Open In App

Python – Tensorflow bitwise.left_shift() method

Last Updated : 04 Jun, 2020
Comments
Improve
Suggest changes
Like Article
Like
Report

Tensorflow bitwise.left_shift() method performs the left_shift operation on input a defined by input b and return the new constant. The operation is done on the representation of a and b.
This method belongs to bitwise module.

Syntax: tf.bitwise.left_shift( 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:




import tensorflow as tf 
  
# A constant a and b
a = tf.constant(8, dtype = tf.int32)
b = tf.constant(2, dtype = tf.int32)  
  
# Applying the left_shift() function 
# storing the result in 'c' 
c = tf.bitwise.left_shift(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_49:0", shape=(), dtype=int32)
8
Input 2 Tensor("Const_50:0", shape=(), dtype=int32)
2
Output:  Tensor("LeftShift_1:0", shape=(), dtype=int32)
32



Example 2:











                                    




                                    

                                    




                                    




                                    

                                    

                                    
                                




















import tensorflow as tf  


  


# A constant a and b 


a = tf.constant([8, 16, 32], dtype = tf.int32) 


b = tf.constant([2, 2, 3], dtype = tf.int32)   


  


# Applying the left_shift() function  


# storing the result in 'c'  


c = tf.bitwise.left_shift(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_51:0", shape=(3, ), dtype=int32)
[ 8 16 32]
Input 2 Tensor("Const_52:0", shape=(3, ), dtype=int32)
[2 2 3]
Output:  Tensor("LeftShift_2:0", shape=(3, ), dtype=int32)
[ 32  64 256]





                            
                            
                        


                                                                              

                                        

                                                                                

                                                                

                            
                                

                                
                                        Next Article
                                        
                                    
                                    
                                    

                                        Python - Tensorflow bitwise.bitwise_and() method
                                    

                                

                                                        

                        

                            

                                        

                                            

                                                

                                                

                                                    
P

        

            
        

        

                                                

                                                

                                                    PranchalKatiyar                                                

                                                

                                                

            
                                            

                                            
                                        

                                        

                                            
                                            

                                                
                                                
                                            

                                            
                                                                            

                                    Improve
                                    
                                

                            
                                        

                        

                        

                                                            

                                    
Article Tags : 

                                    
                                                                    

                                                                                        

                                    
Practice Tags : 

                                    
                                                                    

                                                    

                        


                                                

                        
                                                 

                                
Similar Reads

                                

                                    
                                

                            

                        


                                                

                                

                                    
                                                                    

                            


                        

                            

                                                                                    

                              

                            

                                                        
                        

                    

                

            

                

        

            

                

                    

                    
                
 
                
                            

                                

                            


                            


            

        
  

        

                




	
	
	

	
	
	
	    

	
	

	
	



                
        

    

    

        

            

            

        

    
















	

    
  

  
  






    
        We use cookies to ensure you have the best browsing experience on our website. By using our site, you
        acknowledge that you have read and understood our
        Cookie Policy &
        Privacy Policy
            
    







   Lightbox