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description: Logical AND function.
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View source on GitHub
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Logical AND function.
tf.math.logical_and(
x, y, name=None
)
The operation works for the following input types:
booltf.Tensor of type bool and one single bool, where the result will
be calculated by applying logical AND with the single element to each
element in the larger Tensor.tf.Tensor objects of type bool of the same shape. In this case,
the result will be the element-wise logical AND of the two input tensors.>>> a = tf.constant([True])
>>> b = tf.constant([False])
>>> tf.math.logical_and(a, b)
<tf.Tensor: shape=(1,), dtype=bool, numpy=array([False])>
>>> c = tf.constant([True])
>>> x = tf.constant([False, True, True, False])
>>> tf.math.logical_and(c, x)
<tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, True, True, False])>
>>> y = tf.constant([False, False, True, True])
>>> z = tf.constant([False, True, False, True])
>>> tf.math.logical_and(y, z)
<tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, False, False, True])>
Args | |
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x
|
A tf.Tensor type bool.
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y
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A tf.Tensor of type bool.
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name
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A name for the operation (optional). |
Returns | |
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A tf.Tensor of type bool with the same size as that of x or y.
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