YouTip

# Using Fixed'sGenerating Random Tensors with Mean and Standard Deviation result1 = torch.normal(mean=0.0, std=1.0, size=(3,3)) print("Mean 0, Standard Deviation 1 's 3x3 Normally Distributed Random Tensor:") print(result1) # Using Tensors as Mean and Standard Deviation mean = torch.tensor([0.0,1.0,2.0]) std = torch.tensor([1.0,2.0,3.0]) result2 = torch.normal(mean, std) print("nUsing Tensor Parameters'sSampling Results:") print(result2) # Using Scalar Mean and Tensor Standard Deviation result3 = torch.normal(mean=0.0, std=torch.tensor([1.0,2.0,3.0])) print("nScalar Mean, Tensor Standard Deviation'sSampling Results:") print(result3)

---

Pytorch torch Reference Manual