131 lines
4.2 KiB
YAML
131 lines
4.2 KiB
YAML
# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: build
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on:
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push:
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paths-ignore:
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- 'README.md'
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- 'README_zh-CN.md'
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- 'docs/**'
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- 'model-index.yml'
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- 'configs/**.md'
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pull_request:
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paths-ignore:
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- 'README.md'
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- 'README_zh-CN.md'
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- 'docs/**'
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- 'model-index.yml'
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- 'configs/**.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:
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runs-on: ubuntu-latest
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env:
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UBUNTU_VERSION: ubuntu1804
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.6.0, 1.7.0, 1.8.0, 1.9.0]
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include:
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- torch: 1.6.0
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torch_version: 1.6
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torchvision: 0.7.0
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- torch: 1.7.0
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torch_version: 1.7
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torchvision: 0.8.1
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- torch: 1.7.0
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torch_version: 1.7
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torchvision: 0.8.1
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python-version: 3.8
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- torch: 1.8.0
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torch_version: 1.8
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torchvision: 0.9.0
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- torch: 1.8.0
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torch_version: 1.8
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torchvision: 0.9.0
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python-version: 3.8
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- torch: 1.9.0
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torch_version: 1.9
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torchvision: 0.10.0
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- torch: 1.9.0
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torch_version: 1.9
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torchvision: 0.10.0
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python-version: 3.8
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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: ${{ matrix.python-version }}
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- name: Install PyTorch
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run: pip install --use-deprecated=legacy-resolver torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install MMCV
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run: |
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pip install --use-deprecated=legacy-resolver mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch_version}}/index.html
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python -c 'import mmcv; print(mmcv.__version__)'
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- name: Install mmselfsup dependencies
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run: |
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pip install -r requirements.txt
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- name: Build and install
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run: |
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rm -rf .eggs
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pip install -e . -U
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source mmselfsup -m pytest tests/
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coverage xml
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coverage report -m
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# Only upload coverage report for python3.8 && pytorch1.9.0
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- name: Upload coverage to Codecov
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if: ${{matrix.torch == '1.9.0' && matrix.python-version == '3.8'}}
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uses: codecov/codecov-action@v2
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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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test_windows:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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os: [windows-2022]
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python: [3.8]
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platform: [cpu, cu111]
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python }}
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- name: Install PyTorch
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# As a complement to Linux CI, we test on PyTorch LTS version
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run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
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- name: Install OpenCV
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run: |
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pip install opencv-python>=3
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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/torch1.8/index.html --only-binary mmcv-full
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- name: Install unittest dependencies
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run: |
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pip install -r requirements.txt
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- name: Build and install
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run: pip install -e .
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- name: Run unittests
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run: |
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coverage run --branch --source mmselfsup -m pytest tests/
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- name: Generate coverage report
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run: |
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coverage xml
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coverage report -m --omit="mmselfsup/apis/*"
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