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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.
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 | |
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x | A Tensor type bool. |
y | A Tensor of type bool. |
Returns | |
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A Tensor of type bool with the same size as that of x or y. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/math/logical_xor