torch.dist
torch.dist(input, other, p=2) -> Tensor
Returns the p-norm of ("input" - "other")
The shapes of "input" and "other" must be broadcastable.
Parameters:
      * input (Tensor) -- the input tensor.
  * **other** (*Tensor*) -- the Right-hand-side input tensor

  * **p** (*float**, **optional*) -- the norm to be computed

Example:
  >>> x = torch.randn(4)
  >>> x
  tensor([-1.5393, -0.8675,  0.5916,  1.6321])
  >>> y = torch.randn(4)
  >>> y
  tensor([ 0.0967, -1.0511,  0.6295,  0.8360])
  >>> torch.dist(x, y, 3.5)
  tensor(1.6727)
  >>> torch.dist(x, y, 3)
  tensor(1.6973)
  >>> torch.dist(x, y, 0)
  tensor(4.)
  >>> torch.dist(x, y, 1)
  tensor(2.6537)
