cupy.random.normal

cupy.random.normal(loc=0.0, scale=1.0, size=None, dtype=<class 'float'>)[source]

Returns an array of normally distributed samples.

Parameters:
  • loc (float or array_like of floats) – Mean of the normal distribution.
  • scale (float or array_like of floats) – Standard deviation of the normal distribution.
  • size (int or tuple of ints) – The shape of the array. If None, a zero-dimensional array is generated.
  • dtype – Data type specifier. Only numpy.float32 and numpy.float64 types are allowed.
Returns:

Normally distributed samples.

Return type:

cupy.ndarray

See also

numpy.random.normal()