Each element in a tensor as the mean to generate a Gaussian distribution

vision
1

Hi,
I have a tensor M=(1,2,3) , I want each as the mean to generate a Gaussian distribution.
The result is that M=( torch.empty(1).normal_(1, 1.0), torch.empty(1).normal_(2, 1.0), torch.empty(1).normal_(3, 1.0))

how I can do that?

2

Would a list comprehension work?

M = torch.tensor([1,2,3])
D = [torch.empty(1).normal_(m, 1.0) for m in M]