You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by "David Volquartz Lebech (JIRA)" <ji...@apache.org> on 2018/04/09 07:19:00 UTC
[jira] [Assigned] (AIRFLOW-2291) Ability to specify runtimeVersion
and pythonVersion in ML Engine operator
[ https://issues.apache.org/jira/browse/AIRFLOW-2291?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
David Volquartz Lebech reassigned AIRFLOW-2291:
-----------------------------------------------
Assignee: David Volquartz Lebech
> Ability to specify runtimeVersion and pythonVersion in ML Engine operator
> -------------------------------------------------------------------------
>
> Key: AIRFLOW-2291
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2291
> Project: Apache Airflow
> Issue Type: Improvement
> Components: contrib, gcp
> Affects Versions: Airflow 2.0, Airflow 1.8, Airflow 1.9.0
> Reporter: David Volquartz Lebech
> Assignee: David Volquartz Lebech
> Priority: Minor
>
> For the Google Cloud ML Engine Training Operator (in {{contrib}}), the [current list of arguments|https://github.com/apache/incubator-airflow/blob/b918a4976a641a3c944ef4ad4323fe25bd219ea0/airflow/contrib/operators/mlengine_operator.py#L538-L544] does not seem to include the option for specifying runtime and Python version which limits execution to Python 2.7.
> It seems that simply adding {{runtimeVersion}} and {{pythonVersion}} to the list would be enough to make this work, according to [the documentations on ML engine|https://cloud.google.com/ml-engine/docs/tensorflow/versioning#set-python-version-training].
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)