nn.ModuleDict

nn.ModuleDict is a class in PyTorch that is used to store a collection of nn.Modules as a dictionary. It inherits from the nn.Module class and can be used as a container to group multiple nn.Modules together.

The keys of the dictionary are used to access the individual modules within the ModuleDict, and the values are instances of the nn.Module class. This makes it easy to organize and manage multiple modules that are used in a neural network.

For example, if you have multiple layers in your neural network, you can group them together using a ModuleDict. This can make it easier to pass them around and access them in different parts of your code.

ModuleDict is also useful when you want to pass a collection of parameters to an optimizer. You can simply pass the ModuleDict to the optimizer and it will automatically extract all the parameters from the contained modules.

Overall, ModuleDict is a convenient way to group and organize multiple nn.Modules in PyTorch.