mmdeploy/.github/workflows/build.yml

name: build

on:
  push:
    paths-ignore:
      - ".github/scripts/**"
      - "demo/**"
      - "docker/**"
      - "tools/**"

  pull_request:
    paths-ignore:
      - ".github/scripts/**"
      - "demo/**"
      - "docker/**"
      - "tools/**"
      - "docs/**"

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  build_cpu_model_convert:
    runs-on: ubuntu-20.04
    strategy:
      matrix:
        torch: [1.8.0, 1.9.0]
        mmcv: [1.4.2]
        include:
          - torch: 1.8.0
            torch_version: torch1.8
            torchvision: 0.9.0
          - torch: 1.9.0
            torch_version: torch1.9
            torchvision: 0.10.0
    steps:
      - uses: actions/checkout@v3
      - name: Install PyTorch
        run: |
          python -m pip install --upgrade pip
          python -V
          python -m pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html          
      - name: Install MMCV
        run: |
          python -m pip install mmcv-full==${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/cpu/${{matrix.torch_version}}/index.html
          python -c 'import mmcv; print(mmcv.__version__)'          
      - name: Install unittest dependencies
        run: |
          python -m pip install -U numpy
          python -m pip install rapidfuzz==2.15.1
          python -m pip install -r requirements.txt          
      - name: Build and install
        run: rm -rf .eggs && python -m pip install -e .
      - name: Run python unittests and generate coverage report
        run: |
          coverage run --branch --source mmdeploy -m pytest -rsE tests
          coverage xml
          coverage report -m          

  build_cpu_sdk:
    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
      - name: update
        run: sudo apt update
      - name: gcc-multilib
        run: |
          sudo apt update
          sudo apt install libopencv-dev lcov wget -y          
      - name: Build and run SDK unit test without backend
        run: |
          mkdir -p build && pushd build
          cmake .. \
            -DMMDEPLOY_CODEBASES=all \
            -DMMDEPLOY_BUILD_SDK=ON \
            -DMMDEPLOY_BUILD_SDK_PYTHON_API=OFF \
            -DMMDEPLOY_TARGET_DEVICES=cpu \
            -DMMDEPLOY_COVERAGE=ON \
            -DMMDEPLOY_BUILD_TEST=ON
          make -j2
          mkdir -p mmdeploy_test_resources/transform
          cp ../tests/data/tiger.jpeg mmdeploy_test_resources/transform/
          ./bin/mmdeploy_tests
          lcov --capture --directory . --output-file coverage.info
          ls -lah coverage.info
          cp coverage.info ../          

  cross_build_aarch64:
    runs-on: ubuntu-20.04
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with:
          submodules: 'recursive'
      - name: update
        run: sudo apt update
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: 3.8
      - name: gcc-multilib
        run: |
          sh -x tools/scripts/ubuntu_cross_build_aarch64.sh          

  build_cuda102:
    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:1.9.0-cuda10.2-cudnn7-devel
    env:
      FORCE_CUDA: 1
    strategy:
      matrix:
        python-version: [3.8]
        torch: [1.9.0+cu102]
        mmcv: [1.4.2]
        include:
          - torch: 1.9.0+cu102
            torch_version: torch1.9
            torchvision: 0.10.0+cu102
    steps:
      - uses: actions/checkout@v3
      - name: Install system dependencies
        run: |
          apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC
          apt-get update && apt-get install -y git          
      - 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
        run: |
          python -V
          python -m pip install -U pip
          python -m pip install mmcv-full==${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/cu102/${{matrix.torch_version}}/index.html
          python -m pip install -r requirements.txt
          python -m pip install rapidfuzz==2.15.1          
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
          python tools/check_env.py          
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --source mmdeploy -m pytest -rsE tests
          coverage xml
          coverage report -m          

  build_cuda111:
    runs-on: ubuntu-20.04
    container:
      image: pytorch/pytorch:1.8.0-cuda11.1-cudnn8-devel
    strategy:
      matrix:
        python-version: [3.8]
        torch: [1.8.0+cu111]
        mmcv: [1.4.2]
        include:
          - torch: 1.8.0+cu111
            torch_version: torch1.8
            torchvision: 0.9.0+cu111
    steps:
      - uses: actions/checkout@v3
      - name: Install system dependencies
        run: |
          apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC
          apt-get update && apt-get install -y git          
      - name: Install dependencies
        run: |
          python -V
          python -m pip install -U pip
          python -m pip install mmcv-full==${{matrix.mmcv}} -f https://download.openmmlab.com/mmcv/dist/cu111/${{matrix.torch_version}}/index.html
          python -m pip install -r requirements.txt
          python -m pip install rapidfuzz==2.15.1          
      - name: Build and install
        run: |
          rm -rf .eggs && python -m pip install -e .
          python tools/check_env.py          
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --source mmdeploy -m pytest -rsE tests
          coverage xml
          coverage report -m          
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v2
        with:
          file: ./coverage.xml,./coverage.info
          flags: unittests
          env_vars: OS,PYTHON,CPLUS
          name: codecov-umbrella
          fail_ci_if_error: false