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