[GitHub] piyushghai commented on issue #13545: For inference, I have the same problem. The client send jpg to server, then the server use cv2 to do resize. When put the image data into the mx.nd.array, it's very slow. And the Utilization of GPU is low too. How to solve it? Thank you!

[GitBox <gi...@apache.org>]

piyushghai commented on issue #13545: For inference, I have the same problem. The client send jpg to server, then the server use cv2 to do resize. When put the image data into the mx.nd.array, it's very slow. And the Utilization of GPU is low too. How to solve it? Thank you!
URL: https://github.com/apache/incubator-mxnet/issues/13545#issuecomment-444573273
 
 
   Hi @Joke09 , 
   
   When you put your image data into the NDArray, can you also try to copy it to GPU using ```as_in_context``` method before passing it to your model ? 
   
   http://mxnet.incubator.apache.org/test/api/python/ndarray.html#mxnet.ndarray.NDArray.as_in_context 

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