code: def init_lazy_modules(
      module: nn.Module, dummy_input: Tuple[torch.Tensor, ...]
  ) -> nn.Module:
      """Finalize an nn.Module which has Lazy components. This will both mutate internal
      modules which have Lazy elements, and return a new non-lazy nn.Module (in case
      the top-level module itself is Lazy).
  
      Args:
          module: An nn.Module which may be lazy or contain Lazy subcomponents
          dummy_input: module is called with this input to ensure that Lazy subcomponents
              have been able to infer any parameters they need
      Returns:
          The full nn.Module object constructed using inferred arguments/dimensions.
      """
      module(*dummy_input)
      return replace_lazy_modules(module)
  
imports: import functools
  from typing import Tuple
  import torch
  from torch import nn
label_desc: Use image node_id 2 for calling a global function with example usage: init_lazy_modules(module, dummy_input) and returns: replace_lazy_modules