dpnp.random.RandomState.standard_normal

method

RandomState.standard_normal(size=None, usm_type='device')[source]

Draw samples from a standard Normal distribution (mean=0, stdev=1).

For full documentation refer to numpy.random.RandomState.standard_normal.

Parameters:: usm_type ({"device", "shared", "host"}, optional) -- The type of SYCL USM allocation for the output array.
Returns:: out -- A floating-point array of shape size of drawn samples, or a single sample if size was not specified. Output array data type is dpnp.float64 if device supports it, or dpnp.float32 otherwise.
Return type:: dpnp.ndarray

Examples

>>> s = dpnp.random.RandomState().standard_normal(size=(3, 5))
>>> print(s)
[[-0.84401099 -1.81715362 -0.54465213  0.18557831  0.28352814]
 [ 0.67718303  1.11570901  1.21968665 -1.18236388  0.08156915]
 [ 0.21941987 -1.24544512  0.63522211 -0.673174    0.        ]]