self-nightly-scheduled.yml

name: Self-hosted runner (nightly-ci)

# Note that each job's dependencies go into a corresponding docker file.
#
# For example for `run_all_tests_torch_cuda_extensions_gpu` the docker image is
# `huggingface/transformers-pytorch-deepspeed-latest-gpu`, which can be found at
# `docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile`

on:
  repository_dispatch:
  workflow_call:

env:
  HF_HOME: /mnt/cache
  TRANSFORMERS_IS_CI: yes
  OMP_NUM_THREADS: 8
  MKL_NUM_THREADS: 8
  RUN_SLOW: yes
  SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }}
  TF_FORCE_GPU_ALLOW_GROWTH: true
  RUN_PT_TF_CROSS_TESTS: 1

jobs:
  check_runner_status:
    name: Check Runner Status
    runs-on: ubuntu-latest
    steps:
      - name: Checkout transformers
        uses: actions/checkout@v3
        with:
          fetch-depth: 2

      - name: Check Runner Status
        run: python utils/check_self_hosted_runner.py --target_runners single-gpu-past-ci-runner-docker,multi-gpu-past-ci-runner-docker --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }}

  check_runners:
    name: Check Runners
    needs: check_runner_status
    strategy:
      matrix:
        machine_type: [single-gpu, multi-gpu]
    runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
    container:
      image: huggingface/transformers-all-latest-torch-nightly-gpu
      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    steps:
      - name: NVIDIA-SMI
        run: |
          nvidia-smi

  setup:
    name: Setup
    needs: check_runners
    strategy:
      matrix:
        machine_type: [single-gpu, multi-gpu]
    runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
    container:
      image: huggingface/transformers-all-latest-torch-nightly-gpu
      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    outputs:
      matrix: ${{ steps.set-matrix.outputs.matrix }}
    steps:
      - name: Update clone
        working-directory: /transformers
        run: |
          git fetch && git checkout ${{ github.sha }}

      - name: Cleanup
        working-directory: /transformers
        run: |
          rm -rf tests/__pycache__
          rm -rf tests/models/__pycache__
          rm -rf reports

      - name: Show installed libraries and their versions
        working-directory: /transformers
        run: pip freeze

      - id: set-matrix
        name: Identify models to test
        working-directory: /transformers/tests
        run: |
          echo "matrix=$(python3 -c 'import os; tests = os.getcwd(); model_tests = os.listdir(os.path.join(tests, "models")); d1 = sorted(list(filter(os.path.isdir, os.listdir(tests)))); d2 = sorted(list(filter(os.path.isdir, [f"models/{x}" for x in model_tests]))); d1.remove("models"); d = d2 + d1; print(d)')" >> $GITHUB_OUTPUT

      - name: NVIDIA-SMI
        run: |
          nvidia-smi

  run_tests_single_gpu:
    name: Model tests
    strategy:
      fail-fast: false
      matrix:
        folders: ${{ fromJson(needs.setup.outputs.matrix) }}
        machine_type: [single-gpu]
    runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
    container:
      image: huggingface/transformers-all-latest-torch-nightly-gpu
      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    needs: setup
    steps:
      - name: Echo folder ${{ matrix.folders }}
        shell: bash
        # For folders like `models/bert`, set an env. var. (`matrix_folders`) to `models_bert`, which will be used to
        # set the artifact folder names (because the character `/` is not allowed).
        run: |
          echo "${{ matrix.folders }}"
          matrix_folders=${{ matrix.folders }}
          matrix_folders=${matrix_folders/'models/'/'models_'}
          echo "$matrix_folders"
          echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV

      - name: Update clone
        working-directory: /transformers
        run: git fetch && git checkout ${{ github.sha }}

      - name: Reinstall transformers in edit mode (remove the one installed during docker image build)
        working-directory: /transformers
        run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .

      - name: NVIDIA-SMI
        run: |
          nvidia-smi

      - name: Environment
        working-directory: /transformers
        run: |
          python3 utils/print_env.py

      - name: Show installed libraries and their versions
        working-directory: /transformers
        run: pip freeze

      - name: Run all tests on GPU
        working-directory: /transformers
        run: python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}

      - name: Failure short reports
        if: ${{ failure() }}
        continue-on-error: true
        run: cat /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}/failures_short.txt

      - name: Test suite reports artifacts
        if: ${{ always() }}
        uses: actions/upload-artifact@v3
        with:
          name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports_postfix_nightly
          path: /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}

  run_tests_multi_gpu:
    name: Model tests
    strategy:
      fail-fast: false
      matrix:
        folders: ${{ fromJson(needs.setup.outputs.matrix) }}
        machine_type: [multi-gpu]
    runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
    container:
      image: huggingface/transformers-all-latest-torch-nightly-gpu
      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    needs: setup
    steps:
      - name: Echo folder ${{ matrix.folders }}
        shell: bash
        # For folders like `models/bert`, set an env. var. (`matrix_folders`) to `models_bert`, which will be used to
        # set the artifact folder names (because the character `/` is not allowed).
        run: |
          echo "${{ matrix.folders }}"
          matrix_folders=${{ matrix.folders }}
          matrix_folders=${matrix_folders/'models/'/'models_'}
          echo "$matrix_folders"
          echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV

      - name: Update clone
        working-directory: /transformers
        run: git fetch && git checkout ${{ github.sha }}

      - name: Reinstall transformers in edit mode (remove the one installed during docker image build)
        working-directory: /transformers
        run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .

      - name: NVIDIA-SMI
        run: |
          nvidia-smi

      - name: Environment
        working-directory: /transformers
        run: |
          python3 utils/print_env.py

      - name: Show installed libraries and their versions
        working-directory: /transformers
        run: pip freeze

      - name: Run all tests on GPU
        working-directory: /transformers
        run: python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }} tests/${{ matrix.folders }}

      - name: Failure short reports
        if: ${{ failure() }}
        continue-on-error: true
        run: cat /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}/failures_short.txt

      - name: Test suite reports artifacts
        if: ${{ always() }}
        uses: actions/upload-artifact@v3
        with:
          name: ${{ matrix.machine_type }}_run_all_tests_gpu_${{ env.matrix_folders }}_test_reports_postfix_nightly
          path: /transformers/reports/${{ matrix.machine_type }}_tests_gpu_${{ matrix.folders }}

  run_all_tests_torch_cuda_extensions_gpu:
    name: Torch CUDA extension tests
    strategy:
      fail-fast: false
      matrix:
        machine_type: [single-gpu, multi-gpu]
    runs-on: ${{ format('{0}-{1}', matrix.machine_type, 'docker-past-ci') }}
    needs: setup
    container:
      image: huggingface/transformers-pytorch-deepspeed-nightly-gpu
      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    steps:
      - name: Update clone
        working-directory: /workspace/transformers
        run: git fetch && git checkout ${{ github.sha }}

      - name: Reinstall transformers in edit mode (remove the one installed during docker image build)
        working-directory: /workspace/transformers
        run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .

      - name: Remove cached torch extensions
        run: rm -rf /github/home/.cache/torch_extensions/

      # To avoid unknown test failures
      - name: Pre build DeepSpeed *again*
        working-directory: /workspace
        run: |
          python3 -m pip uninstall -y deepspeed
          rm -rf DeepSpeed
          git clone https://github.com/microsoft/DeepSpeed && cd DeepSpeed && rm -rf build
          DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 DS_BUILD_UTILS=1 python3 -m pip install . --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check

      - name: NVIDIA-SMI
        run: |
          nvidia-smi

      - name: Environment
        working-directory: /workspace/transformers
        run: |
          python utils/print_env.py

      - name: Show installed libraries and their versions
        working-directory: /workspace/transformers
        run: pip freeze

      - name: Run all tests on GPU
        working-directory: /workspace/transformers
        run: |
          python -m pytest -v --make-reports=${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu tests/deepspeed tests/extended

      - name: Failure short reports
        if: ${{ failure() }}
        continue-on-error: true
        run: cat /workspace/transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu/failures_short.txt

      - name: Test suite reports artifacts
        if: ${{ always() }}
        uses: actions/upload-artifact@v3
        with:
          name: ${{ matrix.machine_type }}_run_tests_torch_cuda_extensions_gpu_test_reports_postfix_nightly
          path: /workspace/transformers/reports/${{ matrix.machine_type }}_tests_torch_cuda_extensions_gpu

  send_results:
    name: Send results to webhook
    runs-on: ubuntu-latest
    if: always()
    needs: [
      check_runner_status,
      check_runners,
      setup,
      run_tests_single_gpu,
      run_tests_multi_gpu,
      run_all_tests_torch_cuda_extensions_gpu
    ]
    steps:
      - name: Preliminary job status
        shell: bash
        # For the meaning of these environment variables, see the job `Setup`
        run: |
          echo "Runner availability: ${{ needs.check_runner_status.result }}"
          echo "Runner status: ${{ needs.check_runners.result }}"
          echo "Setup status: ${{ needs.setup.result }}"

      - uses: actions/checkout@v3
      - uses: actions/download-artifact@v3
      - name: Send message to Slack
        env:
          CI_SLACK_BOT_TOKEN: ${{ secrets.CI_SLACK_BOT_TOKEN }}
          CI_SLACK_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID }}
          CI_SLACK_CHANNEL_ID_DAILY: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY }}
          CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
          CI_SLACK_REPORT_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID_PAST_FUTURE }}
          ACCESS_REPO_INFO_TOKEN: ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
          CI_EVENT: Nightly CI
          RUNNER_STATUS: ${{ needs.check_runner_status.result }}
          RUNNER_ENV_STATUS: ${{ needs.check_runners.result }}
          SETUP_STATUS: ${{ needs.setup.result }}
        # We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
        # `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
        run: |
          pip install slack_sdk
          pip show slack_sdk
          python utils/notification_service.py "${{ needs.setup.outputs.matrix }}"


      # delete-artifact
      - uses: geekyeggo/delete-artifact@v2
        with:
          name: |
              single-*
              multi-*