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From "pangxiell (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-253) Net converter for caffe model
Date Wed, 16 Nov 2016 13:32:59 GMT

    [ https://issues.apache.org/jira/browse/SINGA-253?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15670428#comment-15670428
] 

pangxiell commented on SINGA-253:
---------------------------------

Have you supported proto.txt with trained.caffemodel which contain trained value and having
much meanings for transform platform and transform learning(something very useful like MXNET
https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter) ?
In a convert work, most important thing is the trained value.

> Net converter for caffe model
> -----------------------------
>
>                 Key: SINGA-253
>                 URL: https://issues.apache.org/jira/browse/SINGA-253
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: Xiangrui
>            Assignee: Xiangrui
>
> Convert caffe model into singa model.
> It is a very basic implementation. Now it can convert feed forward net and supports pysinga.
> Implementation method:
> 1. read proto file of caffe model using caffe.proto, and serialize it to string.
> 2. parse the string use singa model.proto and get the layer config.
> 3. setup each layer and add it to a feed forward net.



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