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 2019/03/25 05:09:46 UTC
[GitHub] [incubator-mxnet] vc384 commented on issue #13928: MXNet 1.5.0 is
slower than 1.3.0 when intputs are variant
vc384 commented on issue #13928: MXNet 1.5.0 is slower than 1.3.0 when intputs are variant
URL: https://github.com/apache/incubator-mxnet/issues/13928#issuecomment-476056800
I met the same problem, I have a project with dilation convolution (resnet backbone). If I use a mxnet1.3.1-cu80 (pip install), the speed is 0.18~0.19s one iter. However, when I switch to mxnet1.4.0-cute80(pip install), the speed drop to 0.19~0.20s one iter. The speed drop slightly, I confused with this problem.
OS: Ubuntu 16.04
Driver: 384.130
CUDA: 8.0
cudnn: maybe 7.4.1 or 6.0.21
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to 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