tf.math.log

TensorFlow 1 version

View source on GitHub

Logical AND function.

View aliases

Main aliases

tf.logical_and

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.logical_and, tf.compat.v1.math.logical_and

tf.math.logical_and(
    x, y, name=None
)

Used in the notebooks

Used in the tutorials
Transformer model for language understanding Tutorial on Multi Armed Bandits in TF-Agents

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 AND 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 AND of the two input tensors.

Usage:

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
`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 / log

View aliases

Used in the notebooks

Usage:

Args

Returns