pr_tests_gpu.yml

name: Fast GPU Tests on PR 

on:
  pull_request:
    branches: main
    paths:
      - "src/diffusers/models/modeling_utils.py"
      - "src/diffusers/models/model_loading_utils.py"
      - "src/diffusers/pipelines/pipeline_utils.py"
      - "src/diffusers/pipeline_loading_utils.py"
      - "src/diffusers/loaders/lora_base.py"
      - "src/diffusers/loaders/lora_pipeline.py"
      - "src/diffusers/loaders/peft.py"
      - "tests/pipelines/test_pipelines_common.py"
      - "tests/models/test_modeling_common.py"
      - "examples/**/*.py"
  workflow_dispatch:

concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
  cancel-in-progress: true

env:
  DIFFUSERS_IS_CI: yes
  OMP_NUM_THREADS: 8
  MKL_NUM_THREADS: 8
  HF_XET_HIGH_PERFORMANCE: 1
  PYTEST_TIMEOUT: 600
  PIPELINE_USAGE_CUTOFF: 1000000000 # set high cutoff so that only always-test pipelines run

jobs:
  check_code_quality:
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: "3.8"
      - name: Install dependencies
        run: |
          pip install --upgrade pip
          pip install .[quality]
      - name: Check quality
        run: make quality
      - name: Check if failure
        if: ${{ failure() }}
        run: |
          echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make style && make quality'" >> $GITHUB_STEP_SUMMARY

  check_repository_consistency:
    needs: check_code_quality
    runs-on: ubuntu-22.04
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: "3.8"
      - name: Install dependencies
        run: |
          pip install --upgrade pip
          pip install .[quality]
      - name: Check repo consistency
        run: |
          python utils/check_copies.py
          python utils/check_dummies.py
          python utils/check_support_list.py
          make deps_table_check_updated
      - name: Check if failure
        if: ${{ failure() }}
        run: |
          echo "Repo consistency check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make fix-copies'" >> $GITHUB_STEP_SUMMARY
  
  setup_torch_cuda_pipeline_matrix:
    needs: [check_code_quality, check_repository_consistency]
    name: Setup Torch Pipelines CUDA Slow Tests Matrix
    runs-on:
      group: aws-general-8-plus
    container:
      image: diffusers/diffusers-pytorch-cpu
    outputs:
      pipeline_test_matrix: ${{ steps.fetch_pipeline_matrix.outputs.pipeline_test_matrix }}
    steps:
      - name: Checkout diffusers
        uses: actions/checkout@v3
        with:
          fetch-depth: 2
      - name: Install dependencies
        run: |
          uv pip install -e ".[quality]"
      - name: Environment
        run: |
          python utils/print_env.py
      - name: Fetch Pipeline Matrix
        id: fetch_pipeline_matrix
        run: |
          matrix=$(python utils/fetch_torch_cuda_pipeline_test_matrix.py)
          echo $matrix
          echo "pipeline_test_matrix=$matrix" >> $GITHUB_OUTPUT
      - name: Pipeline Tests Artifacts
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: test-pipelines.json
          path: reports

  torch_pipelines_cuda_tests:
    name: Torch Pipelines CUDA Tests
    needs: setup_torch_cuda_pipeline_matrix
    strategy:
      fail-fast: false
      max-parallel: 8
      matrix:
        module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
    runs-on:
      group: aws-g4dn-2xlarge
    container:
      image: diffusers/diffusers-pytorch-cuda
      options: --shm-size "16gb" --ipc host --gpus all
    steps:
      - name: Checkout diffusers
        uses: actions/checkout@v3
        with:
          fetch-depth: 2

      - name: NVIDIA-SMI
        run: |
          nvidia-smi
      - name: Install dependencies
        run: |
          uv pip install -e ".[quality]"
          uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
          uv pip uninstall transformers huggingface_hub && uv pip install --prerelease allow -U transformers@git+https://github.com/huggingface/transformers.git

      - name: Environment
        run: |
          python utils/print_env.py
      - name: Extract tests
        id: extract_tests
        run: |
          pattern=$(python utils/extract_tests_from_mixin.py --type pipeline)
          echo "$pattern" > /tmp/test_pattern.txt
          echo "pattern_file=/tmp/test_pattern.txt" >> $GITHUB_OUTPUT

      - name: PyTorch CUDA checkpoint tests on Ubuntu
        env:
          HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
          # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
          CUBLAS_WORKSPACE_CONFIG: :16:8
        run: |
          if [ "${{ matrix.module }}" = "ip_adapters" ]; then 
              pytest -n 1 --max-worker-restart=0 --dist=loadfile \
              -s -v -k "not Flax and not Onnx" \
              --make-reports=tests_pipeline_${{ matrix.module }}_cuda \
              tests/pipelines/${{ matrix.module }}
          else 
              pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }})
              pytest -n 1 --max-worker-restart=0 --dist=loadfile \
              -s -v -k "not Flax and not Onnx and $pattern" \
              --make-reports=tests_pipeline_${{ matrix.module }}_cuda \
              tests/pipelines/${{ matrix.module }}
          fi 

      - name: Failure short reports
        if: ${{ failure() }}
        run: |
          cat reports/tests_pipeline_${{ matrix.module }}_cuda_stats.txt
          cat reports/tests_pipeline_${{ matrix.module }}_cuda_failures_short.txt
      - name: Test suite reports artifacts
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: pipeline_${{ matrix.module }}_test_reports
          path: reports

  torch_cuda_tests:
    name: Torch CUDA Tests
    needs: [check_code_quality, check_repository_consistency]
    runs-on:
      group: aws-g4dn-2xlarge
    container:
      image: diffusers/diffusers-pytorch-cuda
      options: --shm-size "16gb" --ipc host --gpus all
    defaults:
      run:
        shell: bash
    strategy:
      fail-fast: false
      max-parallel: 4
      matrix:
        module: [models, schedulers, lora, others]
    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

    - name: Install dependencies
      run: |
        uv pip install -e ".[quality]"
        uv pip install peft@git+https://github.com/huggingface/peft.git
        uv pip uninstall accelerate && uv pip install -U accelerate@git+https://github.com/huggingface/accelerate.git
        uv pip uninstall transformers huggingface_hub && uv pip install --prerelease allow -U transformers@git+https://github.com/huggingface/transformers.git

    - name: Environment
      run: |
        python utils/print_env.py

    - name: Extract tests
      id: extract_tests
      run: |
        pattern=$(python utils/extract_tests_from_mixin.py --type ${{ matrix.module }})
        echo "$pattern" > /tmp/test_pattern.txt
        echo "pattern_file=/tmp/test_pattern.txt" >> $GITHUB_OUTPUT

    - name: Run PyTorch CUDA tests
      env:
        HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
        # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
        CUBLAS_WORKSPACE_CONFIG: :16:8
      run: |
        pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }})
        if [ -z "$pattern" ]; then
          pytest -n 1 -sv --max-worker-restart=0 --dist=loadfile -k "not Flax and not Onnx" tests/${{ matrix.module }} \
          --make-reports=tests_torch_cuda_${{ matrix.module }}  
        else
          pytest -n 1 -sv --max-worker-restart=0 --dist=loadfile -k "not Flax and not Onnx and $pattern" tests/${{ matrix.module }} \
          --make-reports=tests_torch_cuda_${{ matrix.module }}  
        fi

    - name: Failure short reports
      if: ${{ failure() }}
      run: |
        cat reports/tests_torch_cuda_${{ matrix.module }}_stats.txt
        cat reports/tests_torch_cuda_${{ matrix.module }}_failures_short.txt

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

  run_examples_tests:
    name: Examples PyTorch CUDA tests on Ubuntu
    needs: [check_code_quality, check_repository_consistency]
    runs-on:
      group: aws-g4dn-2xlarge

    container:
      image: diffusers/diffusers-pytorch-cuda
      options: --gpus all --shm-size "16gb" --ipc host
    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

    - name: NVIDIA-SMI
      run: |
        nvidia-smi
    - name: Install dependencies
      run: |
        uv pip uninstall transformers huggingface_hub && uv pip install --prerelease allow -U transformers@git+https://github.com/huggingface/transformers.git
        uv pip install -e ".[quality,training]"

    - name: Environment
      run: |
        python utils/print_env.py

    - name: Run example tests on GPU
      env:
        HF_TOKEN: ${{ secrets.DIFFUSERS_HF_HUB_READ_TOKEN }}
      run: |
        uv pip install ".[training]"
        pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v --make-reports=examples_torch_cuda examples/

    - name: Failure short reports
      if: ${{ failure() }}
      run: |
        cat reports/examples_torch_cuda_stats.txt
        cat reports/examples_torch_cuda_failures_short.txt

    - name: Test suite reports artifacts
      if: ${{ always() }}
      uses: actions/upload-artifact@v4
      with:
        name: examples_test_reports
        path: reports