[GitHub] [incubator-mxnet] sxjscience edited a comment on issue #17665: No speedup from using FP16 (4 times slower than PyTorch)

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sxjscience edited a comment on issue #17665: No speedup from using FP16 (4 
times slower than PyTorch)
URL: 
https://github.com/apache/incubator-mxnet/issues/17665#issuecomment-591832250
 
 
   I can replicate the performance gap. Also, I added `mx.nd.waitall()` in the 
first script:
   
   ```python
   import mxnet as mx
   import numpy as np
   import time
   
   n = 2**14
   
   ctx = mx.gpu(0)
   dtype = np.float16
   
   with ctx:
       a = mx.nd.zeros((n, n), dtype=dtype)
       b = mx.nd.zeros((n, n), dtype=dtype)
       c = mx.nd.zeros((n, n), dtype=dtype)
   mx.nd.waitall()
   
   tic = time.time()
   for _ in range(100):
       mx.nd.dot(a, b, out=c)
       res = float(c[0, 0].asscalar()) # "use" the result
   print(time.time() - tic)
   ```

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