llm_performance_tests.yml

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