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https://issues.apache.org/jira/browse/SINGA-349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16480138#comment-16480138
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ASF subversion and git services commented on SINGA-349:
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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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