apple-perf #41
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name: apple-perf | |
on: | |
schedule: | |
- cron: 0 1 * * * | |
# Note: GitHub has an upper limit of 10 inputs | |
workflow_dispatch: | |
inputs: | |
models: | |
description: Models to be benchmarked | |
required: false | |
type: string | |
default: stories110M | |
devices: | |
description: Target devices to run benchmark | |
required: false | |
type: string | |
default: apple_iphone_15 | |
delegates: | |
description: Backend delegates | |
required: false | |
type: string | |
default: xnnpack | |
benchmark_configs: | |
description: The list of configs used the benchmark | |
required: false | |
type: string | |
test_spec: | |
description: The test spec to drive the test on AWS devices | |
required: false | |
type: string | |
workflow_call: | |
inputs: | |
models: | |
description: Models to be benchmarked | |
required: false | |
type: string | |
default: stories110M | |
devices: | |
description: Target devices to run benchmark | |
required: false | |
type: string | |
default: apple_iphone_15 | |
delegates: | |
description: Backend delegates | |
required: false | |
type: string | |
default: xnnpack | |
benchmark_configs: | |
description: The list of configs used the benchmark | |
required: false | |
type: string | |
test_spec: | |
description: The test spec to drive the test on AWS devices | |
required: false | |
type: string | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} | |
cancel-in-progress: true | |
jobs: | |
set-parameters: | |
runs-on: linux.2xlarge | |
outputs: | |
models: ${{ steps.set-parameters.outputs.models }} | |
devices: ${{ steps.set-parameters.outputs.devices }} | |
delegates: ${{ steps.set-parameters.outputs.delegates }} | |
steps: | |
- name: Set parameters | |
id: set-parameters | |
shell: bash | |
env: | |
# Separate default values from the workflow dispatch. To ensure defaults are accessible | |
# during scheduled runs and to provide flexibility for different defaults between | |
# on-demand and periodic benchmarking. | |
CRON_DEFAULT_MODELS: "stories110M,mv3,ic4,resnet50,edsr,mobilebert,w2l" | |
CRON_DEFAULT_DEVICES: "apple_iphone_15" | |
CRON_DEFAULT_DELEGATES: "xnnpack,coreml" | |
run: | | |
set -ex | |
MODELS="${{ inputs.models }}" | |
if [ -z "$MODELS" ]; then | |
MODELS="$CRON_DEFAULT_MODELS" | |
fi | |
DEVICES="${{ inputs.devices }}" | |
if [ -z "$DEVICES" ]; then | |
DEVICES="$CRON_DEFAULT_DEVICES" | |
fi | |
DELEGATES="${{ inputs.delegates }}" | |
if [ -z "$DELEGATES" ]; then | |
DELEGATES="$CRON_DEFAULT_DELEGATES" | |
fi | |
# Mapping devices to their corresponding device-pool-arn | |
declare -A DEVICE_POOL_ARNS | |
DEVICE_POOL_ARNS[apple_iphone_15]="arn:aws:devicefarm:us-west-2:308535385114:devicepool:02a2cf0f-6d9b-45ee-ba1a-a086587469e6/3b5acd2e-92e2-4778-b651-7726bafe129d" | |
# Resolve device names with their corresponding ARNs | |
if [[ ! $(echo "$DEVICES" | jq empty 2>/dev/null) ]]; then | |
DEVICES=$(echo "$DEVICES" | jq -Rc 'split(",")') | |
fi | |
declare -a MAPPED_ARNS=() | |
for DEVICE in $(echo "$DEVICES" | jq -r '.[]'); do | |
if [[ -z "${DEVICE_POOL_ARNS[$DEVICE]}" ]]; then | |
echo "Error: No ARN found for device '$DEVICE'. Abort." >&2 | |
exit 1 | |
fi | |
MAPPED_ARNS+=("${DEVICE_POOL_ARNS[$DEVICE]}") | |
done | |
echo "models=$(echo $MODELS | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT | |
MAPPED_ARNS_JSON=$(printf '%s\n' "${MAPPED_ARNS[@]}" | jq -R . | jq -s .) | |
echo "devices=$(echo "$MAPPED_ARNS_JSON" | jq -c .)" >> $GITHUB_OUTPUT | |
echo "delegates=$(echo $DELEGATES | jq -Rc 'split(",")')" >> $GITHUB_OUTPUT | |
export-models: | |
name: export-models | |
uses: pytorch/test-infra/.github/workflows/macos_job.yml@main | |
needs: set-parameters | |
strategy: | |
matrix: | |
model: ${{ fromJson(needs.set-parameters.outputs.models) }} | |
delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }} | |
fail-fast: false | |
with: | |
# NB: Need to use our AWS MacOS runner to upload large models to S3 | |
runner: macos-m1-stable | |
python-version: '3.11' | |
submodules: 'true' | |
timeout: 60 | |
upload-artifact: ios-models | |
upload-artifact-to-s3: true | |
script: | | |
set -eux | |
echo "::group::Setting up CI environment" | |
.ci/scripts/setup-conda.sh | |
BUILD_TOOL=cmake | |
# Setup MacOS dependencies as there is no Docker support on MacOS atm | |
GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
.ci/scripts/setup-macos.sh "${BUILD_TOOL}" | |
if [[ ${{ matrix.delegate }} == "coreml" ]]; then | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
backends/apple/coreml/scripts/install_requirements.sh | |
fi | |
if [[ ${{ matrix.delegate }} == "mps" ]]; then | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
backends/apple/mps/install_requirements.sh | |
fi | |
ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded/${{ matrix.model }}_${{ matrix.delegate }} | |
echo "::endgroup::" | |
echo "::group::Exporting ${{ matrix.delegate }} model: ${{ matrix.model }}" | |
BUILD_MODE="cmake" | |
DTYPE="fp32" | |
if [[ ${{ matrix.model }} =~ ^stories* ]]; then | |
# Install requirements for export_llama | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
bash examples/models/llama2/install_requirements.sh | |
# Test llama2 | |
if [[ ${{ matrix.delegate }} == "xnnpack" ]]; then | |
DELEGATE_CONFIG="xnnpack+custom+qe" | |
elif [[ ${{ matrix.delegate }} == "coreml" ]]; then | |
DELEGATE_CONFIG="coreml" | |
fi | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
bash .ci/scripts/test_llama.sh "${{ matrix.model }}" "${BUILD_MODE}" "${DTYPE}" "${DELEGATE_CONFIG}" "${ARTIFACTS_DIR_NAME}" | |
else | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
bash .ci/scripts/test_model.sh "${{ matrix.model }}" "${BUILD_MODE}" "${{ matrix.delegate }}" "${ARTIFACTS_DIR_NAME}" | |
fi | |
echo "::endgroup::" | |
build-benchmark-app: | |
name: build-benchmark-app | |
uses: pytorch/test-infra/.github/workflows/macos_job.yml@main | |
needs: | |
- set-parameters | |
secrets: inherit | |
with: | |
runner: macos-latest-xlarge | |
python-version: '3.11' | |
submodules: 'true' | |
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
upload-artifact: ios-apps | |
secrets-env: BUILD_CERTIFICATE_BASE64 EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64 KEYCHAIN_PASSWORD | |
timeout: 90 | |
script: | | |
set -eux | |
echo "::group::Setting up CI environment" | |
.ci/scripts/setup-conda.sh | |
BUILD_TOOL=cmake | |
# Setup MacOS dependencies as there is no Docker support on MacOS atm | |
GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
.ci/scripts/setup-macos.sh "${BUILD_TOOL}" | |
export ARTIFACTS_DIR_NAME=artifacts-to-be-uploaded | |
# Setup Apple certificate for iOS development | |
BUILD_PROVISION_PROFILE_BASE64="${SECRET_EXECUTORCH_BENCHMARK_BUILD_PROVISION_PROFILE_BASE64}" \ | |
BUILD_CERTIFICATE_BASE64="${SECRET_BUILD_CERTIFICATE_BASE64}" \ | |
KEYCHAIN_PASSWORD="${SECRET_KEYCHAIN_PASSWORD}" \ | |
.ci/scripts/setup-ios.sh | |
# Install CoreML Backend Requirements | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
backends/apple/coreml/scripts/install_requirements.sh | |
# Install MPS Backend Requirements | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
backends/apple/mps/install_requirements.sh | |
echo "::endgroup::" | |
echo "::group::Build ExecuTorch iOS frameworks" | |
FRAMEWORKS=( | |
"executorch" | |
"backend_coreml" | |
"backend_mps" | |
"backend_xnnpack" | |
"kernels_custom" | |
"kernels_optimized" | |
"kernels_portable" | |
"kernels_quantized" | |
) | |
# Build Release iOS Frameworks | |
PYTHON_EXECUTABLE=python ${CONDA_RUN} --no-capture-output \ | |
build/build_apple_frameworks.sh --coreml --custom --mps --optimized --portable --quantized --xnnpack | |
mkdir -p extension/apple/Benchmark/Frameworks | |
for FRAMEWORK in "${FRAMEWORKS[@]}"; do ( | |
cp -r "cmake-out/${FRAMEWORK}.xcframework" extension/apple/Benchmark/Frameworks/ | |
) done | |
echo "::endgroup::" | |
# NB: Although exported models can be copied to this directory and bundled together with the | |
# app, we don't use this in CI and rely on AWS extra data parameter to make the model and the | |
# tokenizer available to the benchmark. This decouples the app and the model. We just need to | |
# create the directory here to pass the build | |
mkdir -p extension/apple/Benchmark/Models | |
${CONDA_RUN} --no-capture-output \ | |
build/build_apple_llm_demo.sh ${ARTIFACTS_DIR_NAME} | |
upload-benchmark-app: | |
needs: build-benchmark-app | |
runs-on: linux.2xlarge | |
steps: | |
- name: Download the apps from GitHub | |
uses: actions/download-artifact@v3 | |
with: | |
# The name here needs to match the name of the upload-artifact parameter | |
name: ios-apps | |
path: ${{ runner.temp }}/artifacts/ | |
- name: Verify the apps | |
shell: bash | |
working-directory: ${{ runner.temp }}/artifacts/ | |
run: | | |
ls -lah ./ | |
- name: Upload the apps to S3 | |
uses: seemethere/upload-artifact-s3@v5 | |
with: | |
s3-bucket: gha-artifacts | |
s3-prefix: | | |
${{ github.repository }}/${{ github.run_id }}/artifacts | |
retention-days: 14 | |
if-no-files-found: ignore | |
path: ${{ runner.temp }}/artifacts/ | |
benchmark-on-device: | |
needs: | |
- set-parameters | |
- upload-benchmark-app | |
- export-models | |
permissions: | |
id-token: write | |
contents: read | |
uses: pytorch/test-infra/.github/workflows/mobile_job.yml@main | |
strategy: | |
matrix: | |
model: ${{ fromJson(needs.set-parameters.outputs.models) }} | |
delegate: ${{ fromJson(needs.set-parameters.outputs.delegates) }} | |
device: ${{ fromJson(needs.set-parameters.outputs.devices) }} | |
fail-fast: false | |
with: | |
# Due to scheduling a job may be pushed beyond the default 60m threshold | |
timeout: 120 | |
device-type: ios | |
# For iOS testing, the runner just needs to call AWS Device Farm, so there is no need to run this on macOS | |
runner: linux.2xlarge | |
test-infra-ref: '' | |
# This is the ARN of ExecuTorch project on AWS | |
project-arn: arn:aws:devicefarm:us-west-2:308535385114:project:02a2cf0f-6d9b-45ee-ba1a-a086587469e6 | |
device-pool-arn: ${{ matrix.device }} | |
# Uploaded to S3 from the previous job | |
ios-ipa-archive: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/Benchmark.ipa | |
ios-xctestrun-zip: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/Benchmark.xctestrun.zip | |
test-spec: ${{ inputs.test_spec || 'https://ossci-ios.s3.amazonaws.com/executorch/default-ios-device-farm-appium-test-spec.yml' }} | |
extra-data: https://gha-artifacts.s3.amazonaws.com/${{ github.repository }}/${{ github.run_id }}/artifacts/${{ matrix.model }}_${{ matrix.delegate }}/model.zip |