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https://issues.apache.org/jira/browse/SINGA-349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16480140#comment-16480140
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ASF subversion and git services commented on SINGA-349:
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Commit 6402a53d31185bb455c9d796b03d01f3dc476de3 in incubator-singa's branch
refs/heads/master from xuewanqi
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=6402a53 ]
SINGA-349 Create layer operations for autograd
1. Change the API of Conv2d operations into Pytorch style. next step is to
confirm the new design workable.
2. Add flags in Conv2d forward function
3. Delete extra file
> 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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