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Posted to issues@mxnet.apache.org by "Ni Hui (JIRA)" <ji...@apache.org> on 2018/03/14 05:30:00 UTC

[jira] [Updated] (MXNET-97) implement DepthwiseConv2dBackwardFilterKernel from tensorflow codebase

     [ https://issues.apache.org/jira/browse/MXNET-97?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ni Hui updated MXNET-97:
------------------------
    Component/s: MXNet Engine

> implement DepthwiseConv2dBackwardFilterKernel from tensorflow codebase
> ----------------------------------------------------------------------
>
>                 Key: MXNET-97
>                 URL: https://issues.apache.org/jira/browse/MXNET-97
>             Project: Apache MXNet
>          Issue Type: Improvement
>          Components: MXNet Engine
>            Reporter: Ni Hui
>            Priority: Major
>
> The current mxnet implementation calls __syncthreads() function too much, which is extemely slow.
> The new code comes from tensorflow, but the variable names are adjusted for consistency.
> My model uses depthwise conv heavily, and now its training time per iteration is over 5x faster on single P40 gpu. ( old 92s vs new 18s )



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