LLM Performance Test #4

Workflow file for this run

.github/workflows/llm_performance_tests.yml at 46f0f10

	name: LLM Performance Test

	# Cancel previous runs in the PR when you push new commits
	concurrency:
	group: ${{ github.workflow }}-llm-performance-tests-${{ github.event.pull_request.number \|\| github.run_id }}
	cancel-in-progress: true

	permissions:
	contents: read

	# Controls when the action will run.
	on:
	schedule:
	- cron: "30 16 * * *" # GMT time, 16:30 GMT == 00:30 China
	# please uncomment it for PR tests
	# pull_request:
	# branches: [main]
	# paths:
	# - ".github/workflows/llm_performance_tests.yml"
	# - "python/llm/test/benchmark/**"
	# - "python/llm/dev/benchmark/all-in-one/**"
	workflow_dispatch:
	workflow_call:

	# A workflow run is made up of one or more jobs that can run sequentially or in parallel
	jobs:
	# llm-cpp-build: # please uncomment it for PR tests
	# uses: ./.github/workflows/llm-binary-build.yml

	llm-performance-test-on-arc:
	if: ${{ github.event.schedule \|\| github.event.inputs.artifact == 'llm-performance-test-on-arc' \|\| github.event.inputs.artifact == 'all' }} # please comment it for PR tests
	# needs: llm-cpp-build # please uncomment it for PR tests
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.9"]
	runs-on: [self-hosted, llm, perf]
	env:
	OMP_NUM_THREADS: 16
	THREAD_NUM: 16
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	CSV_SAVE_PATH: ${{ github.event.schedule && '/mnt/disk1/nightly_perf_gpu/' \|\| '/mnt/disk1/pr_perf_gpu/' }}

	steps:
	- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3

	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install dependencies
	shell: bash
	# pip install transformers_stream_generator for model internlm-chat-7b-8k
	# pip install tiktoken for model Qwen-7B-Chat-10-12
	run: \|
	python -m pip install --upgrade pip
	python -m pip install --upgrade wheel
	python -m pip install --upgrade omegaconf
	python -m pip install --upgrade pandas
	python -m pip install --upgrade einops
	python -m pip install --upgrade transformers_stream_generator
	python -m pip install --upgrade tiktoken

	# please uncomment it and comment the "Install BigDL-LLM from Pypi" part for PR tests
	# - name: Download llm binary
	# uses: ./.github/actions/llm/download-llm-binary

	# - name: Run LLM install (all) test
	# uses: ./.github/actions/llm/setup-llm-env
	# with:
	# extra-dependency: "xpu_2.1"

	- name: Install BigDL-LLM from Pypi
	shell: bash
	run: \|
	pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
	test_version_date=`date -d 'yesterday' '+%Y%m%d'`
	if ! pip show bigdl-llm \| grep $test_version_date; then
	echo "Did not install bigdl-llm with excepted version $test_version_date"
	exit 1
	fi

	- name: Test installed xpu version
	shell: bash
	run: \|
	source /opt/intel/oneapi/setvars.sh
	bash python/llm/test/run-llm-install-tests.sh

	- name: Test on xpu(transformers==4.31.0)
	shell: bash
	run: \|
	date_for_test_version=$(date -d yesterday +%Y-%m-%d)
	sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py

	source /opt/intel/oneapi/setvars.sh
	export USE_XETLA=OFF
	export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
	cp python/llm/test/benchmark/arc-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
	cd python/llm/dev/benchmark/all-in-one
	# hide time info
	sed -i 's/str(end - st)/"xxxxxx"/g' run.py
	# change csv name
	sed -i 's/{today}/{today}_test1/g' run.py
	python run.py

	- name: Test on xpu(transformers==4.34.0)
	shell: bash
	run: \|
	source /opt/intel/oneapi/setvars.sh
	export USE_XETLA=OFF
	export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
	# upgrade transformers for model Mistral-7B-v0.1
	python -m pip install transformers==4.34.0
	cp python/llm/test/benchmark/arc-perf-transformers-434.yaml python/llm/dev/benchmark/all-in-one/config.yaml
	cd python/llm/dev/benchmark/all-in-one
	# change csv name
	sed -i 's/test1/test2/g' run.py
	python run.py

	- name: Test on xpu(transformers==4.37.0)
	shell: bash
	run: \|
	source /opt/intel/oneapi/setvars.sh
	export USE_XETLA=OFF
	export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
	# upgrade transformers for model Qwen/Qwen1.5-7B-Chat
	python -m pip install transformers==4.37.0
	cp python/llm/test/benchmark/arc-perf-transformers-437.yaml python/llm/dev/benchmark/all-in-one/config.yaml
	cd python/llm/dev/benchmark/all-in-one
	# change csv name
	sed -i 's/test2/test3/g' run.py
	python run.py

	- name: Concat csv and generate html
	shell: bash
	run: \|
	cd python/llm/dev/benchmark/all-in-one
	python ../../../test/benchmark/concat_csv.py
	for file in *.csv; do
	if [[ $file != test ]]; then
	cp "$file" $CSV_SAVE_PATH
	fi
	done
	python -m pip install pandas==1.5.3
	cd ../../../test/benchmark
	python csv_to_html.py -f $CSV_SAVE_PATH

	- name: Check and upload results to ftp
	shell: bash
	run: \|
	cd python/llm/dev/benchmark/all-in-one
	python ../../../test/benchmark/check_results.py -c test1 -y ../../../test/benchmark/arc-perf-test.yaml
	python ../../../test/benchmark/check_results.py -c test2 -y ../../../test/benchmark/arc-perf-transformers-434.yaml
	find . -name "test.csv" -delete
	if [ ${{ github.event.schedule}} ]; then
	curl -T ./*.csv ${LLM_FTP_URL}/llm/nightly_perf/gpu/
	fi

	llm-performance-test-on-spr:
	if: ${{ github.event.schedule \|\| github.event.inputs.artifact == 'llm-performance-test-on-spr' \|\| github.event.inputs.artifact == 'all' }} # please comment it for PR tests
	# needs: llm-cpp-build # please uncomment it for PR tests
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.9"]
	runs-on: [self-hosted, llm, spr01-perf]
	env:
	OMP_NUM_THREADS: 16
	THREAD_NUM: 16
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	steps:
	- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3

	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install dependencies
	shell: bash
	run: \|
	python -m pip install --upgrade pip
	python -m pip install --upgrade wheel
	python -m pip install --upgrade omegaconf
	python -m pip install --upgrade pandas
	python -m pip install --upgrade einops
	python -m pip install --upgrade tiktoken
	python -m pip install --upgrade transformers_stream_generator

	# please uncomment it and comment the "Install BigDL-LLM from Pypi" part for PR tests
	# - name: Download llm binary
	# uses: ./.github/actions/llm/download-llm-binary

	# - name: Run LLM install (all) test
	# uses: ./.github/actions/llm/setup-llm-env

	- name: Install BigDL-LLM from Pypi
	shell: bash
	run: \|
	pip install --pre --upgrade bigdl-llm[all] -f https://developer.intel.com/ipex-whl-stable-xpu
	test_version_date=`date -d 'yesterday' '+%Y%m%d'`
	if ! pip show bigdl-llm \| grep $test_version_date; then
	echo "Did not install bigdl-llm with excepted version $test_version_date"
	exit 1
	fi

	- name: Test on cpu
	shell: bash
	run: \|
	date_for_test_version=$(date -d yesterday +%Y-%m-%d)
	sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py

	mv python/llm/test/benchmark/cpu-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
	cd python/llm/dev/benchmark/all-in-one
	export http_proxy=${HTTP_PROXY}
	export https_proxy=${HTTPS_PROXY}
	source bigdl-llm-init -t
	export OMP_NUM_THREADS=48
	# hide time info
	sed -i 's/str(end - st)/"xxxxxx"/g' run.py
	python run.py
	cp ./*.csv /models/nightly_perf_cpu
	cd ../../../test/benchmark
	python -m pip install pandas==1.5.3
	python csv_to_html.py -f /models/nightly_perf_cpu
	cd /models/nightly_perf_cpu
	for f in *.html; do
	curl -T "$f" ${LLM_FTP_URL}/llm/nightly_perf/nightly_perf_cpu/
	done

	llm-performance-test-on-core:
	if: ${{ github.event.schedule \|\| github.event.inputs.artifact == 'llm-performance-test-on-core' \|\| github.event.inputs.artifact == 'all' }} # please comment it for PR tests
	# needs: llm-cpp-build # please uncomment it for PR tests
	strategy:
	fail-fast: false
	matrix:
	include:
	- os: windows
	platform: dp
	python-version: "3.9"
	# - os: windows
	# platform: lp
	# python-version: "3.9"
	runs-on: [self-hosted, "${{ matrix.os }}", llm, perf-core, "${{ matrix.platform }}"]
	env:
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	CSV_SAVE_PATH: ${{ github.event.schedule && 'D:/action-runners/nightly_perf_core_' \|\| 'D:/action-runners/pr_perf_core_' }}${{ matrix.platform }}/
	steps:
	- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3

	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install dependencies
	shell: bash
	run: \|
	python -m pip install --upgrade pip
	python -m pip install --upgrade wheel
	python -m pip install --upgrade omegaconf pandas
	python -m pip install --upgrade tiktoken einops transformers_stream_generator

	# please uncomment it and comment the "Install BigDL-LLM from Pypi" part for PR tests
	# - name: Download llm binary
	# uses: ./.github/actions/llm/download-llm-binary

	# - name: Run LLM install (all) test
	# uses: ./.github/actions/llm/setup-llm-env

	- name: Install BigDL-LLM from Pypi
	shell: bash
	run: \|
	pip install --pre --upgrade bigdl-llm[all] -f https://developer.intel.com/ipex-whl-stable-xpu
	test_version_date=`date -d 'yesterday' '+%Y%m%d'`
	if ! pip show bigdl-llm \| grep $test_version_date; then
	echo "Did not install bigdl-llm with excepted version $test_version_date"
	exit 1
	fi

	- name: Test on core ${{ matrix.platform }}
	shell: bash
	run: \|
	date_for_test_version=$(date -d yesterday +%Y-%m-%d)
	sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py

	mv python/llm/test/benchmark/core-perf-test.yaml python/llm/dev/benchmark/all-in-one/config.yaml
	cd python/llm/dev/benchmark/all-in-one
	export http_proxy=${HTTP_PROXY}
	export https_proxy=${HTTPS_PROXY}
	# hide time info
	sed -i 's/str(end - st)/"xxxxxx"/g' run.py
	python run.py
	cp ./*.csv $CSV_SAVE_PATH
	cd ../../../test/benchmark
	python -m pip install pandas==1.5.3
	python csv_to_html.py -f $CSV_SAVE_PATH
	cd ../../dev/benchmark/all-in-one/
	if [ ${{ github.event.schedule}} ]; then
	curl -T ./*.csv ${LLM_FTP_URL}/llm/nightly_perf/core_${{ matrix.platform }}/
	fi

	llm-performance-test-on-igpu:
	if: ${{ github.event.schedule \|\| github.event.inputs.artifact == 'llm-performance-test-on-igpu' \|\| github.event.inputs.artifact == 'all' }} # please comment it for PR tests
	# needs: llm-cpp-build # please uncomment it for PR tests
	strategy:
	fail-fast: false
	matrix:
	include:
	- os: windows
	python-version: "3.9"
	runs-on: [self-hosted, "${{ matrix.os }}", llm, perf-igpu]
	env:
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	steps:
	- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3

	# TODO: Put the bigdl-llm related install process for win gpu into a action function

	# Please uncomment it and commment the install from pypi for PR tests
	# - name: Download llm binary
	# uses: ./.github/actions/llm/download-llm-binary

	# - name: Prepare for install bigdl-llm from source
	# shell: bash
	# run: \|
	# sed -i 's/"bigdl-core-xe-21==" + VERSION + "/"bigdl-core-xe-21/g' python/llm/setup.py
	# sed -i 's/"bigdl-core-xe-21==" + VERSION/"bigdl-core-xe-21"/g' python/llm/setup.py

	# - name: Install bigdl-llm and other related packages (install from source)
	# shell: cmd
	# run: \|
	# call conda create -n igpu-perf python=${{ matrix.python-version }} libuv -y
	# call conda activate igpu-perf

	# pip install --upgrade pip
	# pip install --upgrade wheel
	# pip install --upgrade omegaconf pandas
	# pip install --upgrade tiktoken einops transformers_stream_generator

	# cd python\llm
	# python setup.py clean --all bdist_wheel --win
	# if not exist dist\bigdl_llm*.whl (exit /b 1)
	# for %%i in (dist\bigdl_llm*.whl) do set whl_name=%%i

	# pip install --pre --upgrade %whl_name%[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
	# if %ERRORLEVEL% neq 0 (exit /b 1)
	# pip list

	# call conda deactivate

	- name: Determine desired bigdl-llm version
	shell: bash
	run: \|
	test_version_date=`date -d 'yesterday' '+%Y%m%d'`
	echo "TEST_VERSION_DATE=${test_version_date}" >> "$GITHUB_ENV"

	- name: Install bigdl-llm and other related packages (install from pypi)
	shell: cmd
	run: \|
	call conda create -n igpu-perf python=${{ matrix.python-version }} libuv -y
	call conda activate igpu-perf

	pip install --upgrade pip
	pip install --upgrade wheel
	pip install --upgrade omegaconf pandas
	pip install --upgrade tiktoken einops transformers_stream_generator

	pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
	pip show bigdl-llm \| findstr %TEST_VERSION_DATE%
	if %ERRORLEVEL% neq 0 (
	echo "Did not install bigdl-llm with excepted version %TEST_VERSION_DATE%"
	exit /b 1
	)
	pip list

	call conda deactivate

	- name: Create env for html generation
	shell: cmd
	run: \|
	call conda create -n html-gen python=3.9 -y
	call conda activate html-gen

	pip install pandas==1.5.3
	pip install Jinja2

	call conda deactivate

	- name: Set directory envs & and fix generated csv date name
	shell: bash
	run: \|
	if [ ${{ github.event_name }} == 'schedule' ]; then
	echo "CSV_SAVE_PATH=${CSV_NIGHTLY_PATH}" >> "$GITHUB_ENV"
	else
	echo "CSV_SAVE_PATH=${CSV_PR_PATH}" >> "$GITHUB_ENV"
	fi
	date_for_test_version=$(date -d yesterday +%Y-%m-%d)
	echo "LOG_FILE=${date_for_test_version}_output.txt" >> "$GITHUB_ENV"

	sed -i "s/date.today()/\"$date_for_test_version\"/g" python/llm/dev/benchmark/all-in-one/run.py

	- name: Prepare igpu perf test (32-32)
	shell: bash
	run: \|
	# hide time info
	# sed -i 's/str(end - st)/"xxxxxx"/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i 's/{api}-results-{today}.csv/32-32-{api}-results-{today}_test1.csv/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32.yaml

	- name: Test on igpu (32-32)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1
	REM for llava
	set TRANSFORMERS_OFFLINE=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\32-32.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\32-32\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Mistral (32-32)
	shell: bash
	run: \|
	sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32_434.yaml

	- name: Test on igpu for Mistral (32-32)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.34.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\32-32_434.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\32-32\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Qwen1.5 (32-32)
	shell: bash
	run: \|
	sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/32-32_437.yaml

	- name: Test on igpu for Qwen1.5 (32-32)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.37.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\32-32_437.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\32-32\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Concat csv and generate html (32-32)
	shell: cmd
	run: \|
	call conda activate html-gen

	cd python\llm\dev\benchmark\all-in-one
	python ..\..\..\test\benchmark\concat_csv.py
	if %ERRORLEVEL% neq 0 (exit /b 1)
	del /q test.csv
	move *.csv %CSV_SAVE_PATH%\32-32\
	cd ..\..\..\test\benchmark
	python csv_to_html.py -f %CSV_SAVE_PATH%\32-32\
	if %ERRORLEVEL% neq 0 (exit /b 1)
	move %CSV_SAVE_PATH%\32-32\*.html %CSV_SAVE_PATH%

	call conda deactivate

	# TODO: create a action function here for different input
	# 1024-128
	- name: Prepare igpu perf test (1024-128)
	shell: bash
	run: \|
	sed -i 's/32-32/1024-128/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128.yaml

	- name: Test on igpu (1024-128)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.31.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1
	REM for llava
	set TRANSFORMERS_OFFLINE=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\1024-128.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Mistral (1024-128)
	shell: bash
	run: \|
	sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_434.yaml

	- name: Test on igpu for Mistral (1024-128)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.34.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\1024-128_434.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Qwen 1.5 (1024-128)
	shell: bash
	run: \|
	sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_437.yaml

	- name: Test on igpu for Qwen 1.5 (1024-128)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.37.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\1024-128_437.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\1024-128\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Concat csv and generate html (1024-128)
	shell: cmd
	run: \|
	call conda activate html-gen

	cd python\llm\dev\benchmark\all-in-one
	python ..\..\..\test\benchmark\concat_csv.py
	if %ERRORLEVEL% neq 0 (exit /b 1)
	del /q test.csv
	move *.csv %CSV_SAVE_PATH%\1024-128\
	cd ..\..\..\test\benchmark
	python csv_to_html.py -f %CSV_SAVE_PATH%\1024-128\
	if %ERRORLEVEL% neq 0 (exit /b 1)
	move %CSV_SAVE_PATH%\1024-128\*.html %CSV_SAVE_PATH%

	call conda deactivate

	# 2048-256
	- name: Prepare igpu perf test (2048-256)
	shell: bash
	run: \|
	sed -i 's/1024-128/2048-256/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256.yaml

	- name: Test on igpu (2048-256)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.31.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1
	REM for llava
	set TRANSFORMERS_OFFLINE=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\2048-256.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\2048-256\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Mistral (2048-256)
	shell: bash
	run: \|
	sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256_434.yaml

	- name: Test on igpu for Mistral (2048-256)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.34.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\2048-256_434.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\2048-256\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Qwen 1.5 (2048-256)
	shell: bash
	run: \|
	sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/2048-256_437.yaml

	- name: Test on igpu for Qwen 1.5 (2048-256)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.37.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\2048-256_437.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\2048-256\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Concat csv and generate html (2048-256)
	shell: cmd
	run: \|
	call conda activate html-gen

	cd python\llm\dev\benchmark\all-in-one
	python ..\..\..\test\benchmark\concat_csv.py
	if %ERRORLEVEL% neq 0 (exit /b 1)
	del /q test.csv
	move *.csv %CSV_SAVE_PATH%\2048-256\
	cd ..\..\..\test\benchmark
	python csv_to_html.py -f %CSV_SAVE_PATH%\2048-256\
	if %ERRORLEVEL% neq 0 (exit /b 1)
	move %CSV_SAVE_PATH%\2048-256\*.html %CSV_SAVE_PATH%

	call conda deactivate

	# load_low_bit 1024-128
	- name: Prepare igpu perf test (load_low_bit 1024-128)
	shell: bash
	run: \|
	sed -i 's/2048-256/1024-128/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i 's/{today}_test3/{today}_test1/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_loadlowbit.yaml

	- name: Test on igpu (load_low_bit 1024-128)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.31.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1
	REM for llava
	set TRANSFORMERS_OFFLINE=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\1024-128_loadlowbit.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\1024-128_loadlowbit\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Mistral (load_low_bit 1024-128)
	shell: bash
	run: \|
	sed -i 's/{today}_test1/{today}_test2/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_loadlowbit_434.yaml

	- name: Test on igpu for Mistral (load_low_bit 1024-128)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.34.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\1024-128_loadlowbit_434.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\1024-128_loadlowbit\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Prepare igpu perf test for Qwen 1.5 (load_low_bit 1024-128)
	shell: bash
	run: \|
	sed -i 's/{today}_test2/{today}_test3/g' python/llm/dev/benchmark/all-in-one/run.py
	sed -i "s/path to your local model hub/$MODEL_HUB_DIR/g" python/llm/test/benchmark/igpu-perf/1024-128_loadlowbit_437.yaml

	- name: Test on igpu for Qwen 1.5 (load_low_bit 1024-128)
	shell: cmd
	run: \|
	call conda activate igpu-perf
	pip install transformers==4.37.0

	call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat"
	set SYCL_CACHE_PERSISTENT=1
	set BIGDL_LLM_XMX_DISABLED=1

	cd python\llm\dev\benchmark\all-in-one
	move ..\..\..\test\benchmark\igpu-perf\1024-128_loadlowbit_437.yaml config.yaml
	set PYTHONIOENCODING=utf-8
	python run.py >> %CSV_SAVE_PATH%\1024-128_loadlowbit\log\%LOG_FILE% 2>&1
	if %ERRORLEVEL% neq 0 (exit /b 1)

	call conda deactivate

	- name: Concat csv and generate html (load_low_bit 1024-128)
	shell: cmd
	run: \|
	call conda activate html-gen

	cd python\llm\dev\benchmark\all-in-one
	python ..\..\..\test\benchmark\concat_csv.py
	if %ERRORLEVEL% neq 0 (exit /b 1)
	del /q test.csv
	move *.csv %CSV_SAVE_PATH%\1024-128_loadlowbit\
	cd ..\..\..\test\benchmark
	python csv_to_html.py -f %CSV_SAVE_PATH%\1024-128_loadlowbit\
	if %ERRORLEVEL% neq 0 (exit /b 1)
	move %CSV_SAVE_PATH%\1024-128_loadlowbit\*.html %CSV_SAVE_PATH%

	call conda deactivate

	- name: Upload results to ftp
	if: ${{ always() }}
	shell: cmd
	run: \|
	cd %CSV_SAVE_PATH%
	IF "${{ github.event_name }}"=="schedule" (
	for %%f in (*.html) do (
	curl -T "%%f" %FTP_IGPU_NIGHTLY_PERF_PATH%
	)
	)

	# for test on machine when encountering error
	# - name: Remove conda env
	# if: ${{ always() }}
	# shell: cmd
	# run: \|
	# call conda env remove -n igpu-perf -y

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