cupynumeric.random.randn#

cupynumeric.random.randn(d0, d1, ..., dn)#

Return a sample (or samples) from the “standard normal” distribution.

If positive int_like arguments are provided, randn generates an array of shape (d0, d1, ..., dn), filled with random floats sampled from a univariate “normal” (Gaussian) distribution of mean 0 and variance 1. A single float randomly sampled from the distribution is returned if no argument is provided.

Parameters:

d0 (int, optional) – The dimensions of the returned array, must be non-negative. If no argument is given a single float is returned.
d1 (int, optional) – The dimensions of the returned array, must be non-negative. If no argument is given a single float is returned.
... (int, optional) – The dimensions of the returned array, must be non-negative. If no argument is given a single float is returned.
dn (int, optional) – The dimensions of the returned array, must be non-negative. If no argument is given a single float is returned.

Returns:

Z – A (d0, d1, ..., dn)-shaped array of floating-point samples from the standard normal distribution, or a single such float if no parameters were supplied.

Return type:

ndarray or float