[ 
https://issues.apache.org/jira/browse/YARN-8220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16507523#comment-16507523
 ] 

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

Attached ver.2 patch, fixed jenkins reported warnings.

Addressed the {{git clone}} suggestion from [~eyang], now the scripts are 
embedded inside the project. 

For the entry point, it is a good feature but I think it may not be best suit 
the training example. We can consider to use it when we want to add the 
zeppelin + TF or tensorflow serving example. Sounds good, [~eyang]? 

> 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
>
>
> 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



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org

Reply via email to