mirror of https://github.com/open-mmlab/mmcv.git
353 lines
13 KiB
YAML
353 lines
13 KiB
YAML
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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- 'examples/**'
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- '.dev_scripts/**'
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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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- 'examples/**'
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- '.dev_scripts/**'
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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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env:
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MMCV_WITH_OPS: 1
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jobs:
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build_without_torch:
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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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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: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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- name: Build and install
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run: rm -rf .eggs && pip install -e .
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- name: Validate the installation
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run: python -c "import mmcv"
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- name: Run unittests and generate coverage report
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run: |
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pip install -r requirements/test.txt
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pytest tests/ --ignore=tests/test_runner --ignore=tests/test_optimizer.py --ignore=tests/test_cnn --ignore=tests/test_parallel.py --ignore=tests/test_ops --ignore=tests/test_load_model_zoo.py --ignore=tests/test_utils/test_logging.py --ignore=tests/test_image/test_io.py --ignore=tests/test_utils/test_registry.py --ignore=tests/test_utils/test_parrots_jit.py --ignore=tests/test_utils/test_trace.py --ignore=tests/test_utils/test_hub.py
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build_without_ops:
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runs-on: ubuntu-18.04
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env:
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MMCV_WITH_OPS: 0
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.7.0, 1.8.0, 1.9.0]
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include:
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- torch: 1.7.0
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torchvision: 0.8.1
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- torch: 1.8.0
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torchvision: 0.9.0
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- torch: 1.9.0
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torchvision: 0.10.0
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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: ${{ matrix.python-version }}
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- name: Install system dependencies
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run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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- name: Install PyTorch
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run: pip install torch==${{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: rm -rf .eggs && pip install -e .
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- name: Validate the installation
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run: python -c "import mmcv"
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- name: Run unittests
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run: |
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pip install -r requirements/test.txt
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pytest tests/ --ignore=tests/test_ops
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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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- torch: 1.6.0
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torchvision: 0.7.0
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- torch: 1.7.0
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torchvision: 0.8.1
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- torch: 1.8.0
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torchvision: 0.9.0
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- torch: 1.9.0
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torchvision: 0.10.0
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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: ${{ matrix.python-version }}
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- name: Install system dependencies
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run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
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# pstuil is an optional package to detect the number of CPU for compiling mmcv
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- name: Install psutil
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run: pip install psutil
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- name: Build and install
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run: rm -rf .eggs && pip install -e .
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- name: Validate the installation
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run: python -c "import mmcv"
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- name: Run unittests and generate coverage report
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run: |
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pip install -r requirements/test.txt
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coverage run --branch --source=mmcv -m pytest tests/
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coverage xml
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coverage report -m
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build_cu101:
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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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FORCE_CUDA: 1
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MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.3.1, 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: 1.3.1
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torchvision: 0.4.2
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- torch: 1.5.1+cu101
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torchvision: 0.6.1+cu101
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- torch: 1.6.0+cu101
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torchvision: 0.7.0+cu101
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- torch: 1.7.0+cu101
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torchvision: 0.8.1+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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torch: 1.8.0+cu101
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torchvision: 0.9.0+cu101
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- python-version: 3.9
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torch: 1.8.0+cu101
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torchvision: 0.9.0+cu101
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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: ${{ matrix.python-version }}
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- name: Install python-dev
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run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
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if: ${{matrix.python-version != '3.9'}}
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- name: Install Pillow
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run: python -m pip install Pillow==6.2.2
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if: ${{matrix.torchvision == '0.4.2'}}
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# When we use a third-party container, we need to add python -m to call
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# the user-installed pip when we use the pip command, otherwise it will
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# call the system pip
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- name: Install PyTorch
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run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install system dependencies
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run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
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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 -y install libprotobuf-dev protobuf-compiler cmake
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if: ${{matrix.python-version == '3.9'}}
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# pstuil is an optional package to detect the number of CPU for compiling mmcv
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- name: Install psutil
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run: python -m pip install psutil
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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 mmcv"
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- name: Run unittests and generate coverage report
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run: |
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python -m pip install -r requirements/test.txt
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coverage run --branch --source=mmcv -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 python3.7 && pytorch1.6
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- name: Upload coverage to Codecov
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if: ${{matrix.torch == '1.6.0+cu101' && matrix.python-version == '3.7'}}
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uses: codecov/codecov-action@v1.0.14
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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_cu102:
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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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env:
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FORCE_CUDA: 1
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MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
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strategy:
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matrix:
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python-version: [3.7]
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torch: [1.9.0+cu102, 1.10.0+cu102]
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include:
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- torch: 1.9.0+cu102
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torchvision: 0.10.0+cu102
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- torch: 1.10.0+cu102
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torchvision: 0.11.0+cu102
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- python-version: 3.6
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torch: 1.9.0+cu102
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torchvision: 0.10.0+cu102
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- python-version: 3.8
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torch: 1.9.0+cu102
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torchvision: 0.10.0+cu102
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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: ${{ matrix.python-version }}
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- name: Install python-dev
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run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
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- name: python -m 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 system dependencies
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run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
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# pstuil is an optional package to detect the number of CPU for compiling mmcv
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- name: Install psutil
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run: python -m pip install psutil
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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 mmcv"
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- name: Run unittests and generate coverage report
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run: |
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python -m pip install -r requirements/test.txt
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coverage run --branch --source=mmcv -m pytest tests/
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coverage xml
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build_windows_without_ops:
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runs-on: windows-latest
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env:
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MMCV_WITH_OPS: 0
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strategy:
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matrix:
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torch: [1.7.1, 1.8.0, 1.9.0]
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include:
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- torch: 1.7.1
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torchvision: 0.8.2
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- torch: 1.8.0
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torchvision: 0.9.0
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- torch: 1.9.0
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torchvision: 0.10.0
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.7
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uses: actions/setup-python@v2
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with:
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python-version: 3.7
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu --no-cache-dir -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 mmcv"
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- name: Run unittests
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run: |
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pip install -r requirements/test.txt
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pytest tests/ --ignore=tests/test_ops --ignore tests/test_utils/test_progressbar.py --ignore tests/test_utils/test_timer.py --ignore tests/test_image/test_io.py
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build_windows:
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runs-on: windows-latest
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strategy:
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matrix:
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torch: [1.7.1, 1.8.0, 1.9.0]
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include:
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- torch: 1.7.1
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torchvision: 0.8.2
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- torch: 1.8.0
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torchvision: 0.9.0
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- torch: 1.9.0
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torchvision: 0.10.0
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.7
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uses: actions/setup-python@v2
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with:
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python-version: 3.7
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu --no-cache-dir -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 mmcv"
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- name: Run unittests
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run: |
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pip install -r requirements/test.txt
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pytest tests/ --ignore tests/test_utils/test_progressbar.py --ignore tests/test_utils/test_timer.py --ignore tests/test_image/test_io.py
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build_macos:
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runs-on: macos-latest
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strategy:
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matrix:
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torch: [1.3.1, 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: 1.3.1
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torchvision: 0.4.2
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- torch: 1.5.1
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torchvision: 0.6.1
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- torch: 1.6.0
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torchvision: 0.7.0
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- torch: 1.7.0
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torchvision: 0.8.1
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- torch: 1.8.0
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torchvision: 0.9.0
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- torch: 1.9.0
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torchvision: 0.10.0
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python 3.7
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uses: actions/setup-python@v2
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with:
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python-version: 3.7
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- name: Install system dependencies
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run: brew install ffmpeg jpeg-turbo
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- name: Install utils
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run: pip install psutil
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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}} torchvision==${{matrix.torchvision}} --no-cache-dir
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- name: Build and install
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run: |
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rm -rf .eggs
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CC=clang CXX=clang++ CFLAGS='-stdlib=libc++' pip install -e .
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- name: Validate the installation
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run: python -c "import mmcv"
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- name: Run unittests
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run: |
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pip install -r requirements/test.txt
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# The timing on macos VMs is not precise, so we skip the progressbar tests
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pytest tests/ --ignore tests/test_utils/test_progressbar.py --ignore tests/test_utils/test_timer.py
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