mmcv/.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

  build_cpu:
    parameters:
      # The python version must match available image tags in
      # https://circleci.com/developer/images/image/cimg/python
      python:
        type: string
        default: "3.7.0"
      torch:
        type: string
      torchvision:
        type: string
    machine:
      image: ubuntu-2004:202010-01
    resource_class: large
    steps:
      - checkout
      - run:
          name: Install system dependencies
          command: |
            sudo apt-get update
            sudo apt-get install -y ffmpeg libturbojpeg ninja-build
            ffmpeg -version
      - run:
          # https://github.com/pytorch/vision/issues/2921
          name: Install dependency of torchvision when using pyenv
          command: sudo apt-get install -y liblzma-dev
      - run:
          # python3.7 should be re-installed due to the issue https://github.com/pytorch/vision/issues/2921
          name: Select Python
          command: |
            pyenv uninstall -f << parameters.python >>
            pyenv install << parameters.python >>
            pyenv global << parameters.python >>
      - run:
          name: Upgrade pip
          command: |
            python -m pip install pip --upgrade
      - run:
          name: Install PyTorch
          command: python -m pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html
      - run:
          name: Install psutil
          command: python -m pip install psutil
      - run:
          name: Build and install
          command: |
            rm -rf .eggs
            python setup.py check -m -s
            python -m pip install -e .
          no_output_timeout: 20m
          environment:
            MMCV_WITH_OPS: 1
      - run:
          name: Install dependencies of unit test
          command: |
            python -m pip install -r requirements/test.txt
      - run:
          name: Run unittests and generate coverage report
          command: |
            python -m coverage run --branch --source mmcv -m pytest tests/
            python -m coverage xml
            python -m coverage report -m

  build_cu102:
    machine:
      image: ubuntu-1604-cuda-10.1:201909-23  # the actual version of cuda is 10.2
    resource_class: gpu.nvidia.small
    steps:
      - checkout
      - run:
          name: Set CUDA environment
          command: |
            echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' >> $BASH_ENV
            echo 'export PATH=/usr/local/cuda/bin:$PATH' >> $BASH_ENV
            echo 'export CUDA_HOME=/usr/local/cuda' >> $BASH_ENV
            source $BASH_ENV
            nvidia-smi
            nvcc --version
            gcc --version
      - run:
          name: Install system dependencies
          command: |
            sudo apt-get update
            sudo apt-get install -y libturbojpeg ninja-build
            # the default version of ffmpeg is 2.8.7, which should be upgraded to 4+
            sudo add-apt-repository -y ppa:jonathonf/ffmpeg-4
            sudo apt-get update
            sudo apt-get install -y ffmpeg
            ffmpeg -version
            sudo add-apt-repository --remove ppa:jonathonf/ffmpeg-4 -y
      - run:
          # https://github.com/pytorch/vision/issues/2921
          name: Install dependency of torchvision when using pyenv
          command: sudo apt-get install -y liblzma-dev
      - run:
          # python3.7 should be re-installed due to the issue https://github.com/pytorch/vision/issues/2921
          name: Select python3.7
          command: |
            pyenv uninstall -f 3.7.0
            pyenv install 3.7.0
            pyenv global 3.7.0
      - run:
          name: Upgrade pip
          command: |
            python -m pip install pip --upgrade
      - run:
          name: Install PyTorch
          command: python -m pip install torch==1.8.1+cu102 torchvision==0.9.1+cu102 -f https://download.pytorch.org/whl/torch_stable.html
      - run:
          name: Install psutil
          command: python -m pip install psutil
      - run:
          name: Download onnxruntime library and install onnxruntime
          command: |
            wget https://github.com/microsoft/onnxruntime/releases/download/v1.8.1/onnxruntime-linux-x64-1.8.1.tgz
            tar -zxvf onnxruntime-linux-x64-1.8.1.tgz
            echo 'export ONNXRUNTIME_DIR=$(pwd)/onnxruntime-linux-x64-1.8.1' >> $BASH_ENV
            echo 'export LD_LIBRARY_PATH=$ONNXRUNTIME_DIR/lib:$LD_LIBRARY_PATH' >> $BASH_ENV
            source $BASH_ENV
            python -m pip install onnxruntime==1.8.1
      - run:
          name: Build and install
          command: |
            rm -rf .eggs
            python setup.py check -m -s
            python -m pip install -e .
          environment:
            MMCV_WITH_OPS: 1
            MMCV_WITH_ORT: 1
      - run:
          name: Install dependencies for unit test
          command: |
            python -m pip install -r requirements/test.txt
      - run:
          name: Run unittests and generate coverage report
          command: |
            python -m coverage run --branch --source mmcv -m pytest tests/
            python -m coverage xml
            python -m coverage report -m
workflows:
  unit_tests:
    jobs:
      - lint
      - build_cpu:
          name: build_py3.8_pt1.9_cpu
          torch: 1.9.0
          torchvision: 0.10.0
          python: "3.8.0"
          requires:
            - lint
      - hold:
          type: approval # <<< This key-value pair will set your workflow to a status of "On Hold"
          requires:
            - build_py3.8_pt1.9_cpu
      - build_cu102:
          requires:
            - hold