1c5eb14128
* Change to 'pip install .. --extra-index-url' for readthedocs * Change to 'pip install .. --extra-index-url' for examples * Change to 'pip install .. --extra-index-url' for remaining files * Fix URL for ipex * Add links for ipex US and CN servers * Update ipex cpu url * remove readme * Update for github actions * Update for dockerfiles
207 lines
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7.9 KiB
YAML
207 lines
No EOL
7.9 KiB
YAML
name: LLM Whisper Models Evaluation
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# Cancel previous runs in the PR when you push new commits
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concurrency:
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group: ${{ github.workflow }}-llm-nightly-test-${{ github.event.pull_request.number || github.run_id }}
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cancel-in-progress: true
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permissions:
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contents: read
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# Controls when the action will run.
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on:
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schedule:
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- cron: "00 13 * * *" # GMT time, 13:00 GMT == 21:00 China
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pull_request:
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branches: [main]
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paths:
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- ".github/workflows/llm-whisper-evaluation.yml"
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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inputs:
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model_name:
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description: 'Model names, separated by comma and must be quoted.'
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required: true
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type: string
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precision:
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description: 'Precisions, separated by comma and must be quoted.'
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required: true
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type: string
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task:
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description: 'Tasks, separated by comma and must be quoted.'
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required: true
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type: string
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runs-on:
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description: 'Labels to filter the runners, separated by comma and must be quoted.'
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default: "accuracy"
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required: false
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type: string
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# A workflow run is made up of one or more jobs that can run sequentially or in parallel
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jobs:
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llm-cpp-build: # please uncomment it for PR tests
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uses: ./.github/workflows/llm-binary-build.yml
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# Set the testing matrix based on the event (schedule, PR, or manual dispatch)
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set-matrix:
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runs-on: ubuntu-latest
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outputs:
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model_name: ${{ steps.set-matrix.outputs.model_name }}
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precision: ${{ steps.set-matrix.outputs.precision }}
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task: ${{ steps.set-matrix.outputs.task }}
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runner: ${{ steps.set-matrix.outputs.runner }}
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steps:
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- name: set-env
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env:
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MATRIX_MODEL_NAME: '["whisper-tiny", "whisper-small", "whisper-medium", "whisper-base"]'
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MATRIX_TASK: '["librispeech"]'
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MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
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LABELS: '["self-hosted", "llm", "perf"]'
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run: |
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echo "model_name=$MATRIX_MODEL_NAME" >> $GITHUB_ENV
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echo "task=$MATRIX_TASK" >> $GITHUB_ENV
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echo "precision=$MATRIX_PRECISION" >> $GITHUB_ENV
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echo "runner=$LABELS" >> $GITHUB_ENV
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- name: set-matrix
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id: set-matrix
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run: |
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echo "model_name=$model_name" >> $GITHUB_OUTPUT
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echo "task=$task" >> $GITHUB_OUTPUT
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echo "precision=$precision" >> $GITHUB_OUTPUT
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echo "runner=$runner" >> $GITHUB_OUTPUT
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llm-whisper-evaluation:
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# if: ${{ github.event.schedule || github.event.inputs.artifact == 'llm-whisper-evaluation' || github.event.inputs.artifact == 'all' }} # please comment it for PR tests
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needs: [llm-cpp-build, set-matrix] # please uncomment it for PR tests
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# needs: [set-matrix] # please comment it for PR tests
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.9"]
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model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }}
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task: ${{ fromJson(needs.set-matrix.outputs.task) }}
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precision: ${{ fromJson(needs.set-matrix.outputs.precision) }}
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device: [xpu]
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runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }}
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env:
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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ORIGIN_DIR: /mnt/disk1/models
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steps:
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- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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shell: bash
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run: |
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python -m pip install --upgrade pip
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python -m pip install --upgrade wheel
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python -m pip install --upgrade pandas
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python -m pip install --upgrade datasets
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python -m pip install --upgrade evaluate
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python -m pip install --upgrade soundfile
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python -m pip install --upgrade librosa
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python -m pip install --upgrade jiwer
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# please uncomment it and comment the "Install IPEX-LLM from Pypi" part for PR tests
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- name: Download llm binary
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uses: ./.github/actions/llm/download-llm-binary
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- name: Run LLM install (all) test
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uses: ./.github/actions/llm/setup-llm-env
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with:
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extra-dependency: "xpu_2.1"
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# - name: Install IPEX-LLM from Pypi
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# shell: bash
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# run: |
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# pip install --pre --upgrade ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
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# - name: Test installed xpu version
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# shell: bash
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# run: |
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# source /opt/intel/oneapi/setvars.sh
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# bash python/llm/test/run-llm-install-tests.sh
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- name: Run whisper evaluation
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shell: bash
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run: |
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source /opt/intel/oneapi/setvars.sh
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export USE_XETLA=OFF
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV"
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MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/
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export LIBRISPEECH_DATASET_PATH=/mnt/disk1/datasets/librispeech
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cd python/llm/dev/benchmark/whisper
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python run_whisper.py --model_path ${MODEL_PATH} --data_type other --device xpu --load_in_low_bit ${{ matrix.precision }} --save_result
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- uses: actions/upload-artifact@v3
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with:
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name: whisper_results
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path:
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${{ github.workspace }}/python/llm/dev/benchmark/whisper/results/**
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llm-whisper-summary:
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if: ${{github.event_name == 'schedule' || github.event_name == 'pull_request'}}
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needs: [set-matrix, llm-whisper-evaluation]
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runs-on: ["self-hosted", "llm", "perf"]
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steps:
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- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
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- name: Set up Python 3.9
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uses: actions/setup-python@v4
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with:
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python-version: 3.9
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- name: Set output path
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shell: bash
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run: |
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DATE=$(date +%Y-%m-%d)
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OUTPUT_PATH="results_$DATE"
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echo "OUTPUT_PATH=$OUTPUT_PATH" >> $GITHUB_ENV
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NIGHTLY_FOLDER="/mnt/disk1/whisper_nightly_gpu"
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echo "NIGHTLY_FOLDER=$NIGHTLY_FOLDER" >> $GITHUB_ENV
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PR_FOLDER="/mnt/disk1/whisper_pr_gpu"
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echo "PR_FOLDER=$PR_FOLDER" >> $GITHUB_ENV
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- name: Download all results for nightly run
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if: github.event_name == 'schedule'
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uses: actions/download-artifact@v3
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with:
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name: whisper_results
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path: ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }}
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- name: Download all results for pr run
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if: github.event_name == 'pull_request'
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uses: actions/download-artifact@v3
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with:
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name: whisper_results
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path: ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }}
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- name: Summarize the results for nightly run
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if: github.event_name == 'schedule'
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shell: bash
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run: |
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cp -r /mnt/disk1/datasets/whisper_fp16_results/* /mnt/disk1/whisper_nightly_gpu/${{ env.OUTPUT_PATH }}
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pip install pandas==1.5.3
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python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_concat_csv.py -i ${{ env.NIGHTLY_FOLDER}}/${{ env.OUTPUT_PATH }} -o ${{ env.NIGHTLY_FOLDER}}
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python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_csv_to_html.py -f ${{ env.NIGHTLY_FOLDER}}
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- name: Summarize the results for pull request
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if: github.event_name == 'pull_request'
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shell: bash
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run: |
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cp -r /mnt/disk1/datasets/whisper_fp16_results/* /mnt/disk1/whisper_pr_gpu/${{ env.OUTPUT_PATH }}
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pip install pandas==1.5.3
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python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_concat_csv.py -i ${{ env.PR_FOLDER}}/${{ env.OUTPUT_PATH }} -o ${{ env.PR_FOLDER}}
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python ${{ github.workspace }}/python/llm/dev/benchmark/whisper/whisper_csv_to_html.py -f ${{ env.PR_FOLDER}} |