[GitHub] cuteding opened a new issue #7588: Why a same code's GPU version cost more memory than CPU version?

[gi...@git.apache.org]

cuteding opened a new issue #7588: Why a same code's GPU version cost more memory than CPU version?
URL: https://github.com/apache/incubator-mxnet/issues/7588
 
 
   I made a very simple network using mxnet(two fc layers with dim of 512).
   
   By changing the ctx = mx.cpu() or ctx = mx.gpu(0), I run the same code on both CPU and GPU.
   
   The memory cost of GPU is much bigger than CPU version.(I checked that using top instead of nvidia-smi).
   
   It seems strange, as the GPU version also has memory on GPU already, why GPU still need more space on memory?
   
   
   (line 1 is CPU program / line 2 is GPU program)
 
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