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From "Wangda Tan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-8220) Running Tensorflow on YARN with GPU and Docker - Examples
Date Mon, 25 Jun 2018 21:46:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-8220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16522855#comment-16522855
] 

Wangda Tan commented on YARN-8220:
----------------------------------

Attached ver.3 patch, added several fixes to submit-tf-job.py helper script. And added tensorboard
to example launch spec. Thanks [~yanboliang] for offline suggestions and helps of these changes.

> Running Tensorflow on YARN with GPU and Docker - Examples
> ---------------------------------------------------------
>
>                 Key: YARN-8220
>                 URL: https://issues.apache.org/jira/browse/YARN-8220
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: yarn-native-services
>            Reporter: Sunil Govindan
>            Assignee: Sunil Govindan
>            Priority: Critical
>         Attachments: YARN-8220.001.patch, YARN-8220.002.patch, YARN-8220.003.patch
>
>
> Tensorflow could be run on YARN and could leverage YARN's distributed features.
> This spec fill will help to run Tensorflow on yarn with GPU/docker



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