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pipeline {
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agent any;
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2021-05-16 16:53:00 +02:00
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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: 'BUILD_SELECTOR'
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)
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string(
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defaultValue: '10',
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description: 'batch size',
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name: 'BATCH_SIZE'
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)
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string(
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defaultValue: '5',
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description: 'epochs',
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name: 'EPOCHS'
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)
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}
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2021-05-16 16:07:21 +02:00
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stages{
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2021-05-16 17:06:35 +02:00
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stage('copy-artifacts') {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 's434784-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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2021-05-16 16:05:03 +02:00
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stage('docker-training') {
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steps {
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script {
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def image = docker.build('dock')
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image.inside{
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2021-05-16 16:11:21 +02:00
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sh 'chmod +x training.py'
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2021-05-16 16:53:00 +02:00
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sh 'python3 training.py ${EPOCHS} ${BATCH_SIZE}'
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2021-05-16 16:05:03 +02:00
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}
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}
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}
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}
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2021-05-16 17:06:35 +02:00
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stage('archive-model') {
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steps{
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archiveArtifacts 'sucides_model.h5'
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}
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}
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2021-05-16 17:10:07 +02:00
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stage('send-mail') {
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steps{
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emailext body: currentBuild.result ?: 'SUCCESS',
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subject: 's434784-training',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
|
2021-05-16 16:07:21 +02:00
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}
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}
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