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# Python | PyTorch sin() method

• Last Updated : 13 Dec, 2018

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.sin()` provides support for the sine function in PyTorch. It expects the input in radian form and the output is in the range [-1, 1]. The input type is tensor and if the input contains more than one element, element-wise sine is computed.

Syntax: torch.sin(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``, ``-``2.1``, ``0.0``, ``-``6.5``])``print``(a)`` ` `# Applying the sin function and``# storing the result in 'b'``b ``=` `torch.sin(a)``print``(b)`

Output:

``` 1.0000
-0.5000
3.4000
-2.1000
0.0000
-6.5000
[torch.FloatTensor of size 6]

0.8415
-0.4794
-0.2555
-0.8632
0.0000
-0.2151
[torch.FloatTensor of size 6]
```

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 -5 to 5``a ``=` `np.linspace(``-``5``, ``5``, ``15``)`` ` `# Applying the sine function and``# storing the result in 'b'``b ``=` `torch.sin(torch.FloatTensor(a))`` ` `print``(b)`` ` `# Plotting``plt.plot(a, b.numpy(), color ``=` `'red'``, marker ``=` `"o"``) ``plt.title(``"torch.sin"``) ``plt.xlabel(``"X"``) ``plt.ylabel(``"Y"``) `` ` `plt.show()`

Output:

``` 0.9589
0.9103
0.4167
-0.2806
-0.8408
-0.9899
-0.6551
0.0000
0.6551
0.9899
0.8408
0.2806
-0.4167
-0.9103
-0.9589
[torch.FloatTensor of size 15]
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