You are viewing a plain text version of this content. The canonical link for it is here.

Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/05/04 08:21:40 UTC

[GitHub] snflake commented on issue #10804: Use depthwise convolution(group convolution) by cuDNNv7 if available

snflake commented on issue #10804: Use depthwise convolution(group convolution) by cuDNNv7 if available
URL: https://github.com/apache/incubator-mxnet/pull/10804#issuecomment-386534903
 
 
   Great work! This seems to explain the current low performance of Mxnet compared to Tensorflow when dilation rate > 1 is used together with depthhwise convolution. PR #7393 only addresses dilation rate = 1. Tensorflow custom CUDA implementation also works with dilation rate 1. They use CuDNN otherwise. The reason is MxNet did not use group feature of CuDNN v7 which is implemented in this PR.
   Would you fix merge failure? I would like to test this.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services