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From "zhangzhaoqi (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SINGA-476) Autograd operators for ONNX
Date Wed, 31 Jul 2019 03:56:00 GMT
zhangzhaoqi created SINGA-476:
---------------------------------

             Summary: Autograd operators for ONNX
                 Key: SINGA-476
                 URL: https://issues.apache.org/jira/browse/SINGA-476
             Project: Singa
          Issue Type: New Feature
            Reporter: zhangzhaoqi


Already implemented:

-LSTM-
-Multiply-
-Add-
-linear-
-relu-
-acos-
-cos-
-LeakyReLU-
-Softmax-
-MaxPooling2D-
-Conv2D-
-BatchNormalization-

 

To be implemented:

 

Reshape
Flatten
Dropout
max
shape
concatenate
Constant
L2Normalization
Expand
tile
squeeze
Dense*
TimeDistributed*
Bidirectional*
Stack*
Lambda*

*means this op doesn't have a corresponding one at ONNX op sets, therefore, it needs a converter
function by using basic op sets.



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