first commit

.github/workflows/self-scheduled.yml

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+name: Nvidia CI (job definitions)
+
+# Note that each job's dependencies go into a corresponding docker file.
+#
+# For example for `run_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:
+  workflow_call:
+    inputs:
+      job:
+        required: true
+        type: string
+      slack_report_channel:
+        required: true
+        type: string
+      docker:
+        required: true
+        type: string
+      ci_event:
+        required: true
+        type: string
+      working-directory-prefix:
+        default: ''
+        required: false
+        type: string
+      report_repo_id:
+        required: true
+        type: string
+      commit_sha:
+        required: false
+        type: string
+      runner_type:
+        required: false
+        type: string
+      subdirs:
+        default: ""
+        required: false
+        type: string
+      pytest_marker:
+        required: false
+        type: string
+      pr_number:
+        required: false
+        type: string
+    outputs:
+      is_infrastructure_ok:
+        description: "Whether the CI infrastructure (slack reporting and failure checking) succeeded"
+        value: ${{ jobs.send_results.outputs.is_slack_reporting_job_ok == 'true' && jobs.check_new_failures.outputs.is_check_failures_ok == 'true' }}
+
+
+env:
+  HF_HOME: /mnt/cache
+  TRANSFORMERS_IS_CI: yes
+  OMP_NUM_THREADS: 8
+  MKL_NUM_THREADS: 8
+  RUN_SLOW: yes
+  # For gated repositories, we still need to agree to share information on the Hub repo. page in order to get access.
+  # This token is created under the bot `hf-transformers-bot`.
+  HF_TOKEN: ${{ secrets.HF_HUB_READ_TOKEN }}
+  TF_FORCE_GPU_ALLOW_GROWTH: true
+  CUDA_VISIBLE_DEVICES: 0,1
+
+permissions:
+  contents: read
+
+jobs:
+  setup:
+    name: Setup
+    if: contains(fromJSON('["run_models_gpu", "run_trainer_and_fsdp_gpu", "run_quantization_torch_gpu"]'), inputs.job)
+    strategy:
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache, aws-g5-12xlarge-cache]
+    runs-on:
+      group: '${{ matrix.machine_type }}'
+    container:
+      image: huggingface/transformers-all-latest-gpu
+      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+    outputs:
+      folder_slices: ${{ steps.set-matrix.outputs.folder_slices }}
+      slice_ids: ${{ steps.set-matrix.outputs.slice_ids }}
+      quantization_matrix: ${{ steps.set-matrix-quantization.outputs.quantization_matrix }}
+    steps:
+      - name: Update clone
+        working-directory: /transformers
+        env:
+          commit_sha: ${{ inputs.commit_sha || github.sha }}
+        run: |
+          git fetch origin $commit_sha
+          git fetch && git checkout $commit_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
+        if: contains(fromJSON('["run_models_gpu", "run_trainer_and_fsdp_gpu"]'), inputs.job)
+        name: Identify models to test
+        working-directory: /transformers/tests
+        env:
+          job: ${{ inputs.job }}
+          subdirs: ${{ inputs.subdirs }}
+          NUM_SLICES: 2
+        run: |
+          if [ "$job" = "run_models_gpu" ]; then
+            python3 ../utils/split_model_tests.py --subdirs "$subdirs" --num_splits "$NUM_SLICES" > folder_slices.txt
+            echo "folder_slices=$(cat folder_slices.txt)" >> $GITHUB_OUTPUT
+            python3 -c "import ast; folder_slices = ast.literal_eval(open('folder_slices.txt').read()); open('slice_ids.txt', 'w').write(str(list(range(len(folder_slices)))))"
+            echo "slice_ids=$(cat slice_ids.txt)" >> $GITHUB_OUTPUT
+          elif [ "$job" = "run_trainer_and_fsdp_gpu" ]; then
+            echo "folder_slices=[['trainer'], ['fsdp'], ['ddp']]" >> $GITHUB_OUTPUT
+            echo "slice_ids=[0, 1, 2]" >> $GITHUB_OUTPUT
+          fi
+
+      - id: set-matrix-quantization
+        if: ${{ inputs.job == 'run_quantization_torch_gpu' }}
+        name: Identify quantization method to test
+        working-directory: /transformers/tests
+        env:
+          subdirs: ${{ inputs.subdirs || 'None' }}
+        run: |
+          echo "quantization_matrix=$(python3 -c 'import ast; import os; tests = os.getcwd(); quantization_tests = os.listdir(os.path.join(tests, "quantization")); subdirs = ast.literal_eval(os.environ["subdirs"]); quantization_tests = [x.removeprefix("quantization/") for x in subdirs] if subdirs is not None else quantization_tests; d = sorted(list(filter(os.path.isdir, [f"quantization/{x}" for x in quantization_tests]))); print(d)')" >> $GITHUB_OUTPUT
+
+      - name: NVIDIA-SMI
+        run: |
+          nvidia-smi
+
+  run_models_gpu:
+    if: ${{ inputs.job == 'run_models_gpu' }}
+    name: " "
+    needs: setup
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache, aws-g5-12xlarge-cache]
+        slice_id: ${{ fromJSON(needs.setup.outputs.slice_ids) }}
+    uses: ./.github/workflows/model_jobs.yml
+    with:
+      folder_slices: ${{ needs.setup.outputs.folder_slices }}
+      machine_type: ${{ matrix.machine_type }}
+      slice_id: ${{ matrix.slice_id }}
+      docker: ${{ inputs.docker }}
+      commit_sha: ${{ inputs.commit_sha || github.sha }}
+      runner_type: ${{ inputs.runner_type }}
+      report_repo_id: ${{ inputs.report_repo_id }}
+      pytest_marker: ${{ inputs.pytest_marker }}
+    secrets: inherit
+
+  run_trainer_and_fsdp_gpu:
+    if: ${{ inputs.job == 'run_trainer_and_fsdp_gpu' }}
+    name: " "
+    needs: setup
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache, aws-g5-12xlarge-cache]
+        slice_id: [0, 1, 2]
+    uses: ./.github/workflows/model_jobs.yml
+    with:
+      folder_slices: ${{ needs.setup.outputs.folder_slices }}
+      machine_type: ${{ matrix.machine_type }}
+      slice_id: ${{ matrix.slice_id }}
+      docker: ${{ inputs.docker }}
+      commit_sha: ${{ inputs.commit_sha || github.sha }}
+      runner_type: ${{ inputs.runner_type }}
+      report_repo_id: ${{ inputs.report_repo_id }}
+      report_name_prefix: run_trainer_and_fsdp_gpu
+    secrets: inherit
+
+  run_pipelines_torch_gpu:
+    if: ${{ inputs.job == 'run_pipelines_torch_gpu' }}
+    name: PyTorch pipelines
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache, aws-g5-12xlarge-cache]
+    runs-on:
+      group: '${{ matrix.machine_type }}'
+    container:
+      image: huggingface/transformers-all-latest-gpu
+      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+    steps:
+      - name: Update clone
+        working-directory: /transformers
+        env:
+          commit_sha: ${{ inputs.commit_sha || github.sha }}
+        run: git fetch && git checkout "$commit_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: Set `machine_type` for report and artifact names
+        working-directory: /transformers
+        shell: bash
+        env:
+          matrix_machine_type: ${{ matrix.machine_type }}
+        run: |
+          echo "$matrix_machine_type"
+
+          if [ "$matrix_machine_type" = "aws-g5-4xlarge-cache" ]; then
+            machine_type=single-gpu
+          elif [ "$matrix_machine_type" = "aws-g5-12xlarge-cache" ]; then
+            machine_type=multi-gpu
+          else
+            machine_type="$matrix_machine_type"
+          fi
+
+          echo "$machine_type"
+          echo "machine_type=$machine_type" >> $GITHUB_ENV
+
+      - name: Run all pipeline tests on GPU
+        working-directory: /transformers
+        run: |
+          python3 -m pytest -n 1 -v --dist=loadfile --make-reports="${machine_type}_run_pipelines_torch_gpu_test_reports" tests/pipelines
+
+      - name: Failure short reports
+        if: ${{ failure() }}
+        continue-on-error: true
+        run: cat "/transformers/reports/${machine_type}_run_pipelines_torch_gpu_test_reports/failures_short.txt"
+
+      - name: "Test suite reports artifacts: ${{ env.machine_type }}_run_pipelines_torch_gpu_test_reports"
+        if: ${{ always() }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: ${{ env.machine_type }}_run_pipelines_torch_gpu_test_reports
+          path: /transformers/reports/${{ env.machine_type }}_run_pipelines_torch_gpu_test_reports
+
+  run_examples_gpu:
+    if: ${{ inputs.job == 'run_examples_gpu' }}
+    name: Examples directory
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache]
+    runs-on:
+      group: '${{ matrix.machine_type }}'
+    container:
+      image: huggingface/transformers-all-latest-gpu
+      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+    steps:
+      - name: Update clone
+        working-directory: /transformers
+        env:
+          commit_sha: ${{ inputs.commit_sha || github.sha }}
+        run: git fetch && git checkout "$commit_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: Set `machine_type` for report and artifact names
+        working-directory: /transformers
+        shell: bash
+        env:
+          matrix_machine_type: ${{ matrix.machine_type }}
+        run: |
+          echo "$matrix_machine_type"
+
+          if [ "$matrix_machine_type" = "aws-g5-4xlarge-cache" ]; then
+            machine_type=single-gpu
+          elif [ "$matrix_machine_type" = "aws-g5-12xlarge-cache" ]; then
+            machine_type=multi-gpu
+          else
+            machine_type="$matrix_machine_type"
+          fi
+
+          echo "$machine_type"
+          echo "machine_type=$machine_type" >> $GITHUB_ENV
+
+      - name: Run examples tests on GPU
+        working-directory: /transformers
+        run: |
+          pip install -r examples/pytorch/_tests_requirements.txt
+          python3 -m pytest -v --make-reports="${machine_type}_run_examples_gpu_test_reports" examples/pytorch
+
+      - name: Failure short reports
+        if: ${{ failure() }}
+        continue-on-error: true
+        run: cat "/transformers/reports/${machine_type}_run_examples_gpu_test_reports/failures_short.txt"
+
+      - name: "Test suite reports artifacts: ${{ env.machine_type }}_run_examples_gpu_test_reports"
+        if: ${{ always() }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: ${{ env.machine_type }}_run_examples_gpu_test_reports
+          path: /transformers/reports/${{ env.machine_type }}_run_examples_gpu_test_reports
+
+  run_torch_cuda_extensions_gpu:
+    if: ${{ inputs.job == 'run_torch_cuda_extensions_gpu' }}
+    name: Torch CUDA extension tests
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache, aws-g5-12xlarge-cache]
+    runs-on:
+      group: '${{ matrix.machine_type }}'
+    container:
+      image: ${{ inputs.docker }}
+      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+    steps:
+      - name: Update clone
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        env:
+          commit_sha: ${{ inputs.commit_sha || github.sha }}
+        run: git fetch && git checkout "$commit_sha"
+
+      - name: Reinstall transformers in edit mode (remove the one installed during docker image build)
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .
+
+      - name: Update / Install some packages (for Past CI)
+        if: ${{ contains(inputs.docker, '-past-') && contains(inputs.docker, '-pytorch-') }}
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        run: |
+          python3 -m pip install -U datasets
+          python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
+
+      - name: Remove cached torch extensions
+        run: rm -rf /github/home/.cache/torch_extensions/
+
+      # To avoid unknown test failures
+      - name: Pre build DeepSpeed *again* (for daily CI)
+        if: ${{ contains(inputs.ci_event, 'Daily CI') }}
+        working-directory: ${{ inputs.working-directory-prefix }}/
+        run: |
+          python3 -m pip uninstall -y deepspeed
+          DS_DISABLE_NINJA=1 DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 python3 -m pip install deepspeed --no-build-isolation --config-settings="--build-option=build_ext" --config-settings="--build-option=-j8" --no-cache -v --disable-pip-version-check
+
+      # To avoid unknown test failures
+      - name: Pre build DeepSpeed *again* (for nightly & Past CI)
+        if: ${{ contains(inputs.ci_event, 'Nightly CI') || contains(inputs.ci_event, 'Past CI') }}
+        working-directory: ${{ inputs.working-directory-prefix }}/
+        run: |
+          python3 -m pip uninstall -y deepspeed
+          rm -rf DeepSpeed
+          git clone https://github.com/deepspeedai/DeepSpeed && cd DeepSpeed && rm -rf build
+          DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 python3 -m pip install . --no-build-isolation --config-settings="--build-option=build_ext" --config-settings="--build-option=-j8" --no-cache -v --disable-pip-version-check
+
+      - name: NVIDIA-SMI
+        run: |
+          nvidia-smi
+
+      - name: Environment
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        run: |
+          python3 utils/print_env.py
+
+      - name: Show installed libraries and their versions
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        run: pip freeze
+
+      - name: Set `machine_type` for report and artifact names
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        shell: bash
+        env:
+          matrix_machine_type: ${{ matrix.machine_type }}
+        run: |
+          echo "$matrix_machine_type"
+
+          if [ "$matrix_machine_type" = "aws-g5-4xlarge-cache" ]; then
+            machine_type=single-gpu
+          elif [ "$matrix_machine_type" = "aws-g5-12xlarge-cache" ]; then
+            machine_type=multi-gpu
+          else
+            machine_type="$matrix_machine_type"
+          fi
+
+          echo "$machine_type"
+          echo "machine_type=$machine_type" >> $GITHUB_ENV
+
+      - name: Run all tests on GPU
+        working-directory: ${{ inputs.working-directory-prefix }}/transformers
+        run: |
+          script -q -c "python3 -m pytest -v -rsfE --make-reports=${machine_type}_run_torch_cuda_extensions_gpu_test_reports tests/trainer/distributed/test_trainer_distributed_deepspeed.py" test_outputs.txt
+
+      - name: Failure short reports
+        if: ${{ failure() }}
+        continue-on-error: true
+        env:
+          working_directory_prefix: ${{ inputs.working-directory-prefix }}
+        run: cat "${working_directory_prefix}/transformers/reports/${machine_type}_run_torch_cuda_extensions_gpu_test_reports/failures_short.txt"
+
+      - name: "Test suite reports artifacts: ${{ env.machine_type }}_run_torch_cuda_extensions_gpu_test_reports"
+        if: ${{ always() }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: ${{ env.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
+          path: ${{ inputs.working-directory-prefix }}/transformers/reports/${{ env.machine_type }}_run_torch_cuda_extensions_gpu_test_reports
+
+  run_quantization_torch_gpu:
+    if: ${{ inputs.job == 'run_quantization_torch_gpu' }}
+    name: " "
+    needs: setup
+    strategy:
+      max-parallel: 4
+      fail-fast: false
+      matrix:
+        folders: ${{ fromJson(needs.setup.outputs.quantization_matrix) }}
+        machine_type: [aws-g5-4xlarge-cache, aws-g5-12xlarge-cache]
+    runs-on:
+      group: '${{ matrix.machine_type }}'
+    container:
+      image: huggingface/transformers-quantization-latest-gpu
+      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+    steps:
+      - name: Echo folder ${{ matrix.folders }}
+        shell: bash
+        env:
+          matrix_folders_raw: ${{ matrix.folders }}
+        run: |
+          echo "$matrix_folders_raw"
+          matrix_folders="${matrix_folders_raw/'quantization/'/'quantization_'}"
+          echo "$matrix_folders"
+          echo "matrix_folders=$matrix_folders" >> $GITHUB_ENV
+
+      - name: Update clone
+        working-directory: /transformers
+        env:
+          commit_sha: ${{ inputs.commit_sha || github.sha }}
+        run: git fetch origin "$commit_sha" && git checkout "$commit_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: Set `machine_type` for report and artifact names
+        working-directory: /transformers
+        shell: bash
+        env:
+          matrix_machine_type: ${{ matrix.machine_type }}
+        run: |
+          echo "$matrix_machine_type"
+
+          if [ "$matrix_machine_type" = "aws-g5-4xlarge-cache" ]; then
+            machine_type=single-gpu
+          elif [ "$matrix_machine_type" = "aws-g5-12xlarge-cache" ]; then
+            machine_type=multi-gpu
+          else
+            machine_type="$matrix_machine_type"
+          fi
+
+          echo "$machine_type"
+          echo "machine_type=$machine_type" >> $GITHUB_ENV
+
+      - name: Run quantization tests on GPU
+        working-directory: /transformers
+        env:
+          folders: ${{ matrix.folders }}
+        run: |
+          python3 -m pytest -v --make-reports="${machine_type}_run_quantization_torch_gpu_${matrix_folders}_test_reports" tests/${folders}
+
+      - name: Failure short reports
+        if: ${{ failure() }}
+        continue-on-error: true
+        run: cat "/transformers/reports/${machine_type}_run_quantization_torch_gpu_${matrix_folders}_test_reports/failures_short.txt"
+
+      - name: "Test suite reports artifacts: ${{ env.machine_type }}_run_quantization_torch_gpu_${{ env.matrix_folders }}_test_reports"
+        if: ${{ always() }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: ${{ env.machine_type }}_run_quantization_torch_gpu_${{ env.matrix_folders }}_test_reports
+          path: /transformers/reports/${{ env.machine_type }}_run_quantization_torch_gpu_${{ env.matrix_folders }}_test_reports
+
+  run_kernels_gpu:
+    if: ${{ inputs.job == 'run_kernels_gpu' }}
+    name: Kernel tests
+    strategy:
+      fail-fast: false
+      matrix:
+        machine_type: [aws-g5-4xlarge-cache]
+    runs-on:
+      group: '${{ matrix.machine_type }}'
+    container:
+      image: ${{ inputs.docker }}
+      options: --gpus all --shm-size "16gb" --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+    steps:
+      - name: Update clone
+        working-directory: /transformers
+        env:
+          commit_sha: ${{ inputs.commit_sha || github.sha }}
+        run: git fetch && git checkout "$commit_sha"
+
+      - name: Reinstall transformers in edit mode
+        working-directory: /transformers
+        run: python3 -m pip uninstall -y transformers && python3 -m pip install -e .[testing]
+  
+      - name: Install kernels
+        working-directory: /transformers
+        run: python3 -m pip install -U kernels
+  
+      - 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: Set `machine_type` for report and artifact names
+        working-directory: /transformers
+        shell: bash
+        env:
+          matrix_machine_type: ${{ matrix.machine_type }}
+        run: |
+          echo "$matrix_machine_type"
+
+          if [ "$matrix_machine_type" = "aws-g5-4xlarge-cache" ]; then
+            machine_type=single-gpu
+          elif [ "$matrix_machine_type" = "aws-g5-12xlarge-cache" ]; then
+            machine_type=multi-gpu
+          else
+            machine_type="$matrix_machine_type"
+          fi
+
+          echo "$machine_type"
+          echo "machine_type=$machine_type" >> $GITHUB_ENV
+    
+      - name: Run kernel tests on GPU
+        working-directory: /transformers
+        run: |
+          python3 -m pytest -v --make-reports="${machine_type}_run_kernels_gpu_test_reports" tests/kernels/test_kernels.py
+
+      - name: Failure short reports
+        if: ${{ failure() }}
+        continue-on-error: true
+        run: cat "/transformers/reports/${machine_type}_run_kernels_gpu_test_reports/failures_short.txt"
+
+      - name: "Test suite reports artifacts: ${{ env.machine_type }}_run_kernels_gpu_test_reports"
+        if: ${{ always() }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: ${{ env.machine_type }}_run_kernels_gpu_test_reports
+          path: /transformers/reports/${{ env.machine_type }}_run_kernels_gpu_test_reports
+
+  run_extract_warnings:
+    # Let's only do this for the job `run_models_gpu` to simplify the (already complex) logic.
+    if: ${{ always() && inputs.job == 'run_models_gpu' }}
+    name: Extract warnings in CI artifacts
+    runs-on: ubuntu-22.04
+    needs: [setup, run_models_gpu]
+    steps:
+      # Checkout in order to run `utils/extract_warnings.py`. Avoid **explicit** checkout (i.e. don't specify `ref`) for
+      # security reason.
+      - name: Checkout transformers
+        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
+        with:
+          persist-credentials: false
+
+      - 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@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+        env:
+          ACTIONS_ARTIFACT_MAX_ARTIFACT_COUNT: 2000
+        with:
+          path: warnings_in_ci
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Show artifacts
+        run: echo "$(python3 -c 'import os; d = os.listdir(); print(d)')"
+        working-directory: warnings_in_ci
+
+      - name: Extract warnings in CI artifacts
+        env:
+          github_run_id: ${{ github.run_id }}
+          access_token: ${{ secrets.ACCESS_REPO_INFO_TOKEN }}
+        run: |
+          python3 utils/extract_warnings.py --workflow_run_id "$github_run_id" --output_dir warnings_in_ci --token "$access_token" --from_gh
+          echo "$(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@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
+        with:
+          name: warnings_in_ci
+          path: warnings_in_ci/selected_warnings.json
+
+  send_results:
+    name: Slack Report
+    needs: [
+      setup,
+      run_models_gpu,
+      run_trainer_and_fsdp_gpu,
+      run_pipelines_torch_gpu,
+      run_examples_gpu,
+      run_torch_cuda_extensions_gpu,
+      run_quantization_torch_gpu,
+      run_kernels_gpu,
+      run_extract_warnings
+    ]
+    if: always() && !cancelled()
+    uses: ./.github/workflows/slack-report.yml
+    with:
+      job: ${{ inputs.job }}
+      # This would be `skipped` if `setup` is skipped.
+      setup_status: ${{ needs.setup.result }}
+      slack_report_channel: ${{ inputs.slack_report_channel }}
+      # This would be an empty string if `setup` is skipped.
+      folder_slices: ${{ needs.setup.outputs.folder_slices }}
+      quantization_matrix: ${{ needs.setup.outputs.quantization_matrix }}
+      ci_event: ${{ inputs.ci_event }}
+      report_repo_id: ${{ inputs.report_repo_id }}
+      commit_sha: ${{ inputs.commit_sha || github.sha }}
+
+    secrets: inherit
+
+  check_new_failures:
+    if: ${{ always() && needs.send_results.result == 'success' }}
+    name: Check new failures
+    needs: send_results
+    uses: ./.github/workflows/check_failed_tests.yml
+    with:
+      docker: ${{ inputs.docker }}
+      commit_sha: ${{ inputs.commit_sha || github.sha }}
+      job: ${{ inputs.job }}
+      slack_report_channel: ${{ inputs.slack_report_channel }}
+      ci_event: ${{ inputs.ci_event }}
+      report_repo_id: ${{ inputs.report_repo_id }}
+      pr_number: ${{ inputs.pr_number }}
+
+    secrets: inherit