ium_434695/Jenkinsfile

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pipeline {
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agent {
dockerfile true
}
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parameters{
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'WHICH_BUILD'
)
string(
defaultValue: '16',
description: 'batch size',
name: 'BATCH_SIZE'
)
string(
defaultValue: '15',
description: 'epochs',
name: 'EPOCHS'
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)
}
stages {
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stage('copy artifacts')
{
steps
{
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copyArtifacts(fingerprintArtifacts: true, projectName: 's434695-create-dataset', selector: buildParameter('WHICH_BUILD'))
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}
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}
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stage('train')
{
steps
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{
catchError {
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sh 'python3.8 train.py ${BATCH_SIZE} ${EPOCHS}'
sh 'python3.8 sacred1.py ${BATCH_SIZE} ${EPOCHS}'
sh 'python3.8 sacred2.py ${BATCH_SIZE} ${EPOCHS}'
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}
}
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}
stage('Archive artifacts') {
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steps{
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archiveArtifacts 'vgsales_model.h5'
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archiveArtifacts 'my_runs/**'
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}
}
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}
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post {
success {
build job: 's434695-evaluation/master'
mail body: 'SUCCESS TRAINING', subject: 's434695', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
failure {
mail body: 'FAILURE TRAINING', subject: 's434695', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
}
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}
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}