tf.math.logical_and

Returns the truth value of x AND y element-wise.

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
)

Logical AND function.

Requires that x and y have the same shape or have broadcast-compatible shapes. For example, x and y can be:

• 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.

You can also use the & operator instead.

Usage

>>> a = tf.constant([True]) >>> b = tf.constant([False]) >>> tf.math.logical_and(a, b) <tf.Tensor: shape=(1,), dtype=bool, numpy=array([False])> >>> 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])> 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])> y & z <tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, False, False, True])> This op also supports broadcasting tf.logical_and([[True, False]], [[True], [False]]) <tf.Tensor: shape=(2, 2), dtype=bool, numpy= array([[ True, False], [False, False]])>

The reduction version of this elementwise operation is tf.math.reduce_all.

Args
x	A tf.Tensor of 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 shape that x and y broadcast to.

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

Returns
A Tensor of type bool.