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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-349) Create layer operations for autograd
Date Fri, 18 May 2018 04:53:00 GMT

    [ https://issues.apache.org/jira/browse/SINGA-349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16480138#comment-16480138
] 

ASF subversion and git services commented on SINGA-349:
-------------------------------------------------------

Commit e4610e0379d387169c0aaf4d81f050318933ff09 in incubator-singa's branch refs/heads/master
from xuewanqi
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=e4610e0 ]

SINGA-349 Create layer operations for autograd

1.realize a simple convolution network based on autograd for test use.

2.the code is runnable on my computer, the training effect is obvious, the network parameters
explainable.


> Create layer operations for autograd
> ------------------------------------
>
>                 Key: SINGA-349
>                 URL: https://issues.apache.org/jira/browse/SINGA-349
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: Xue Wanqi
>            Priority: Major
>
> Add more larger autograd operations, such as convolution_2d(), pooling().
> These operations can be implemented in two ways:
> 1.create cpp operations and export them to python vis swig
> 2. by calling some existing layers, package the corresponding layers into new operations.
> The second method is preferred as it is much more easier.



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