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 ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
