# Python package # Create and test a Python package on multiple Python versions. # Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more: # https://docs.microsoft.com/azure/devops/pipelines/languages/python trigger: branches: include: - master - release/* pr: - master - release/* jobs: - job: pytest # how long to run the job before automatically cancelling timeoutInMinutes: 45 # how much time to give 'run always even if cancelled tasks' before stopping them cancelTimeoutInMinutes: 2 pool: dsvm-spot-pool #strategy: # matrix: # PT16: # torch.version: '1.6' # python.version: '3.7' # ToDo: this need to have installed docker in the base image... #container: pytorchlightning/pytorch_lightning:base-cuda-py3.7-torch1.6 #container: "pytorchlightning/pytorch_lightning:base-cuda-py$[ variables['python.version'] ]-torch1.6" container: # base ML image: mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.2-cudnn8-ubuntu18.04 image: "pytorchlightning/pytorch_lightning:base-cuda-py3.7-torch1.6" #endpoint: azureContainerRegistryConnection options: "--runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all" workspace: clean: all steps: - bash: | lspci | egrep 'VGA|3D' whereis nvidia nvidia-smi python --version pip --version pip list displayName: 'Image info & NVIDIA' - bash: | #sudo apt-get install -y cmake # python -m pip install "pip==20.1" pip install --requirement requirements.txt --find-links https://download.pytorch.org/whl/cpu/torch_stable.html python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if 'fairscale' not in line] ; open(fname, 'w').writelines(lines)" python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if 'horovod' not in line] ; open(fname, 'w').writelines(lines)" pip install --requirement ./requirements/devel.txt --upgrade-strategy only-if-needed pip install git+https://$(AUTH_TOKEN)@github.com/PyTorchLightning/lightning-dtrun.git@v0.0.2 --no-cache-dir pip list displayName: 'Install dependencies' - script: | python tests/collect_env_details.py displayName: 'Env details' - bash: | wget https://pl-public-data.s3.amazonaws.com/legacy/checkpoints.zip -P legacy/ unzip -o legacy/checkpoints.zip -d legacy/ ls -l legacy/checkpoints/ displayName: 'Get legacy checkpoints' - script: | python -m coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --durations=50 displayName: 'Testing: standard' - script: | sh tests/special_tests.sh displayName: 'Testing: special' - bash: | python -m coverage report python -m coverage xml codecov --token=$(CODECOV_TOKEN) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure displayName: 'Statistics' - script: | python -m pytest benchmarks pl_examples -v --maxfail=2 --durations=0 displayName: 'Testing: extended'