build.yml

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: build

on:
  push:
    paths-ignore:
      - ".dev_scripts/**"
      - ".github/**.md"
      - "demo/**"
      - "docker/**"
      - "tools/**"

  pull_request:
    paths-ignore:
      - ".dev_scripts/**"
      - ".github/**.md"
      - "demo/**"
      - "docker/**"
      - "tools/**"
      - "docs/**"
      - "docs_zh-CN/**"

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

jobs:
  build:
    env:
      FORCE_CUDA: 1
      CUDA_ARCH: ${{matrix.cuda_arch}}
    runs-on: ubuntu-18.04
    container:
      image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel

    strategy:
      matrix:
        python-version: [3.6, 3.7]
        torch: [1.5.0+cu101, 1.6.0+cu101, 1.7.0+cu101, 1.8.0+cu101]
        include:
          - torch: 1.5.0+cu101
            torch_version: torch1.5
            torchvision: 0.6.0+cu101
            mmcv_link: "torch1.5.0"
            cuda_arch: "7.0"
          - torch: 1.6.0+cu101
            torch_version: torch1.6
            mmcv_link: "torch1.6.0"
            torchvision: 0.7.0+cu101
            cuda_arch: "7.0"
          - torch: 1.7.0+cu101
            torch_version: torch1.7
            mmcv_link: "torch1.7.0"
            torchvision: 0.8.1+cu101
            cuda_arch: "7.0"
          - torch: 1.8.0+cu101
            torch_version: torch1.8
            mmcv_link: "torch1.8.0"
            torchvision: 0.9.0+cu101
            cuda_arch: "7.0"

    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Fetch GPG keys
        run: |
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y ffmpeg libsm6 git ninja-build libglib2.0-0 libsm6 libxrender-dev python${{matrix.python-version}}-dev
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Install PyTorch
        run: python -m pip install numpy==1.19.5 torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmdet3d dependencies
        run: |
          python -m pip install mmcv-full==1.6.0 -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.torch_version}}/index.html
          python -m pip install mmdet
          python -m pip install mmsegmentation
          python -m pip install -r requirements.txt
      - name: Build and install
        run: |
          rm -rf .eggs
          python setup.py check -m -s
          TORCH_CUDA_ARCH_LIST=${CUDA_ARCH} python setup.py build_ext --inplace
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --source mmdet3d -m pytest tests/
          coverage xml
          coverage report -m
      # Only upload coverage report for python3.7 && pytorch1.5
      - name: Upload coverage to Codecov
        if: ${{matrix.torch == '1.5.0+cu101' && matrix.python-version == '3.7'}}
        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_windows:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [windows-2022]
        python: [3.8]
        platform: [cpu]
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python }}
      - name: Upgrade pip
        run: python -m pip install pip --upgrade --user
      - name: Install PyTorch
        # As a complement to Linux CI, we test on PyTorch LTS version
        run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
      - name: Install mmdet3d dependencies
        run: |
          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8/index.html --only-binary mmcv-full
          python -m pip install mmdet
          python -m pip install mmsegmentation
          python -m pip install -r requirements/build.txt -r requirements/runtime.txt -r requirements/tests.txt
      - name: Build and install
        run: pip install -e .
      - name: Run unittests and generate coverage report
        run: coverage run --branch --source mmdet3d -m pytest tests/
      - name: Generate coverage report
        run: |
          coverage xml
          coverage report -m
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v2
        with:
          file: ./coverage.xml
          flags: unittests
          env_vars: OS,PYTHON
          name: codecov-umbrella
          fail_ci_if_error: false