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