59 lines
1.6 KiB
Plaintext
59 lines
1.6 KiB
Plaintext
pipeline {
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agent {
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docker { image 'paweldopierala/ium:2.0.0' }
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}
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parameters{
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: 'Which build to use for copying artifacts',
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name: 'BUILD_SELECTOR'
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)
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string(
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defaultValue: '20',
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description: 'Epochs',
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name: 'EPOCHS'
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)
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string(
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defaultValue: '0.001',
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description: 'Learning Rate',
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name: 'LEARNING_RATE'
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)
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string(
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defaultValue: '32',
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description: 'Batch size',
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name: 'BATCH_SIZE'
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)
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}
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triggers {
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upstream(upstreamProjects: 'z-s495719-create-dataset', threshold: hudson.model.Result.SUCCESS)
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}
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stages {
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stage('Git') {
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steps {
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git(
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url: "https://git.wmi.amu.edu.pl/s495719/ium_495719.git",
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branch: "main"
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)
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}
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}
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stage('CopyArtifacts') {
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steps {
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copyArtifacts fingerprintArtifacts: true, projectName: 'z-s495719-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage('Script') {
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steps {
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sh 'chmod 777 ./create_model.py'
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sh "python3 ./create_model.py ${params.EPOCHS} ${params.LEARNING_RATE} ${params.BATCH_SIZE}"
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}
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}
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stage('CreateArtifacts') {
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steps {
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archiveArtifacts artifacts: 'hp_model.h5'
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}
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}
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}
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} |