[
https://issues.apache.org/jira/browse/SINGA-473?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16903747#comment-16903747
]
ASF subversion and git services commented on SINGA-473:
-------------------------------------------------------
Commit 9daeb9e1b13e18db437080785288997bb67f216c in incubator-singa's branch
refs/heads/master from chrishkchris
[ https://gitbox.apache.org/repos/asf?p=incubator-singa.git;h=9daeb9e ]
Merge pull request #1 from apache/master
SINGA-473
> Implement ONNX Operators in Autograd: Trigonometry functions
> ------------------------------------------------------------
>
> Key: SINGA-473
> URL: https://issues.apache.org/jira/browse/SINGA-473
> Project: Singa
> Issue Type: New Feature
> Components: Module
> Reporter: YEUNG SAI HO
> Priority: Major
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The Open Neural Network Exchange (ONNX) is a format for interchanging neural
> network models between AI systems. There is a list of ONNX operators defined
> in https://github.com/onnx/onnx/blob/master/docs/Operators.md
> We are going to implement more ONNX operators in our Autograd module
> (incubator-singa/python/singa/autograd.py). First of all, this ticket
> implements 11 unary Trigonometry functions in the Autograd module, which are:
> 1. cos
> 2. cosh
> 3. sin
> 4. sinh
> 5. tan
> 6. acos
> 7. acosh
> 8. asin
> 9. asinh
> 10. atan
> 11. atanh
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
