You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@singa.apache.org by "YEUNG SAI HO (Jira)" <ji...@apache.org> on 2019/11/04 01:58:00 UTC
[jira] [Resolved] (SINGA-473) Implement ONNX Operators in Autograd:
Trigonometry functions
[ https://issues.apache.org/jira/browse/SINGA-473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
YEUNG SAI HO resolved SINGA-473.
--------------------------------
Resolution: Done
Implemented the Trigonometry functions
> 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
(v8.3.4#803005)