TensorFlow 1 version
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    View source on GitHub
  
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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.
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y
 | 
A Tensor of type bool.
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Returns | |
|---|---|
A Tensor of type bool with the same size as that of x or y.
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  TensorFlow 1 version
    View source on GitHub