Python – tensorflow.raw_ops.Atanh()

0 0 1 minute read

TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Atanh() is used to find element wise inverse hyperbolic tangent of x.

Syntax: tf.raw_ops.Atanh(x, name)

Parameters:

x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64.

name(optional): It defines the name for the operation.

Returns: It returns a tensor of same dtype as x.

Note: It only takes keyword arguments.

Example 1:

Python3

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([.1, .2, .3, .4, .5], dtype = tf.float64)
 
# Printing the input tensor
print('Input: ', a)
 
# Calculating inverse hyperbolic tangent
res = tf.raw_ops.Atanh(x = a)
 
# Printing the result
print('Result: ', res)

Output:

Input:  tf.Tensor([0.1 0.2 0.3 0.4 0.5], shape=(5, ), dtype=float64)
Result:  tf.Tensor([0.10033535 0.20273255 0.3095196  0.42364893 0.54930614], shape=(5, ), dtype=float64)

Example 2: Visualization

Python3

# importing the library
import tensorflow as tf
import matplotlib.pyplot as plt
 
# Initializing the input tensor
a = tf.constant([.1, .2, .3, .4, .5], dtype = tf.float64)
 
# Calculating inverse hyperbolic tangent
res = tf.raw_ops.Atanh(x = a)
 
# Plotting the graph
plt.plot(a, res, color ='green')
plt.title('tensorflow.raw_ops.Atanh')
plt.xlabel('Input')
plt.ylabel('Result')
plt.show()