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Posted to dev@singa.apache.org by "Sheng Wang (JIRA)" <ji...@apache.org> on 2015/12/29 04:58:49 UTC

[jira] [Resolved] (SINGA-116) Fix a bug in InnerProductLayer caused by weight matrix sharing

     [ https://issues.apache.org/jira/browse/SINGA-116?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sheng Wang resolved SINGA-116.
------------------------------
    Resolution: Fixed

> Fix a bug in InnerProductLayer caused by weight matrix sharing
> --------------------------------------------------------------
>
>                 Key: SINGA-116
>                 URL: https://issues.apache.org/jira/browse/SINGA-116
>             Project: Singa
>          Issue Type: Bug
>            Reporter: wangwei
>            Assignee: wangwei
>
> There is a bug in the implementation of InnerProductLayer, which appears when training the auto-encoder example.
> The weight matrix in inner-product layer in the encoder is shared by another layer in the decoder. But the decoder uses transposed version.
> The current code does not handle matrix transposition.
> The bug can be fixed considering the transpose_ field explicitly.
> We may later handle it implicitly using a Tensor class that handles transposition automatically.



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