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 2016/09/27 01:32:20 UTC
[jira] [Updated] (SINGA-137) To be compatible with Caffe's data
format and neural net configuration
[ https://issues.apache.org/jira/browse/SINGA-137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
wangwei updated SINGA-137:
--------------------------
Assignee: Xiangrui
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)