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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