2024-05-14 21:26:05 +02:00
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pipeline {
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agent any
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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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2024-05-14 21:43:04 +02:00
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string (
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name: 'EPOCHS',
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defaultValue: '35',
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description: 'Epochs to train'
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)
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2024-05-14 21:26:05 +02:00
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}
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stages {
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stage('Checkout repository') {
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steps {
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checkout scm
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}
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}
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stage('Copy artifacts') {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 'z-s464980-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage("Training") {
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agent {
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dockerfile {
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filename 'Dockerfile'
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reuseNode true
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}
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}
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steps {
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2024-05-28 21:42:45 +02:00
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withCredentials([sshUserPrivateKey(credentialsId: '48ac7004-216e-4260-abba-1fe5db753e18', keyFileVariable: 'IUM_SFTP_KEY')]) {
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sh 'dvc remote modify --local ium_ssh_remote keyfile $IUM_SFTP_KEY'
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sh "dvc pull"
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2024-05-28 21:32:24 +02:00
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}
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2024-05-14 21:43:04 +02:00
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sh "python ./train.py --epochs ${params.EPOCHS}"
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2024-05-14 21:26:05 +02:00
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archiveArtifacts artifacts: 'model.keras', onlyIfSuccessful: true
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}
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}
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2024-05-14 22:04:38 +02:00
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stage('Run training'){
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steps{
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script {
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build(job: 's464980-evaluation/master')
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}
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}
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}
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2024-05-14 21:26:05 +02:00
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}
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}
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