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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2017/12/15 19:05:01 UTC

[GitHub] ptrendx commented on issue #9087: MXNET 1.0.0 - marginal performance improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5

ptrendx commented on issue #9087: MXNET 1.0.0 - marginal performance improvement Titan V (Volta) with half precision cuda 9.0 + cudnn 7.0.5
URL: https://github.com/apache/incubator-mxnet/issues/9087#issuecomment-352086197
 
 
   1. CIFAR has really small images, which do not really stress the GPU. For benchmarking purposes ImageNet is much better.
   2. Set env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 2 - it is possible that MXNet does not choose the best cudnn algo (TensorCore) for Titan V in your case.

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