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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/10/26 03:13:50 UTC
[GitHub] [incubator-mxnet] dibgerge opened a new issue #19423: Unexpected behavior of np.random.choice
dibgerge opened a new issue #19423:
URL: https://github.com/apache/incubator-mxnet/issues/19423
## Description
When using `np.random.choice(num, size=num, replace=False)`, where `num` is the same for the input array, and size of output array, then I am always getting a sorted array, i.e. same as `np.arange(num)`.
The expected output is to have a shuffled version of `np.arange(num)`. This is the behavior of native numpy.
## To Reproduce
```python
from mxnet import np
import numpy as npy
np.random.choice(10, size=10, replace=False)
# array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int64)
npy.random.choice(10, size=10, replace=False)
# array([7, 3, 0, 1, 5, 4, 9, 8, 6, 2])
````
## Environment
Mxnet 1.7
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[GitHub] [incubator-mxnet] xidulu commented on issue #19423: Unexpected behavior of np.random.choice
Posted by GitBox <gi...@apache.org>.
xidulu commented on issue #19423:
URL: https://github.com/apache/incubator-mxnet/issues/19423#issuecomment-716293493
@dibgerge
I believe there exists a bug in my implementation.
You could temporarily use `np.random.shuffle` as a work around.
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[GitHub] [incubator-mxnet] xidulu commented on issue #19423: Unexpected behavior of np.random.choice
Posted by GitBox <gi...@apache.org>.
xidulu commented on issue #19423:
URL: https://github.com/apache/incubator-mxnet/issues/19423#issuecomment-720513603
@sxjscience
Unfortunately, I do not have enough free time to look into this issue until this weekend. Also, I don't have computation resources for debugging the Op. But I could still provide help and information regarding the information as much as I could.
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[GitHub] [incubator-mxnet] sxjscience commented on issue #19423: Unexpected behavior of np.random.choice
Posted by GitBox <gi...@apache.org>.
sxjscience commented on issue #19423:
URL: https://github.com/apache/incubator-mxnet/issues/19423#issuecomment-720284678
@xidulu Would you have time to fix it? This is an important random op.
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