Question about torch.distributions.normal

If the input are multi-dimensional tensors, dose it wil generate seperate normal distributions?
For example,
dis = Normal ( torch.tensor([1.0, 200.0]), torch.tensor([1.0, 2.0]) )

Will it give tow seperate normal distributions with Normal1(mu = 1.0, sigma = 1.0) and Normal2(mu = 200.0, sigma = 2.0) ?

Thanks for your answers

Yes it will exactly do that :+1: