code: def find_module_instances(
      module: nn.Module, search_class: Type[nn.Module]
  ) -> List[Tuple[str, nn.Module]]:
      """
      Find all occurrences of a given search_class among the given Modules's
      children and return the corresponding paths in the same format as
      state_dicts.
  
      Usage::
  
          net = nn.Sequential(
              nn.Linear(1, 1),
              nn.ModuleDict({"ln": nn.LayerNorm(1), "linear": nn.Linear(1, 1)}),
              nn.LayerNorm(1)
          )
  
          >>> find_module_instances(net, nn.LayerNorm)
          [('1.ln.', LayerNorm((1,), eps=1e-05, elementwise_affine=True)), ('2.', LayerNorm((1,), eps=1e-05, elementwise_affine=True))]
          >>> find_module_instances(net, nn.Dropout)
          []
          >>> find_module_instances(net, nn.Sequential)
          [('', Sequential(
            (0): Linear(in_features=1, out_features=1, bias=True)
            (1): ModuleDict(
              (ln): LayerNorm((1,), eps=1e-05, elementwise_affine=True)
              (linear): Linear(in_features=1, out_features=1, bias=True)
            )
            (2): LayerNorm((1,), eps=1e-05, elementwise_affine=True)
          ))]
      """
      paths = []
  
      def add_paths_(module: nn.Module, prefix: str = "") -> None:
          if isinstance(module, search_class):
              paths.append((prefix, module))
          for name, child in module.named_children():
              add_paths_(child, prefix + name + ".")
  
      add_paths_(module)
      return paths
  
label_desc: Use image node_id 1 for calling a global function with example usage: find_module_instances(module, search_class) and returns: paths