ium_470607/lab5/train/Jenkinsfile

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pipeline {
agent none
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options { copyArtifactPermission('s470607-evaluation/master') }
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parameters {
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'BUILD_SELECTOR')
string(name: 'LEARNING_RATE', defaultValue: '0.0003', description: 'learning rate')
}
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stages {
stage('copy files') {
agent any
steps {
sh '''
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cp ./lab5/train/Dockerfile .
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cp ./lab5/train/script.sh .
cp ./lab5/train/train.py .
cp ./lab5/train/requirements.txt .
'''
}
}
stage('docker') {
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agent {
docker {
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image 'kubakonieczny/ium:train-sacred-mlflow'
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}
}
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stages {
stage('copyArtifacts') {
steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 's470607-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
}
stage('ls') {
steps {
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sh 'chmod +x script.sh'
withEnv(["LEARNING_RATE=${params.LEARNING_RATE}"]) {
sh './script.sh $LEARNING_RATE'
}
sh 'ls -lah'
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}
}
stage('archive artifact') {
steps {
archiveArtifacts 'grid-stability-dense.h5'
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archiveArtifacts 'my_runs/**'
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}
}
}
}
}
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post {
success {
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build job: 's470607-evaluation/master'
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mail body: 'SUCCESS',
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subject: 's470607-training',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
failure {
mail body: 'FAILURE',
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subject: 's470607-training',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
}
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}