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From "wangwei (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SINGA-142) A bug in BPTTWorker::Backward() function with layers partially unrolled in neuralnet
Date Thu, 06 Oct 2016 08:16:20 GMT

     [ https://issues.apache.org/jira/browse/SINGA-142?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

wangwei closed SINGA-142.
-------------------------
    Resolution: Fixed

> A bug in BPTTWorker::Backward() function with layers partially unrolled in neuralnet
> ------------------------------------------------------------------------------------
>
>                 Key: SINGA-142
>                 URL: https://issues.apache.org/jira/browse/SINGA-142
>             Project: Singa
>          Issue Type: Bug
>            Reporter: Zheng Kaiping
>
> This is in SINGA_HOME/src/work.cc, in “void BPTTWorker::Backward (int step, NeuralNet*
net) {}” function. It affects training in neuralnets with partially unrolled layers.
> To be specific, there is no need to consider non-unrolled layers (i.e, without parameter
sharing) when aggregating gradients for parameters.



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