# This workflow will install Python dependencies, run tests with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: build

on:
  push:
    branches:
      - master
    paths-ignore:
      - 'README.md'
      - 'README_CN.md'
      - 'docs/**'
      - 'examples/**'
      - '.dev_scripts/**'

  pull_request:
    paths-ignore:
      - 'README.md'
      - 'README_CN.md'
      - 'docs/**'
      - 'examples/**'
      - '.dev_scripts/**'

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

jobs:
  build_cpu:
    runs-on: ubuntu-18.04
    strategy:
      matrix:
        python-version: [3.7]
        torch: [1.5.0, 1.6.0, 1.7.0, 1.8.0]
        include:
          - torch: 1.5.0
            torch_version: torch1.5
            torchvision: 0.6.0
          - torch: 1.6.0
            torch_version: torch1.6
            torchvision: 0.7.0
          - torch: 1.7.0
            torch_version: torch1.7
            torchvision: 0.8.1
          - torch: 1.8.0
            torch_version: torch1.8
            torchvision: 0.9.0

    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Upgrade pip
        run: pip install pip --upgrade
      - name: Install onnx
        run: pip install onnx
      - name: Install PyTorch
        run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install MMCV
        run: |
          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/${{matrix.torch_version}}/index.html
          python -c 'import mmcv; print(mmcv.__version__)'
      - name: Install other dependencies
        run: |
          pip install -r requirements.txt
          python -m pip install -r requirements/poseval.txt
          pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
      - name: Build and install
        run: rm -rf .eggs && pip install -e .
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --omit="mmpose/apis/webcam/*" --source mmpose -m pytest tests/
          coverage xml
          coverage report -m --omit="mmpose/apis/webcam/*"

  build_cuda101:
    runs-on: ubuntu-18.04
    container:
      image: pytorch/pytorch:1.6.0-cuda10.1-cudnn7-devel
    strategy:
      matrix:
        python-version: [3.7]
        torch: [1.5.0, 1.6.0, 1.7.0, 1.8.0]
        include:
          - torch: 1.5.0
            torch_version: torch1.5
            torchvision: 0.6.0
          - torch: 1.6.0
            torch_version: torch1.6
            torchvision: 0.7.0
          - torch: 1.7.0
            torch_version: torch1.7
            torchvision: 0.8.1
          - torch: 1.8.0
            torch_version: torch1.8
            torchvision: 0.9.0

    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Fetch GPG keys
        run: |
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
      - 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 libturbojpeg
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Upgrade pip
        run: python -m pip install pip --upgrade
      - name: Install dependencies for compiling onnx when python=3.9
        run: python -m pip install protobuf && apt-get install -y libprotobuf-dev protobuf-compiler
        if: ${{matrix.python-version == '3.9'}}
      - name: Install PyTorch
        run: python -m pip install torch==${{matrix.torch}}+cu101 torchvision==${{matrix.torchvision}}+cu101 -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmpose dependencies
        run: |
          python -V
          python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.torch_version}}/index.html
          python -m pip install -r requirements.txt
          python -m pip install -r requirements/poseval.txt
          python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
          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 python -m pip install -e .
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --omit="mmpose/apis/webcam/*" --source mmpose -m pytest tests/
          coverage xml
          coverage report -m --omit="mmpose/apis/webcam/*"
      - 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

  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]
        torch: [1.9.0, 1.10.0]
        include:
          - torch: 1.9.0
            torch_version: torch1.9
            torchvision: 0.10.0
          - torch: 1.10.0
            torch_version: torch1.10
            torchvision: 0.11.0

    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Fetch GPG keys
        run: |
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
      - 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 libturbojpeg
          apt-get clean
          rm -rf /var/lib/apt/lists/*
      - name: Upgrade pip
        run: python -m pip install pip --upgrade
      - 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: ${{matrix.python-version == '3.9'}}
      - name: Install PyTorch
        run: python -m pip install torch==${{matrix.torch}}+cu102 torchvision==${{matrix.torchvision}}+cu102 -f https://download.pytorch.org/whl/torch_stable.html
      - name: Install mmpose dependencies
        run: |
          python -V
          python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/${{matrix.torch_version}}/index.html
          python -m pip install -r requirements.txt
          python -m pip install -r requirements/poseval.txt
          python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
          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 python -m pip install -e .
      - name: Run unittests and generate coverage report
        run: |
          coverage run --branch --omit="mmpose/apis/webcam/*" --source mmpose -m pytest tests/
          coverage xml
          coverage report -m --omit="mmpose/apis/webcam/*"
      - 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

  build_windows:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [windows-2022]
        python-version: [3.8]
        platform: [cpu]
    steps:
      - uses: actions/checkout@v2
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v2
        with:
          python-version: ${{ matrix.python-version }}
      - name: Upgrade pip
        run: python -m pip install pip --upgrade --user
      - name: Install PyTorch
        # As a complement to Linux CI, we test on PyTorch LTS version
        run: python -m pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
      - name: Install MMCV
        run: python -m pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8/index.html --only-binary mmcv-full
      - name: Install mmpose dependencies
        run: |
          python -V
          python -m pip install xtcocotools
          python -m pip install -r requirements/tests.txt -r requirements/optional.txt -r requirements/poseval.txt
          python -m pip install albumentations>=0.3.2 --no-binary imgaug,albumentations
          python -c 'import mmcv; print(mmcv.__version__)'
      - name: Show pip list
        run: python -m pip list
      - name: Build and install
        run: python -m pip install -e .
      - name: Run unittests
        run: coverage run --branch --source mmpose -m pytest tests -sv
      - name: Generate coverage report
        run: |
          coverage run --branch --omit="mmpose/apis/webcam/*" --source mmpose -m pytest tests/
          coverage xml
          coverage report -m --omit="mmpose/apis/webcam/*"
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v2
        with:
          file: ./coverage.xml
          flags: unittests
          env_vars: OS,PYTHON
          name: codecov-umbrella
          fail_ci_if_error: false