ipex-llm/.github/workflows/llm_performance_tests_stable_version.yml

name: LLM Performance Test for Stable Version

# 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

# Controls when the action will run.
on:
  # 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:
    uses: ./.github/workflows/llm-binary-build.yml

  llm-performance-test-on-arc:
    needs: llm-cpp-build
    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: '/mnt/disk1/stable_version_perf_gpu/'

    steps:
      - uses: 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          

      - 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"

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

      - name: Test on xpu (int4)
        shell: bash
        run: |
          source /home/arda/intel/oneapi/setvars.sh
          export USE_XETLA=OFF
          export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
          mv python/llm/test/benchmark/stable-version-arc-perf-test-sym_int4.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
          python run.py
          cp ./*.csv $CSV_SAVE_PATH/int4
          rm ./*.csv
          cd ../../../test/benchmark
          python -m pip install pandas==1.5.3
          python csv_to_html.py -f $CSV_SAVE_PATH/int4 -b $CSV_SAVE_PATH/int4/transformer_int4_gpu-results-1baseline.csv -t 5.0          

      - name: Test on xpu (fp8)
        shell: bash
        run: |
          source /home/arda/intel/oneapi/setvars.sh
          export USE_XETLA=OFF
          export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
          mv python/llm/test/benchmark/stable-version-arc-perf-test-fp8.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
          python run.py
          cp ./*.csv $CSV_SAVE_PATH/fp8
          rm ./*.csv
          cd ../../../test/benchmark
          python -m pip install pandas==1.5.3
          python csv_to_html.py -f $CSV_SAVE_PATH/fp8 -b $CSV_SAVE_PATH/fp8/transformer_int4_gpu-results-1baseline.csv -t 5.0          


  llm-performance-test-on-spr:
    needs: llm-cpp-build
    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@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          

      - 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: Test on cpu
        shell: bash
        run: |
          mv python/llm/test/benchmark/stable-version-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/ -b /models/nightly_perf_cpu/transformer_int4-results-1baseline.csv -t 5.0