Python| PyTorch sin() 方法

PyTorch 是 Facebook 开发的开源机器学习库。它用于深度神经网络和自然语言处理目的。

函数torch.sin()为 PyTorch 中的正弦函数提供支持。它期望以弧度形式输入，输出在 [-1, 1] 范围内。输入类型是张量，如果输入包含多个元素，则计算元素正弦。

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.

代码#1：

Python3

# 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)

输出：

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]

代码 #2：可视化

Python3

# 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()

输出：

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]