Python| PyTorch acos() 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.acos()
为 PyTorch 中的反余弦函数提供支持。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,则计算元素级反余弦。
Syntax: torch.acos(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 cos function and
# storing the result in 'b'
b = torch.acos(a)
print(b)
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 cosine function and
# storing the result in 'b'
b = torch.acos(torch.FloatTensor(a))
print(b)
# Plotting
plt.plot(a, b.numpy(), color = 'red', marker = "o")
plt.title("torch.acos")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
输出:
tensor([ 1.0000, -0.5000, 3.4000, 0.2000, 0.0000, -2.0000])
tensor([0.0000, 2.0944, nan, 1.3694, 1.5708, 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 cosine function and
# storing the result in 'b'
b = torch.acos(torch.FloatTensor(a))
print(b)
# Plotting
plt.plot(a, b.numpy(), color = 'red', marker = "o")
plt.title("torch.acos")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
输出:
tensor([3.1416, 2.6005, 2.3664, 2.1790, 2.0137, 1.8605, 1.7141, 1.5708, 1.4274,
1.2810, 1.1279, 0.9626, 0.7752, 0.5411, 0.0000])