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Posted to issues@systemml.apache.org by "Mike Dusenberry (JIRA)" <ji...@apache.org> on 2017/03/10 05:12:38 UTC

[jira] [Commented] (SYSTEMML-1383) Performance testing of individual layer for common data shapes

    [ https://issues.apache.org/jira/browse/SYSTEMML-1383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15904452#comment-15904452 ] 

Mike Dusenberry commented on SYSTEMML-1383:
-------------------------------------------

+1  I'd like to graduate the `nn` soon, as it can provide a stable, performant, and mathematically-tested base for other algorithms to be built upon.  I do want to make an API change (passing in all outputs from the `forward` pass to the `backward` function) prior to the move.

> Performance testing of individual layer for common data shapes
> --------------------------------------------------------------
>
>                 Key: SYSTEMML-1383
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1383
>             Project: SystemML
>          Issue Type: Sub-task
>            Reporter: Niketan Pansare
>
> After performance testing, we can move the NN library from staging to utils or algorithms. Then we can extend source() method to read the nn layers/optimizer directly from jar as resource similar to mllearn algorithms.
> [~reinwald] [~mboehm7] [~mwdusenb@us.ibm.com]



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