# https://docs.drone.io/pipeline/docker/examples/languages/python/#python-example

kind: pipeline
type: docker
name: torch-GPU

steps:
- name: testing
  image: nvcr.io/nvidia/pytorch:20.02-py3
  commands:
    - python --version
    - pip install pip -U
    - pip --version
    - nvidia-smi
    #- pip install torch==1.3
    - pip install -r requirements.txt --user
    - pip install coverage pytest pytest-cov pytest-flake8
    - pip install -r ./tests/requirements.txt --user
    - pip list
    - export SLURM_LOCALID=0
    - 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')"
    - coverage run --source pytorch_lightning -m py.test pytorch_lightning tests pl_examples -v --doctest-modules #  --flake8
    - coverage report