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full-test.yml
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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-13", "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"} ]
include:
- os: macos-latest
vers:
pt_ver: latest
tv_ver: latest
defaults:
run:
shell: bash -l {0}
steps:
- uses: actions/checkout@v4
- name: Configure pagefile
if: runner.os == 'Windows'
uses: al-cheb/[email protected]
with:
minimum-size: 8GB
- name: Set up swap space
if: runner.os == 'Linux'
uses: pierotofy/[email protected]
with:
swap-size-gb: 8
- uses: conda-incubator/setup-miniconda@v3
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::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" && "$PYTORCH_VER" == "latest" ]]; then
conda install pytorch torchvision cpuonly pillow=6 -c pytorch
elif [[ "$TORCHVISION_VER" == "0.9."* || "$TORCHVISION_VER" == "0.10."* ]]; then
conda install pillow=6 -c conda-forge
conda install pytorch=$PYTORCH_VER torchvision=$TORCHVISION_VER cpuonly -c pytorch
else
conda install pytorch=$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
env:
PYTORCH_VER: ${{ matrix.vers.pt_ver }}
TORCHVISION_VER: ${{ matrix.vers.tv_ver }}
run: |
if [[ "$RUNNER_OS" == "Linux" && "$TORCHVISION_VER" == "latest" && "$PYTORCH_VER" == "latest" ]]; then
pip install black 'ruff<0.0.234' 'tensorflow<2.12' pytest scipy interval
else
pip install black 'ruff<0.0.234' tensorflow pytest scipy interval
fi
- name: Lint checks
run: python -m ruff .
- name: Run tests
run: |
source activate.sh
python tests/test_run.py