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@ -2,29 +2,41 @@ pipeline {
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agent {
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agent {
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dockerfile true
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dockerfile true
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}
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}
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parameters{
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'WHICH_BUILD_DATA'
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)
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'WHICH_BUILD_TRAIN'
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)
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}
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stages {
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stages {
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stage('checkout') {
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stage('checkout') {
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steps {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 's434766-create-dataset'
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copyArtifacts fingerprintArtifacts: true, projectName: 's434766-create-dataset', selector: buildParameter('WHICH_BUILD_DATA')
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copyArtifacts fingerprintArtifacts: true, projectName: 's434766-training'
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copyArtifacts fingerprintArtifacts: true, projectName: 's434766-training', selector: buildParameter('WHICH_BUILD_TRAIN')
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}
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}
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}
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}
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stage('Docker'){
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stage('Docker'){
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steps{
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steps{
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sh 'python3 "./../stroke-pytorch-eval.py" >> eval.txt'
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sh 'python3 "./stroke-pytorch-eval.py" >> eval.txt'
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}
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}
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}
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}
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stage('archiveArtifacts') {
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stage('archiveArtifacts') {
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steps {
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steps {
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archiveArtifacts 'eval.txt'
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archiveArtifacts 'eval.txt'
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}
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}
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post {
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success {
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emailext body: 'Evaluation of stroke predictions is finished',
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subject: 's434766 evaluation finished',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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}
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stage('sendMail') {
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steps{
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emailext body: currentBuild.result ?: 'SUCCESS',
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subject: 's434766 training',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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}
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}
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}
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