xianyujie commented on issue #15108: The test time of the model on GPU is 
normal, but the test time on CPU is very long.
URL: 
https://github.com/apache/incubator-mxnet/issues/15108#issuecomment-498126043
 
 
   @pengzhao-intel the mkl build brings great performance to both models, but 
the issue still exits. 
   By testing the run time of different network layers, I found that the 
problem occurred in most of the conv2_weight layers. The symbol.json of both 
models are same, and it's just that the value of arg_params is different, why 
does it make a huge difference in the running time of the model?

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