push_tests.yml

name: Slow Tests on main

on:
  push:
    branches:
      - main


env:
  DIFFUSERS_IS_CI: yes
  HF_HOME: /mnt/cache
  OMP_NUM_THREADS: 8
  MKL_NUM_THREADS: 8
  PYTEST_TIMEOUT: 600
  RUN_SLOW: yes
  PIPELINE_USAGE_CUTOFF: 50000

jobs:
  setup_torch_cuda_pipeline_matrix:
    name: Setup Torch Pipelines CUDA Slow Tests Matrix
    runs-on: docker-gpu
    container:
      image: diffusers/diffusers-pytorch-cpu # this is a CPU image, but we need it to fetch the matrix
      options: --shm-size "16gb" --ipc host
    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: |
          apt-get update && apt-get install libsndfile1-dev libgl1 -y
          python -m pip install -e .[quality,test]
          python -m pip install git+https://github.com/huggingface/accelerate.git

      - 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@v2
        with:
          name: test-pipelines.json
          path: reports

  torch_pipelines_cuda_tests:
    name: Torch Pipelines CUDA Slow Tests
    needs: setup_torch_cuda_pipeline_matrix
    strategy:
      fail-fast: false
      max-parallel: 1
      matrix:
        module: ${{ fromJson(needs.setup_torch_cuda_pipeline_matrix.outputs.pipeline_test_matrix) }}
    runs-on: docker-gpu
    container:
      image: diffusers/diffusers-pytorch-cuda
      options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ --gpus 0
    steps:
      - name: Checkout diffusers
        uses: actions/checkout@v3
        with:
          fetch-depth: 2
      - name: NVIDIA-SMI
        run: |
          nvidia-smi
      - name: Install dependencies
        run: |
          apt-get update && apt-get install libsndfile1-dev libgl1 -y
          python -m pip install -e .[quality,test]
          python -m pip install git+https://github.com/huggingface/accelerate.git
      - name: Environment
        run: |
          python utils/print_env.py
      - name: Slow PyTorch CUDA checkpoint tests on Ubuntu
        env:
          HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
          # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
          CUBLAS_WORKSPACE_CONFIG: :16:8
        run: |
          python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
            -s -v -k "not Flax and not Onnx" \
            --make-reports=tests_pipeline_${{ matrix.module }}_cuda \
            tests/pipelines/${{ matrix.module }}
      - 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: ${{ always() }}
        uses: actions/upload-artifact@v2
        with:
          name: pipeline_${{ matrix.module }}_test_reports
          path: reports

  torch_cuda_tests:
    name: Torch CUDA Tests
    runs-on: docker-gpu
    container:
      image: diffusers/diffusers-pytorch-cuda
      options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ --gpus 0
    defaults:
      run:
        shell: bash
    strategy:
      matrix:
        module: [models, schedulers, lora, others]
    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

    - name: Install dependencies
      run: |
        apt-get update && apt-get install libsndfile1-dev libgl1 -y
        python -m pip install -e .[quality,test]
        python -m pip install git+https://github.com/huggingface/accelerate.git

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

    - name: Run slow PyTorch CUDA tests
      env:
        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
        # https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
        CUBLAS_WORKSPACE_CONFIG: :16:8
      run: |
        python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
          -s -v -k "not Flax and not Onnx" \
          --make-reports=tests_torch_cuda \
          tests/${{ matrix.module }}

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

    - name: Test suite reports artifacts
      if: ${{ always() }}
      uses: actions/upload-artifact@v2
      with:
        name: torch_cuda_test_reports
        path: reports

  flax_tpu_tests:
    name: Flax TPU Tests
    runs-on: docker-tpu
    container:
      image: diffusers/diffusers-flax-tpu
      options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ --privileged
    defaults:
      run:
        shell: bash
    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

    - name: Install dependencies
      run: |
        apt-get update && apt-get install libsndfile1-dev libgl1 -y
        python -m pip install -e .[quality,test]
        python -m pip install git+https://github.com/huggingface/accelerate.git

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

    - name: Run slow Flax TPU tests
      env:
        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
      run: |
        python -m pytest -n 0 \
          -s -v -k "Flax" \
          --make-reports=tests_flax_tpu \
          tests/

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

    - name: Test suite reports artifacts
      if: ${{ always() }}
      uses: actions/upload-artifact@v2
      with:
        name: flax_tpu_test_reports
        path: reports

  onnx_cuda_tests:
    name: ONNX CUDA Tests
    runs-on: docker-gpu
    container:
      image: diffusers/diffusers-onnxruntime-cuda
      options: --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/ --gpus 0
    defaults:
      run:
        shell: bash
    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

    - name: Install dependencies
      run: |
        apt-get update && apt-get install libsndfile1-dev libgl1 -y
        python -m pip install -e .[quality,test]
        python -m pip install git+https://github.com/huggingface/accelerate.git

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

    - name: Run slow ONNXRuntime CUDA tests
      env:
        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
      run: |
        python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
          -s -v -k "Onnx" \
          --make-reports=tests_onnx_cuda \
          tests/

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

    - name: Test suite reports artifacts
      if: ${{ always() }}
      uses: actions/upload-artifact@v2
      with:
        name: onnx_cuda_test_reports
        path: reports

  run_torch_compile_tests:
    name: PyTorch Compile CUDA tests

    runs-on: docker-gpu

    container:
      image: diffusers/diffusers-pytorch-compile-cuda
      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/

    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

    - name: NVIDIA-SMI
      run: |
        nvidia-smi
    - name: Install dependencies
      run: |
        python -m pip install -e .[quality,test,training]
    - name: Environment
      run: |
        python utils/print_env.py
    - name: Run example tests on GPU
      env:
        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
      run: |
        python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "compile" --make-reports=tests_torch_compile_cuda tests/
    - name: Failure short reports
      if: ${{ failure() }}
      run: cat reports/tests_torch_compile_cuda_failures_short.txt

    - name: Test suite reports artifacts
      if: ${{ always() }}
      uses: actions/upload-artifact@v2
      with:
        name: torch_compile_test_reports
        path: reports

  run_examples_tests:
    name: Examples PyTorch CUDA tests on Ubuntu

    runs-on: docker-gpu

    container:
      image: diffusers/diffusers-pytorch-cuda
      options: --gpus 0 --shm-size "16gb" --ipc host -v /mnt/hf_cache:/mnt/cache/

    steps:
    - name: Checkout diffusers
      uses: actions/checkout@v3
      with:
        fetch-depth: 2

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

    - name: Install dependencies
      run: |
        python -m pip install -e .[quality,test,training]

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

    - name: Run example tests on GPU
      env:
        HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
      run: |
        python -m 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@v2
      with:
        name: examples_test_reports
        path: reports