# tensorplay.functional.logical_xor

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.logical_xor.html

```python
tensorplay.functional.logical_xor(input: Tensor, other: Tensor, *, out: Tensor | 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](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the input tensor.

- other ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the tensor to compute XOR with

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.

Example:

```
>>> tensorplay.logical_xor(tensorplay.tensor([True, False, True]), tensorplay.tensor([True, False, False]))
tensor([False, False,  True])
>>> a = tensorplay.tensor([0, 1, 10, 0], dtype=tensorplay.int8)
>>> b = tensorplay.tensor([4, 0, 1, 0], dtype=tensorplay.int8)
>>> tensorplay.logical_xor(a, b)
tensor([ True,  True, False, False])
>>> tensorplay.logical_xor(a.double(), b.double())
tensor([ True,  True, False, False])
>>> tensorplay.logical_xor(a.double(), b)
tensor([ True,  True, False, False])
>>> tensorplay.logical_xor(a, b, out=tensorplay.empty(4, dtype=tensorplay.bool))
tensor([ True,  True, False, False])
```