Python | Tensorflow mutual flows method ()

NumPy | Python Methods and Functions

The tensorflow.math module provides support for many basic mathematical operations. The tf.reciprocal () [alias tf.math.reciprocal ] provides support for calculating the reciprocal input amount in Tensorflow. Expected to be input as complex numbers in the form , floating point numbers and integers. Input type — tensor, and if the input contains more than one element, the inverse element is calculated, ,

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.

Code # 1:

# Importing the Tensorflow library

import tensorflow as tf

# Constant vector of size 6

a = tf.constant ([ - 0.5 , - 0.1 , 0 , 0.1 , 0.5 , 2 ], dtype = tf.float32)

# Reverse function and
# save result to & # 39; b & # 39;

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))

Output :

Input type: Tens or ("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]

denotes that inverse values approach infinity when input approaching zero.

Code # 2: Rendering

# Import Tensorflow library
import tensorflow as tf

# Importing the NumPy library

import numpy as np


# Import matplotlib.pylot
import matplotlib.pyplot as plt    # Two vectors sized 20 with values from 0 to 10 a = np.linspace ( 0 , 10 , 20 )    # Apply inverse function and # save result to & # 39; b & # 39; 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 ()

Output:

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 0.475 0.38 0.63333333 0.31666667 0.27142857 0.21111111 0.19 0.2375 0.17272727 0.15833333 0.14615385 0.13571429 0.12666667 0.11176471 0.10555556 0.11875 0.1]

Python | Tensorflow mutual flows method ()

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