code: def __init__(self, graph: Graph):
      super().__init__()
      self.graph = graph
      self.scope = Scope("", None)
      self.module_stack = collections.OrderedDict()
      self.node_name_to_scope = {}
  
imports: import enum
  import dis
  import copy
  import sys
  import torch
  import inspect
  import operator
  import traceback
  import collections
  from dataclasses import is_dataclass, fields
  from .graph import magic_methods, reflectable_magic_methods, Graph
  from typing import Tuple, Dict, OrderedDict, Optional, Any, Iterator, Callable
  from .node import Target, Node, Argument, base_types, map_aggregate
  from ._compatibility import compatibility
  from .operator_schemas import check_for_mutable_operation
  import torch.fx.traceback
label_desc: Use image node_id 1 to create a new GraphAppendingTracer object from inherited base classes: TracerBase with example: obj = GraphAppendingTracer(graph)