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From "Sunil Govindan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-8220) Running Tensorflow on YARN with GPU and Docker - Examples
Date Sat, 02 Jun 2018 05:10:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-8220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16498882#comment-16498882
] 

Sunil Govindan commented on YARN-8220:
--------------------------------------

Hi [~eyang]

One quick doubt

bq.ENTRYPOINT, and CMD in Dockerfile

This means that the ENTRYPOINT and other CMDs are to be specified in Dockerfile. This means
we need different Dockerfiles to run different TF workload which may inconvenient, correct?
We could have changed jobs in Yarnfile itself. Pls correct me if I am wrong.

> 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
>
>
> 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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