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azure-pipelines.yml
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azure-pipelines.yml
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# 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/[email protected] --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'