ium_434695/train_evaluate/Jenkinsfile_train

59 lines
1.5 KiB
Plaintext
Raw Normal View History

2021-05-15 11:50:27 +02:00
pipeline {
2021-05-15 15:35:00 +02:00
agent any;
2021-05-15 16:30:28 +02:00
2021-05-15 11:50:27 +02:00
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'
)
}
stages {
stage('checkout') {
steps {
copyArtifacts fingerprintArtifacts: true, projectName: 's434695-create-dataset', selector: buildParameter('WHICH_BUILD')
}
}
2021-05-15 14:09:44 +02:00
stage('docker-training') {
steps {
script {
2021-05-15 16:49:19 +02:00
def img = docker.build('shroomy/ium2:1')
2021-05-15 14:09:44 +02:00
img.inside {
sh "python3 train.py"
sh "python3 sacred1.py"
sh "python3 sacred2.py"
}
}
}
}
2021-05-15 11:50:27 +02:00
stage('archiveArtifacts') {
steps{
archiveArtifacts 'ium_s434695/**'
archiveArtifacts 'model1'
}
}
}
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'
}
}
}