name: crons on: schedule: - cron: "0 2 * * *" # at 02:00 UTC jobs: cron-gpu: container: image: nvcr.io/nvidia/pytorch:20.03-py3 options: "--gpus all" runs-on: [self-hosted, linux, x64] strategy: matrix: pytorch-version: [1.4.0, latest] steps: - uses: actions/checkout@v2 - name: Install the dependencies run: | which python python -m pip install --upgrade pip wheel python -m pip uninstall -y torch torchvision if [ ${{ matrix.pytorch-version }} == "latest" ]; then python -m pip install torch torchvision else python -m pip install torch==${{ matrix.pytorch-version }} python -m pip install torchvision==0.5.0 fi python -m pip install -r requirements-dev.txt python -m pip list - name: Run tests report coverage run: | nvidia-smi export CUDA_VISIBLE_DEVICES=$(python -m tests.utils) echo $CUDA_VISIBLE_DEVICES python -c "import torch; print(torch.__version__); print('{} of GPUs available'.format(torch.cuda.device_count()))" python -c 'import torch; print(torch.rand(5,3, device=torch.device("cuda:0")))' ./runtests.sh --coverage coverage xml - name: Upload coverage uses: codecov/codecov-action@v1 with: fail_ci_if_error: false file: ./coverage.xml cron-docker: container: image: docker://projectmonai/monai:latest options: "--gpus all" runs-on: [self-hosted, linux, x64] steps: - name: Run tests report coverage run: | cd /opt/monai nvidia-smi export CUDA_VISIBLE_DEVICES=$(python -m tests.utils) echo $CUDA_VISIBLE_DEVICES python -c "import torch; print(torch.__version__); print('{} of GPUs available'.format(torch.cuda.device_count()))" python -c 'import torch; print(torch.rand(5,3, device=torch.device("cuda:0")))' ngc --version ./runtests.sh --coverage --pytype coverage xml - name: Upload coverage uses: codecov/codecov-action@v1 with: fail_ci_if_error: false file: ./coverage.xml