sxjscience commented on issue #11061:
URL:
https://github.com/apache/incubator-mxnet/issues/11061#issuecomment-701217514
Even in the latest MXNet 2.0, this performance issue was not solved:
- Speed of topk(k=1)
```python
import time
import mxnet as mx
import numpy as np
import os
tmp = mx.np.random.normal(-1, 1, (64,300000), ctx=mx.gpu())
tic = time.time()
for i in range(20):
if (i == 5):
begin = time.time();
elif (i == 15):
end = time.time();
tic = time.time()
out = mx.npx.topk(tmp, k=1, ret_typ='indices', axis=1, dtype=np.int32)
out.wait_to_read()
toc = time.time() - tic
print ("used time %f:"%toc)
avg = (end - begin) / 10
print("avg time %f"%avg)
```
Output:
```
used time 0.001522:
used time 0.001141:
used time 0.001141:
used time 0.001094:
used time 0.001081:
used time 0.001080:
used time 0.001086:
used time 0.001089:
used time 0.001075:
used time 0.001085:
used time 0.00108
```
- Speed of argmax:
```python
import time
import mxnet as mx
import numpy as np
import os
tmp = mx.np.random.normal(-1, 1, (64,300000), ctx=mx.gpu())
tic = time.time()
for i in range(20):
if (i == 5):
begin = time.time();
elif (i == 15):
end = time.time();
tic = time.time()
out = mx.np.argmax(tmp, axis=1)
out.wait_to_read()
toc = time.time() - tic
print ("used time %f:"%toc)
avg = (end - begin) / 10
print("avg time %f"%avg)
```
Output
```
used time 0.063610:
used time 0.060543:
used time 0.059911:
used time 0.059865:
used time 0.055048:
used time 0.054780:
used time 0.054773:
used time 0.054817:
used time 0.054653:
used time 0.054758:
used time 0.054723:
used time 0.054765:
used time 0.054680:
used time 0.054769:
```
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