Python | PyTorch sin() method
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 tensorReturn 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) |
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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() |
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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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