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# tf.math.logical_xor

Logical XOR function.

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

Inputs are tensor and if the tensors contains more than one element, an element-wise logical XOR is computed.

#### Usage:

``````x = tf.constant([False, False, True, True], dtype = tf.bool)
y = tf.constant([False, True, False, True], dtype = tf.bool)
z = tf.logical_xor(x, y, name="LogicalXor")
#  here z = [False  True  True False]
``````

`x` A `Tensor` type bool.
`y` A `Tensor` of type bool.

A `Tensor` of type bool with the same size as that of x or y.

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