mirror of
https://github.com/open-mmlab/mmengine.git
synced 2025-06-03 21:54:44 +08:00
222 lines
7.9 KiB
YAML
222 lines
7.9 KiB
YAML
name: build
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on:
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push:
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paths-ignore:
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- ".dev_scripts/**"
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- ".github/**.md"
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- "demo/**"
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- "docker/**"
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- "tools/**"
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- "README.md"
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- "README_zh-CN.md"
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pull_request:
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paths-ignore:
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- ".dev_scripts/**"
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- ".github/**.md"
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- "demo/**"
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- "docker/**"
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- "docs/**"
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- "docs_zh-CN/**"
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- "tools/**"
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- "README.md"
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- "README_zh-CN.md"
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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build_cpu:
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runs-on: ubuntu-18.04
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
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include:
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- torch: 1.5.1
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torchvision: 0.6.1
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mmcv: 1.5.0
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- torch: 1.6.0
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torchvision: 0.7.0
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mmcv: 1.6.0
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- torch: 1.7.0
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torchvision: 0.8.1
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mmcv: 1.7.0
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- torch: 1.8.0
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torchvision: 0.9.0
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mmcv: 1.8.0
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- torch: 1.9.0
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torchvision: 0.10.0
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mmcv: 1.9.0
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install Pillow
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run: pip install Pillow==6.2.2
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if: ${{matrix.torchvision == '0.4.2'}}
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install MMCV
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run: |
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pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.mmcv}}/index.html
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python -c 'import mmcv; print(mmcv.__version__)'
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- name: Install unittest dependencies
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run: |
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pip install -r requirements/tests.txt -r requirements/optional.txt
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pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
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pip install git+https://github.com/cocodataset/panopticapi.git
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- name: Build and install
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run: rm -rf .eggs && pip install -e .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmengine -m pytest tests/
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coverage xml
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coverage report -m
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build_cuda101:
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runs-on: ubuntu-18.04
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container:
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image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.5.1+cu101, 1.6.0+cu101, 1.7.0+cu101, 1.8.0+cu101]
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include:
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- torch: 1.5.1+cu101
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torch_version: torch1.5.1
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torchvision: 0.6.1+cu101
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mmcv: 1.5.0
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- torch: 1.6.0+cu101
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torch_version: torch1.6.0
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torchvision: 0.7.0+cu101
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mmcv: 1.6.0
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- torch: 1.7.0+cu101
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torch_version: torch1.7.0
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torchvision: 0.8.1+cu101
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mmcv: 1.7.0
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- torch: 1.8.0+cu101
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torch_version: torch1.8.0
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torchvision: 0.9.0+cu101
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mmcv: 1.8.0
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install system dependencies
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run: |
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apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 python${{matrix.python-version}}-dev
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apt-get clean
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rm -rf /var/lib/apt/lists/*
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- name: Install Pillow
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run: python -m pip install Pillow==6.2.2
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if: ${{matrix.torchvision < 0.5}}
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- name: Install PyTorch
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run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install dependencies for compiling onnx when python=3.9
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run: python -m pip install protobuf && apt-get install libprotobuf-dev protobuf-compiler
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if: ${{matrix.python-version == '3.9'}}
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- name: Install mmengine dependencies
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run: |
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python -V
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- name: Build and install
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run: |
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rm -rf .eggs
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python setup.py check -m -s
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TORCH_CUDA_ARCH_LIST=7.0 pip install .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmengine -m pytest tests/
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coverage xml
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coverage report -m
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- name: Upload coverage to Codecov
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uses: codecov/codecov-action@v1.0.10
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with:
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file: ./coverage.xml
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flags: unittests
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env_vars: OS,PYTHON
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name: codecov-umbrella
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fail_ci_if_error: false
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build_cuda102:
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runs-on: ubuntu-18.04
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container:
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image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
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strategy:
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matrix:
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python-version: [3.6, 3.7, 3.8, 3.9]
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torch: [1.9.0+cu102]
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include:
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- torch: 1.9.0+cu102
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torch_version: torch1.9.0
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torchvision: 0.10.0+cu102
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mmcv: 1.9.0
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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# Add ppa source repo for python3.9.
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- name: Add python3.9 source
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run: |
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apt-get update && apt-get install -y software-properties-common
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add-apt-repository -y ppa:deadsnakes/ppa
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if: ${{matrix.python-version == '3.9'}}
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# Install python-dev for some packages which require libpython3.Xm.
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# Github's setup-python cannot install python3.9-dev, so we have to use apt install.
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# Set DEBIAN_FRONTEND=noninteractive to avoid some interactions.
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- name: Install python-dev
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run: apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends python${{matrix.python-version}}-dev
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- name: Install system dependencies
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run: |
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apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
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apt-get clean
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rm -rf /var/lib/apt/lists/*
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- name: Install Pillow
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run: python -m pip install Pillow==6.2.2
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if: ${{matrix.torchvision < 0.5}}
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- name: Install PyTorch
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run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install dependencies for compiling onnx when python=3.9
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run: python -m pip install protobuf && apt-get update && apt-get -y install libprotobuf-dev protobuf-compiler cmake
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if: ${{matrix.python-version == '3.9'}}
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- name: Install mmengine dependencies
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run: |
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python -V
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python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch${{matrix.mmcv}}/index.html
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python -m pip install pycocotools
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python -m pip install -r requirements/tests.txt -r requirements/optional.txt
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python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
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python -m pip install git+https://github.com/cocodataset/panopticapi.git
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python -c 'import mmcv; print(mmcv.__version__)'
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- name: Build and install
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run: |
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rm -rf .eggs
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python setup.py check -m -s
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TORCH_CUDA_ARCH_LIST=7.0 pip install .
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmengine -m pytest tests/
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coverage xml
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coverage report -m
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- name: Upload coverage to Codecov
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uses: codecov/codecov-action@v2
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with:
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files: ./coverage.xml
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flags: unittests
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env_vars: OS,PYTHON
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name: codecov-umbrella
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fail_ci_if_error: false
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