ium_464913/Jenkinsfile

46 lines
1.1 KiB
Plaintext
Raw Normal View History

2024-04-01 16:14:55 +02:00
pipeline {
2024-05-04 10:40:09 +02:00
agent {
dockerfile true
}
2024-05-04 11:41:45 +02:00
2024-05-04 11:30:47 +02:00
triggers {
2024-05-04 11:31:39 +02:00
upstream(upstreamProjects: 'z-s464913-create-dataset', threshold: hudson.model.Result.SUCCESS)
2024-05-04 11:26:17 +02:00
}
2024-03-24 11:31:18 +01:00
parameters {
2024-05-04 10:40:09 +02:00
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'BUILD_SELECTOR'
2024-03-24 11:31:18 +01:00
)
2024-05-04 11:41:45 +02:00
string(name: 'LEARNING_RATE', defaultValue: '0.001', description: 'Learning rate')
string(name: 'EPOCHS', defaultValue: '5', description: 'Number of epochs')
2024-03-24 11:31:18 +01:00
}
2024-03-24 12:13:05 +01:00
2024-04-01 18:03:42 +02:00
stages {
2024-04-01 18:04:49 +02:00
stage('Clone Repository') {
steps {
2024-05-04 10:40:09 +02:00
git branch: 'training', url: 'https://git.wmi.amu.edu.pl/s464913/ium_464913.git'
2024-04-01 18:04:49 +02:00
}
}
2024-05-04 10:40:09 +02:00
stage('Copy Artifacts') {
2024-04-01 18:04:49 +02:00
steps {
2024-05-04 10:40:09 +02:00
copyArtifacts filter: 'data/*', projectName: 'z-s464913-create-dataset', selector: buildParameter('BUILD_SELECTOR')
2024-04-01 18:04:49 +02:00
}
}
2024-05-04 10:40:09 +02:00
stage('Run train_model script') {
2024-04-01 17:46:47 +02:00
steps {
2024-05-04 10:40:09 +02:00
sh 'chmod +x train_model.py'
2024-05-04 11:41:45 +02:00
sh 'python3 ./train_model.py ${params.LEARNING_RATE} ${params.EPOCHS}'
2024-04-01 18:04:49 +02:00
}
}
stage('Archive Artifacts') {
steps {
2024-05-04 10:40:09 +02:00
archiveArtifacts artifacts: 'model/*', onlyIfSuccessful: true
2024-03-24 11:31:18 +01:00
}
2024-03-20 14:24:07 +01:00
}
2024-03-24 11:31:18 +01:00
}
2024-03-20 14:21:31 +01:00
}