name: LLM Harness Evaluation # Cancel previous runs in the PR when you push new commits concurrency: group: ${{ github.workflow }}-llm-nightly-test-${{ 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 12 * * *" # GMT time, 12:30 GMT == 20:30 China pull_request: branches: [main] paths: - ".github/workflows/llm-harness-evaluation.yml" # Allows you to run this workflow manually from the Actions tab workflow_dispatch: inputs: model_name: description: 'Model names, separated by comma and must be quoted.' required: true type: string precision: description: 'Precisions, separated by comma and must be quoted.' required: true type: string task: description: 'Tasks, separated by comma and must be quoted.' required: true type: string runs-on: description: 'Labels to filter the runners, separated by comma and must be quoted.' default: "accuracy" required: false type: string # 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 with: platform: 'Linux' # Set the testing matrix based on the event (schedule, PR, or manual dispatch) set-matrix: runs-on: ubuntu-latest outputs: model_name: ${{ steps.set-matrix.outputs.model_name }} precision: ${{ steps.set-matrix.outputs.precision }} task: ${{ steps.set-matrix.outputs.task }} runner: ${{ steps.set-matrix.outputs.runner }} steps: - name: set-nightly-env if: ${{github.event_name == 'schedule'}} env: NIGHTLY_MATRIX_MODEL_NAME: '["Llama2-7b-guanaco-dolphin-500", "falcon-7b-instruct-with-patch", "Mistral-7B-v0.1", "mpt-7b-chat", "Baichuan2-7B-Chat-LLaMAfied"]' NIGHTLY_MATRIX_TASK: '["arc", "truthfulqa", "winogrande"]' NIGHTLY_MATRIX_PRECISION: '["sym_int4", "fp8"]' NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]' run: | echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV echo "task=$NIGHTLY_MATRIX_TASK" >> $GITHUB_ENV echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV - name: set-pr-env if: ${{github.event_name == 'pull_request'}} env: PR_MATRIX_MODEL_NAME: '["stablelm-3b-4e1t"]' PR_MATRIX_TASK: '["winogrande"]' PR_MATRIX_PRECISION: '["sym_int4"]' PR_LABELS: '["self-hosted", "llm", "temp-arc01"]' run: | echo "model_name=$PR_MATRIX_MODEL_NAME" >> $GITHUB_ENV echo "precision=$PR_MATRIX_PRECISION" >> $GITHUB_ENV echo "task=$PR_MATRIX_TASK" >> $GITHUB_ENV echo "runner=$PR_LABELS" >> $GITHUB_ENV - name: set-manual-env if: ${{github.event_name == 'workflow_dispatch'}} env: MANUAL_MATRIX_MODEL_NAME: ${{format('[ {0} ]', inputs.model_name)}} MANUAL_MATRIX_TASK: ${{format('[ {0} ]', inputs.task)}} MANUAL_MATRIX_PRECISION: ${{format('[ {0} ]', inputs.precision)}} MANUAL_LABELS: ${{format('["self-hosted", "llm", {0}]', inputs.runs-on)}} run: | echo "model_name=$MANUAL_MATRIX_MODEL_NAME" >> $GITHUB_ENV echo "precision=$MANUAL_MATRIX_PRECISION" >> $GITHUB_ENV echo "task=$MANUAL_MATRIX_TASK" >> $GITHUB_ENV echo "runner=$MANUAL_LABELS" >> $GITHUB_ENV - name: set-matrix id: set-matrix run: | echo "model_name=$model_name" >> $GITHUB_OUTPUT echo "precision=$precision" >> $GITHUB_OUTPUT echo "task=$task" >> $GITHUB_OUTPUT echo "runner=$runner" >> $GITHUB_OUTPUT llm-harness-evaluation: timeout-minutes: 1000 needs: [llm-cpp-build, set-matrix] strategy: fail-fast: false matrix: python-version: ["3.9"] model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }} task: ${{ fromJson(needs.set-matrix.outputs.task) }} precision: ${{ fromJson(needs.set-matrix.outputs.precision) }} device: [xpu] runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }} env: ANALYTICS_ZOO_ROOT: ${{ github.workspace }} ORIGIN_DIR: /mnt/disk1/models HARNESS_HF_HOME: /mnt/disk1/harness_home 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: | set -e python -m pip install --upgrade pip python -m pip install --upgrade setuptools==58.0.4 python -m pip install --upgrade wheel - name: Download llm binary uses: ./.github/actions/llm/download-llm-binary with: platform: 'Linux' - name: Run LLM install (all) test uses: ./.github/actions/llm/setup-llm-env with: extra-dependency: "xpu_2.1" - name: Install harness working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness/ shell: bash run: | git clone https://github.com/EleutherAI/lm-evaluation-harness.git cd lm-evaluation-harness git checkout b281b09 pip install -e . - name: Download models and datasets shell: bash run: | echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV" MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/ if [ ! -d $HARNESS_HF_HOME ]; then mkdir -p $HARNESS_HF_HOME fi wget -r -nH -nc -l inf --no-verbose --cut-dirs=2 ${LLM_FTP_URL}/llm/LeaderBoard_Datasets/ -P $HARNESS_HF_HOME/ wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR} - name: Upgrade packages shell: bash run: | pip install --upgrade datasets==2.14.6 if [ "${{ matrix.model_name }}" = "Mistral-7B-v0.1" ]; then pip install --upgrade transformers==4.36 else pip install --upgrade transformers==4.31 fi - name: Run harness shell: bash working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness env: USE_XETLA: OFF # SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS: 1 run: | export HF_HOME=${HARNESS_HF_HOME} export HF_DATASETS=$HARNESS_HF_HOME/datasets export HF_DATASETS_CACHE=$HARNESS_HF_HOME/datasets source /opt/intel/oneapi/setvars.sh # set --limit if it's pr-triggered to accelerate pr action if ${{github.event_name == 'pull_request'}}; then export LIMIT="--limit 6" fi python run_llb.py \ --model bigdl-llm \ --pretrained ${MODEL_PATH} \ --precision ${{ matrix.precision }} \ --device ${{ matrix.device }} \ --tasks ${{ matrix.task }} \ --batch_size 1 --no_cache --output_path results \ $LIMIT - uses: actions/upload-artifact@v3 with: name: harness_results path: ${{ github.workspace }}/python/llm/dev/benchmark/harness/results/** - name: echo single result shell: bash working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness/results/ run: | cat ${{ matrix.model_name }}/${{ matrix.device }}/${{ matrix.precision }}/${{ matrix.task }}/result.json llm-harness-summary: if: ${{ always() }} needs: llm-harness-evaluation runs-on: ubuntu-latest steps: - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 - name: Set up Python 3.9 uses: actions/setup-python@v4 with: python-version: 3.9 - name: Install dependencies shell: bash run: | pip install --upgrade pip pip install jsonlines pytablewriter regex - name: Download all results uses: actions/download-artifact@v3 with: name: harness_results path: results - name: Summarize the results shell: bash run: | ls results python ${{ github.workspace }}/python/llm/dev/benchmark/harness/make_table.py results # TODO: change machine to store the results later llm-harness-html: if: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}} needs: [llm-harness-evaluation] runs-on: ["self-hosted", "llm", "accuracy1", "accuracy-nightly"] steps: - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 - name: Set up Python 3.9 uses: actions/setup-python@v4 with: python-version: 3.9 - name: Install dependencies shell: bash run: | pip install --upgrade pip pip install jsonlines pytablewriter regex pip install pandas==1.5.3 - name: Set output path shell: bash run: | echo "DATE=$(date +%Y-%m-%d)" >> $GITHUB_ENV if ${{github.event_name == 'pull_request'}}; then echo 'ACC_FOLDER=/home/arda/action-runners/harness/pr-accuracy-data' >> $GITHUB_ENV fi if ${{github.event_name == 'schedule'}}; then echo 'ACC_FOLDER=/home/arda/action-runners/harness/nightly-accuracy-data' >> $GITHUB_ENV fi - name: Download harness results uses: actions/download-artifact@v3 with: name: harness_results path: ${{ env.ACC_FOLDER}}/${{ env.DATE }} # Save fp16.csv in the parent folder of env.nightly_folder - name: Download FP16 results shell: bash run: | wget https://raw.githubusercontent.com/intel-analytics/BigDL/main/python/llm/test/benchmark/harness/fp16.csv -O $ACC_FOLDER/../fp16.csv ls $ACC_FOLDER/.. - name: Write to CSV working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness shell: bash run: | ls $ACC_FOLDER/$DATE python make_csv.py $ACC_FOLDER/$DATE $ACC_FOLDER - name: Update HTML working-directory: ${{ github.workspace }}/python/llm/test/benchmark/harness shell: bash run: | python harness_csv_to_html.py -f $ACC_FOLDER if ${{github.event_name == 'schedule'}}; then python update_html_in_parent_folder.py -f $ACC_FOLDER fi