mindspore.mint.logical_xor

mindspore.mint.logical_xor(input, other)

Compute the "logical XOR" of two tensors element-wise.

$$ou{t}_i=inpu{t}_i\oplus othe{r}_i$$

Note

• Broadcasting is supported.

• Support implicit type conversion.

Parameters

• input (Tensor) – The first input tensor.

• other (Tensor) – The second input tensor.

Returns

Tensor

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> x = mindspore.tensor([True, False, True], mindspore.bool_)
>>> y = mindspore.tensor([True, True, False], mindspore.bool_)
>>> output = mindspore.mint.logical_xor(x, y)
>>> print(output)
[False  True  True]
>>> x = mindspore.tensor(1, mindspore.bool_)
>>> y = mindspore.tensor(0, mindspore.bool_)
>>> output = mindspore.mint.logical_xor(x, y)
>>> print(output)
True
>>> x = True
>>> y = mindspore.tensor(0, mindspore.bool_)
>>> output = mindspore.mint.logical_xor(x, y)
>>> print(output)
True
>>> x = True
>>> y = mindspore.tensor([True, False], mindspore.bool_)
>>> output = mindspore.mint.logical_xor(x, y)
>>> print(output)
[False  True]