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