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 2016/06/10 05:15:23 UTC

[jira] [Resolved] (SINGA-164) Add the base Tensor class

     [ https://issues.apache.org/jira/browse/SINGA-164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

wangwei resolved SINGA-164.
---------------------------
    Resolution: Fixed

> Add the base Tensor class
> -------------------------
>
>                 Key: SINGA-164
>                 URL: https://issues.apache.org/jira/browse/SINGA-164
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>            Assignee: wangwei
>
> Each Tensor instance is a multi-dimension array allocated on a device (e.g., GPU or CPU).
> Operations for linear algebra and neural networks will be implemented against Tensor. Other abstractions, e.g., Layer/Model, are on top of Tensor. Users can implement new layers/model using tensor operations without knowing the details of memory management and execution scheduling.
> Sparse Tensor would be considered later for special applications like Word2Vec model.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)