tf.math.logical_xor | TensorFlow v2.16.1 (original) (raw)
tf.math.logical_xor
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Logical XOR function.
View aliases
Compat aliases for migration
SeeMigration 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)
Requires that x
and y
have the same shape or havebroadcast-compatibleshapes. For example, x
and y
can be:
- Two single elements of type
bool
- One tf.Tensor of type
bool
and one singlebool
, 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. |