101 lines
3.7 KiB
YAML
101 lines
3.7 KiB
YAML
name: build
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on: [push, pull_request]
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jobs:
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lint:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.7
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uses: actions/setup-python@v1
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with:
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python-version: 3.7
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- name: Install linting dependencies
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run: |
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python -m pip install --upgrade pip
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pip install flake8 isort==4.3.21 yapf interrogate
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- name: Lint with flake8
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run: flake8 .
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- name: Lint with isort
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run: isort --recursive --check-only --diff mmseg/ tests/ examples/
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- name: Format python codes with yapf
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run: yapf -r -d mmseg/ tests/ examples/
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- name: Check docstring
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run: interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmseg/ops --ignore-regex "__repr__" --fail-under 80 mmseg
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build:
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env:
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CUDA: 10.1.105-1
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CUDA_SHORT: 10.1
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UBUNTU_VERSION: ubuntu1804
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FORCE_CUDA: 1
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MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.6, 3.7]
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torch: [1.3.0+cpu, 1.5.0+cpu]
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include:
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- torch: 1.3.0+cpu
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torchvision: 0.4.2+cpu
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- torch: 1.5.0+cpu
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torchvision: 0.6.0+cpu
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- torch: 1.5.0+cpu
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torchvision: 0.6.0+cpu
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python-version: 3.8
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- torch: 1.5.0+cu101
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torchvision: 0.6.0+cu101
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python-version: 3.7
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- torch: 1.6.0+cu101
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torchvision: 0.7.0+cu101
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python-version: 3.7
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install CUDA
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if: ${{matrix.torch == '1.5.0+cu101'}}
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run: |
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export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
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wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
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sudo dpkg -i ${INSTALLER}
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wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
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sudo apt-key add 7fa2af80.pub
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sudo apt update -qq
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sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
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sudo apt clean
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export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
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export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
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export PATH=${CUDA_HOME}/bin:${PATH}
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sudo apt-get install -y ninja-build
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- name: Install Pillow
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if: ${{matrix.torchvision == '0.4.2+cpu'}}
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run: pip install Pillow==6.2.2
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install mmseg dependencies
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run: |
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pip install mmcv-full==latest+torch${{matrix.torch}} -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html
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pip install -r requirements.txt
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- name: Build and install
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run: rm -rf .eggs && pip install -e .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmseg -m pytest tests/
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coverage xml
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coverage report -m
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# Only upload coverage report for python3.7 && pytorch1.5
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- name: Upload coverage to Codecov
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if: ${{matrix.torch == '1.5.0+cu101' && matrix.python-version == '3.7'}}
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uses: codecov/codecov-action@v1.0.10
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with:
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file: ./coverage.xml
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flags: unittests
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env_vars: OS,PYTHON
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name: codecov-umbrella
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fail_ci_if_error: false
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