Could plz tell me what is the meaning or function about parameter 【kwargs】and the symbol 【××】before kwargs？

vision
1 
import torch
from torch import nn

class MLP(nn.Module):
    # 声明带有模型参数的层，这里声明了两个全连接层
    def __init__(self, **kwargs):
        # 调用MLP父类Module的构造函数来进行必要的初始化。这样在构造实例时还可以指定其他函数
        # 参数，如“模型参数的访问、初始化和共享”一节将介绍的模型参数params
        super(MLP, self).__init__(**kwargs)
        self.hidden = nn.Linear(784, 256) # 隐藏层
        self.act = nn.ReLU()
        self.output = nn.Linear(256, 10)  # 输出层


    # 定义模型的前向计算，即如何根据输入x计算返回所需要的模型输出
    def forward(self, x):
        a = self.act(self.hidden(x))
        return self.output(a)
2

Hi,
**kwargs enables you to pass additional parameters to a function with specific variable names. To demonstrate, –

def explaining_kwargs(**kwargs):  
    for key, value in kwargs.items(): 
        print ("Key {} Value {}".format(key, value))
  
explaining_kwargs(Yes="Shi",I="Yishi",teacher="Laoshi")

This would print:

Key Yes Value Shi
Key I Value Yishi
Key teacher Value Laoshi

Does that answer your query?