The torch.sin () function provides support for the sine function in PyTorch. It expects input in radians, and output is in the range [-1, 1]. Input type — tensor, and if the input contains more than one element, the elementwise sine is calculated.

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:

Exit :

 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] 

< p> Code # 2: Rendering

# 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)   # Applying the sin function and # saving the result to & # 39; b & # 39; b = torch.sin (a) print (b)

# Import PyTorch library import torch   # Importing the NumPy library import numpy as np   # Import matplotlib.pylot function import matplotlib.pyplot as plt   # Vector size 15 with values ​​from -5 to 5 a = np.linspace ( - 5 ,  5 , 15 )   # Applying the sine and function # save the result to & # 39; b & # 39; 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]