Python | PyTorch sin () method



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]