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https://issues.apache.org/jira/browse/SINGA-137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15525451#comment-15525451
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pangxiell commented on SINGA-137:
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Thanks!
Your works will cover Pretain VGG Model from caffe?
I find that Mxnet have done some similar work.
Singa attract me because it's elegance architecture and clean code.
But i think maybe it should support more features.
EG.
1.save checkpoint(trained parameter file) with cpp interface--when use in
mobile device,this is important.
2.support popular mode as VGG \Googlenet\resnet.
> 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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