code: def transform(self) -> GraphModule:
      self._node_offset_dict_initialized = False
      self._edge_offset_dict_initialized = False
      self._edge_type_initialized = False
      out = super().transform()
      del self._node_offset_dict_initialized
      del self._edge_offset_dict_initialized
      del self._edge_type_initialized
      return out
  
imports: import copy
  import warnings
  from typing import Any, Dict, List, Optional, Union
  import torch
  from torch import Tensor
  from torch.nn import Module, Parameter
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.dense import Linear
  from torch_geometric.nn.fx import Transformer
  from torch_geometric.typing import EdgeType, Metadata, NodeType, SparseTensor
  from torch_geometric.utils.hetero import get_unused_node_types
label_desc: Use image node_id 3 for calling the ToHeteroWithBasesTransformer obj's underlying member method code with example usage: obj.transform() and returns: out