class_docstr: An fx.Tracer that allows the user to specify a set of leaf modules, i.e.
  modules that are not to be traced through. The resulting graph ends up
  having single nodes referencing calls to the leaf modules' forward methods.
code: def is_leaf_module(self, m: nn.Module, module_qualname: str) -> bool:
      if isinstance(m, tuple(self.leaf_modules)):
          return True
      return super().is_leaf_module(m, module_qualname)
  
imports: import inspect
  import math
  import re
  import warnings
  from collections import OrderedDict
  from copy import deepcopy
  from itertools import chain
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torchvision
  from torch import fx, nn
  from torch.fx.graph_module import _copy_attr
label_desc: Use image node_id 2 for calling the LeafModuleAwareTracer obj's underlying member method code with example usage: obj.is_leaf_module(m, module_qualname) and returns: super, True