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

     [ https://issues.apache.org/jira/browse/SINGA-476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

zhangzhaoqi updated SINGA-476:
------------------------------
    Description: 
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.

  was:
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.


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