LLM Harness Evaluation #492
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| 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: ["3.11"] | |
| 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 ipex-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 3.11 | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.11 | |
| - 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: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}} | |
| needs: [llm-harness-evaluation] | |
| runs-on: ["self-hosted", "llm", "accuracy1", "accuracy-nightly"] | |
| steps: | |
| - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3 | |
| - name: Set up Python 3.11 | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: 3.11 | |
| - name: Install dependencies | |
| shell: bash | |
| run: | | |
| pip install --upgrade pip | |
| pip install jsonlines pytablewriter regex | |
| pip install pandas==1.5.3 | |
| - name: Set output path | |
| shell: bash | |
| run: | | |
| echo "DATE=$(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/ipex-llm/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 |