Skip to content
Related Articles

Related Articles

Improve Article

Python | PyTorch sin() method

  • Last Updated : 13 Dec, 2018
Geek Week

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]

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :