Tensorflow bitwise.bitwise_xor() method – Python

20 July 2024

1

Tensorflow bitwise.bitwise_xor() method performs the bitwise_xor operation and the result will set those bits, that are different in a and b. The operation is done on the representation of a and b. This method belongs to bitwise module.

Syntax: tf.bitwise.bitwise_xor(a, b, name=None)

Arguments

a: This must be a Tensor.It should be from the one of the following types: int8, int16, int32, int64, uint8, uint16, uint32, uint64.

b: This should also be a Tensor, Type same as a.

name: This is optional parameter and this is the name of the operation.

Return: It returns a Tensor having the same type as a and b.

Let’s see this concept with the help of few examples:
Example 1:

# Importing the Tensorflow library  
import tensorflow as tf  
  
# A constant a and b  
a = tf.constant(43, dtype = tf.int32)  
b = tf.constant(5, dtype = tf.int32)  
  
# Applying the bitwise_xor function  
# storing the result in 'c'  
c = tf.bitwise.bitwise_xor(a, b)  
  
# Initiating a Tensorflow session  
with tf.Session() as sess: 
    print("Input 1", a) 
    print(sess.run(a)) 
  
    print("Input 2", b) 
    print(sess.run(b)) 
  
    print("Output: ", c) 
    print(sess.run(c)) 

Output:

Input 1 Tensor("Const_36:0", shape=(), dtype=int32)
43
Input 2 Tensor("Const_37:0", shape=(), dtype=int32)
5
Output:  Tensor("BitwiseXor_4:0", shape=(), dtype=int32)
46

Example 2:

# Importing the Tensorflow library  
import tensorflow as tf  
  
# A constant vector of size 2  
a = tf.constant([10, 6], dtype = tf.int32)  
b = tf.constant([12, 5], dtype = tf.int32)  
  
# Applying the bitwise_xor function  
# storing the result in 'c'  
c = tf.bitwise.bitwise_xor(a, b)  
  
# Initiating a Tensorflow session  
with tf.Session() as sess: 
    print("Input 1", a) 
    print(sess.run(a)) 
    print("Input 2", b) 
    print(sess.run(b)) 
    print("Output: ", c) 
    print(sess.run(c)) 

Output:

Input 1 Tensor("Const_34:0", shape=(2, ), dtype=int32)
[10  6]
Input 2 Tensor("Const_35:0", shape=(2, ), dtype=int32)
[12  5]
Output:  Tensor("BitwiseXor_3:0", shape=(2, ), dtype=int32)
[6 3]

Last Updated :
26 May, 2020