68e41a262b
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60 lines
1.6 KiB
Plaintext
60 lines
1.6 KiB
Plaintext
pipeline {
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agent {
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dockerfile {
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args '-v /mlruns:/mlruns'
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}
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}
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parameters{
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string(
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defaultValue: '5',
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description: 'Epoch number',
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name: 'EPOCH_NUMBER'
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)
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}
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stages {
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stage('conda') {
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steps {
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sh 'conda env create -f environment.yml'
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sh 'conda activate myenv'
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}
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}
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stage('Copy') {
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steps {
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copyArtifacts projectName: 's444417-create-dataset'
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sh 'ls -la'
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sh 'echo $EPOCH_NUMBER'
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sh 'python3 ./lab8/trainScript.py'
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}
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}
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stage('Archive') {
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steps {
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dir('saved_model') {
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archiveArtifacts artifacts: '**/**'
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}
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dir('my_runs') {
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archiveArtifacts artifacts: '**/**'
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}
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}
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}
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stage('Starting eval job') {
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steps {
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build job: 's444417-evaluation/master', wait: false
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}
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}
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stage('Archive mlflow') {
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steps {
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sh 'cd ./lab8'
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sh 'tar -czf mlruns.tar.gz mlruns/'
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archiveArtifacts 'mlruns.tar.gz'
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}
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}
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}
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options {
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copyArtifactPermission('s444417-evaluation');
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}
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post {
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always {
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emailext body: "${currentBuild.currentResult}", subject: 's444417-testing build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |