fix dal-base config #61
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| # 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 |