[ https://issues.apache.org/jira/browse/YARN-8220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wangda Tan updated YARN-8220: ----------------------------- Description: -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- Please go to YARN-8135 Submarine for deep learning framework support on YARN. was: 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 > 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, YARN-8220.004.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- > > Please go to YARN-8135 Submarine for deep learning framework support on YARN. -- 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