ium_470607/lab5/train/Jenkinsfile
2021-05-16 23:13:59 +02:00

68 lines
2.2 KiB
Groovy

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