# 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: torch1.5.0
            torchvision: 0.6.0+cu101
            mmcv_link: "torch1.5.0"
            cuda_arch: "7.0"
          - torch: 1.6.0+cu101
            torch_version: torch1.6.0
            mmcv_link: "torch1.6.0"
            torchvision: 0.7.0+cu101
            cuda_arch: "7.0"
          - torch: 1.7.0+cu101
            torch_version: torch1.7.0
            mmcv_link: "torch1.7.0"
            torchvision: 0.8.1+cu101
            cuda_arch: "7.0"
          - torch: 1.8.0+cu101
            torch_version: torch1.8.0
            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: ${{ matrix.python-version }}
      - name: Install system dependencies
        run: |
          apt-get update && apt-get install -y ffmpeg libsm6 git ninja-build libglib2.0-0 libsm6 libxrender-dev python${{matrix.python-version}}-dev
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Install Pillow
        run: python -m pip install Pillow==6.2.2
        if: ${{matrix.torchvision < 0.5}}
      - name: Install PyTorch
        run: python -m pip install numpy==1.19.5 torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmdet3d dependencies
        run: |
          python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.torch_version}}/index.html
          python -m pip install mmdet==2.19.0
          python -m pip install mmsegmentation==0.20.0
          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
