Python | PyTorch sinh () method

The torch.sinh () function provides support for the hyperbolic sine function in PyTorch. Input in radians is expected. Input type — tensor, and if the input contains more than one element, the element-wise hyperbolic sine is calculated.

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:

       # PyTorch library import  
   import   torch  
   
  # Constant tensor of size 6  
   a   =   torch.FloatTensor ([  1.0  ,   -   0.5  ,   3.4  ,   -   2.1  ,   0.0  ,   -   6.5  ])   
  print   (a) 
   
  # Using the sinh function and  
  # saving the result to & # 39; b & # 39;  
   b   =   torch.sinh (a)  
   print   (b)

Exit:

 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: Rendering

# Import PyTorch library

import torch

# Importing the NumPy library

import numpy as np

# Import matplotlib.pylot

import matplotlib.pyplot as plt

# Vector size 15 with values from -5 to 5

a = np.linspace ( - 5 , 5 , 15 )

# Applying the hyperbolic sine and
# save the result to & # 39; b & # 39;

b = torch.sinh (torch.FloatTensor (a))

print (b)

# Build

plt. plot (a, b.numpy (), color = 'red' , marker = "o" )

plt.title ( "torch.sinh" )

plt.xlabel ( "X" )

plt.ylabel ( "Y" )

plt.show ()

Exit:

 -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]

Python | PyTorch sinh () method

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