Python – TensorFlow math.add() 方法

Tensorflow math.add()方法返回 pass 输入的 a + b。该操作是在 a 和 b 的表示上完成的。该方法属于数学模块。

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.

让我们通过几个例子来看看这个概念：
示例 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))

输出：

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

示例 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"GeeksForGeeks")  
  
# 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))

输出：

Input 1 Tensor("Const_87:0", shape=(), dtype=string)
b'This is '
Input 2 Tensor("Const_88:0", shape=(), dtype=string)
b'GeeksForGeeks'
Output:  Tensor("Add_5:0", shape=(), dtype=string)
b'This is GeeksForGeeks'

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