lightning/.azure/gpu-benchmark.yml

51 lines
1.2 KiB
YAML

# 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:
tags:
include:
- '*'
branches:
include:
- "master"
- "release/*"
- "refs/tags/*"
pr: none
schedules:
- cron: "0 0 * * *" # At the end of every day
displayName: Daily midnight benchmark
branches:
include:
- "master"
jobs:
- job: benchmarks
timeoutInMinutes: "90"
cancelTimeoutInMinutes: "2"
pool: azure-jirka-spot
container:
image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.11"
options: "--runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all --shm-size=32g"
workspace:
clean: all
steps:
- bash: |
pip install -e . -r requirements/pytorch/strategies.txt
pip list
env:
PACKAGE_NAME: pytorch
FREEZE_REQUIREMENTS: 1
displayName: 'Install package'
- bash: python -m pytest benchmarks -v --durations=0
env:
PL_RUNNING_BENCHMARKS: 1
workingDirectory: tests/tests_pytorch
displayName: 'Testing: PyTorch benchmarks'