Python – tensorflow.math.divide_no_nan()

TensorFlow 是由 Google 设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

divide_no_nan()用于计算 x 除以 y 的元素安全除法，即如果 y 为零则返回 0

Syntax: tensorflow.math.divide_no_nan( x, y, name)

Parameters:

• x: It is a tensor.
• y: It is a tensor.
• name(optional): It defines the name of the operation

Returns: It returns a tensor.

示例 1：

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([6, 8, 12, 15], dtype = tf.float64)
b = tf.constant([2, 3, 4, 5],  dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Calculating safe division
res = tf.math.divide_no_nan(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([ 6.  8. 12. 15.], shape=(4, ), dtype=float64)
b:  tf.Tensor([2. 3. 4. 5.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([3.         2.66666667 3.         3.        ], shape=(4, ), dtype=float64)

示例 2：在此示例中，第二张量中的值之一取 0。

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([6, 8, 12, 15], dtype = tf.float64)
b = tf.constant([2, 3, 4, 0],  dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Calculating safe division
res = tf.math.divide_no_nan(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([ 6.  8. 12. 15.], shape=(4, ), dtype=float64)
b:  tf.Tensor([2. 3. 4. 0.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([3.         2.66666667 3.                0], shape=(4, ), dtype=float64)