24 lines
840 B
YAML
24 lines
840 B
YAML
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# https://docs.drone.io/pipeline/docker/examples/languages/python/#python-example
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kind: pipeline
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type: docker
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name: torch-GPU
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steps:
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- name: testing
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image: nvcr.io/nvidia/pytorch:20.02-py3
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commands:
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- python --version
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- pip install pip -U
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- pip --version
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- nvidia-smi
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#- pip install torch==1.3
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- pip install -r requirements.txt --user
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- pip install coverage pytest pytest-cov pytest-flake8
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- pip install -r ./tests/requirements.txt --user
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- pip list
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- export SLURM_LOCALID=0
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- python -c "import torch ; print(' & '.join([torch.cuda.get_device_name(i) for i in range(torch.cuda.device_count())]) if torch.cuda.is_available() else 'only CPU')"
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- coverage run --source pytorch_lightning -m py.test pytorch_lightning tests pl_examples -v --doctest-modules # --flake8
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- coverage report
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