bandito90 opened a new issue #20651:
URL: https://github.com/apache/incubator-mxnet/issues/20651
## 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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