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# 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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