mmclassification/.circleci/test.yml

# Use the latest 2.1 version of CircleCI pipeline process engine.
# See: https://circleci.com/docs/2.0/configuration-reference
version: 2.1

# the default pipeline parameters, which will be updated according to
# the results of the path-filtering orb
parameters:
  lint_only:
    type: boolean
    default: true

# Define a job to be invoked later in a workflow.
# See: https://circleci.com/docs/2.0/configuration-reference/#jobs
jobs:
  lint:
    docker:
      - image: cimg/python:3.7.4
    # Add steps to the job
    # See: https://circleci.com/docs/2.0/configuration-reference/#steps
    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-magic --ignore-regex "__repr__" --fail-under 60 mmpretrain
  build_cpu_with_3rdparty:
    parameters:
      # The python version must match available image tags in
      # https://circleci.com/developer/images/image/cimg/python
      python:
        type: string
      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 libjpeg8-dev zlib1g-dev
      - 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
      - run:
          name: Install mmpretrain dependencies
          command: |
            pip install git+https://github.com/open-mmlab/mmengine.git@main
            pip install -U openmim
            mim install 'mmcv >= 2.0.0rc4'
            pip install timm
            pip install transformers
            pip install -r requirements.txt
            python -c 'import mmcv; print(mmcv.__version__)'
      - run:
          name: Build and install
          command: |
            pip install -e .
      - run:
          name: Run unittests
          command: |
            coverage run --branch --source mmpretrain -m pytest tests/
            coverage xml
            coverage report -m

  build_cpu:
    parameters:
      # The python version must match available image tags in
      # https://circleci.com/developer/images/image/cimg/python
      python:
        type: string
      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 libjpeg8-dev zlib1g-dev
      - 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
      - run:
          name: Install mmpretrain dependencies
          command: |
            pip install git+https://github.com/open-mmlab/mmengine.git@main
            pip install -U openmim
            mim install 'mmcv >= 2.0.0rc4'
            pip install -r requirements.txt
            python -c 'import mmcv; print(mmcv.__version__)'
      - run:
          name: Build and install
          command: |
            pip install -e .
      - run:
          name: Run unittests
          command: |
            coverage run --branch --source mmpretrain -m pytest tests/
            coverage xml
            coverage report -m

  build_cuda:
    machine:
      image: ubuntu-2004-cuda-11.4:202110-01
    resource_class: gpu.nvidia.small
    environment:
      MKL_SERVICE_FORCE_INTEL: 1
    parameters:
      torch:
        type: string
      cuda:
        type: enum
        enum: ["11.1", "11.7"]
      cudnn:
        type: integer
        default: 8
    steps:
      - checkout
      - run:
          # Cloning repos in VM since Docker doesn't have access to the private key
          name: Clone Repos
          command: |
            git clone -b main --depth 1 https://github.com/open-mmlab/mmengine.git /home/circleci/mmengine
      - run:
          name: Build Docker image
          command: |
            docker build .circleci/docker -t mmpretrain:gpu --build-arg PYTORCH=<< parameters.torch >> --build-arg CUDA=<< parameters.cuda >> --build-arg CUDNN=<< parameters.cudnn >>
            docker run --gpus all -t -d -v /home/circleci/project:/mmpretrain -v /home/circleci/mmengine:/mmengine -w /mmpretrain --name mmpretrain mmpretrain:gpu
      - run:
          name: Install mmpretrain dependencies
          command: |
            docker exec mmpretrain pip install -e /mmengine
            docker exec mmpretrain pip install -U openmim
            docker exec mmpretrain mim install 'mmcv >= 2.0.0rc4'
            docker exec mmpretrain pip install -r requirements.txt
            docker exec mmpretrain python -c 'import mmcv; print(mmcv.__version__)'
      - run:
          name: Build and install
          command: |
            docker exec mmpretrain pip install -e .
      - run:
          name: Run unittests
          command: |
            docker exec mmpretrain python -m pytest tests/

# Invoke jobs via workflows
# See: https://circleci.com/docs/2.0/configuration-reference/#workflows
workflows:
  pr_stage_lint:
    when: << pipeline.parameters.lint_only >>
    jobs:
      - lint:
          name: lint
          filters:
            branches:
              ignore:
                - dev
                - main
  pr_stage_test:
    when:
      not:
        << pipeline.parameters.lint_only >>
    jobs:
      - lint:
          name: lint
          filters:
            branches:
              ignore:
                - dev
      - build_cpu:
          name: minimum_version_cpu
          torch: 1.8.0
          torchvision: 0.9.0
          python: 3.7.16
          requires:
            - lint
      - build_cpu_with_3rdparty:
          name: maximum_version_cpu
          torch: 2.0.0
          torchvision: 0.15.1
          python: 3.10.0
          requires:
            - minimum_version_cpu
      - hold:
          type: approval
          requires:
            - maximum_version_cpu
      - build_cuda:
          name: mainstream_version_gpu
          torch: 1.8.1
          # Use double quotation mark to explicitly specify its type
          # as string instead of number
          cuda: "11.1"
          requires:
            - hold
      - build_cuda:
          name: maximum_version_gpu
          torch: 2.0.0
          cuda: "11.7"
          cudnn: 8
          requires:
            - hold
  merge_stage_test:
    when:
      not:
        << pipeline.parameters.lint_only >>
    jobs:
      - build_cuda:
          name: minimum_version_gpu
          torch: 1.8.0
          # Use double quotation mark to explicitly specify its type
          # as string instead of number
          cuda: "11.1"
          filters:
            branches:
              only:
                - pretrain