Bug in nd.random.uniform()

[bandito90]

Description

According to the documentation of nd.random.uniform():

"Samples are uniformly distributed over the half-open interval [low, high) (includes low, but excludes high).

low (float or NDArray, optional) – Lower boundary of the output interval. All values generated will be greater than or equal to low. The default value is 0.

high (float or NDArray, optional) – Upper boundary of the output interval. All values generated will be less than high. The default value is 1.0."

However, when sampling a random uniform with bi-dimensional shape for instance, we can have some entries equal to 1. See example below to reproduce the error.

To Reproduce

import mxnet as mx
from mxnet import nd

mx.random.seed(0)
shape = (233, 45)

u = nd.max(nd.random.uniform(shape=shape))
count = 0
while u != 1.:
    u = nd.max(nd.random.uniform(shape=shape))
    count += 1
print(f"Got {u} after {count} iterations")

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