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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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Labels: performance (was: )
> 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
> Labels: performance
>
> 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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