solin319 opened a new issue #11061: mx.nd.argmax is slow
URL: https://github.com/apache/incubator-mxnet/issues/11061
 
 
   ```
   import time
   import mxnet as mx
   import numpy as np
   import os
   tmp = mx.nd.random.uniform(-1, 1, shape=(64,300000), ctx=mx.gpu())
   #tmp = np.random.RandomState().uniform(-1, 1, (64,300000))
   tic = time.time()
   for i in range(20):
      if (i == 5):
           begin = time.time();
      elif (i == 15):
           end = time.time();
      tic = time.time()
      max = mx.nd.argmax(tmp, axis=1)
      #max = np.argmax(tmp, axis=1)
      print max[0]
      toc = time.time() - tic
      print ("used time %f:"%toc)
   avg = (end - begin) / 10
   print ("avg time %f"%avg)
   
   ```
   We use code before to test the speed of argmax.
   NDArray in cpu use 0.112895s.
   NDArray in gpu use 0.280577.
   numpy.array only use 0.018021.
   
   Why mx.nd.argmax is so slow?

----------------------------------------------------------------
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:
us...@infra.apache.org


With regards,
Apache Git Services

Reply via email to