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From "Zhankun Tang (JIRA)" <j...@apache.org>
Subject [jira] [Created] (YARN-9167) [Submarine] Support fault tolerance when Tensorflow worker container fails
Date Wed, 02 Jan 2019 06:22:00 GMT
Zhankun Tang created YARN-9167:
----------------------------------

             Summary: [Submarine] Support fault tolerance when Tensorflow worker container
fails
                 Key: YARN-9167
                 URL: https://issues.apache.org/jira/browse/YARN-9167
             Project: Hadoop YARN
          Issue Type: Sub-task
            Reporter: Zhankun Tang
            Assignee: Zhankun Tang


A long-running Tensorflow job needs to restart failed worker containers when something unexpected
happens. Luckily that TF can restore checkpoints and continue training in a worker, a restart
of the worker container seems enough.



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