Tensorflow
Python3
Output:
Python3
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:Let's see this concept with the help of few examples: Example 1:tf.bitwise.invert( a, name=None)ArgumentsReturn: It returns a Tensor having the same type as a.
- 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.
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))
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]