Python | PyTorch cosh () method

# 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 Kosh function and
# saving the result to & # 39; b & # 39;

b = torch.cosh (a )

print (b)

# 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 -1 to 1

a = np.linspace ( - 1 , 1 , 15 )

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

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

print (b)

 
# Build

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

plt.title ( "torch.cosh" ) 

plt.xlabel ( "X" ) 

plt.ylabel ( "Y" ) 

 
plt.show ()