PistonY commented on issue #13709: Why FP16 training speed is too slow on Tesla 
T4 in Gluon?
URL: 
https://github.com/apache/incubator-mxnet/issues/13709#issuecomment-450801208
 
 
   @eric-haibin-lin  Hi~I test it with mxnet profiler 
[here](https://gist.github.com/PistonY/b9dfc38051f3fe6322f154ec4664d0eb) are my 
script and result.It looks good.
   But when I actually use it,it's still slow.
   Here is 
[script](https://gist.github.com/PistonY/1b869bcd92189b1c84d43d69989a401d).
   I print time between
   ```python
   st_t = time()
   with autograd.record():
          output = train_net(trans.astype(dtype, copy=False))
          loss = Loss(output, labels.astype(dtype, copy=False))
   loss.backward()
   trainer.step(batch_size)
   end_t = time()
   print(end_t - st_t)
   ```
   when fp16:
   ```shell
   float16
   Start training with mixup.
   [15:23:12] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running 
performance tests to find the best convolution algorithm, this can take a 
while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   2.0626039505004883
   0.26385951042175293
   0.2520616054534912
   0.2604227066040039
   0.25570082664489746
   0.26578330993652344
   0.25952720642089844
   0.2606792449951172
   0.2637202739715576
   0.3433563709259033
   0.2613410949707031
   ```
   fp32:
   ```shell
   float32
   Start training with mixup.
   [15:36:23] src/operator/nn/./cudnn/./cudnn_algoreg-inl.h:97: Running 
performance tests to find the best convolution algorithm, this can take a 
while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable)
   0.8311986923217773
   0.20481181144714355
   0.278350830078125
   0.18038034439086914
   0.21913409233093262
   0.2587764263153076
   0.17470550537109375
   0.21522021293640137
   0.2749063968658447
   0.2962362766265869
   0.2280411720275879
   0.37300872802734375
   0.18066024780273438
   0.28769636154174805
   0.2858397960662842
   0.28676462173461914
   0.24347591400146484
   0.23549628257751465
   0.29531288146972656
   ```

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