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 2018/08/28 12:46:02 UTC

[GitHub] shesung commented on issue #11076: [MXNET-491] Use depthwise convolution by cuDNNv7 if available, updated version

shesung commented on issue #11076: [MXNET-491] Use depthwise convolution by cuDNNv7 if available, updated version
URL: https://github.com/apache/incubator-mxnet/pull/11076#issuecomment-416570195
 
 
   I observed a dramatic performance drop when using mxnet 1.2.1 + cuda8 + cudnn 7.2.1 on 1080ti 
   input_size = (448, 800)
   
   mobilenet_v1 :  137 fps  -> 41 fps
   mobilenet_v2 : 180 fps ->  57 fps
   
   And it used a lot of gpu memory
   
   Any advices?

----------------------------------------------------------------
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