mirror of https://github.com/open-mmlab/mim.git
134 lines
4.6 KiB
YAML
134 lines
4.6 KiB
YAML
name: build
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on:
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push:
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paths-ignore:
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- '**.md'
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- 'docs/**'
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- '.readthedocs.yml'
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- '.gitigore'
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- 'LICENSE'
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pull_request:
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paths-ignore:
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- '**.md'
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- 'docs/**'
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- '.readthedocs.yml'
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- '.gitigore'
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- 'LICENSE'
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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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test_linux:
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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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env:
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LC_ALL: C.UTF-8
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LANG: C.UTF-8
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.5.0+cu101, 1.8.0+cu101]
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include:
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- torch: 1.5.0+cu101
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torchvision: 0.6.0+cu101
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- torch: 1.8.0+cu101
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torchvision: 0.9.0+cu101
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- torch: 1.8.0+cu101
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torchvision: 0.9.0+cu101
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python-version: 3.6
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- torch: 1.8.0+cu101
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torchvision: 0.9.0+cu101
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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: ${{ matrix.python-version }}
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- name: Fetch GPG keys
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run: |
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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- name: Install python-dev
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run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
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if: ${{matrix.python-version != '3.9'}}
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- name: Install system dependencies
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run: apt-get install -y git libgl1 libglib2.0-0
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- name: Upgrade setuptools and pip
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run: python -m pip install --upgrade setuptools pip
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- name: Install wheel # wheel is the default package of local environment but docker environment misses the package so we manually install it
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run: python -m pip install wheel
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- name: Install PyTorch
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run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Build and install
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run: rm -rf .eggs && python -m pip install -e .
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- name: Validate the installation
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run: python -c "import mim"
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- name: Install unittest dependencies
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run: python -m pip install -r requirements/tests.txt
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source=mim -m pytest tests/
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coverage xml
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coverage report -m
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- name: Run unittests with click < 8.0.0
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run: |
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python -m pip install click==7.1.2
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pytest tests/
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if: ${{matrix.python-version == '3.8'}}
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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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test_windows:
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runs-on: windows-latest
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.5.0, 1.8.0]
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include:
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- torch: 1.5.0
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torchvision: 0.6.0
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- torch: 1.8.0
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torchvision: 0.9.0
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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: ${{ matrix.python-version }}
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- name: Upgrade setuptools
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run: pip install --upgrade setuptools
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- name: Install wheel # wheel is the default package of local environment but docker environment misses the package so we manually install it
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run: pip install wheel
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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- name: Build and install
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run: pip install -e .
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- name: Validate the installation
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run: python -c "import mim"
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- name: Install unittest dependencies
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run: pip install -r requirements/tests.txt
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- name: Run unittests and generate coverage report
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run: |
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coverage run --branch --source=mim -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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