[Enhancement] Using docker to skip CUDA installation in CI (#882)

* Use docker to skip CUDA installation in CI

* Update .github/workflows/build.yml

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* Remove Install system dependencies

* Add Install system dependencies for cuda usage

* Add Install system dependencies and requirements

* fix requirements error

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

.github/workflows/build.yml

@@ -8,7 +8,7 @@ jobs:
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python 3.7
-        uses: actions/setup-python@v1
+        uses: actions/setup-python@v2
         with:
           python-version: 3.7
       - name: Install pre-commit hook
@@ -17,25 +17,36 @@ jobs:
           pre-commit install
       - name: Linting
         run: pre-commit run --all-files
-      - name: Check docstring
+      - name: Check docstring coverage
         run: |
           pip install interrogate
           interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --exclude mmseg/ops --ignore-regex "__repr__" --fail-under 80 mmseg
+
   build_cpu:
     runs-on: ubuntu-18.04
     strategy:
       matrix:
         python-version: [3.7]
-        torch: [1.3.0, 1.5.0, 1.7.0, 1.9.0]
+        torch: [1.3.1, 1.5.1, 1.6.0, 1.7.0, 1.8.0, 1.9.0]
         include:
-          - torch: 1.3.0
+          - torch: 1.3.1
-            torchvision: 0.4.1
+            torchvision: 0.4.2
-          - torch: 1.5.0
+            mmcv: "latest+torch1.3.0+cpu"
-            torchvision: 0.6.0
+          - torch: 1.5.1
+            torchvision: 0.6.1
+            mmcv: "latest+torch1.5.0+cpu"
+          - torch: 1.6.0
+            torchvision: 0.7.0
+            mmcv: "latest+torch1.6.0+cpu"
           - torch: 1.7.0
             torchvision: 0.8.1
+            mmcv: "latest+torch1.7.0+cpu"
+          - torch: 1.8.0
+            torchvision: 0.9.0
+            mmcv: "latest+torch1.8.0+cpu"
           - torch: 1.9.0
             torchvision: 0.10.0
+            mmcv: "latest+torch1.9.0+cpu"
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
@@ -45,15 +56,17 @@ jobs:
       - name: Upgrade pip
         run: pip install pip --upgrade
       - name: Install Pillow
-        if: ${{matrix.torchvision == '0.4.1'}}
         run: pip install Pillow==6.2.2
+        if: ${{matrix.torchvision == '0.4.2'}}
       - name: Install PyTorch
         run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
-      - name: Install mmseg dependencies
+      - name: Install MMCV
         run: |
           pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch}}/index.html
-          pip install -r requirements.txt
           python -c 'import mmcv; print(mmcv.__version__)'
+      - name: Install unittest dependencies
+        run: |
+          pip install -r requirements.txt
       - name: Build and install
         run: rm -rf .eggs && pip install -e .
       - name: Run unittests and generate coverage report
@@ -62,99 +75,147 @@ jobs:
           coverage xml
           coverage report -m
 
-  build_cuda:
+  build_cuda101:
     runs-on: ubuntu-18.04
-    env:
+    container:
-      UBUNTU_VERSION: ubuntu1804
+      image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
+
     strategy:
       matrix:
         python-version: [3.7]
-        torch: [1.5.0+cu101, 1.7.0+cu101, 1.8.0+cu101, 1.9.0+cu102]
+        torch:
+          [
+            1.3.1,
+            1.5.1+cu101,
+            1.6.0+cu101,
+            1.7.0+cu101,
+            1.8.0+cu101
+          ]
         include:
-          - torch: 1.5.0+cu101
+          - torch: 1.3.1
-            torch_version: torch1.5.0
+            torch_version: torch1.3.1
-            torchvision: 0.6.0+cu101
+            torchvision: 0.4.2
-            CUDA: 10.1.105-1
+            mmcv_link: "torch1.3.0"
-            CUDA_SHORT: 10-1
+          - torch: 1.5.1+cu101
+            torch_version: torch1.5.1
+            torchvision: 0.6.1+cu101
+            mmcv_link: "torch1.5.0"
+          - torch: 1.6.0+cu101
+            torch_version: torch1.6.0
+            torchvision: 0.7.0+cu101
+            mmcv_link: "torch1.6.0"
           - torch: 1.7.0+cu101
             torch_version: torch1.7.0
             torchvision: 0.8.1+cu101
-            CUDA: 10.1.105-1
+            mmcv_link: "torch1.7.0"
-            CUDA_SHORT: 10-1
           - torch: 1.8.0+cu101
             torch_version: torch1.8.0
             torchvision: 0.9.0+cu101
-            CUDA: 10.1.105-1
+            mmcv_link: "torch1.8.0"
-            CUDA_SHORT: 10-1
+
-          - torch: 1.9.0+cu102
-            torch_version: torch1.9.0
-            torchvision: 0.10.0+cu102
-            CUDA: 10.2.89-1
-            CUDA_SHORT: 10-2
-          - python-version: 3.6
-            torch: 1.8.0+cu101
-            torch_version: torch1.8.0
-            torchvision: 0.9.0+cu101
-            CUDA: 10.1.105-1
-            CUDA_SHORT: 10-1
-          - python-version: 3.8
-            torch: 1.8.0+cu101
-            torch_version: torch1.8.0
-            torchvision: 0.9.0+cu101
-            CUDA: 10.1.105-1
-            CUDA_SHORT: 10-1
-          - python-version: 3.9
-            torch: 1.8.0+cu101
-            torch_version: torch1.8.0
-            torchvision: 0.9.0+cu101
-            CUDA: 10.1.105-1
-            CUDA_SHORT: 10-1
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
-      - name: Upgrade pip
+      - name: Install system dependencies
-        run: pip install pip --upgrade
-      - name: Install CUDA
         run: |
-          export INSTALLER=cuda-repo-${UBUNTU_VERSION}_${{matrix.CUDA}}_amd64.deb
+          apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 python${{matrix.python-version}}-dev
-          wget http://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/${INSTALLER}
+          apt-get clean
-          sudo dpkg -i ${INSTALLER}
+          rm -rf /var/lib/apt/lists/*
-          wget https://developer.download.nvidia.com/compute/cuda/repos/${UBUNTU_VERSION}/x86_64/7fa2af80.pub
+      - name: Install Pillow
-          sudo apt-key add 7fa2af80.pub
+        run: python -m pip install Pillow==6.2.2
-          sudo apt update -qq
+        if: ${{matrix.torchvision < 0.5}}
-          sudo apt install -y cuda-${{matrix.CUDA_SHORT}} cuda-cufft-dev-${{matrix.CUDA_SHORT}}
-          sudo apt clean
-          export CUDA_HOME=/usr/local/cuda-${{matrix.CUDA_SHORT}}
-          export LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${CUDA_HOME}/include:${LD_LIBRARY_PATH}
-          export PATH=${CUDA_HOME}/bin:${PATH}
-          sudo apt-get install -y ninja-build
       - name: Install PyTorch
-        run: pip install torch==${{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 dependencies for compiling onnx when python=3.9
+        run: python -m pip install protobuf && apt-get install libprotobuf-dev protobuf-compiler
+        if: ${{matrix.python-version == '3.9'}}
       - name: Install mmseg dependencies
         run: |
-          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/${CUDA_SHORT/-/}/${{matrix.torch_version}}/index.html
+          python -V
-          pip install -r requirements.txt
+          python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.mmcv_link}}/index.html
+          python -m pip install -r requirements.txt
           python -c 'import mmcv; print(mmcv.__version__)'
-      - name: Install dependencies for compiling onnx when python=3.9
-        run: pip install protobuf && sudo apt-get install libprotobuf-dev protobuf-compiler
-        if: ${{matrix.python-version == '3.9'}}
       - name: Build and install
-        run: rm -rf .eggs && pip install -e .
+        run: |
+          rm -rf .eggs
+          python setup.py check -m -s
+          TORCH_CUDA_ARCH_LIST=7.0 pip install .
       - name: Run unittests and generate coverage report
         run: |
           coverage run --branch --source mmseg -m pytest tests/
           coverage xml
           coverage report -m
-      # Only upload coverage report for python3.7 && pytorch1.5
       - name: Upload coverage to Codecov
-        if: ${{matrix.torch == '1.5.0+cu101' && matrix.python-version == '3.7'}}
+        uses: codecov/codecov-action@v1.0.10
-        uses: codecov/codecov-action@v1.0.14
         with:
           file: ./coverage.xml
           flags: unittests
           env_vars: OS,PYTHON
           name: codecov-umbrella
           fail_ci_if_error: false
+
+  build_cuda102:
+    runs-on: ubuntu-18.04
+    container:
+      image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
+
+    strategy:
+      matrix:
+        python-version: [3.6, 3.7, 3.8, 3.9-dev]
+        torch: [1.9.0+cu102]
+        include:
+          - torch: 1.9.0+cu102
+            torch_version: torch1.9.0
+            torchvision: 0.10.0+cu102
+            mmcv_link: "torch1.9.0"
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install python-dev
+        run: apt-get update && apt-get install -y python${{matrix.python-version}}-dev
+        if: ${{matrix.python-version != '3.9-dev'}}
+      - name: Install system dependencies
+        run: |
+          apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6
+          apt-get clean
+          rm -rf /var/lib/apt/lists/*
+      - name: Install Pillow
+        run: python -m pip install Pillow==6.2.2
+        if: ${{matrix.torchvision < 0.5}}
+      - name: Install PyTorch
+        run: python -m pip install torch==${{matrix.torch}} torchvision==${{matrix.torchvision}} -f https://download.pytorch.org/whl/torch_stable.html
+      - name: Install dependencies for compiling onnx when python=3.9
+        run: python -m pip install protobuf && apt-get update && apt-get -y install libprotobuf-dev protobuf-compiler cmake
+        if: ${{matrix.python-version == '3.9-dev'}}
+      - name: Install mmseg dependencies
+        run: |
+          python -V
+          python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/${{matrix.mmcv_link}}/index.html
+          python -m pip install pycocotools
+          python -m pip install -r requirements.txt
+          python -c 'import mmcv; print(mmcv.__version__)'
+      - name: Build and install
+        run: |
+          rm -rf .eggs
+          python setup.py check -m -s
+          TORCH_CUDA_ARCH_LIST=7.0 pip install .
+      - name: Run unittests and generate coverage report
+        run: |
+          coverage run --branch --source mmseg -m pytest tests/
+          coverage xml
+          coverage report -m
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v2
+        with:
+          files: ./coverage.xml
+          flags: unittests
+          env_vars: OS,PYTHON
+          name: codecov-umbrella
+          fail_ci_if_error: false