# 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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