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https://issues.apache.org/jira/browse/YARN-8220?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16498929#comment-16498929
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Eric Yang commented on YARN-8220:
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[~sunilg] ENTRYPOINT could be anything even bash. If you want a more flexible
image, you can use python as ENTRYPOINT, and specify cifar10_main.py as a
parameter. It is mostly a mirror image of what you can do with a shell prompt
except pipe or output redirection are not support by default. There is one
less child process (bash) between node manager to end user application to keep
it more efficient, secure, and avoid some race conditions between first program
logging and mounting external log directory to log in some scenarios.
> 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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