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From "Chris Olivier (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (MXNET-158) Training with the same parameters and seed gets significantly different results
Date Mon, 09 Apr 2018 15:26:00 GMT

     [ https://issues.apache.org/jira/browse/MXNET-158?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Chris Olivier reassigned MXNET-158:
-----------------------------------

    Assignee: Anirudh Subramanian  (was: Chris Olivier)

Looks to be something with the engine or some other fundamental problem, since the behavior
can't be reproduced alone with the operators – but only with the full resnet model (not
a simpler model, either).

I spent several days on this, but I think it would be more efficient for Eric to take a look.

 

> Training with the same parameters and seed gets significantly different results
> -------------------------------------------------------------------------------
>
>                 Key: MXNET-158
>                 URL: https://issues.apache.org/jira/browse/MXNET-158
>             Project: Apache MXNet
>          Issue Type: Bug
>            Reporter: Rahul Huilgol
>            Assignee: Anirudh Subramanian
>            Priority: Critical
>
> https://github.com/apache/incubator-mxnet/issues/9410



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