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s434766 2021-05-10 10:56:36 +02:00
parent 8596ae1d46
commit baf3607d0d
1 changed files with 22 additions and 10 deletions
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32
pytorch-training-eval/Jenkinsfile-eval
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@ -2,29 +2,41 @@ pipeline {
agent { agent {
dockerfile true dockerfile true
} }
parameters{
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'WHICH_BUILD_DATA'
)
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'WHICH_BUILD_TRAIN'
)
}
stages { stages {
stage('checkout') { stage('checkout') {
steps { steps {
copyArtifacts fingerprintArtifacts: true, projectName: 's434766-create-dataset' copyArtifacts fingerprintArtifacts: true, projectName: 's434766-create-dataset', selector: buildParameter('WHICH_BUILD_DATA')
copyArtifacts fingerprintArtifacts: true, projectName: 's434766-training' copyArtifacts fingerprintArtifacts: true, projectName: 's434766-training', selector: buildParameter('WHICH_BUILD_TRAIN')
} }
} }
stage('Docker'){ stage('Docker'){
steps{ steps{
sh 'python3 "./../stroke-pytorch-eval.py" >> eval.txt' sh 'python3 "./stroke-pytorch-eval.py" >> eval.txt'
} }
} }
stage('archiveArtifacts') { stage('archiveArtifacts') {
steps { steps {
archiveArtifacts 'eval.txt' archiveArtifacts 'eval.txt'
} }
post {
success {
emailext body: 'Evaluation of stroke predictions is finished',
subject: 's434766 evaluation finished',
to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
}
} }
stage('sendMail') {
steps{
emailext body: currentBuild.result ?: 'SUCCESS',
subject: 's434766 training',
to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
}
} }
} }