make build_batch_data_loader work better when dataset size is not mul… #2255
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| name: CI | |
| on: [push, pull_request] | |
| # Run linter with github actions for quick feedbacks. | |
| # Run macos tests with github actions. Linux (CPU & GPU) tests currently runs on CircleCI | |
| jobs: | |
| linter: | |
| runs-on: ubuntu-latest | |
| # run on PRs, or commits to facebookresearch (not internal) | |
| if: ${{ github.repository_owner == 'facebookresearch' || github.event_name == 'pull_request' }} | |
| steps: | |
| - uses: actions/checkout@v2 | |
| - name: Set up Python 3.9 | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: 3.9 | |
| - name: Install dependencies | |
| # flake8-bugbear flake8-comprehensions are useful but not available internally | |
| run: | | |
| python -m pip install --upgrade pip | |
| python -m pip install flake8==3.8.1 isort==4.3.21 | |
| python -m pip install black==22.3.0 | |
| flake8 --version | |
| - name: Lint | |
| run: | | |
| echo "Running isort" | |
| isort -c -sp . | |
| echo "Running black" | |
| black -l 100 --check . | |
| echo "Running flake8" | |
| flake8 . | |
| macos_tests: | |
| runs-on: macos-latest | |
| # run on PRs, or commits to facebookresearch (not internal) | |
| if: ${{ github.repository_owner == 'facebookresearch' || github.event_name == 'pull_request' }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| torch: ["1.8", "1.9", "1.10"] | |
| include: | |
| - torch: "1.8" | |
| torchvision: 0.9 | |
| - torch: "1.9" | |
| torchvision: "0.10" | |
| - torch: "1.10" | |
| torchvision: "0.11.1" | |
| env: | |
| # point datasets to ~/.torch so it's cached by CI | |
| DETECTRON2_DATASETS: ~/.torch/datasets | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v2 | |
| - name: Set up Python 3.8 | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: 3.8 | |
| - name: Cache dependencies | |
| uses: actions/cache@v2 | |
| with: | |
| path: | | |
| ${{ env.pythonLocation }}/lib/python3.8/site-packages | |
| ~/.torch | |
| key: ${{ runner.os }}-torch${{ matrix.torch }}-${{ hashFiles('setup.py') }}-20220119 | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install -U pip | |
| python -m pip install ninja opencv-python-headless onnx pytest-xdist | |
| python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html | |
| # install from github to get latest; install iopath first since fvcore depends on it | |
| python -m pip install -U 'git+https://github.com/facebookresearch/iopath' | |
| python -m pip install -U 'git+https://github.com/facebookresearch/fvcore' | |
| - name: Build and install | |
| run: | | |
| CC=clang CXX=clang++ python -m pip install -e .[all] | |
| python -m detectron2.utils.collect_env | |
| ./datasets/prepare_for_tests.sh | |
| - name: Run unittests | |
| run: python -m pytest -n 4 --durations=15 -sv tests/ |