interface for lsa #2
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| 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 pre-commit hook | |
| run: | | |
| pip install pre-commit | |
| pre-commit install | |
| - name: Linting | |
| run: pre-commit run --all-files | |
| - name: Check docstring | |
| run: | | |
| pip install interrogate | |
| interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmseg/ops --ignore-regex "__repr__" --fail-under 80 mmseg | |
| 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 | |
| - torch: 1.6.0+cu101 | |
| torchvision: 0.7.0+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==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html | |
| - name: Install mmseg dependencies | |
| run: | | |
| pip install mmcv-full==latest+torch${{matrix.torch}} -f https://download.openmmlab.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 mmseg -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 |