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Posted to dev@mxnet.apache.org by "Yizhi Liu (JIRA)" <ji...@apache.org> on 2018/01/16 18:38:01 UTC

[jira] [Commented] (MXNET-4) Performance: Refactor Random and ParallelRandom resources to use MKL for MKL builds

    [ https://issues.apache.org/jira/browse/MXNET-4?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16327556#comment-16327556 ] 

Yizhi Liu commented on MXNET-4:
-------------------------------

I think it's easier to have Random support MKL since they both design to fulfill an array.

> Performance: Refactor Random and ParallelRandom resources to use MKL for MKL builds
> -----------------------------------------------------------------------------------
>
>                 Key: MXNET-4
>                 URL: https://issues.apache.org/jira/browse/MXNET-4
>             Project: Apache MXNet
>          Issue Type: Improvement
>            Reporter: Chris Olivier
>            Priority: Major
>
> Refactor Random and ParallelRandom resources to use MKL for MKL builds
> Things such as RngUniform, etc.  Similarly to what is done for dropout operator.



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