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Posted to jira@arrow.apache.org by "Micah Kornfield (Jira)" <ji...@apache.org> on 2020/10/01 16:16:00 UTC

[jira] [Commented] (ARROW-10101) [Java] Implement non-sparse tensors

    [ https://issues.apache.org/jira/browse/ARROW-10101?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17205651#comment-17205651 ] 

Micah Kornfield commented on ARROW-10101:
-----------------------------------------

[~lidavidm] i took a very cursory look at the code and it seems straight-forward.  But one question, I had is if there is an existing OSS tensor model that makes sense for us to re-use or is the Arrow off-heap/object model enough of a snowflake to make that impractical?

> [Java] Implement non-sparse tensors
> -----------------------------------
>
>                 Key: ARROW-10101
>                 URL: https://issues.apache.org/jira/browse/ARROW-10101
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Java
>            Reporter: David Li
>            Assignee: David Li
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> We'd like to be able to round-trip NumPy ndarrays through Java, and create tensors in Java that can be eventually mapped to ndarrays in Python. Having even a basic Tensor implementation, with extension types, as a contrib module would help greatly.
> Some prior discussions
>  * [https://lists.apache.org/thread.html/9b142c1709aa37dc35f1ce8db4e1ced94fcc4cdd96cc72b5772b373b%40%3Cdev.arrow.apache.org%3E]



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