code: def placeholder(self, node: Node, target: Any, name: str):
      # Adds a `get` call to the input dictionary for every node-type or
      # edge-type.
      if node.type is not None:
          Type = EdgeType if self.is_edge_level(node) else NodeType
          node.type = Dict[Type, node.type]
  
      self.graph.inserting_after(node)
  
      dict_node = self.graph.create_node(
          "call_function",
          target=get_dict,
          args=(node,),
          name=f"{name}_dict",
      )
      self.graph.inserting_after(dict_node)
  
      for key in self.metadata[int(self.is_edge_level(node))]:
          out = self.graph.create_node(
              "call_method",
              target="get",
              args=(dict_node, key, None),
              name=f"{name}__{key2str(key)}",
          )
          self.graph.inserting_after(out)
  
imports: import copy
  import warnings
  from collections import defaultdict, deque
  from typing import Any, Dict, Optional, Tuple, Union
  import torch
  from torch.nn import Module
  from torch_geometric.nn.dense.linear import is_uninitialized_parameter
  from torch_geometric.nn.fx import Transformer, get_submodule
  from torch_geometric.typing import EdgeType, Metadata, NodeType
  from torch_geometric.utils.hetero import check_add_self_loops, get_unused_node_types
label_desc: Use image node_id 3 for calling the ToHeteroTransformer obj's underlying member method code with example usage: obj.placeholder(node, target, name) without return types