Python| TensorFlow 倒数（）方法
Tensorflow 是谷歌开发的开源机器学习库。它的应用之一是开发深度神经网络。
模块tensorflow.math为许多基本的数学运算提供支持。函数tf.reciprocal() [别名tf.math.reciprocal ] 支持计算 Tensorflow 中输入的倒数。它期望复数形式的输入为_method_0.png "由 QuickLaTeX.com 渲染")
，浮点数和整数。输入类型是张量，如果输入包含多个元素，则计算元素倒数， _method_1.png "由 QuickLaTeX.com 渲染")
.
Syntax: tf.reciprocal(x, name=None) or tf.math.reciprocal(x, name=None)
Parameters:
x: A Tensor of type bfloat16, half, float32, float64, int32, int64, complex64 or complex128.
name (optional): The name for the operation.
Return type: A Tensor with the same size and type as that of x.
代码#1：
Python3
# Importing the Tensorflow library
import tensorflow as tf
# A constant vector of size 6
a = tf.constant([-0.5, -0.1, 0, 0.1, 0.5, 2], dtype = tf.float32)
# Applying the reciprocal function and
# storing the result in 'b'
b = tf.reciprocal(a, name ='reciprocal')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input type:', a)
print('Input:', sess.run(a))
print('Return type:', b)
print('Output:', sess.run(b))Python3
# Importing the Tensorflow library
import tensorflow as tf
# Importing the NumPy library
import numpy as np
# Importing the matplotlib.pyplot function
import matplotlib.pyplot as plt
# Two vector each of size 20 with values from 0 to 10
a = np.linspace(0, 10, 20)
# Applying the reciprocal function and
# storing the result in 'b'
b = tf.reciprocal(a, name ='reciprocal')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input:', a)
print('Output:', sess.run(b))
plt.plot(a, sess.run(b), color = 'red', marker ='o')
plt.title("tensorflow.reciprocal")
plt.xlabel("X")
plt.ylabel("Y")
plt.grid()
plt.show()输出：
Input type: Tensor("Const:0", shape=(6, ), dtype=float32)
Input: [-0.5 -0.1 0. 0.1 0.5 2. ]
Return type: Tensor("reciprocal:0", shape=(6, ), dtype=float32)
Output: [ -2. -10. inf 10. 2. 0.5]
_method_2.png "由 QuickLaTeX.com 渲染")
表示随着输入接近零，倒数接近无穷大。
代码 #2：可视化
Python3
# Importing the Tensorflow library
import tensorflow as tf
# Importing the NumPy library
import numpy as np
# Importing the matplotlib.pyplot function
import matplotlib.pyplot as plt
# Two vector each of size 20 with values from 0 to 10
a = np.linspace(0, 10, 20)
# Applying the reciprocal function and
# storing the result in 'b'
b = tf.reciprocal(a, name ='reciprocal')
# Initiating a Tensorflow session
with tf.Session() as sess:
print('Input:', a)
print('Output:', sess.run(b))
plt.plot(a, sess.run(b), color = 'red', marker ='o')
plt.title("tensorflow.reciprocal")
plt.xlabel("X")
plt.ylabel("Y")
plt.grid()
plt.show()
输出：
Input: [ 0. 0.52631579 1.05263158 1.57894737 2.10526316 2.63157895
3.15789474 3.68421053 4.21052632 4.73684211 5.26315789 5.78947368
6.31578947 6.84210526 7.36842105 7.89473684 8.42105263 8.94736842
9.47368421 10. ]
Output: [ inf 1.9 0.95 0.63333333 0.475 0.38
0.31666667 0.27142857 0.2375 0.21111111 0.19 0.17272727
0.15833333 0.14615385 0.13571429 0.12666667 0.11875 0.11176471
0.10555556 0.1 ]
_method_3.png)