Python – tensorflow.math.not_equal()

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。

not_equal()用于查找 x!=y 的元素真值。支持广播

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

Parameters:

x: It is a tensor. Allowed dtypes are float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
y: It is a tensor of same dtype as x.
name(optional): It defines the name of the operation

Returns: It returns a tensor of type bool.

编程需要懂一点英语

示例 1：

Python3

# importing the library
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 8, 13, 5],  dtype = tf.float64)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Finding truth value
res = tf.math.not_equal(x = a, y = b)
  
# Printing the result
print('Result: ', res)

Python3

# Importing the libraray
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([7, 9, 13, 11], dtype = tf.float64)
b = (9)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Finding truth value
res = tf.math.not_equal(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
b:  tf.Tensor([ 2.  8. 13.  5.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([ True False False  True], shape=(4, ), dtype=bool)

示例 2：在此示例中，将对输入执行广播。

Python3

# Importing the libraray
import tensorflow as tf
  
# Initializing the input tensor
a = tf.constant([7, 9, 13, 11], dtype = tf.float64)
b = (9)
  
# Printing the input tensor
print('a: ', a)
print('b: ', b)
  
# Finding truth value
res = tf.math.not_equal(x = a, y = b)
  
# Printing the result
print('Result: ', res)

输出：

a:  tf.Tensor([ 7.  9. 13. 11.], shape=(4, ), dtype=float64)
b:  9
Result:  tf.Tensor([ True False  True  True], shape=(4, ), dtype=bool)