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From "Wang Ji (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-137) To be compatible with Caffe's data format and neural net configuration
Date Tue, 27 Sep 2016 08:54:20 GMT

    [ https://issues.apache.org/jira/browse/SINGA-137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15525529#comment-15525529
] 

Wang Ji commented on SINGA-137:
-------------------------------

For now, after turn on _packed_ option in protobuf message, the vgg-16 model is 528MB

> To be compatible with Caffe's data format and neural net configuration
> ----------------------------------------------------------------------
>
>                 Key: SINGA-137
>                 URL: https://issues.apache.org/jira/browse/SINGA-137
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>            Assignee: Xiangrui
>              Labels: Caffe
>
> Caffe has many built-in models and a large user base.
> If we can train over Caffe's data (input data prepared using Caffe's tools) and neural
net configuration, it would help users to switch from Caffe to SINGA for distributed training.

> Here are two options.
> 1. update SINGA's variable name and some data structure to be consistent with Caffe.
> 2. write scripts/tools to convert Caffe's configuration protocol into SINGA protocol.



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