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Posted to dev@submarine.apache.org by "Zhankun Tang (Jira)" <ji...@apache.org> on 2019/12/17 03:37:00 UTC
[jira] [Resolved] (SUBMARINE-36) [Submarine] Support fault
tolerance when Tensorflow worker container fails
[ https://issues.apache.org/jira/browse/SUBMARINE-36?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Zhankun Tang resolved SUBMARINE-36.
-----------------------------------
Resolution: Won't Fix
TonY should have already supported this.
> [Submarine] Support fault tolerance when Tensorflow worker container fails
> --------------------------------------------------------------------------
>
> Key: SUBMARINE-36
> URL: https://issues.apache.org/jira/browse/SUBMARINE-36
> Project: Apache Submarine
> Issue Type: New Feature
> Reporter: Zhankun Tang
> Assignee: Zhankun Tang
> Priority: Major
>
> 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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