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https://issues.apache.org/jira/browse/SINGA-349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16480139#comment-16480139
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ASF subversion and git services commented on SINGA-349:
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Commit 5abcc6e0dd803fa8a631d957765891cf5e836ec3 in incubator-singa's branch
refs/heads/master from xuewanqi
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=5abcc6e ]
SINGA-349 Create layer operations for autograd
1. layer operations works well.
2. following steps :
- to change the API to Pytorch style.
- add flags in forward and backward function
- realize changeable initialization methods.
> 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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