Python| PyTorch asin() 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.asin() 为 PyTorch 中的反正弦函数提供支持。它期望输入在 [-1, 1] 范围内，并以弧度形式给出输出。如果输入不在 [-1, 1] 范围内，则返回nan 。输入类型是张量，如果输入包含多个元素，则计算元素的反正弦。

Syntax: torch.asin(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 sin function and
# storing the result in 'b'
b = torch.asin(a)
print(b)

输出：

tensor([ 1.0000, -0.5000,  3.4000,  0.2000,  0.0000, -2.0000])
tensor([ 1.5708, -0.5236,     nan,  0.2014,  0.0000,     nan])

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 -1 to 1
a = np.linspace(-1, 1, 15)
 
# Applying the inverse sine function and
# storing the result in 'b'
b = torch.asin(torch.FloatTensor(a))
 
print(b)
 
# Plotting
plt.plot(a, b.numpy(), color = 'red', marker = "o")
plt.title("torch.asin")
plt.xlabel("X")
plt.ylabel("Y")
 
plt.show()

输出：

tensor([-1.5708, -1.0297, -0.7956, -0.6082, -0.4429, -0.2898, -0.1433,  0.0000,
         0.1433,  0.2898,  0.4429,  0.6082,  0.7956,  1.0297,  1.5708])