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https://issues.apache.org/jira/browse/DLAB-1863?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17181863#comment-17181863
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Vira Vitanska commented on DLAB-1863:
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The playbook should be rewritten.
> [Branch-515][Ternsorflow with Jupyter][AWS][GCP]: Playbook create_models runs
> with error
> ----------------------------------------------------------------------------------------
>
> Key: DLAB-1863
> URL: https://issues.apache.org/jira/browse/DLAB-1863
> Project: Apache DLab
> Issue Type: Bug
> Components: DLab Main
> Environment: Branch-515
> Reporter: Vira Vitanska
> Assignee: Mykola Bodnar
> Priority: Major
> Labels: AWS, Debian, DevOps, GCP
> Attachments: Graph.png, Module TensorFlow.png
>
>
> *Preconditions:*
> # SSN is created on. AWS from branch-515
> # TensorFlow with Jupyter is created
> *Steps to reproduce:*
> 1. Run the playbook create_models
> *Actual result:*
> # The playbook runs with error
> The error 'module 'tensorflow' has no attribute 'get_default_graph' appears
> for kernels:
> - PySpark (Python-3.6 / Spark-2.4.4)
> - Python 2
> - Python 3
> - Local PySpark (Python-3.6 / Spark-2.4.4)
> The error 'No module named tensorflow' appears for kernels:
> - PySpark (Python-2.7 / Spark-2.4.4)
> - Local PySpark (Python-2.7 / Spark-2.4.4)
>
> *Expected result:*
> 1. The playbook runs successful
>
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