tf.math.logical

TensorFlow 1 version

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Logical XOR function.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.logical_xor, tf.compat.v1.math.logical_xor

tf.math.logical_xor(
    x, y, name='LogicalXor'
)

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

The operation works for the following input types:

Two single elements of type bool
One tf.Tensor of type bool and one single bool, where the result will be calculated by applying logical XOR with the single element to each element in the larger Tensor.
Two tf.Tensor objects of type bool of the same shape. In this case, the result will be the element-wise logical XOR of the two input tensors.

Usage:

a = tf.constant([True])
b = tf.constant([False])
tf.math.logical_xor(a, b)
<tf.Tensor: shape=(1,), dtype=bool, numpy=array([ True])>

c = tf.constant([True])
x = tf.constant([False, True, True, False])
tf.math.logical_xor(c, x)
<tf.Tensor: shape=(4,), dtype=bool, numpy=array([ True, False, False,  True])>

y = tf.constant([False, False, True, True])
z = tf.constant([False, True, False, True])
tf.math.logical_xor(y, z)
<tf.Tensor: shape=(4,), dtype=bool, numpy=array([False,  True,  True, False])>

Args
`x`	A `tf.Tensor` type bool.
`y`	A `tf.Tensor` of type bool.
`name`	A name for the operation (optional).

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

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tf.math / logical_not

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Usage:

Args

Returns