Switch to the docker image provided by PyTorch (#1376)

.github/workflows/build.yml

@@ -32,7 +32,6 @@ jobs:
     strategy:
       matrix:
         python-version: [3.7]
-
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
@@ -41,8 +40,6 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - name: Install system dependencies
         run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
-      - name: Install utils
-        run: pip install psutil
       - name: Build and install
         run: rm -rf .eggs && pip install -e .
       - name: Validate the installation
@@ -75,8 +72,6 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - name: Install system dependencies
         run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
-      - name: Install utils
-        run: pip install psutil
       - name: Install PyTorch
         run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
       - name: Build and install
@@ -93,12 +88,8 @@ jobs:
     strategy:
       matrix:
         python-version: [3.7]
-        torch: [1.3.1, 1.4.0, 1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
+        torch: [1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
         include:
-          - torch: 1.3.1
-            torchvision: 0.4.2
-          - torch: 1.4.0
-            torchvision: 0.5.0
           - torch: 1.5.1
             torchvision: 0.6.1
           - torch: 1.6.0
@@ -117,13 +108,11 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - name: Install system dependencies
         run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
-      - name: Install utils
-        run: pip install psutil
-      - name: Install Pillow
-        run: pip install Pillow==6.2.2
-        if: ${{matrix.torchvision == '0.4.2'}}
       - name: Install PyTorch
         run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
+      # pstuil is an optional package to detect the number of CPU for compiling mmcv
+      - name: Install psutil
+        run: pip install psutil
       - name: Build and install
         run: rm -rf .eggs && pip install -e .
       - name: Validate the installation
@@ -137,10 +126,9 @@ jobs:
 
   build_cu101:
     runs-on: ubuntu-18.04
+    container:
+      image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
     env:
-      CUDA: 10.1.105-1
-      CUDA_SHORT: 10.1
-      UBUNTU_VERSION: ubuntu1804
       FORCE_CUDA: 1
       MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
     strategy:
@@ -167,48 +155,38 @@ jobs:
           - python-version: 3.9
             torch: 1.8.0+cu101
             torchvision: 0.9.0+cu101
-
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
-      - name: Install CUDA
-        run: |
-          export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
-          wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
-          sudo dpkg -i ${INSTALLER}
-          wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
-          sudo apt-key add 7fa2af80.pub
-          sudo apt update -qq
-          sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
-          sudo apt clean
-          export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
-          sudo cp /usr/local/cuda-10.2/include/* /usr/local/cuda/include
-          sudo cp -r /usr/local/cuda-10.2/lib64/* /usr/local/cuda/lib64/
-          export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
-          export PATH=${CUDA_HOME}/bin:${PATH}
-          sudo apt-get install -y ninja-build
-      - name: Install utils
-        run: pip install psutil
+      - name: Install python-dev
+        run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
+        if: ${{matrix.python-version != '3.9'}}
       - name: Install Pillow
-        run: pip install Pillow==6.2.2
+        run: python -m pip install Pillow==6.2.2
         if: ${{matrix.torchvision == '0.4.2'}}
+      # When we use a third-party container, we need to add python -m to call
+      # the user-installed pip when we use the pip command, otherwise it will
+      # call the system pip
       - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
+        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
       - name: Install system dependencies
-        run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
+        run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
       - name: Install dependencies for compiling onnx when python=3.9
-        run: pip install protobuf && sudo apt-get install libprotobuf-dev protobuf-compiler
+        run: python -m pip install protobuf && apt-get -y install libprotobuf-dev protobuf-compiler cmake
         if: ${{matrix.python-version == '3.9'}}
+      # pstuil is an optional package to detect the number of CPU for compiling mmcv
+      - name: Install psutil
+        run: python -m pip install psutil
       - name: Build and install
-        run: rm -rf .eggs && pip install -e .
+        run: rm -rf .eggs && python -m pip install -e .
       - name: Validate the installation
         run: python -c "import mmcv"
       - name: Run unittests and generate coverage report
         run: |
-          pip install -r requirements/test.txt
+          python -m pip install -r requirements/test.txt
           coverage run --branch --source=mmcv -m pytest tests/
           coverage xml
           coverage report -m
@@ -225,10 +203,9 @@ jobs:
 
   build_cu102:
     runs-on: ubuntu-18.04
+    container:
+      image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
     env:
-      CUDA: 10.2.89-1
-      CUDA_SHORT: 10.2
-      UBUNTU_VERSION: ubuntu1804
       FORCE_CUDA: 1
       MMCV_CUDA_ARGS: -gencode=arch=compute_61,code=sm_61
     strategy:
@@ -244,44 +221,30 @@ jobs:
           - python-version: 3.8
             torch: 1.9.0+cu102
             torchvision: 0.10.0+cu102
-
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
-      - name: Install CUDA
-        run: |
-          export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${CUDA}_amd64.deb
-          wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
-          sudo dpkg -i ${INSTALLER}
-          wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
-          sudo apt-key add 7fa2af80.pub
-          sudo apt update -qq
-          sudo apt install -y cuda-${CUDA_SHORT/./-} cuda-cufft-dev-${CUDA_SHORT/./-}
-          sudo apt clean
-          export CUDA_HOME=/usr/local/cuda-${CUDA_SHORT}
-          export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
-          export PATH=${CUDA_HOME}/bin:${PATH}
-          sudo apt-get install -y ninja-build
-      - name: Install Pillow
-        run: pip install Pillow==6.2.2
-        if: ${{matrix.torchvision == '0.4.2'}}
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
+      - name: Install python-dev
+        run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
+      - name: python -m Install PyTorch
+        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
       - name: Install system dependencies
-        run: sudo apt-get update && sudo apt-get install -y ffmpeg libturbojpeg
+        run: apt-get update && apt-get install -y ffmpeg libturbojpeg ninja-build
+      # pstuil is an optional package to detect the number of CPU for compiling mmcv
+      - name: Install psutil
+        run: python -m pip install psutil
       - name: Build and install
-        run: rm -rf .eggs && pip install -e .
+        run: rm -rf .eggs && python -m pip install -e .
       - name: Validate the installation
         run: python -c "import mmcv"
       - name: Run unittests and generate coverage report
         run: |
-          pip install -r requirements/test.txt
+          python -m pip install -r requirements/test.txt
           coverage run --branch --source=mmcv -m pytest tests/
           coverage xml
-          coverage report -m
 
   build_windows_without_ops:
     runs-on: windows-latest
@@ -303,9 +266,6 @@ jobs:
         uses: actions/setup-python@v2
         with:
           python-version: 3.7
-      - name: Install Pillow
-        run: pip install Pillow==6.2.2
-        if: ${{matrix.torchvision == '0.4.2'}}
       - name: Install PyTorch
         run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu --no-cache-dir -f https://download.pytorch.org/whl/torch_stable.html
       - name: Build and install
@@ -335,9 +295,6 @@ jobs:
         uses: actions/setup-python@v2
         with:
           python-version: 3.7
-      - name: Install Pillow
-        run: pip install Pillow==6.2.2
-        if: ${{matrix.torchvision == '0.4.2'}}
       - name: Install PyTorch
         run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu --no-cache-dir -f https://download.pytorch.org/whl/torch_stable.html
       - name: Build and install