Python | PyTorch sin() method
Last Updated :
07 Jan, 2022
Improve
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
Python3
Output:
Python3
Output:
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)
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.pyplot 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()
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]
