Python - метод Tensorflow math.add_n ()

Опубликовано: 29 Марта, 2022

Tensorflow math.add_n() method adds the all passed tensors element-wise. The operation is done on the representation of a and b.
This method belongs to math module.

Syntax: tf.math.add_n(inputs, name=None)
Arguments
inputs: It specifies a list of tf.Tensor or tf.IndexedSlices objects, and the shape and type of each must be same. tf.IndexedSlices objects converted automatically into dense tensors before applying method.
name: This is optional parameter and this is the name of the operation.
Return: It returns a Tensor having the same shape and type as the elements of passed inputs.

Примечание. Этот метод выполняет ту же операцию, что и tf.math.accumulate_n, но этот метод ожидает готовности входных данных перед началом суммирования. Таким образом, эта буферизация приводит к большему потреблению памяти, когда входы могут быть не готовы одновременно.

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([[1, 3], [2, 8]])
b = tf.constant([[2, 1], [6, 7]])  
  
# Applying the math.add_n() function 
# storing the result in "c" 
c = tf.math.add_n([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)

Output:

Input 1 Tensor("Const_99:0", shape=(2, 2), dtype=int32)
[[1 3]
 [2 8]]
Input 2 Tensor("Const_100:0", shape=(2, 2), dtype=int32)
[[2 1]
 [6 7]]
Output:  Tensor("AddN:0", shape=(2, 2), dtype=int32)
[[ 3  4]
 [ 8 15]]

Example 2:

# Importing the Tensorflow library 
import tensorflow as tf 
  
# A constant a and b
a = tf.constant([[1, 1], [2, 6]])
b = tf.constant([[5, 1], [8, 7]])  
  
# Applying the math.add_n() function 
# storing the result in "c" 
c = tf.math.add_n([a, b], name = "Add_N")
  
# 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_101:0", shape=(2, 2), dtype=int32)
[[1 1]
 [2 6]]
Input 2 Tensor("Const_102:0", shape=(2, 2), dtype=int32)
[[5 1]
 [8 7]]
Output:  Tensor("Add_N:0", shape=(2, 2), dtype=int32)
[[ 6  2]
 [10 13]]

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Python - метод Tensorflow math.add_n ()

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