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Python - Tensorflow bitwise.bitwise_or() method - GeeksforGeeks

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Python – Tensorflow bitwise.bitwise_or() method

  • Last Updated : 04 Jun, 2020

Tensorflow bitwise.bitwise_or() method performs the bitwise_or operation and return those bits set, that are either set(1) in a or in b or in both. The operation is done on the representation of a and b.
This method belongs to bitwise module.

Syntax: tf.bitwise.bitwise_or( 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_or function 
# storing the result in 'c' 
c = tf.bitwise.bitwise_or(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_22:0", shape=(), dtype=int32)
43
Input 2 Tensor("Const_23:0", shape=(), dtype=int32)
5
Output:  Tensor("BitwiseOr_1:0", shape=(), dtype=int32)
47

Example 2:

# Importing the Tensorflow library 
import tensorflow as tf 
# A constant vector of size 2 
a = tf.constant([1, 6], dtype = tf.int32) 
b = tf.constant([2, 5], dtype = tf.int32) 
# Applying the bitwise_or function 
# storing the result in 'c' 
c = tf.bitwise.bitwise_or(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_20:0", shape=(2, ), dtype=int32)
[1 6]
Input 2 Tensor("Const_21:0", shape=(2, ), dtype=int32)
[2 5]
Output:  Tensor("BitwiseOr:0", shape=(2, ), dtype=int32)
[3 7]

report

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