code: def call_method(self, node: Node, target: Any, name: str):
      if self.is_graph_level(node):
          return
  
      # Add calls to node type-wise or edge type-wise methods.
      self.graph.inserting_after(node)
      for key in self.metadata[int(self.is_edge_level(node))]:
          args, kwargs = self.map_args_kwargs(node, key)
          out = self.graph.create_node(
              "call_method",
              target=target,
              args=args,
              kwargs=kwargs,
              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 8 for calling the ToHeteroTransformer obj's underlying member method code with example usage: obj.call_method(node, target, name) without return types