torch.nn.Module.named

The torch.nn.Module.named_parameters() method returns an iterator that yields tuples containing both the name and the parameter tensor for each parameter in the module.

Iterator-based: Returns an iterator rather than a list, making it memory-efficient for large models

Hierarchical naming: Parameter names reflect the module hierarchy using dot notation (e.g., layer1.weight)

Recursive by default: Includes parameters from all submodules unless specified otherwise

Selective
Parameter Freezing

Module — PyTorch 2.2 documentation

Modules can also contain other Modules, allowing to nest them in a tree structure. You can assign the submodules as regular attributes:

https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.named_parameters

torch.nn.Module.named_parameters()

Selective Parameter Freezing

Recommendations

Selective
Parameter Freezing