full-test.yml

name: Full tests

on:
  schedule:
    - cron:  '00 19 * * *'

jobs:
  unit-test:
    name: Full tests for ${{ matrix.os }}, PyTorch ${{ matrix.vers.pt_ver }}
    runs-on: ${{ matrix.os }}
    strategy:
      fail-fast: false
      matrix:
        os: ["ubuntu-latest", "macos-latest", "windows-latest"]
        vers: [ {pt_ver: "1.6.0", tv_ver: "0.7.0"}, {pt_ver: "1.7.0", tv_ver: "0.8.1"}, {pt_ver: "1.8.0", tv_ver: "0.9.0"}, {pt_ver: "1.9.0", tv_ver: "0.10.0"}, {pt_ver: "1.10.0", tv_ver: "0.11.1"}, {pt_ver: "1.11.0", tv_ver: "0.12.0"}, {pt_ver: "1.12.0", tv_ver: "0.13.0"} ]
    defaults:
      run:
        shell: bash -l {0}
    steps:
      - uses: actions/checkout@v2
      - name: Configure pagefile
        if: runner.os == 'Windows'
        uses: al-cheb/configure-pagefile-action@v1.2
        with:
          minimum-size: 8GB
      - name: Set up swap space
        if: runner.os == 'Linux'
        uses: pierotofy/set-swap-space@v1.0
        with:
          swap-size-gb: 8
      - uses: conda-incubator/setup-miniconda@v2
        with:
          auto-update-conda: true
          python-version: 3.8
      - name: Install PyTorch
        env:
          PYTORCH_VER: ${{ matrix.vers.pt_ver }}
          TORCHVISION_VER: ${{ matrix.vers.tv_ver }}
        run: |
         if [ "$RUNNER_OS" == "macOS" ]; then
            if [[ "$TORCHVISION_VER" == "latest" && "$PYTORCH_VER" == "latest" ]]; then
              conda install pytorch torchvision -c pytorch
            elif [[ "$TORCHVISION_VER" == "0.9."* || "$TORCHVISION_VER" == "0.10."* ]]; then
              conda install pytorch=$PYTORCH_VER torchvision=$TORCHVISION_VER pillow=6 -c pytorch
            else
              conda install pytorch=$PYTORCH_VER torchvision=$TORCHVISION_VER -c pytorch
            fi
         elif [ "$RUNNER_OS" == "Windows" ]; then
            if [[ "$TORCHVISION_VER" == "latest" && "$PYTORCH_VER" == "latest" ]]; then
              conda install pytorch torchvision cpuonly pillow=6 -c pytorch
            else
              conda install pytorch=$PYTORCH_VER torchvision=$TORCHVISION_VER cpuonly pillow=6 -c pytorch
            fi
         else
            if [[ "$TORCHVISION_VER" == "latest" && "$PYTORCH_VER" == "latest" ]]; then
              conda install pytorch torchvision cpuonly -c pytorch
            else
              conda install pytorch=$PYTORCH_VER torchvision=$TORCHVISION_VER cpuonly -c pytorch
            fi
         fi
      - name: Install TinyNeuralNetwork
        run: python setup.py install
      - name: Install test dependencies
        run: pip install ruff tensorflow pytest interval scipy
      - name: Lint checks
        run: python -m ruff .
      - name: Run tests
        run: |
          source activate.sh
          pytest tests -v