Skip to content
Related Articles

Related Articles

Python | PyTorch sinh() method

View Discussion
Improve Article
Save Article
  • Last Updated : 10 Jan, 2022
View Discussion
Improve Article
Save Article

PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes.

The function torch.sinh() provides support for the hyperbolic sine function in PyTorch. It expects the input in radian form. The input type is tensor and if the input contains more than one element, element-wise hyperbolic sine is computed.

Syntax: torch.sinh(x, out=None)

Parameters:
x: Input tensor
name (optional): Output tensor

Return type: A tensor with the same type as that of x.

Code #1:

Python3




# Importing the PyTorch library
import torch
  
# A constant tensor of size 6
a = torch.FloatTensor([1.0, -0.5, 3.4, -2.1, 0.0, -6.5])
print(a)
  
# Applying the sinh function and
# storing the result in 'b'
b = torch.sinh(a)
print(b)

Output:

 1.0000
-0.5000
 3.4000
-2.1000
 0.0000
-6.5000
[torch.FloatTensor of size 6]


   1.1752
  -0.5211
  14.9654
  -4.0219
   0.0000
-332.5700
[torch.FloatTensor of size 6]

 

Code #2: Visualization

Python3




# Importing the PyTorch library
import torch
  
# 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 -5 to 5
a = np.linspace(-5, 5, 15)
  
# Applying the hyperbolic sine function and
# storing the result in 'b'
b = torch.sinh(torch.FloatTensor(a))
  
print(b)
  
# Plotting
plt.plot(a, b.numpy(), color = 'red', marker = "o"
plt.title("torch.sinh"
plt.xlabel("X"
plt.ylabel("Y"
  
plt.show()

Output:

-74.2032
-36.3203
-17.7696
 -8.6771
 -4.2032
 -1.9665
 -0.7766
  0.0000
  0.7766
  1.9665
  4.2032
  8.6771
 17.7696
 36.3203
 74.2032
[torch.FloatTensor of size 15]


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!