update
This commit is contained in:
parent
38953a75c1
commit
f2a3358bbe
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@ -80,23 +80,4 @@ jobs:
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- name: Run all tests on GPU
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working-directory: /transformers
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run: python3 -m pytest -v --make-reports=${{ inputs.machine_type }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}
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- name: Failure short reports
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if: ${{ failure() }}
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continue-on-error: true
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run: cat /transformers/reports/${{ inputs.machine_type }}_tests_gpu_${{ matrix.folders }}/failures_short.txt
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- name: Run test
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shell: bash
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run: |
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mkdir -p /transformers/reports/${{ inputs.machine_type }}_tests_gpu_${{ matrix.folders }}
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echo "hello" > /transformers/reports/${{ inputs.machine_type }}_tests_gpu_${{ matrix.folders }}/hello.txt
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echo "${{ inputs.machine_type }}_tests_gpu_${{ matrix.folders }}"
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- name: "Test suite reports artifacts: ${{ inputs.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v3
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with:
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name: ${{ inputs.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports
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path: /transformers/reports/${{ inputs.machine_type }}_tests_gpu_${{ matrix.folders }}
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run: python3 -m pytest -v tests/models/vision_encoder_decoder/test_modeling_vision_encoder_decoder.py::NougatModelIntegrationTest::test_forward_pass
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@ -12,7 +12,7 @@ on:
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- cron: "17 2 * * *"
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push:
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branches:
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- run_scheduled_ci*
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- check_nougat
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env:
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HF_HOME: /mnt/cache
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@ -84,364 +84,3 @@ jobs:
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machine_type: ${{ matrix.machine_type }}
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slice_id: ${{ matrix.slice_id }}
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secrets: inherit
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run_examples_gpu:
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name: Examples directory
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu]
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runs-on: ['${{ 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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needs: setup
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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 }}_examples_gpu 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 }}_examples_gpu/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_examples_gpu"
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if: ${{ always() }}
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uses: actions/upload-artifact@v3
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with:
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name: ${{ matrix.machine_type }}_run_examples_gpu
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path: /transformers/reports/${{ matrix.machine_type }}_examples_gpu
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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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needs: setup
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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 }}_tests_torch_pipeline_gpu 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 }}_tests_torch_pipeline_gpu/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_torch_pipeline_gpu"
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if: ${{ always() }}
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uses: actions/upload-artifact@v3
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with:
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name: ${{ matrix.machine_type }}_run_tests_torch_pipeline_gpu
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path: /transformers/reports/${{ matrix.machine_type }}_tests_torch_pipeline_gpu
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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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needs: setup
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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 }}_tests_tf_pipeline_gpu 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 }}_tests_tf_pipeline_gpu/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_tf_pipeline_gpu"
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if: ${{ always() }}
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uses: actions/upload-artifact@v3
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with:
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name: ${{ matrix.machine_type }}_run_tests_tf_pipeline_gpu
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path: /transformers/reports/${{ matrix.machine_type }}_tests_tf_pipeline_gpu
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run_all_tests_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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needs: setup
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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 }}_tests_torch_cuda_extensions_gpu 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 }}_tests_torch_cuda_extensions_gpu/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports"
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if: ${{ always() }}
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uses: actions/upload-artifact@v3
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with:
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name: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports
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path: /workspace/transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu
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run_tests_quantization_torch_gpu:
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name: Quantization 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-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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needs: setup
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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 ${{ github.sha }}
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- name: Reinstall transformers in edit mode (remove the one installed during docker image build)
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working-directory: /transformers
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run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
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- name: NVIDIA-SMI
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run: |
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nvidia-smi
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- name: Environment
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working-directory: /transformers
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run: |
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python3 utils/print_env.py
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- name: Show installed libraries and their versions
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working-directory: /transformers
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run: pip freeze
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- name: Run quantization tests on GPU
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working-directory: /transformers
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run: |
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python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_tests_quantization_torch_gpu tests/quantization
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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 }}_tests_quantization_torch_gpu/failures_short.txt
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- name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_tests_quantization_torch_gpu"
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if: ${{ always() }}
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uses: actions/upload-artifact@v3
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with:
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name: ${{ matrix.machine_type }}_run_tests_quantization_torch_gpu
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path: /transformers/reports/${{ matrix.machine_type }}_tests_quantization_torch_gpu
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run_extract_warnings:
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name: Extract warnings in CI artifacts
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runs-on: ubuntu-22.04
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if: always()
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needs: [
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setup,
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run_tests_gpu,
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run_examples_gpu,
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run_pipelines_tf_gpu,
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run_pipelines_torch_gpu,
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run_all_tests_torch_cuda_extensions_gpu,
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run_tests_quantization_torch_gpu,
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]
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steps:
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- name: Checkout transformers
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uses: actions/checkout@v3
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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@v3
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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@v3
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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: Send results to webhook
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runs-on: ubuntu-22.04
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if: always()
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needs: [
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setup,
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run_tests_gpu,
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run_examples_gpu,
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run_pipelines_tf_gpu,
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run_pipelines_torch_gpu,
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run_all_tests_torch_cuda_extensions_gpu,
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run_tests_quantization_torch_gpu,
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run_extract_warnings
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]
|
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steps:
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- name: Preliminary job status
|
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shell: bash
|
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# For the meaning of these environment variables, see the job `Setup`
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run: |
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echo "Setup status: ${{ needs.setup.result }}"
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- uses: actions/checkout@v3
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||||
- uses: actions/download-artifact@v3
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||||
- name: Send message to Slack
|
||||
env:
|
||||
CI_SLACK_BOT_TOKEN: ${{ secrets.CI_SLACK_BOT_TOKEN }}
|
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CI_SLACK_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID }}
|
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CI_SLACK_CHANNEL_ID_DAILY: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
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CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
|
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CI_SLACK_REPORT_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
|
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ACCESS_REPO_INFO_TOKEN: ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
|
||||
CI_EVENT: scheduled
|
||||
CI_SHA: ${{ github.sha }}
|
||||
CI_WORKFLOW_REF: ${{ github.workflow_ref }}
|
||||
SETUP_STATUS: ${{ needs.setup.result }}
|
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# We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
|
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# `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
|
||||
run: |
|
||||
sudo apt-get install -y curl
|
||||
pip install slack_sdk
|
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pip show slack_sdk
|
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python utils/notification_service.py "${{ needs.setup.outputs.folder_slices }}"
|
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|
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# Upload complete failure tables, as they might be big and only truncated versions could be sent to Slack.
|
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- name: Failure table artifacts
|
||||
if: ${{ always() }}
|
||||
uses: actions/upload-artifact@v3
|
||||
with:
|
||||
name: prev_ci_results
|
||||
path: prev_ci_results
|
||||
|
|
|
@ -62,4 +62,5 @@ if __name__ == "__main__":
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start = end
|
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end = start + num_jobs_per_splits + (1 if idx < num_jobs % args.num_splits else 0)
|
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model_splits.append(d[start:end])
|
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model_splits = [["vision_encoder_decoder"]]
|
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print(model_splits)
|
||||
|
|
Loading…
Reference in New Issue