torch.logical_xor¶
- torch.logical_xor(input: Tensor, other: Tensor, *, out: Optional[Tensor]) Tensor ¶
Computes the element-wise logical XOR of the given input tensors. Zeros are treated as
False
and nonzeros are treated asTrue
.- Parameters
- 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]) >>> torch.logical_xor(a, b, out=torch.empty(4, dtype=torch.bool)) tensor([ True, True, False, False])