torch.logical_xor
torch.logical_xor(input, other, *, out=None) -> Tensor
Computes the element-wise logical XOR of the given input tensors.
   Zeros are treated as "False" and nonzeros are treated as "True".
Parameters:
      * input (Tensor) -- the input tensor.
  * **other** (*Tensor*) -- the tensor to compute XOR with

Keyword Arguments:
      out (Tensor, optional) -- the output tensor.
Example:
  >>> torch.logical_xor(torch.tensor([True, False, True]), torch.tensor([True, False, False]))
  tensor([False, False,  True])
  >>> a = torch.tensor([0, 1, 10, 0], dtype=torch.int8)
  >>> b = torch.tensor([4, 0, 1, 0], dtype=torch.int8)
  >>> torch.logical_xor(a, b)
  tensor([ True,  True, False, False])
  >>> torch.logical_xor(a.double(), b.double())
  tensor([ True,  True, False, False])
  >>> torch.logical_xor(a.double(), b)
  tensor([ True,  True, False, False])
