code: def generate_config_string(*, stable_output=False):
      import torch._functorch.config
      import torch._inductor.config
  
      if stable_output:
          return "# config omitted due to stable_output=True"
  
      return f"""\
  import torch._dynamo.config
  import torch._inductor.config
  import torch._functorch.config
  import torch.fx.experimental._config
  {torch._dynamo.config.codegen_config()}
  {torch._inductor.config.codegen_config()}
  {torch._functorch.config.codegen_config()}
  {torch.fx.experimental._config.codegen_config()}
  """
  
imports: import copy
  import functools
  import getpass
  import itertools
  import logging
  import os
  import subprocess
  import tempfile
  import textwrap
  from collections import Counter
  from importlib import import_module
  from typing import Callable, Optional, TypeVar
  import torch
  import torch._prims_common
  import torch._subclasses.meta_utils
  from torch._dynamo.testing import rand_strided
  from torch._prims_common import is_float_dtype
  from torch.multiprocessing.reductions import StorageWeakRef
  from torch.utils._content_store import ContentStoreReader, ContentStoreWriter
  from .None import config
  from .utils import clone_inputs, get_debug_dir
label_desc: Use image node_id 3 for calling a global function with example usage: generate_config_string() and returns: str, torch, str, torch, str, torch, str, torch, str, str