I am confused: can you help me understand why does torch.norm(x) depend on the size of x? Thanks!
N=10000
x=torch.ones(N)
n1=torch.norm(x)
n2=numpy.sqrt(N)

[output]: n1=tensor(100.), n2=100.

N=40000
x=torch.ones(N)
n1=torch.norm(x)
n2=numpy.sqrt(N)

[output]: n1=tensor(266.0605) n2=200.