mmdetection-2.26.0/.circleci/config.yml

version: 2.1

jobs:
  lint:
    docker:
      - image: cimg/python:3.7.4
    steps:
      - checkout
      - run:
          name: Install pre-commit hook
          command: |
            pip install pre-commit
            pre-commit install
      - run:
          name: Linting
          command: pre-commit run --all-files
      - run:
          name: Check docstring coverage
          command: |
            pip install interrogate
            interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 50 mmdet

  build_cpu:
    parameters:
      # The python version must match available image tags in
      # https://circleci.com/developer/images/image/cimg/python
      python:
        type: string
        default: "3.7.4"
      torch:
        type: string
      torchvision:
        type: string
    docker:
      - image: cimg/python:<< parameters.python >>
    resource_class: large
    steps:
      - checkout
      - run:
          name: Install Libraries
          command: |
            sudo apt-get update
            sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5
      - run:
          name: Configure Python & pip
          command: |
            pip install --upgrade pip
            pip install wheel
      - run:
          name: Install PyTorch
          command: |
            python -V
            pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
      - when:
          condition:
            equal: [ "3.9.0", << parameters.python >> ]
          steps:
            - run: pip install "protobuf <= 3.20.1" && sudo apt-get update && sudo apt-get -y install libprotobuf-dev protobuf-compiler cmake
      - run:
          name: Install mmdet dependencies
          command: |
            pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch<< parameters.torch >>/index.html
            pip install -r requirements/tests.txt -r requirements/optional.txt
            pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
            pip install git+https://github.com/cocodataset/panopticapi.git
      - run:
          name: Build and install
          command: |
            pip install -e .
      - run:
          name: Run unittests
          command: |
            coverage run --branch --source mmdet -m pytest tests/
            coverage xml
            coverage report -m

  build_cu101:
    machine:
      image: ubuntu-1604-cuda-10.1:201909-23
    resource_class: gpu.nvidia.small
    steps:
      - checkout
      - run:
          name: Install Libraries
          command: |
            sudo apt-get update
            sudo apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx
      - run:
          name: Configure Python & pip
          command: |
            pyenv global 3.7.0
            pip install --upgrade pip
            pip install wheel
      - run:
          name: Install PyTorch
          command: |
            python -V
            pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
      - run:
          name: Install mmdet dependencies
          # pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch${{matrix.torch_version}}/index.html
          command: |
            pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
            pip install -r requirements/tests.txt -r requirements/optional.txt
            pip install pycocotools
            pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
            pip install git+https://github.com/cocodataset/panopticapi.git
            python -c 'import mmcv; print(mmcv.__version__)'
      - run:
          name: Build and install
          command: |
            python setup.py check -m -s
            TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
      - run:
          name: Run unittests
          command: |
            pytest tests/

workflows:
  unit_tests:
    jobs:
      - lint
      - build_cpu:
          name: build_cpu_th1.6
          torch: 1.6.0
          torchvision: 0.7.0
          requires:
            - lint
      - build_cpu:
          name: build_cpu_th1.7
          torch: 1.7.0
          torchvision: 0.8.1
          requires:
            - lint
      - build_cpu:
          name: build_cpu_th1.8_py3.9
          torch: 1.8.0
          torchvision: 0.9.0
          python: "3.9.0"
          requires:
            - lint
      - build_cpu:
          name: build_cpu_th1.9_py3.8
          torch: 1.9.0
          torchvision: 0.10.0
          python: "3.8.12"
          requires:
            - lint
      - build_cpu:
          name: build_cpu_th1.9_py3.9
          torch: 1.9.0
          torchvision: 0.10.0
          python: "3.9.0"
          requires:
            - lint
      - build_cu101:
          requires:
            - build_cpu_th1.6
            - build_cpu_th1.7
            - build_cpu_th1.8_py3.9
            - build_cpu_th1.9_py3.8
            - build_cpu_th1.9_py3.9