Refactor daily CI workflow (#30012)
* separate jobs * separate jobs * use channel name directly instead of ID * use channel name directly instead of ID * use channel name directly instead of ID --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
193
.github/workflows/self-scheduled.yml
vendored
193
.github/workflows/self-scheduled.yml
vendored
@@ -7,12 +7,14 @@ name: Self-hosted runner (scheduled)
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# `docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile`
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on:
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repository_dispatch:
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schedule:
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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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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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@@ -31,6 +33,7 @@ env:
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jobs:
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setup:
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if: ${{ inputs.job == 'run_tests_gpu' }}
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name: Setup
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strategy:
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matrix:
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@@ -71,6 +74,7 @@ jobs:
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nvidia-smi
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run_tests_gpu:
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if: ${{ inputs.job == 'run_tests_gpu' }}
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name: " "
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needs: setup
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strategy:
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@@ -85,58 +89,8 @@ jobs:
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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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if: ${{ inputs.job == 'run_pipelines_torch_gpu' }}
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name: PyTorch pipelines
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strategy:
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fail-fast: false
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@@ -146,7 +100,6 @@ jobs:
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container:
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image: huggingface/transformers-pytorch-gpu
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options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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needs: setup
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steps:
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- name: Update clone
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working-directory: /transformers
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@@ -187,6 +140,7 @@ jobs:
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path: /transformers/reports/${{ matrix.machine_type }}_tests_torch_pipeline_gpu
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run_pipelines_tf_gpu:
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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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@@ -196,7 +150,6 @@ jobs:
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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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@@ -237,14 +190,65 @@ jobs:
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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_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 }}_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_all_tests_torch_cuda_extensions_gpu:
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if: ${{ inputs.job == 'run_all_tests_torch_cuda_extensions_gpu' }}
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name: Torch CUDA extension tests
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strategy:
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fail-fast: false
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matrix:
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machine_type: [single-gpu, multi-gpu]
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runs-on: ['${{ 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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@@ -298,6 +302,7 @@ jobs:
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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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if: ${{ inputs.job == 'run_tests_quantization_torch_gpu' }}
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name: Quantization tests
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strategy:
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fail-fast: false
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@@ -307,7 +312,6 @@ jobs:
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container:
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image: huggingface/transformers-quantization-latest-gpu
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options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
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needs: setup
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steps:
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- name: Update clone
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working-directory: /transformers
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@@ -348,18 +352,11 @@ jobs:
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path: /transformers/reports/${{ matrix.machine_type }}_tests_quantization_torch_gpu
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run_extract_warnings:
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# Let's only do this for the job `run_tests_gpu` to simplify the (already complex) logic.
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if: ${{ always() && inputs.job == 'run_tests_gpu' }}
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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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needs: [setup, run_tests_gpu]
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steps:
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- name: Checkout transformers
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uses: actions/checkout@v3
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@@ -396,52 +393,24 @@ jobs:
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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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name: Slack Report
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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_pipelines_tf_gpu,
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run_examples_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
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env:
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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 }}
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CI_EVENT: scheduled
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CI_SHA: ${{ github.sha }}
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CI_WORKFLOW_REF: ${{ github.workflow_ref }}
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SETUP_STATUS: ${{ needs.setup.result }}
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# We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
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# `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
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run: |
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sudo apt-get install -y curl
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pip install slack_sdk
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pip show slack_sdk
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python utils/notification_service.py "${{ needs.setup.outputs.folder_slices }}"
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# 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
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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: prev_ci_results
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path: prev_ci_results
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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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secrets: inherit
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