# What does this PR do?

This PR creates the precedent of deprecating models in the library. By deprecating we indicate that we will stop maintaining such models, but there is no intention of actually removing those models and breaking support for them (they might one day move into a separate repo/on the Hub but we would still add the necessary imports to make sure backward compatibility stays). The main point is that we stop testing those models (to ease a bit the burden on our CI).

Deprecated models are moved in models/deprecated so direct import of objects from their modeling files will break (though that's easily fixed by adding the `.deprecated` in the path). They are removed from the `tests` folder and a mention is added in the doc page of the model.

The heuristic to pick the deprecated models in this PR is: models older than a year that got less than a cumulated 1,000 downloads (over all checkpoints) in the last 30 days (counting deduplicated downloads).
Deprecate models. # What does this PR do?

This PR creates the precedent of deprecating models in the library. By deprecating we indicate that we will stop maintaining such models, but there is no intention of actually removing those models and breaking support for them (they might one day move into a separate repo/on the Hub but we would still add the necessary imports to make sure backward compatibility stays). The main point is that we stop testing those models (to ease a bit the burden on our CI).

Deprecated models are moved in models/deprecated so direct import of objects from their modeling files will break (though that's easily fixed by adding the `.deprecated` in the path). They are removed from the `tests` folder and a mention is added in the doc page of the model.

The heuristic to pick the deprecated models in this PR is: models older than a year that got less than a cumulated 1,000 downloads (over all checkpoints) in the last 30 days (counting deduplicated downloads).
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-*
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-*