logical_xor¶

dragon.vm.torch.logical_xor(
  input,
  other,
  out=None
)[source]¶

Compute the element-wise XOR logical operation.

\[\text{out} = \text{input} \oplus \text{other} \]

Examples:

a = torch.tensor([False, True, False, True])
b = torch.tensor([False, True, True, False])
c = torch.Tensor([0, 1, 0, 2])
d = torch.Tensor([0, 3, 4, 0])
print(torch.logical_xor(a, b))  # [False, False, True, True]
print(torch.logical_xor(c, d))  # [False, False, True, True]

Parameters:

• input (dragon.vm.torch.Tensor) – The first input tensor.
• other (dragon.vm.torch.Tensor) – The second input tensor.
• out (dragon.vm.torch.Tensor, optional) – The output tensor.

Returns:

dragon.vm.torch.Tensor – The output tensor.