# 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, pull_request] jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Set up Python 3.7 uses: actions/setup-python@v1 with: python-version: 3.7 - name: Install linting dependencies run: | python -m pip install --upgrade pip pip install flake8 isort yapf interrogate - name: Lint with flake8 run: flake8 . - name: Lint with isort run: isort --recursive --check-only --diff mmdet3d/ tests/ examples/ - name: Format python codes with yapf run: yapf -r -d mmdet3d/ tests/ examples/ - name: Check docstring run: interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmdet3d/ops --ignore-regex "__repr__" --fail-under 80 mmdet3d build: env: CUDA: 10.1.105-1 CUDA_SHORT: 10.1 UBUNTU_VERSION: ubuntu1804 FORCE_CUDA: 1 MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61 runs-on: ubuntu-latest strategy: matrix: python-version: [3.6, 3.7] torch: [1.3.0+cpu, 1.5.0+cpu] include: - torch: 1.3.0+cpu torchvision: 0.4.2+cpu - torch: 1.5.0+cpu torchvision: 0.6.0+cpu - torch: 1.5.0+cpu torchvision: 0.6.0+cpu python-version: 3.8 - torch: 1.5.0+cu101 torchvision: 0.6.0+cu101 python-version: 3.7 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 CUDA if: ${{matrix.torch == '1.5.0+cu101'}} run: | export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER} sudo dpkg -i ${INSTALLER} wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub sudo apt-key add 7fa2af80.pub sudo apt update -qq sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-} sudo apt clean export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT} export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH} export PATH=${CUDA_HOME}/bin:${PATH} sudo apt-get install -y ninja-build - name: Install Pillow if: ${{matrix.torchvision == '0.4.2+cpu'}} run: pip install Pillow==6.2.2 - name: Install PyTorch run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html - name: Install mmdet3d dependencies run: | pip install mmcv==1.0rc0+torch${{matrix.torch}} -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html pip install -r requirements.txt - name: Build and install run: rm -rf .eggs && pip install -e . - name: Run unittests and generate coverage report run: | coverage run --branch --source mmdet3d -m pytest tests/ coverage xml coverage report -m --omit="mmdet3d/utils/*","mmdet3d/apis/*" # 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