Python| PyTorch atan() 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.atan()为 PyTorch 中的反正切函数提供支持。它以弧度形式给出输出。输入类型是张量，如果输入包含多个元素，则计算元素的反正切。

Syntax: torch.atan(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, 0.2, 0.0, -2])
print(a)
  
# Applying the inverse tan function and
# storing the result in 'b'
b = torch.atan(a)
print(b)

输出：

tensor([ 1.0000, -0.5000,  3.4000,  0.2000,  0.0000, -2.0000])
tensor([ 0.7854, -0.4636,  1.2847,  0.1974,  0.0000, -1.1071])

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 inverse tangent function and
# storing the result in 'b'
b = torch.atan(torch.FloatTensor(a))
  
print(b)
  
# Plotting
plt.plot(a, b.numpy(), color = 'red', marker = "o") 
plt.title("torch.atan") 
plt.xlabel("X") 
plt.ylabel("Y") 
  
plt.show()

输出：

tensor([-1.3734, -1.3416, -1.2978, -1.2341, -1.1342, -0.9601, -0.6202,  0.0000,
         0.6202,  0.9601,  1.1342,  1.2341,  1.2978,  1.3416,  1.3734])