pytorch / 2 / generated / torch.bitwise_xor.html

torch.bitwise_xor

torch.bitwise_xor(input, other, *, out=None) → Tensor

Computes the bitwise XOR of input and other. The input tensor must be of integral or Boolean types. For bool tensors, it computes the logical XOR.

Parameters
  • input – the first input tensor
  • other – the second input tensor
Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> torch.bitwise_xor(torch.tensor([-1, -2, 3], dtype=torch.int8), torch.tensor([1, 0, 3], dtype=torch.int8))
tensor([-2, -2,  0], dtype=torch.int8)
>>> torch.bitwise_xor(torch.tensor([True, True, False]), torch.tensor([False, True, False]))
tensor([ True, False, False])

© 2024, PyTorch Contributors
PyTorch has a BSD-style license, as found in the LICENSE file.
https://pytorch.org/docs/2.1/generated/torch.bitwise_xor.html