pytorch如何将两个子模型合并为一个大模型

前言：

如果你有两个子模型，想要将它们合在一起形成一个更大的模型，可以一起来看看。

合并的例子

下面是一个例子，演示了如何将两个子模型合并为一个模型：

import torch.nn as nn

class SubModel1(nn.Module):
    def __init__(self):
        super(SubModel1, self).__init__()
        self.fc1 = nn.Linear(784, 512)
        self.relu = nn.ReLU()
        self.fc2 = nn.Linear(512, 256)

    def forward(self, x):
        x = x.view(-1, 784)
        x = self.fc1(x)
        x = self.relu(x)
        x = self.fc2(x)
        return x

class SubModel2(nn.Module):
    def __init__(self):
        super(SubModel2, self).__init__()
        self.fc3 = nn.Linear(256, 128)
        self.relu = nn.ReLU()
        self.fc4 = nn.Linear(128, 10)

    def forward(self, x):
        x = self.fc3(x)
        x = self.relu(x)
        x = self.fc4(x)
        return x

class CombinedModel(nn.Module):
    def __init__(self, submodel1, submodel2):
        super(CombinedModel, self).__init__()
        self.submodel1 = submodel1
        self.submodel2 = submodel2

    def forward(self, x):
        x = self.submodel1(x)
        x = self.submodel2(x)
        return x

submodel1 = SubModel1()
submodel2 = SubModel2()
combined_model = CombinedModel(submodel1, submodel2)