# Python | PyTorch asin() method

PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes.

The function `torch.asin()` provides support for the inverse sine function in PyTorch. It expects the input to be in the range [-1, 1] and gives the output in radian form. It returns nan if the input does not lie in the range [-1, 1]. The input type is tensor and if the input contains more than one element, element-wise inverse sine is computed.

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:

 `# Importing the PyTorch library ` `import` `torch ` ` `  `# A constant tensor of size 6 ` `a ``=` `torch.FloatTensor([``1.0``, ``-``0.5``, ``3.4``, ``0.2``, ``0.0``, ``-``2``]) ` `print``(a) ` ` `  `# Applying the inverse sin function and ` `# storing the result in 'b' ` `b ``=` `torch.asin(a) ` `print``(b) `

Output:

```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

 `# Importing the PyTorch library ` `import` `torch ` ` `  `# Importing the NumPy library ` `import` `numpy as np ` ` `  `# Importing the matplotlib.pylot function ` `import` `matplotlib.pyplot as plt ` ` `  `# A vector of size 15 with values from -1 to 1 ` `a ``=` `np.linspace(``-``1``, ``1``, ``15``) ` ` `  `# Applying the inverse sine function and ` `# storing the result in 'b' ` `b ``=` `torch.asin(torch.FloatTensor(a)) ` ` `  `print``(b) ` ` `  `# Plotting ` `plt.plot(a, b.numpy(), color ``=` `'red'``, marker ``=` `"o"``)  ` `plt.title(``"torch.asin"``)  ` `plt.xlabel(``"X"``)  ` `plt.ylabel(``"Y"``)  ` ` `  `plt.show() `

Output:

```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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