|  TensorFlow 1 version |  View source on GitHub | 
Logical XOR function.
tf.math.logical_xor(
    x, y, name='LogicalXor'
)
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]
| Args | |
|---|---|
| x | A Tensortype bool. | 
| y | A Tensorof type bool. | 
| Returns | |
|---|---|
| A Tensorof type bool with the same size as that of x or y. |