code: def __init__(
      self,
      parameters: Optional[Mapping[Key, Parameter]] = None,
  ):
      # Replace the keys in modules.
      if parameters:
          parameters = {
              self.to_internal_key(key): parameter
              for key, parameter in parameters.items()
          }
      super().__init__(parameters)
  
file_path: pytorch_geometric/torch_geometric/nn/parameter_dict.py
imports: from typing import Final, Iterable, Mapping, Optional, Set, Tuple, Union
  import torch
  from torch.nn import Parameter
label_desc: Use image node_id 1 to create a new ParameterDict object from inherited base classes: torch.nn with example: obj = ParameterDict(parameters)