singa-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Moaz Reyad (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-349) Create layer operations for autograd
Date Mon, 21 May 2018 04:23:00 GMT

    [ https://issues.apache.org/jira/browse/SINGA-349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16482173#comment-16482173
] 

Moaz Reyad commented on SINGA-349:
----------------------------------

If this task is already done and autograd is now ready, may be we need to :

* Update SINGA's Automatic differentiation status in Wikipedia page (https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software).

* Announce this new feature on SINGA social network accounts (See SINGA-366), since it is
a major issue. The announcement may explain this new feature in few lines with an example.

> 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.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Mime
View raw message