Python | PyTorch asin () method

The torch.asin () function provides support for the inverse sine function in PyTorch. The input is assumed to be in the range [-1, 1] and outputs the output in radians. Returns nan, if the input is not in the range [-1, 1]. Input type — tensor, and if the input contains more than one element, the elementwise inverse sine is calculated.

Syntax : torch.asin (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  ,   0.2  ,   0.0  ,   -   2  ]) 
  print   (a) 

  
  # Usage reverse sin functions and  
  # save the result to & # 39; b & # 39;  
  b   =   torch.asin (a) 
  print   (b)

Exit:

 tensor ([1.0000, -0.5000, 3.4000, 0.2000, 0.0000, -2.0000]) tensor ([1.5708, -0.5236, nan, 0.2014, 0.0000, nan])

Code # 2: Visualization

< / p>

Exit:

 tensor ([- 1.5708, -1.0297, -0.7956, -0.6082, -0.4429 , -0.2898, -0.1433, 0.0000, 0.1433, 0.2898, 0.4429, 0.6082, 0.7956, 1.0297, 1.5708])

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# PyTorch library import

import torch


  
  # Import NumPy library  
  import   numpy as np 
  
  # Import matplotlib.pylot function  
  import   matplotlib.pyplot as plt 
  
  # Vector size 15 with values from -1 to 1  
  a   =   np.linspace (  -   1  ,   1  ,   15  ) 

   
  # Applying the inverse sine function and  
  # saving the result to & # 39; b & # 39; 
  b   =   torch.asin (torch .FloatTensor (a)) 
  
  print   (b) 
  
  # Building  
  plt.plot (a, b.numpy (), color   =   `red`  , marker   =  " o " ) 
  plt.title ( " torch.asin " ) 
  plt.xlabel (  "X"  ) 
  plt.ylabel (  "Y"  ) 
  
  plt.show ()