build.yml

name: build

on:
  push:
    paths-ignore:
      - 'demo/**'
      - '.dev/**'
      - 'docker/**'
      - 'tools/**'
      - '**.md'
      - 'projects/**'

  pull_request:
    paths-ignore:
      - 'demo/**'
      - '.dev/**'
      - 'docker/**'
      - 'tools/**'
      - 'docs/**'
      - '**.md'
      - 'projects/**'

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  build_cpu:
    runs-on: ubuntu-18.04
    strategy:
      matrix:
        python-version: [3.7]
        torch: [1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
        include:
          - torch: 1.5.1
            torch_version: torch1.5
            torchvision: 0.6.1
          - torch: 1.6.0
            torch_version: torch1.6
            torchvision: 0.7.0
          - torch: 1.7.0
            torch_version: torch1.7
            torchvision: 0.8.1
          - torch: 1.8.0
            torch_version: torch1.8
            torchvision: 0.9.0
          - torch: 1.9.0
            torch_version: torch1.9
            torchvision: 0.10.0
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Upgrade pip
        run: pip install pip --upgrade
      - name: Install PyTorch
        run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install MMCV
        run: |
          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/${{matrix.torch_version}}/index.html
          python -c 'import mmcv; print(mmcv.__version__)'
      - name: Install unittest dependencies
        run: |
          pip install -r requirements.txt
      - name: Build and install
        run: rm -rf .eggs && pip install -e .
      - name: Run unittests and generate coverage report
        run: |
          pip install timm
          coverage run --branch --source mmseg -m pytest tests/
          coverage xml
          coverage report -m
        # timm from v0.6.11 requires torch>=1.7
        if: ${{matrix.torch != '1.5.1' && matrix.torch != '1.6.0'}}
      - name: Skip timm unittests and generate coverage report
        run: |
          coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
          coverage xml
          coverage report -m
        if: ${{matrix.torch == '1.5.1' || matrix.torch == '1.6.0'}}

  build_cuda101:
    runs-on: ubuntu-18.04
    container:
      image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel

    strategy:
      matrix:
        python-version: [3.7]
        torch:
          [
            1.5.1+cu101,
            1.6.0+cu101,
            1.7.0+cu101,
            1.8.0+cu101
          ]
        include:
          - torch: 1.5.1+cu101
            torch_version: torch1.5
            torchvision: 0.6.1+cu101
          - torch: 1.6.0+cu101
            torch_version: torch1.6
            torchvision: 0.7.0+cu101
          - torch: 1.7.0+cu101
            torch_version: torch1.7
            torchvision: 0.8.1+cu101
          - torch: 1.8.0+cu101
            torch_version: torch1.8
            torchvision: 0.9.0+cu101

    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Fetch GPG keys
        run: |
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y libgl1-mesa-glx ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 python${{matrix.python-version}}-dev
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Install PyTorch
        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmseg dependencies
        run: |
          python -V
          python -m pip install -U openmim
          mim install mmcv-full
          python -m pip install -r requirements.txt
          python -c 'import mmcv; print(mmcv.__version__)'
      - name: Build and install
        run: |
          rm -rf .eggs
          python setup.py check -m -s
          TORCH_CUDA_ARCH_LIST=7.0 pip install .
      - name: Run unittests and generate coverage report
        run: |
          python -m pip install timm
          coverage run --branch --source mmseg -m pytest tests/
          coverage xml
          coverage report -m
        # timm from v0.6.11 requires torch>=1.7
        if: ${{matrix.torch != '1.5.1+cu101' && matrix.torch != '1.6.0+cu101'}}
      - name: Skip timm unittests and generate coverage report
        run: |
          coverage run --branch --source mmseg -m pytest tests/ --ignore tests/test_models/test_backbones/test_timm_backbone.py
          coverage xml
          coverage report -m
        if: ${{matrix.torch == '1.5.1+cu101' || matrix.torch == '1.6.0+cu101'}}
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v1.0.10
        with:
          file: ./coverage.xml
          flags: unittests
          env_vars: OS,PYTHON
          name: codecov-umbrella
          fail_ci_if_error: false

  build_cuda102:
    env:
      LC_ALL: C.UTF-8
      LANG: C.UTF-8
    runs-on: ubuntu-18.04
    container:
      image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
    strategy:
      matrix:
        python-version: [3.6, 3.7, 3.8, 3.9]
        torch: [1.9.0+cu102]
        include:
          - torch: 1.9.0+cu102
            torch_version: torch1.9
            torchvision: 0.10.0+cu102
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Fetch GPG keys
        run: |
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y libgl1-mesa-glx ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Install PyTorch
        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmseg dependencies
        run: |
          python -V
          python -m pip install openmim
          mim install mmcv-full
          python -m pip install -r requirements.txt
          python -c 'import mmcv; print(mmcv.__version__)'
      - name: Build and install
        run: |
          rm -rf .eggs
          python setup.py check -m -s
          TORCH_CUDA_ARCH_LIST=7.0 pip install .
      - name: Run unittests and generate coverage report
        run: |
          python -m pip install timm
          coverage run --branch --source mmseg -m pytest tests/
          coverage xml
          coverage report -m
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v2
        with:
          files: ./coverage.xml
          flags: unittests
          env_vars: OS,PYTHON
          name: codecov-umbrella
          fail_ci_if_error: false

  build_cuda116:
    runs-on: ubuntu-18.04
    container:
      image: pytorch/pytorch:1.13.0-cuda11.6-cudnn8-devel
    env:
      FORCE_CUDA: 1
      MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
    strategy:
      matrix:
        python-version: ['3.10']
        torch: [1.13.0+cu116]
        include:
          - torch: 1.13.0+cu116
            torchvision: 0.14.0+cu116
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Fetch GPG keys
        run: |
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
      - name: Add PPA
        run: |
          apt-get update && apt-get install -y software-properties-common
          add-apt-repository -y ppa:deadsnakes/ppa
      - name: Install python-dev
        run: apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y python${{matrix.python-version}}-dev
      - name: python -m Install PyTorch
        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install system dependencies
        run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
      - name: Install PyTorch
        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmseg dependencies
        run: |
          python -V
          python -m pip install openmim
          mim install mmcv-full
          python -m pip install -r requirements.txt
          python -c 'import mmcv; print(mmcv.__version__)'
      - name: Build and install
        run: |
          rm -rf .eggs
          python setup.py check -m -s
          TORCH_CUDA_ARCH_LIST=7.0 pip install .
      - name: Run unittests and generate coverage report
        run: |
          python -m pip install timm
          coverage run --branch --source mmseg -m pytest tests/
          coverage xml
          coverage report -m

  test_windows:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [windows-2022]
        python: [3.8]
        platform: [cpu, cu111]
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python }}
      - name: Upgrade pip
        run: python -m pip install pip --upgrade --user
      - name: Install OpenCV
        run: pip install opencv-python>=3
      - name: Install PyTorch
        # As a complement to Linux CI, we test on PyTorch LTS version
        run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
      - name: Install MMCV
        run: |
          pip install -U openmim
          mim install mmcv-full
      - name: Install unittest dependencies
        run: pip install -r requirements/tests.txt -r requirements/optional.txt
      - name: Build and install
        run: pip install -e .
      - name: Run unittests
        run: |
          python -m pip install timm
          coverage run --branch --source mmseg -m pytest tests/
      - name: Generate coverage report
        run: |
          coverage xml
          coverage report -m