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From "Chris Olivier (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MXNET-4) Performance: Refactor Random and ParallelRandom resources to use MKL for MKL builds
Date Tue, 16 Jan 2018 18:35:00 GMT

     [ https://issues.apache.org/jira/browse/MXNET-4?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Chris Olivier updated MXNET-4:
------------------------------
    Summary: Performance: Refactor Random and ParallelRandom resources to use MKL for MKL
builds  (was: [MXNET-4] Performance: Refactor Random and ParallelRandom resources to use MKL
for MKL builds)

> 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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