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# 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 () `