You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@mxnet.apache.org by "Piyush Ghai (JIRA)" <ji...@apache.org> on 2019/01/02 23:03:00 UTC
[jira] [Updated] (MXNET-1286) Train a Float64 model in Python in
order to verify MXNET-1278
[ https://issues.apache.org/jira/browse/MXNET-1286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Piyush Ghai updated MXNET-1286:
-------------------------------
Status: Done (was: In Progress)
> Train a Float64 model in Python in order to verify MXNET-1278
> -------------------------------------------------------------
>
> Key: MXNET-1286
> URL: https://issues.apache.org/jira/browse/MXNET-1286
> Project: Apache MXNet
> Issue Type: Sub-task
> Components: Apache MXNet Scala API
> Reporter: Piyush Ghai
> Assignee: Piyush Ghai
> Priority: Minor
>
> To load a pre-trained model, we need to access a model or try to train a simple model using Float64 as the input types.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@mxnet.apache.org
For additional commands, e-mail: issues-help@mxnet.apache.org