Python | Tensorflow asinh() method

# Importing the Tensorflow library
import tensorflow as tf
  
# A constant vector of size 6
a = tf.constant([1.0, -0.5, 3.4, 22.1, 0.0, -6.5],
                               dtype = tf.float32)
  
# Applying the asinh function and
# storing the result in 'b'
b = tf.asinh(a, name ='asinh')
  
# 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))

# 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
 
# A vector of size 15 with values from -10 to 10
a = np.linspace(-10, 10, 15)
 
# Applying the inverse hyperbolic sine
# function and storing the result in 'b'
b = tf.asinh(a, name ='asinh')
 
# 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.asinh") 
    plt.xlabel("X") 
    plt.ylabel("Y") 
 
    plt.show()