name: Self-hosted runner (scheduled-amd)

# Note: For the AMD CI, we rely on a caller workflow and on the workflow_call event to trigger the
# CI in order to run it on both MI210 and MI250, without having to use matrix here which pushes
# us towards the limit of allowed jobs on GitHub Actions.
on:
  workflow_call:
    inputs:
      gpu_flavor:
        required: true
        type: string

env:
  HF_HOME: /mnt/cache
  TRANSFORMERS_IS_CI: yes
  OMP_NUM_THREADS: 8
  MKL_NUM_THREADS: 8
  RUN_SLOW: yes
  HF_HUB_READ_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
  SIGOPT_API_TOKEN: ${{ secrets.SIGOPT_API_TOKEN }}


# Important note: each job (run_tests_single_gpu, run_tests_multi_gpu, run_examples_gpu, run_pipelines_torch_gpu) requires all the previous jobs before running.
# This is done so that we avoid parallelizing the scheduled tests, to leave available
# runners for the push CI that is running on the same machine.
jobs:
  check_runner_status:
    name: Check Runner Status
    runs-on: ubuntu-22.04
    steps:
      - name: Checkout transformers
        uses: actions/checkout@v4
        with:
          fetch-depth: 2

      - name: Check Runner Status
        run: python utils/check_self_hosted_runner.py --target_runners hf-amd-mi210-ci-1gpu-1,hf-amd-mi250-ci-1gpu-1,hf-amd-mi300-ci-1gpu-1 --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: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    container:
      image: huggingface/transformers-pytorch-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    steps:
      - name: ROCM-SMI
        run: |
          rocm-smi
      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14
      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

  setup:
    name: Setup
    needs: check_runners
    strategy:
      matrix:
        machine_type: [single-gpu, multi-gpu]
    runs-on: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    container:
      image: huggingface/transformers-pytorch-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --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: ROCM-SMI
        run: |
          rocm-smi

      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14
      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

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

  run_models_gpu_single_gpu:
    name: Single GPU tests
    strategy:
      max-parallel: 1  # For now, not to parallelize. Can change later if it works well.
      fail-fast: false
      matrix:
        folders: ${{ fromJson(needs.setup.outputs.matrix) }}
        machine_type: [single-gpu]
    runs-on: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    container:
      image: huggingface/transformers-pytorch-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --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: ROCM-SMI
        run: |
          rocm-smi
      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14
      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

      - 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=${{ matrix.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports tests/${{ matrix.folders }} -m "not not_device_test"

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

      - name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_models_gpu_${{ env.matrix_folders }}_test_reports"
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: ${{ matrix.machine_type }}_run_models_gpu_${{ env.matrix_folders }}_test_reports
          path: /transformers/reports/${{ matrix.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports

  run_models_gpu_multi_gpu:
    name: Multi GPU tests
    strategy:
      max-parallel: 1
      fail-fast: false
      matrix:
        folders: ${{ fromJson(needs.setup.outputs.matrix) }}
        machine_type: [multi-gpu]
    runs-on: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    container:
      image: huggingface/transformers-pytorch-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --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: ROCM-SMI
        run: |
          rocm-smi
      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14
      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

      - 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=${{ matrix.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports tests/${{ matrix.folders }} -m "not not_device_test"

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

      - name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_models_gpu_${{ env.matrix_folders }}_test_reports"
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: ${{ matrix.machine_type }}_run_models_gpu_${{ env.matrix_folders }}_test_reports
          path: /transformers/reports/${{ matrix.machine_type }}_run_models_gpu_${{ matrix.folders }}_test_reports

  run_examples_gpu:
    name: Examples tests
    strategy:
      fail-fast: false
      matrix:
        machine_type: [single-gpu]
    runs-on: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    container:
      image: huggingface/transformers-pytorch-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    needs: setup
    steps:
      - 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: ROCM-SMI
        run: |
          rocm-smi
      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14
      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

      - 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 examples tests on GPU
        working-directory: /transformers
        run: |
          pip install -r examples/pytorch/_tests_requirements.txt
          python3 -m pytest -v --make-reports=${{ matrix.machine_type }}_run_examples_gpu_test_reports examples/pytorch -m "not not_device_test"

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

      - name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_examples_gpu_test_reports"
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: ${{ matrix.machine_type }}_run_examples_gpu_test_reports
          path: /transformers/reports/${{ matrix.machine_type }}_run_examples_gpu_test_reports

  run_pipelines_torch_gpu:
    name: PyTorch pipelines tests
    strategy:
      fail-fast: false
      matrix:
        machine_type: [single-gpu, multi-gpu]
    runs-on: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    container:
      image: huggingface/transformers-pytorch-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    needs: setup
    steps:
      - 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: ROCM-SMI
        run: |
          rocm-smi
      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14
      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

      - 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 pipeline tests on GPU
        working-directory: /transformers
        run: |
          python3 -m pytest -n 1 -v --dist=loadfile --make-reports=${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports tests/pipelines -m "not not_device_test"

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

      - name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports"
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: ${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports
          path: /transformers/reports/${{ matrix.machine_type }}_run_pipelines_torch_gpu_test_reports

  run_torch_cuda_extensions_gpu:
    name: Torch ROCm deepspeed tests
    strategy:
      fail-fast: false
      matrix:
        machine_type: [single-gpu, multi-gpu]

    runs-on: [self-hosted, amd-gpu, '${{ matrix.machine_type }}', '${{ inputs.gpu_flavor }}']
    needs: setup
    container:
      image: huggingface/transformers-pytorch-deepspeed-amd-gpu
      options: --device /dev/kfd --device /dev/dri --env ROCR_VISIBLE_DEVICES --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
    steps:
      - 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: ROCM-SMI
        run: |
          rocm-smi
      - name: ROCM-INFO
        run: |
          rocminfo  | grep "Agent" -A 14

      - name: Show ROCR environment
        run: |
          echo "ROCR: $ROCR_VISIBLE_DEVICES"

      - 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 }}_run_torch_cuda_extensions_gpu_test_reports tests/deepspeed tests/extended -m "not not_device_test"

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

      - name: "Test suite reports artifacts: ${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports"
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: ${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
          path: /transformers/reports/${{ matrix.machine_type }}_run_torch_cuda_extensions_gpu_test_reports

  run_extract_warnings:
    name: Extract warnings in CI artifacts
    runs-on: ubuntu-22.04
    if: always()
    needs: [
      check_runner_status,
      check_runners,
      setup,
      run_models_gpu_single_gpu,
      run_models_gpu_multi_gpu,
      run_examples_gpu,
      run_pipelines_torch_gpu,
      run_torch_cuda_extensions_gpu
    ]
    steps:
      - name: Checkout transformers
        uses: actions/checkout@v4
        with:
          fetch-depth: 2

      - name: Install transformers
        run: pip install transformers

      - name: Show installed libraries and their versions
        run: pip freeze

      - name: Create output directory
        run: mkdir warnings_in_ci

      - uses: actions/download-artifact@v4
        with:
          path: warnings_in_ci

      - name: Show artifacts
        run: echo "$(python3 -c 'import os; d = os.listdir(); print(d)')"
        working-directory: warnings_in_ci

      - name: Extract warnings in CI artifacts
        run: |
          python3 utils/extract_warnings.py --workflow_run_id ${{ github.run_id }} --output_dir warnings_in_ci --token ${{ secrets.ACCESS_REPO_INFO_TOKEN }} --from_gh
          echo "$(python3 -c 'import os; import json; fp = open("warnings_in_ci/selected_warnings.json"); d = json.load(fp); d = "\n".join(d) ;print(d)')"

      - name: Upload artifact
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: warnings_in_ci
          path: warnings_in_ci/selected_warnings.json

  send_results:
    name: Send results to webhook
    runs-on: ubuntu-22.04
    if: always()
    needs: [
      check_runner_status,
      check_runners,
      setup,
      run_models_gpu_single_gpu,
      run_models_gpu_multi_gpu,
      run_examples_gpu,
      run_pipelines_torch_gpu,
      run_torch_cuda_extensions_gpu,
      run_extract_warnings
    ]
    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@v4
      - uses: actions/download-artifact@v4
      - name: Send message to Slack
        env:
          CI_SLACK_BOT_TOKEN: ${{ secrets.CI_SLACK_BOT_TOKEN }}
          CI_SLACK_CHANNEL_ID_DAILY_AMD: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY_AMD }}
          CI_SLACK_CHANNEL_DUMMY_TESTS: ${{ secrets.CI_SLACK_CHANNEL_DUMMY_TESTS }}
          CI_SLACK_REPORT_CHANNEL_ID: ${{ secrets.CI_SLACK_CHANNEL_ID_DAILY_AMD }}
          ACCESS_REPO_INFO_TOKEN: ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
          CI_EVENT: Scheduled CI (AMD) - ${{ inputs.gpu_flavor }}
          CI_SHA: ${{ github.sha }}
          CI_WORKFLOW_REF: ${{ github.workflow_ref }}
          RUNNER_STATUS: ${{ needs.check_runner_status.result }}
          RUNNER_ENV_STATUS: ${{ needs.check_runners.result }}
          SETUP_STATUS: ${{ needs.setup.result }}
        # We pass `needs.setup.outputs.matrix` as the argument. A processing in `notification_service.py` to change
        # `models/bert` to `models_bert` is required, as the artifact names use `_` instead of `/`.
        run: |
          sudo apt-get install -y curl
          pip install slack_sdk
          pip show slack_sdk
          python utils/notification_service.py "${{ needs.setup.outputs.matrix }}"

      # Upload complete failure tables, as they might be big and only truncated versions could be sent to Slack.
      - name: Failure table artifacts
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: test_failure_tables
          path: test_failure_tables