Tensor.normal()
Creates a tensor with values drawn from a normal distribution of mean 0 and variance 1 (also called the standard normal distribution) with the specified shape.
Usage
from tinygrad.tensor import Tensor
tensor = Tensor.normal(3, 3)
print(tensor.numpy())
Return value
[[ 1.8869411 -0.6977681 2.087624 ]
[ 0.2124444 -1.7676528 0.3035886 ]
[ 0.4465527 -0.15774664 1.5492326 ]]