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azure-pipelines.yml
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azure-pipelines.yml
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variables:
AzureConnection: 'BiomedicalImaging-NonProd(87d8acb3-5176-4651-b457-6ab9cefd8e3d)'
AcrConnection: 'gadgetron-acr'
AcrRegistryAddress: 'gadgetron.azurecr.io'
AcrRegistryName: 'gadgetronbuild'
ContainerRegistry: 'ghcr.io/gadgetron/gadgetron'
pool: gadgetron-gpu-nodes
# Trigger when merging to master
trigger:
- master
# Trigger for PRs that merge to master
pr:
- master
jobs:
- job: buildAndPushBaseImages
displayName: "Build base images"
strategy:
matrix:
ubuntu2004:
imageName: gadgetron_ubuntu_2004_base
dockerFile: docker/ubuntu_base.Dockerfile
baseImage: ubuntu:20.04
ubuntu2004CUDA:
imageName: gadgetron_ubuntu_2004_cuda11_cudnn8_base
dockerFile: docker/ubuntu_base.Dockerfile
baseImage: nvidia/cuda:11.0-devel-ubuntu20.04
steps:
- template: ./build-jobs/docker-build-push-acr.yaml
parameters:
acrconnection: $(AcrConnection)
dockerfile: $(dockerFile)
imageName: $(imageName)
containerregistry: $(AcrRegistryName)
baseimage: $(baseImage)
- job: buildAndPush
displayName: "Build and Push"
dependsOn:
- buildAndPushBaseImages
strategy:
matrix:
ubuntu2004:
imageName: gadgetron_ubuntu_2004
dockerFile: Dockerfile
baseimage: $(AcrRegistryAddress)/$(AcrRegistryName)/gadgetron_ubuntu_2004_base:$(build.BuildNumber)
ubuntu2004CUDA:
imageName: gadgetron_ubuntu_2004_cuda11_cudnn8
dockerFile: Dockerfile
baseimage: $(AcrRegistryAddress)/$(AcrRegistryName)/gadgetron_ubuntu_2004_cuda11_cudnn8_base:$(build.BuildNumber)
steps:
- template: ./build-jobs/docker-build-push-acr.yaml
parameters:
acrconnection: $(AcrConnection)
dockerfile: $(dockerFile)
imageName: $(imageName)
containerregistry: $(AcrRegistryName)
baseimage: $(baseImage)
- job: Tests
displayName: "Unit and Integration tests"
dependsOn:
- buildAndPush
strategy:
matrix:
ubuntu2004:
imageName: gadgetron_ubuntu_2004
requirements: python
ubuntu2004CUDA:
imageName: gadgetron_ubuntu_2004_cuda11_cudnn8
requirements: python,cuda
steps:
- task: Docker@2
displayName: Login to ACR
inputs:
command: login
containerRegistry: $(AcrConnection)
- script: |
set -e
fullImageName="$(AcrRegistryAddress)/$(AcrRegistryName)/$(imageName):$(build.BuildNumber)"
docker run --gpus all --rm $fullImageName /opt/code/gadgetron/build/test/test_all
displayName: "Run unit tests"
- script: |
set -e
mkdir -p testdata
fullImageName="$(AcrRegistryAddress)/$(AcrRegistryName)/$(imageName):$(build.BuildNumber)"
docker run -v $(pwd)/testdata:/opt/code/gadgetron/test/integration/data --rm $fullImageName /bin/bash -c "cd /opt/code/gadgetron/test/integration/ && ./get_data.py"
displayName: "Get test data"
- script: |
set -e
fullImageName="$(AcrRegistryAddress)/$(AcrRegistryName)/$(imageName):$(build.BuildNumber)"
docker run --gpus all -v $(pwd)/testdata:/opt/code/gadgetron/test/integration/data --rm $fullImageName /bin/bash -c "cd /opt/code/gadgetron/test/integration/ && ./run_tests.py --echo-log-on-failure --timeout=600 --ignore-requirements=$requirements -F --stats stats.csv cases/* && python3 stats_to_junit.py -i stats.csv -o data/junit.xml"
displayName: "Run integration tests"
- task: PublishTestResults@2
inputs:
testRunner: JUnit
testResultsFiles: 'testdata/junit.xml'
failTaskOnFailedTests: true
buildPlatform: $(imageName)
- job:
displayName: "Tag latest images"
dependsOn:
- Tests
condition: and(succeeded(), ne(variables['Build.Reason'], 'PullRequest'))
strategy:
matrix:
ubuntu2004_base:
imageName: gadgetron_ubuntu_2004_base
ubuntu2004CUDA_base:
imageName: gadgetron_ubuntu_2004_cuda11_cudnn8_base
ubuntu2004:
imageName: gadgetron_ubuntu_2004
ubuntu2004CUDA:
imageName: gadgetron_ubuntu_2004_cuda11_cudnn8
steps:
- template: ./build-jobs/tag-docker-image.yaml
parameters:
acrconnection: $(AcrConnection)
azureconnection: $(AzureConnection)
imagename: $(imageName)
imagetag: $(build.BuildNumber)
newimagetag: 'latest'
acrregistry: $(AcrRegistryAddress)/$(AcrRegistryName)
containerregistry: $(ContainerRegistry)