439 lines
16 KiB
YAML
439 lines
16 KiB
YAML
name: Self-hosted runner (scheduled)
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# Note that each job's dependencies go into a corresponding docker file.
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#
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# For example for `run_torch_cuda_extensions_gpu` the docker image is
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# `huggingface/transformers-pytorch-deepspeed-latest-gpu`, which can be found at
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# `docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile`
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on:
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workflow_call:
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inputs:
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job:
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required: true
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type: string
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slack_report_channel:
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required: true
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type: string
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env:
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HF_HOME: /mnt/cache
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TRANSFORMERS_IS_CI: yes
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OMP_NUM_THREADS: 8
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MKL_NUM_THREADS: 8
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RUN_SLOW: yes
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# For gated repositories, we still need to agree to share information on the Hub repo. page in order to get access.
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# This token is created under the bot `hf-transformers-bot`.
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HF_HUB_READ_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
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SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }}
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TF_FORCE_GPU_ALLOW_GROWTH: true
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RUN_PT_TF_CROSS_TESTS: 1
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CUDA_VISIBLE_DEVICES: 0,1
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NUM_SLICES: 2
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jobs:
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setup:
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if: contains(fromJSON('["run_models_gpu", "run_quantization_torch_gpu"]'), inputs.job)
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name: Setup
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strategy:
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
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container:
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image: huggingface/transformers-all-latest-gpu
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options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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outputs:
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folder_slices: ${{ steps.set-matrix.outputs.folder_slices }}
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slice_ids: ${{ steps.set-matrix.outputs.slice_ids }}
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quantization_matrix: ${{ steps.set-matrix-quantization.outputs.quantization_matrix }}
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steps:
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- name: Update clone
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working-directory: /transformers
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run: |
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git fetch && git checkout ${{ github.sha }}
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- name: Cleanup
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working-directory: /transformers
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run: |
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rm -rf tests/__pycache__
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rm -rf tests/models/__pycache__
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rm -rf reports
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- id: set-matrix
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if: ${{ inputs.job == 'run_models_gpu' }}
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name: Identify models to test
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working-directory: /transformers/tests
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run: |
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echo "folder_slices=$(python3 ../utils/split_model_tests.py --num_splits ${{ env.NUM_SLICES }})" >> $GITHUB_OUTPUT
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echo "slice_ids=$(python3 -c 'd = list(range(${{ env.NUM_SLICES }})); print(d)')" >> $GITHUB_OUTPUT
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- id: set-matrix-quantization
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if: ${{ inputs.job == 'run_quantization_torch_gpu' }}
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name: Identify quantization method to test
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working-directory: /transformers/tests
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run: |
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echo "quantization_matrix=$(python3 -c 'import os; tests = os.getcwd(); quantization_tests = os.listdir(os.path.join(tests, "quantization")); d = sorted(list(filter(os.path.isdir, [f"quantization/{x}" for x in quantization_tests]))) ; print(d)')" >> $GITHUB_OUTPUT
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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run_models_gpu:
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if: ${{ inputs.job == 'run_models_gpu' }}
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name: " "
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needs: setup
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu, multi-gpu]
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slice_id: ${{ fromJSON(needs.setup.outputs.slice_ids) }}
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uses: ./.github/workflows/model_jobs.yml
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with:
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folder_slices: ${{ needs.setup.outputs.folder_slices }}
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machine_type: ${{ matrix.machine_type }}
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slice_id: ${{ matrix.slice_id }}
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secrets: inherit
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run_pipelines_torch_gpu:
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if: ${{ inputs.job == 'run_pipelines_torch_gpu' }}
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name: PyTorch pipelines
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
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container:
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image: huggingface/transformers-pytorch-gpu
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options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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steps:
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- name: Update clone
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working-directory: /transformers
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run: git fetch && git checkout ${{ github.sha }}
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- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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working-directory: /transformers
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run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Environment
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working-directory: /transformers
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run: |
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python3 utils/print_env.py
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- name: Run all pipeline tests on GPU
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working-directory: /transformers
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run: |
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python3 -m pytest -n 1 -v --dist=loadfile --make-reports=${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports tests/pipelines
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- name: Failure short reports
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if: ${{ failure() }}
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continue-on-error: true
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run: cat /transformers/reports/${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: ${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports
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path: /transformers/reports/${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports
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run_pipelines_tf_gpu:
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if: ${{ inputs.job == 'run_pipelines_tf_gpu' }}
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name: TensorFlow pipelines
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
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container:
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image: huggingface/transformers-tensorflow-gpu
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options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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steps:
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- name: Update clone
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working-directory: /transformers
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run: |
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git fetch && git checkout ${{ github.sha }}
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- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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working-directory: /transformers
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run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Environment
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working-directory: /transformers
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run: |
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python3 utils/print_env.py
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- name: Run all pipeline tests on GPU
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working-directory: /transformers
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run: |
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python3 -m pytest -n 1 -v --dist=loadfile --make-reports=${{ matrix.machine_type }}_run_pipelines_tf_gpu_test_reports tests/pipelines
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- name: Failure short reports
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if: ${{ always() }}
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run: |
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cat /transformers/reports/${{ matrix.machine_type }}_run_pipelines_tf_gpu_test_reports/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_pipelines_tf_gpu_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: ${{ matrix.machine_type }}_run_pipelines_tf_gpu_test_reports
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path: /transformers/reports/${{ matrix.machine_type }}_run_pipelines_tf_gpu_test_reports
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run_examples_gpu:
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if: ${{ inputs.job == 'run_examples_gpu' }}
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name: Examples directory
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu]
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runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
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container:
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image: huggingface/transformers-all-latest-gpu
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options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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steps:
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- name: Update clone
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working-directory: /transformers
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run: git fetch && git checkout ${{ github.sha }}
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- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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working-directory: /transformers
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run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Environment
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working-directory: /transformers
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run: |
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python3 utils/print_env.py
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- name: Run examples tests on GPU
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working-directory: /transformers
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run: |
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pip install -r examples/pytorch/_tests_requirements.txt
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python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_run_examples_gpu_test_reports examples/pytorch
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- name: Failure short reports
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if: ${{ failure() }}
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continue-on-error: true
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run: cat /transformers/reports/${{ matrix.machine_type }}_run_examples_gpu_test_reports/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_examples_gpu_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: ${{ matrix.machine_type }}_run_examples_gpu_test_reports
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path: /transformers/reports/${{ matrix.machine_type }}_run_examples_gpu_test_reports
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run_torch_cuda_extensions_gpu:
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if: ${{ inputs.job == 'run_torch_cuda_extensions_gpu' }}
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name: Torch CUDA extension tests
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
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container:
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image: huggingface/transformers-pytorch-deepspeed-latest-gpu
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options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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steps:
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- name: Update clone
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working-directory: /workspace/transformers
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run: git fetch && git checkout ${{ github.sha }}
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- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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working-directory: /workspace/transformers
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run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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- name: Remove cached torch extensions
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run: rm -rf /github/home/.cache/torch_extensions/
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# To avoid unknown test failures
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- name: Pre build DeepSpeed *again*
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working-directory: /workspace
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run: |
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python3 -m pip uninstall -y deepspeed
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DS_DISABLE_NINJA=1 DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 python3 -m pip install deepspeed --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Environment
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working-directory: /workspace/transformers
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run: |
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python utils/print_env.py
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- name: Show installed libraries and their versions
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working-directory: /workspace/transformers
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run: pip freeze
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- name: Run all tests on GPU
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working-directory: /workspace/transformers
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run: |
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python -m pytest -v --make-reports=${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports tests/deepspeed tests/extended
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- name: Failure short reports
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if: ${{ failure() }}
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continue-on-error: true
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run: cat /workspace/transformers/reports/${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: ${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
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path: /workspace/transformers/reports/${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
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run_quantization_torch_gpu:
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if: ${{ inputs.job == 'run_quantization_torch_gpu' }}
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name: " "
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needs: setup
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strategy:
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fail-fast: false
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matrix:
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folders: ${{ fromJson(needs.setup.outputs.quantization_matrix) }}
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ matrix.machine_type }}', nvidia-gpu, t4, daily-ci]
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container:
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image: huggingface/transformers-quantization-latest-gpu
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options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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steps:
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- name: Echo folder ${{ matrix.folders }}
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shell: bash
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run: |
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echo "${{ matrix.folders }}"
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matrix_folders=${{ matrix.folders }}
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matrix_folders=${matrix_folders/'quantization/'/'quantization_'}
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echo "$matrix_folders"
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echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
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- name: Update clone
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working-directory: /transformers
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run: git fetch && git checkout ${{ github.sha }}
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- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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working-directory: /transformers
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run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Environment
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working-directory: /transformers
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run: |
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python3 utils/print_env.py
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- name: Run quantization tests on GPU
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working-directory: /transformers
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run: |
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python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_run_quantization_torch_gpu_${{ matrix.folders }}_test_reports tests/${{ matrix.folders }}
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- name: Failure short reports
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if: ${{ failure() }}
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continue-on-error: true
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run: cat /transformers/reports/${{ matrix.machine_type }}_run_quantization_torch_gpu_${{ matrix.folders }}_test_reports/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_quantization_torch_gpu_${{ env.matrix_folders }}_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: ${{ matrix.machine_type }}_run_quantization_torch_gpu_${{ env.matrix_folders }}_test_reports
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path: /transformers/reports/${{ matrix.machine_type }}_run_quantization_torch_gpu_${{ matrix.folders }}_test_reports
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run_extract_warnings:
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# Let's only do this for the job `run_models_gpu` to simplify the (already complex) logic.
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if: ${{ always() && inputs.job == 'run_models_gpu' }}
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name: Extract warnings in CI artifacts
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runs-on: ubuntu-22.04
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needs: [setup, run_models_gpu]
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steps:
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- name: Checkout transformers
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uses: actions/checkout@v4
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with:
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fetch-depth: 2
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- name: Install transformers
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run: pip install transformers
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- name: Show installed libraries and their versions
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run: pip freeze
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- name: Create output directory
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run: mkdir warnings_in_ci
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- uses: actions/download-artifact@v4
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with:
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path: warnings_in_ci
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- name: Show artifacts
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run: echo "$(python3 -c 'import os; d = os.listdir(); print(d)')"
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working-directory: warnings_in_ci
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- name: Extract warnings in CI artifacts
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run: |
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python3 utils/extract_warnings.py --workflow_run_id ${{ github.run_id }} --output_dir warnings_in_ci --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }} --from_gh
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echo "$(python3 -c 'import os; import json; fp = open("warnings_in_ci/selected_warnings.json"); d = json.load(fp); d = "\n".join(d) ;print(d)')"
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- name: Upload artifact
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if: ${{ always() }}
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uses: actions/upload-artifact@v4
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with:
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name: warnings_in_ci
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path: warnings_in_ci/selected_warnings.json
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send_results:
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name: Slack Report
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needs: [
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setup,
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run_models_gpu,
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run_pipelines_torch_gpu,
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run_pipelines_tf_gpu,
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run_examples_gpu,
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run_torch_cuda_extensions_gpu,
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run_quantization_torch_gpu,
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run_extract_warnings
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]
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if: ${{ always() }}
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uses: ./.github/workflows/slack-report.yml
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with:
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job: ${{ inputs.job }}
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# This would be `skipped` if `setup` is skipped.
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setup_status: ${{ needs.setup.result }}
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slack_report_channel: ${{ inputs.slack_report_channel }}
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# This would be an empty string if `setup` is skipped.
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folder_slices: ${{ needs.setup.outputs.folder_slices }}
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quantization_matrix: ${{ needs.setup.outputs.quantization_matrix }}
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secrets: inherit
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