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From "YEUNG SAI HO (Jira)" <j...@apache.org>
Subject [jira] [Closed] (SINGA-473) Implement ONNX Operators in Autograd: Trigonometry functions
Date Mon, 04 Nov 2019 02:03:00 GMT

     [ https://issues.apache.org/jira/browse/SINGA-473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

YEUNG SAI HO closed SINGA-473.
------------------------------

closed

> 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



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