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 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 torch: type: string torchvision: type: string docker: - image: cimg/python:<< parameters.python >> resource_class: large steps: - checkout - run: name: Get MMCV_TORCH as environment variables command: | . .circleci/scripts/get_mmcv_var.sh << parameters.torch >> source $BASH_ENV - run: name: Install Libraries command: | sudo apt-get update sudo apt-get install -y ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx libjpeg-dev zlib1g-dev libtinfo-dev libncurses5 libgeos-dev cmake git - run: name: Configure Python & pip command: | python -m pip install --upgrade pip python -m pip install wheel - run: name: Install PyTorch command: | python -V python -m pip install torch==<< parameters.torch >>+cpu torchvision==<< parameters.torchvision >>+cpu -f https://download.pytorch.org/whl/torch_stable.html - run: name: Install mmdet dependencies command: | python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${MMCV_TORCH}/index.html python -m pip install -r requirements.txt python -m pip install albumentations --no-binary qudida,albumentations python -m pip install git+https://github.com/cocodataset/panopticapi.git - run: name: Build and install command: | python -m pip install -e . - run: name: Run unittests command: | python -m coverage run --branch --source mmdet -m pytest tests/ python -m coverage xml python -m coverage report -m build_cuda: parameters: torch: type: string cuda: type: enum enum: ["10.1", "10.2", "11.1"] cudnn: type: integer default: 7 machine: image: ubuntu-2004-cuda-11.4:202110-01 docker_layer_caching: true resource_class: gpu.nvidia.small steps: - checkout - run: name: Get MMCV_TORCH and MMCV_CUDA as environment variables command: | . .circleci/scripts/get_mmcv_var.sh << parameters.torch >> << parameters.cuda >> source $BASH_ENV - run: name: Build Docker image command: | docker build .circleci/docker -t mmdet:gpu --build-arg PYTORCH=<< parameters.torch >> --build-arg CUDA=<< parameters.cuda >> --build-arg CUDNN=<< parameters.cudnn >> docker run --gpus all -t -d -v /home/circleci/project:/mmdet -w /mmdet --name mmdet mmdet:gpu - run: name: Install mmdet dependencies command: | docker exec mmdet pip install --upgrade pip docker exec mmdet pip install wheel docker exec mmdet pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/${MMCV_CUDA}/torch${MMCV_TORCH}/index.html docker exec mmdet pip install -r requirements.txt docker exec mmdet pip install typing-extensions -U docker exec mmdet pip install albumentations --use-pep517 qudida albumentations docker exec mmdet python -c 'import albumentations; print(albumentations.__version__)' docker exec mmdet pip install git+https://github.com/cocodataset/panopticapi.git - run: name: Build and install command: | docker exec mmdet pip install -e . - run: name: Run unittests command: | docker exec mmdet python -m pytest tests/ workflows: pr_stage_lint: when: << pipeline.parameters.lint_only >> jobs: - lint: name: lint filters: branches: ignore: - master pr_stage_test: when: not: << pipeline.parameters.lint_only >> jobs: - lint: name: lint filters: branches: ignore: - master - build_cpu: name: minimum_version_cpu torch: 1.6.0 torchvision: 0.7.0 python: 3.7.7 requires: - lint - build_cpu: name: maximum_version_cpu torch: 1.9.0 torchvision: 0.10.0 python: 3.8.0 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: "10.2" requires: - hold merge_stage_test: when: not: << pipeline.parameters.lint_only >> jobs: - build_cuda: name: minimum_version_gpu torch: 1.6.0 # Use double quotation mark to explicitly specify its type # as string instead of number cuda: "10.1" filters: branches: only: - master