mirror of https://github.com/open-mmlab/mmcv.git
Switch to the docker image provided by PyTorch (#1376)
parent
8cac7c25ee
commit
c934605e83
.github/workflows
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@ -32,7 +32,6 @@ jobs:
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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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@ -41,8 +40,6 @@ jobs:
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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 utils
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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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@ -75,8 +72,6 @@ jobs:
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python-version: ${{ matrix.python-version }}
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- name: Install system dependencies
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run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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- name: Install utils
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run: pip install psutil
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- name: Install PyTorch
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run: pip install torch==${{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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@ -93,12 +88,8 @@ jobs:
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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, 1.4.0, 1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
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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: 1.3.1
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torchvision: 0.4.2
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- torch: 1.4.0
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torchvision: 0.5.0
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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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@ -117,13 +108,11 @@ jobs:
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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 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}}+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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@ -137,10 +126,9 @@ jobs:
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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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CUDA: 10.1.105-1
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CUDA_SHORT: 10.1
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UBUNTU_VERSION: ubuntu1804
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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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@ -167,48 +155,38 @@ jobs:
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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: ${{ matrix.python-version }}
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- name: Install CUDA
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run: |
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export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
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wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
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sudo dpkg -i ${INSTALLER}
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wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
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sudo apt-key add 7fa2af80.pub
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sudo apt update -qq
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sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
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sudo apt clean
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export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
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sudo cp /usr/local/cuda-10.2/include/* /usr/local/cuda/include
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sudo cp -r /usr/local/cuda-10.2/lib64/* /usr/local/cuda/lib64/
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export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
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export PATH=${CUDA_HOME}/bin:${PATH}
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sudo apt-get install -y ninja-build
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- name: Install utils
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run: pip install psutil
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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: pip install Pillow==6.2.2
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run: python -m pip install Pillow==6.2.2
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if: ${{matrix.torchvision == '0.4.2'}}
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# When we use a third-party container, we need to add python -m to call
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# the user-installed pip when we use the pip command, otherwise it will
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# call the system pip
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- name: Install PyTorch
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run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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run: python -m pip install torch==${{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: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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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: pip install protobuf && sudo apt-get install libprotobuf-dev protobuf-compiler
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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 && pip install -e .
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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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pip install -r requirements/test.txt
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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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@ -225,10 +203,9 @@ jobs:
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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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CUDA: 10.2.89-1
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CUDA_SHORT: 10.2
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UBUNTU_VERSION: ubuntu1804
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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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@ -244,44 +221,30 @@ jobs:
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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: ${{ matrix.python-version }}
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- name: Install CUDA
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run: |
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export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
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wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
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sudo dpkg -i ${INSTALLER}
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wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
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sudo apt-key add 7fa2af80.pub
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sudo apt update -qq
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sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
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sudo apt clean
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export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
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export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
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export PATH=${CUDA_HOME}/bin:${PATH}
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sudo apt-get install -y ninja-build
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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==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
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- name: Install python-dev
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run: apt-get update && apt-get install -y python${{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: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
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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 && pip install -e .
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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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pip install -r requirements/test.txt
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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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build_windows_without_ops:
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runs-on: windows-latest
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@ -303,9 +266,6 @@ jobs:
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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 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 --no-cache-dir -f https://download.pytorch.org/whl/torch_stable.html
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- name: Build and install
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@ -335,9 +295,6 @@ jobs:
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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 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 --no-cache-dir -f https://download.pytorch.org/whl/torch_stable.html
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- name: Build and install
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