Python | Tensorflow logical_or() method

Tensorflow is an open-source machine learning library developed by Google. One of its applications is to develop deep neural networks.

The module tensorflow.math provides support for many basic mathematical operations. Function tf.logical_or() [alias tf.math.logical_or] provides support for the logical OR function in Tensorflow. It expects the input of bool type. The input types are tensor and if the tensors contains more than one element, an element-wise logical OR is computed,  $x OR y$ .

Syntax: tf.logical_or(x, y, name=None) or tf.math.logical_or(x, y, name=None)

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

Return type: A Tensor of bool type with the same size as that of x or y.






# Importing the Tensorflow library
import tensorflow as tf
# A constant vector of size 4
a = tf.constant([True, False, True, False], dtype = tf.bool)
b = tf.constant([True, False, False, True], dtype = tf.bool)
# Applying the OR function and
# storing the result in 'c'
c = tf.logical_or(a, b, name ='logical_or')
# Initiating a Tensorflow session
with tf.Session() as sess:
    print('Input type:', a)
    print('Input a:',
    print('Input b:',
    print('Return type:', c)



Input type: Tensor("Const:0", shape=(4, ), dtype=bool)
Input a: [ True False  True False]
Input b: [ True False False  True]
Return type: Tensor("logical_and:0", shape=(4, ), dtype=bool)
Output: [ True False True True]


Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at to report any issue with the above content.