pytorch模块中已初始化的类成员

import torch
import torch.nn as nn

class MyModel(nn.Module):
    def __init__(self):
        super(MyModel, self).__init__()
        
        # 初始化类成员
        self.fc1 = nn.Linear(10, 5)
        self.relu = nn.ReLU()
        self.fc2 = nn.Linear(5, 2)
        self.softmax = nn.Softmax(dim=1)
    
    def forward(self, x):
        # 使用已初始化的类成员
        x = self.fc1(x)
        x = self.relu(x)
        x = self.fc2(x)
        x = self.softmax(x)
        return x

# 创建模型实例
model = MyModel()

# 使用模型进行前向传播
input_data = torch.randn(1, 10)
output = model(input_data)
print(output)