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11
.github/workflows/llm-harness-evaluation.yml
vendored
11
.github/workflows/llm-harness-evaluation.yml
vendored
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@ -174,30 +174,25 @@ jobs:
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export HF_DATASETS_CACHE=$HARNESS_HF_HOME/datasets
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export HF_DATASETS_CACHE=$HARNESS_HF_HOME/datasets
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source /opt/intel/oneapi/setvars.sh
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source /opt/intel/oneapi/setvars.sh
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DATE=$(date +%Y-%m-%d)
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OUTPUT_PATH="results_$DATE"
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echo "OUTPUT_PATH=$OUTPUT_PATH" >> $GITHUB_ENV
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echo "output_path=$OUTPUT_PATH" >> $GITHUB_OUTPUT
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python run_llb.py \
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python run_llb.py \
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--model bigdl-llm \
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--model bigdl-llm \
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--pretrained ${MODEL_PATH} \
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--pretrained ${MODEL_PATH} \
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--precision ${{ matrix.precision }} \
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--precision ${{ matrix.precision }} \
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--device ${{ matrix.device }} \
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--device ${{ matrix.device }} \
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--tasks ${{ matrix.task }} \
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--tasks ${{ matrix.task }} \
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--batch_size 1 --no_cache --output_path $OUTPUT_PATH
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--batch_size 1 --no_cache --output_path results
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- uses: actions/upload-artifact@v3
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- uses: actions/upload-artifact@v3
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with:
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with:
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name: harness_results
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name: harness_results
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path:
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path:
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${{ github.workspace }}/python/llm/dev/benchmark/harness/${{ env.OUTPUT_PATH }}/**
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${{ github.workspace }}/python/llm/dev/benchmark/harness/results/**
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- name: echo single result
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- name: echo single result
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shell: bash
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shell: bash
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working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness/${{ env.OUTPUT_PATH }}/
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working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/harness/results/
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run: |
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run: |
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cat ${{ matrix.model_name }}/${{ matrix.device }}/${{ matrix.precision }}/${{ matrix.task }}/result.json
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cat ${{ matrix.model_name }}/${{ matrix.device }}/${{ matrix.precision }}/${{ matrix.task }}/result.json
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