[jira] [Commented] (SINGA-267) Add spatial mode in batch normalization layer

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    [ https://issues.apache.org/jira/browse/SINGA-267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15595439#comment-15595439 ] 

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

Commit 61faa840e155e4259920141c3c909483fa1c14f2 in incubator-singa's branch refs/heads/master from WANG Ji
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=61faa84 ]

SINGA-267 Add spatial mode in batch normalization layer

Added spatial mode in batch normalization layer in C++ implementation,
    which corresponds to CUDNN_BATCHNORM_SPATIAL in CuDNN.
Also added 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.


> 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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