Python – Tensorflow math.add() method
Tensorflow math.add()
method returns the a + b of the passes inputs. The operation is done on the representation of a and b. This method belongs to math module.
Syntax:
tf.math.add(a, b, name=None)
Arguments
- a: This parameter should be a Tensor and also from the one of the following types: bfloat16, half, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128, string
- b: This should also be a Tensor and must have the same type as a.
- name: This is optional parameter and this is the name of the operation.
Return: It returns a Tensor having the same shape as of input a.
Let’s see this concept with the help of few examples:
Example 1:
Output:
Output:
Example 1:
Python3
# Importing the Tensorflow library import tensorflow as tf # A constant a and b a = tf.constant( 3 ) b = tf.constant( 6 ) # Applying the math.add() function # storing the result in 'c' c = tf.math.add(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_79:0", shape=(), dtype=int32) 3 Input 2 Tensor("Const_80:0", shape=(), dtype=int32) 6 Output: Tensor("Add_1:0", shape=(), dtype=int32) 9
Example 2:
Python3
# Importing the Tensorflow library import tensorflow as tf # A constant a and b a = tf.constant(u "This is " ) b = tf.constant(u "w3wiki" ) # Applying the math.add() function # storing the result in 'c' c = tf.math.add(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_87:0", shape=(), dtype=string) b'This is ' Input 2 Tensor("Const_88:0", shape=(), dtype=string) b'w3wiki' Output: Tensor("Add_5:0", shape=(), dtype=string) b'This is w3wiki'
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