2023-05-13 01:10:40 +02:00
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node {
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checkout scm
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2023-05-15 02:40:00 +02:00
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stage('Init') {
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properties([
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pipelineTriggers([ upstream(threshold: hudson.model.Result.SUCCESS, upstreamProjects: 's452639-create-dataset' ) ]),
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parameters([
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buildSelector(
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defaultSelector: lastSuccessful(),
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description: "Source of dataset",
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name: 'BUILD_SELECTOR'
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),
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string(
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defaultValue: "2",
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description: "Epochs count",
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name: "EPOCHS",
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trim: true
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),
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])
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])
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}
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2023-05-13 01:10:40 +02:00
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def local_image = docker.build("s452639-image")
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local_image.inside {
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stage('Build') {
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2023-05-15 02:57:03 +02:00
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checkout([$class: 'GitSCM', branches: [[name: BRANCH_NAME]], extensions: [], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s452639/ium_452639']]])
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2023-05-13 01:10:40 +02:00
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copyArtifacts fingerprintArtifacts: true,
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projectName: 's452639-create-dataset',
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2023-05-13 01:17:18 +02:00
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selector: lastSuccessful(),
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2023-05-13 01:10:40 +02:00
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flatten: true,
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target: 'src/'
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2023-05-15 03:54:56 +02:00
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sh "cd src; python tf_train_sacred.py with epochs=${params.EPOCHS}"
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2023-05-15 04:00:28 +02:00
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archiveArtifacts artifacts: 'src/model.keras', followSymlinks: false
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2023-05-13 01:10:40 +02:00
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}
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}
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2023-05-15 02:40:00 +02:00
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stage('Trigger') {
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build wait: false, job: 's452639-evaluation.eg'
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}
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2023-05-13 01:10:40 +02:00
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}
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