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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-267) Add spatial mode in batch normalization layer
Date Sun, 23 Oct 2016 14:15:58 GMT

    [ https://issues.apache.org/jira/browse/SINGA-267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15599750#comment-15599750
] 

ASF subversion and git services commented on SINGA-267:
-------------------------------------------------------

Commit fac3af94990e4c9977f82a11ae85f89de9dbb463 in incubator-singa's branch refs/heads/master
from WANG Ji
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=fac3af9 ]

SINGA-267 Add spatial mode in batch normalization layer

Revise batchnorm test cases for spatial mode.


> Add spatial mode in batch normalization layer 
> ----------------------------------------------
>
>                 Key: SINGA-267
>                 URL: https://issues.apache.org/jira/browse/SINGA-267
>             Project: Singa
>          Issue Type: Improvement
>            Reporter: Wang Ji
>
> Add spatial mode in batch normalization layer in C++ implementation, which corresponds
to CUDNN_BATCHNORM_SPATIAL in CuDNN. 
> Also add logics to automatically detect proper modes in batch normalization layer, i.e.,
if input is 2D tensor then batchnorm layer chooses PER_ACTIVATION mode, if input is 4D tensor
then batchnorm layer chooses SPATIAL mode.



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