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name: CI |
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on: [push, pull_request] |
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jobs: |
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linter: |
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runs-on: ubuntu-latest |
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if: ${{ github.repository_owner == 'facebookresearch' || github.event_name == 'pull_request' }} |
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steps: |
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- uses: actions/checkout@v2 |
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- name: Set up Python 3.6 |
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uses: actions/setup-python@v2 |
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with: |
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python-version: 3.6 |
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- name: Install dependencies |
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run: | |
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python -m pip install --upgrade pip |
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python -m pip install flake8==3.8.1 isort==4.3.21 |
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python -m pip install black==21.4b2 |
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flake8 --version |
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- name: Lint |
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run: | |
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echo "Running isort" |
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isort -c -sp . |
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echo "Running black" |
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black -l 100 --check . |
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echo "Running flake8" |
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flake8 . |
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macos_tests: |
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runs-on: macos-latest |
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if: ${{ github.repository_owner == 'facebookresearch' || github.event_name == 'pull_request' }} |
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strategy: |
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fail-fast: false |
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matrix: |
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torch: ["1.8", "1.9", "1.10"] |
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include: |
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- torch: "1.8" |
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torchvision: 0.9 |
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- torch: "1.9" |
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torchvision: "0.10" |
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- torch: "1.10" |
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torchvision: "0.11.1" |
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env: |
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DETECTRON2_DATASETS: ~/.torch/datasets |
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steps: |
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- name: Checkout |
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uses: actions/checkout@v2 |
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- name: Set up Python 3.6 |
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uses: actions/setup-python@v2 |
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with: |
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python-version: 3.6 |
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- name: Cache dependencies |
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uses: actions/cache@v2 |
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with: |
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path: | |
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${{ env.pythonLocation }}/lib/python3.6/site-packages |
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~/.torch |
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key: ${{ runner.os }}-torch${{ matrix.torch }}-${{ hashFiles('setup.py') }}-20210420 |
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- name: Install dependencies |
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run: | |
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python -m pip install -U pip |
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python -m pip install ninja opencv-python-headless onnx pytest-xdist |
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python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html |
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# install from github to get latest; install iopath first since fvcore depends on it |
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python -m pip install -U 'git+https://github.com/facebookresearch/iopath' |
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python -m pip install -U 'git+https://github.com/facebookresearch/fvcore' |
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- name: Build and install |
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run: | |
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CC=clang CXX=clang++ python -m pip install -e .[all] |
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python -m detectron2.utils.collect_env |
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./datasets/prepare_for_tests.sh |
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- name: Run unittests |
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run: python -m pytest -n 4 --durations=15 -v tests/ |
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