typeError: normal() received an invalid combination of arguments

I am a beginner, I tried the tutorial and got this error:

2x2: A uniform distributed random matrix with range [0, 1]

r = torch.Tensor(2, 2).uniform_(0, 1)

bernoulli

r = torch.bernoulli® # Size: 2x2. Bernoulli with probability p stored in elements of r

Multinomial

w = torch.Tensor([0, 4, 8, 2]) # Create a tensor of weights
r = torch.multinomial(w, 4, replacement=True) # Size 4: 3, 2, 1, 2

From 10 means and SD

r = torch.normal(means=torch.arange(1, 11), std=torch.arange(1, 0.1, -0.1)) # Size 10

TypeError Traceback (most recent call last)
in ()
14 # Normal distribution
15 # From 10 means and SD
—> 16 r = torch.normal(means=torch.arange(1, 11), std=torch.arange(1, 0.1, -0.1)) # Size 10

TypeError: normal() received an invalid combination of arguments - got (std=Tensor, means=Tensor, ), but expected one of:

• (Tensor mean, Tensor std, torch.Generator generator, Tensor out)
• (Tensor mean, float std, torch.Generator generator, Tensor out)
• (float mean, Tensor std, torch.Generator generator, Tensor out)

could someone know why?