# Python – Tensorflow bitwise.invert() method

• Last Updated : 04 Jun, 2020

Tensorflow bitwise.invert() method performs the invert operation and the result will invert the bits, Like 0 to 1 and 1 to 0. The operation is done on the representation of a.
This method belongs to bitwise module.

Syntax: tf.bitwise.invert( a, 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.
• name: This is optional parameter and this is the name of the operation.

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

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

 import tensorflow as tf   # A constant a a = tf.constant(6, dtype = tf.int32)    # Applying the invert function # storing the result in 'c' c = tf.bitwise.invert(a)   # Initiating a Tensorflow session with tf.Session() as sess:    print("Input 1", a)    print(sess.run(a))    print("Output: ", c)    print(sess.run(c))

Output:

Input 1 Tensor("Const_40:0", shape=(), dtype=int32)
6
Output:  Tensor("Invert_4:0", shape=(), dtype=int32)
-7

Example 2:

 import tensorflow as tf   # A constant a a = tf.constant([1, 4, 7], dtype = tf.int32)    # Applying the invert function # storing the result in 'c' c = tf.bitwise.invert(a)   # Initiating a Tensorflow session with tf.Session() as sess:    print("Input 1", a)    print(sess.run(a))    print("Output: ", c)    print(sess.run(c))

Output:

Input 1 Tensor("Const_39:0", shape=(3, ), dtype=int32)
[1 4 7]
Output:  Tensor("Invert_3:0", shape=(3, ), dtype=int32)
[-2 -5 -8]

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