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] 





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