You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@singa.apache.org by "wangwei (JIRA)" <ji...@apache.org> on 2016/06/10 07:33:21 UTC

[jira] [Updated] (SINGA-193) Add Python base layer class and dense layer class

     [ https://issues.apache.org/jira/browse/SINGA-193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

wangwei updated SINGA-193:
--------------------------
    Description: 
This ticket creates the base python layer for V1, which differs to the python layers of v0,3 in terms of the layer construction.
The python layers should provide intuitive APIs for uses to configure the layer. Keras API would be a reference.
We need to consider the param specs in the layer creation which is missing in Keras APIs.
The python layer would be uniform for cudnn, opencl and cpp. A backend field would be used to create the C++ layer, e.g., cudnnPooling or openclPooling. 

The python version of dense layer would be provided as an example.


  was:
The python layers should provide intuitive APIs for uses to configure the layer. Keras API would be a reference.
We need to consider the param specs in the layer creation which is missing in Keras APIs.
The python layer would be uniform for cudnn, opencl and cpp. A backend field would be used to create the C++ layer, e.g., cudnnPooling or openclPooling. 

The python version of dense layer would be provided as an example.



> Add Python base layer class and dense layer class
> -------------------------------------------------
>
>                 Key: SINGA-193
>                 URL: https://issues.apache.org/jira/browse/SINGA-193
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>            Assignee: wangwei
>
> This ticket creates the base python layer for V1, which differs to the python layers of v0,3 in terms of the layer construction.
> The python layers should provide intuitive APIs for uses to configure the layer. Keras API would be a reference.
> We need to consider the param specs in the layer creation which is missing in Keras APIs.
> The python layer would be uniform for cudnn, opencl and cpp. A backend field would be used to create the C++ layer, e.g., cudnnPooling or openclPooling. 
> The python version of dense layer would be provided as an example.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)