[
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)