cupy.random.lognormal

cupy.random.lognormal(mean=0.0, sigma=1.0, size=None, dtype=<class 'float'>)[source]

Returns an array of samples drawn from a log normal distribution.

The samples are natural log of samples drawn from a normal distribution with mean mean and deviation sigma.

Parameters:
  • mean (float) – Mean of the normal distribution.
  • sigma (float) – 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:

Samples drawn from the log normal distribution.

Return type:

cupy.ndarray

See also

numpy.random.lognormal()