ium_z487175/Jenkinsfile-training

46 lines
1.1 KiB
Plaintext
Raw Normal View History

2023-06-07 20:00:19 +02:00
pipeline{
agent any
2023-06-07 20:17:28 +02:00
parameters {
string(
name: 'EPOCHS',
description: 'Number of epochs',
defaultValue: '10'
)
2023-06-08 08:30:03 +02:00
string(
name: 'BRANCH',
description: 'Branch name',
defaultValue: 'master'
)
2023-06-07 20:17:28 +02:00
}
2023-06-07 20:00:19 +02:00
stages{
stage('Copy dataset'){
steps{
sh "docker cp \$(docker ps -l -q):/app/dane ${env.WORKSPACE}"
}
}
stage('Train model'){
steps{
2023-06-07 20:50:13 +02:00
sh "docker run -v ${env.WORKSPACE}/dane:/app/dane ium python3 /app/DL-model.py --epochs ${params.EPOCHS}"
2023-06-07 20:00:19 +02:00
}
}
stage('Archive model'){
steps{
2023-06-07 20:57:28 +02:00
sh "docker cp \$(docker ps -l -q):/app/model_with_data.pickle ${env.WORKSPACE}"
2023-06-07 20:00:19 +02:00
archiveArtifacts artifacts: 'model_with_data.pickle', fingerprint: true
}
}
}
2023-06-08 08:12:42 +02:00
post {
success {
2023-06-08 08:32:06 +02:00
build job: "z-s487175-evaluation.eg", parameters: [
2023-06-08 08:30:03 +02:00
string(name: 'BRANCH', value: params.BRANCH)
], wait: false
2023-06-08 08:12:42 +02:00
}
}
2023-06-07 20:00:19 +02:00
}