103 lines
3.6 KiB
YAML
103 lines
3.6 KiB
YAML
# Python package
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# Create and test a Python package on multiple Python versions.
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# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
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# https://docs.microsoft.com/azure/devops/pipelines/languages/python
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trigger:
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tags:
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include:
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- '*'
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branches:
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include:
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- "master"
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- "release/*"
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- "refs/tags/*"
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paths:
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include:
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- ".azure/gpu-tests-lite.yml"
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- "requirements/lite/**"
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- "src/lightning_lite/**"
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- "tests/tests_lite/**"
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- "tests/tests_pytorch/run_standalone_tests.sh"
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- "tests/tests_lite/run_standalone_tests.sh" # a symlink to the one above
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pr:
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- "master"
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- "release/*"
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jobs:
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- job: testing
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# how long to run the job before automatically cancelling
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timeoutInMinutes: "20"
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# how much time to give 'run always even if cancelled tasks' before stopping them
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cancelTimeoutInMinutes: "2"
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pool: azure-jirka-spot
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container:
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image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.12-cuda11.6.1"
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# default shm size is 64m. Increase it to avoid:
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# 'Error while creating shared memory: unhandled system error, NCCL version 2.7.8'
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options: "--runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all --shm-size=512m"
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workspace:
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clean: all
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steps:
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- bash: |
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lspci | egrep 'VGA|3D'
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whereis nvidia
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nvidia-smi
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which python && which pip
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python --version
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pip --version
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pip list
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displayName: 'Image info & NVIDIA'
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- bash: |
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set -e
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TORCH_VERSION=$(python -c "import torch; print(torch.__version__.split('+')[0])")
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CUDA_VERSION_MM=$(python -c "import torch ; print(''.join(map(str, torch.version.cuda.split('.')[:2])))")
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python ./requirements/pytorch/adjust-versions.py requirements/lite/base.txt ${PYTORCH_VERSION}
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pip install -e .[strategies] --find-links https://download.pytorch.org/whl/cu${CUDA_VERSION_MM}/torch_stable.html
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pip install --requirement requirements/pytorch/devel.txt --find-links https://download.pytorch.org/whl/cu${CUDA_VERSION_MM}/torch_stable.html
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pip list
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env:
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PACKAGE_NAME: pytorch
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FREEZE_REQUIREMENTS: 1
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displayName: 'Install dependencies'
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- bash: |
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set -e
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python requirements/collect_env_details.py
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python -c "import torch ; mgpu = torch.cuda.device_count() ; assert mgpu >= 2, f'GPU: {mgpu}'"
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displayName: 'Env details'
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- bash: python -m coverage run --source lightning_lite -m pytest --ignore benchmarks -v --junitxml=$(Build.StagingDirectory)/test-results.xml --durations=50
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env:
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PL_RUN_CUDA_TESTS: "1"
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workingDirectory: tests/tests_lite
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displayName: 'Testing: Lite standard'
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timeoutInMinutes: "10"
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- bash: bash run_standalone_tests.sh
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workingDirectory: tests/tests_lite
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env:
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PL_RUN_CUDA_TESTS: "1"
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PL_STANDALONE_TESTS_SOURCE: "lightning_lite"
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displayName: 'Testing: Lite standalone tests'
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timeoutInMinutes: "10"
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- bash: |
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python -m coverage report
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python -m coverage xml
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python -m coverage html
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python -m codecov --token=$(CODECOV_TOKEN) --commit=$(Build.SourceVersion) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
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ls -l
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workingDirectory: tests/tests_lite
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displayName: 'Statistics'
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- task: PublishTestResults@2
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displayName: 'Publish test results'
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inputs:
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testResultsFiles: '$(Build.StagingDirectory)/test-results.xml'
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testRunTitle: '$(Agent.OS) - $(Build.DefinitionName) - Python $(python.version)'
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condition: succeededOrFailed()
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