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