/TensorFlow 2.4

# tf.math.logical_xor

Logical XOR function.

x ^ y = (x | y) & ~(x & y)

The operation works for the following input types:

• Two single elements of type `bool`
• One `tf.Tensor` of type `bool` and one single `bool`, where the result will be calculated by applying logical XOR with the single element to each element in the larger Tensor.
• Two `tf.Tensor` objects of type `bool` of the same shape. In this case, the result will be the element-wise logical XOR of the two input tensors.

#### Usage:

```a = tf.constant([True])
b = tf.constant([False])
tf.math.logical_xor(a, b)
<tf.Tensor: shape=(1,), dtype=bool, numpy=array([ True])>
```
```c = tf.constant([True])
x = tf.constant([False, True, True, False])
tf.math.logical_xor(c, x)
<tf.Tensor: shape=(4,), dtype=bool, numpy=array([ True, False, False,  True])>
```
```y = tf.constant([False, False, True, True])
z = tf.constant([False, True, False, True])
tf.math.logical_xor(y, z)
<tf.Tensor: shape=(4,), dtype=bool, numpy=array([False,  True,  True, False])>
```
Args
`x` A `tf.Tensor` type bool.
`y` A `tf.Tensor` of type bool.
`name` A name for the operation (optional).
Returns
A `tf.Tensor` of type bool with the same size as that of x or y.