megengine.random.normal¶

normal(mean=0, std=1, size=None)¶

Random variable with Gaussian distribution \(N(\mu, \sigma)\).

Parameters

mean (float) – the mean or expectation of the distribution. Default: 0.
std (float) – the standard deviation of the distribution (variance = \(\sigma ^ 2\)). Default: 1.
size (Optional[Iterable[int]]) – the size of output tensor. Default: None.

Returns

tensor. The random variable with Gaussian distribution.

Return type

Return type

Examples

>>> import megengine.random as rand
>>> x = rand.normal(mean=0, std=1, size=(2, 2))
>>> x.numpy()   
array([[ 1.5534291 , -0.28356555],
       [ 2.2230418 , -0.92425716]], dtype=float32)

megengine.random.shuffle

megengine.random.uniform