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 Tensor type bool.
|
y
|
A Tensor of type bool.
|
Returns | |
---|---|
A Tensor of type bool with the same size as that of x or y.
|