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https://issues.apache.org/jira/browse/SINGA-348?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16435225#comment-16435225
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ASF subversion and git services commented on SINGA-348:
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Commit f42d4d076df55527c34fd6816580e097d908710b in incubator-singa's branch
refs/heads/master from Wang Wei
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=f42d4d0 ]
SINGA-348 Support autograd MLP Example
1. rename tensor.Tensor's attribute singa_tensor to data and add CTensor
for singa.Tensor
2. update Operation and autograd to simplify the code. The dependency is
recorded in a simple Counter: op -> #children ops
3. update the comments of some operations and autograd
4. made some changes in design
5. add operation.requires_grad, which is helpful in avoiding unnecessary
calculations.
6. a question left: broadcast elementwise multiply seems not support, bring
problems when sent CTensor gradient to loss.backward
> Support autograd MLP example
> ----------------------------
>
> Key: SINGA-348
> URL: https://issues.apache.org/jira/browse/SINGA-348
> Project: Singa
> Issue Type: New Feature
> Reporter: Xue Wanqi
> Priority: Major
>
> Implement a basic autograd system which supports parts of operations.
> Realize a MLP example base on the implemented autograd system.
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