You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2017/02/12 19:19:42 UTC

[jira] [Commented] (ARROW-550) [Format] Add a TensorMessage type

    [ https://issues.apache.org/jira/browse/ARROW-550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15862920#comment-15862920 ] 

Wes McKinney commented on ARROW-550:
------------------------------------

[~pcmoritz] [~robertnishihara] could you elaborate on your needs in the Ray project? I want to make sure we're supporting your use case well. 

> [Format] Add a TensorMessage type
> ---------------------------------
>
>                 Key: ARROW-550
>                 URL: https://issues.apache.org/jira/browse/ARROW-550
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Format
>            Reporter: Wes McKinney
>
> Since all data message types at the moment are 1-dimensional, a "tensor" message will contain an array of dimensions and an order flag (C order vs. Fortran order) to enable data to be interpreted as multiple dimensions. This is similar to multidimensional arrays in APL or Fortran or MATLAB, ndarrays in NumPy, etc.



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)