code: def generate_compiler_repro_string(
      gm, args, *, stable_output=False, save_dir=None
  ):
      model_str = textwrap.dedent(
          f"""
  import torch
  from torch import tensor, device
  import torch.fx as fx
  from torch._dynamo.testing import rand_strided
  from math import inf
  import torch._inductor.inductor_prims
  
  {generate_config_string(stable_output=stable_output)}
  
  isolate_fails_code_str = None
  
  {extra_imports}
  
          """
      )
      if not stable_output:
          model_str += f"# torch version: {torch.version.__version__}\n"
          if hasattr(torch.version, "cuda"):
              model_str += (
                  f"# torch cuda version: {torch.version.cuda}\n"
              )
          if hasattr(torch.version, "git_version"):
              model_str += f"# torch git version: {torch.version.git_version}\n\n\n"
          model_str += _cuda_system_info_comment()
  
      model_str += NNModuleToString.convert(gm)
  
      # get hint shape/stride when dynamic shape enabled
      def hint_if_symint(x):
          return tuple(
              i.node.hint if isinstance(i, torch.SymInt) else i
              for i in x
          )
  
      writer = InputWriter(save_dir)
      for placeholder, arg in zip(fx_placeholder_targets(gm), args):
          if isinstance(arg, (int, torch.SymInt)):
              writer.symint(placeholder, arg)
          elif isinstance(arg, torch.Tensor):
              # TODO: improve these names with FQN
              writer.tensor(placeholder, arg)
          else:
              raise TypeError(
                  f"arg is neither SymInt/int nor torch.Tensor, {arg}"
              )
  
      model_str += "\n".join(writer.lines()) + "\n"
  
      model_str += "mod = Repro()\n"
      return model_str
  
imports: import argparse
  import copy
  import functools
  import io
  import logging
  import os
  import shutil
  import subprocess
  import sys
  import textwrap
  import uuid
  from importlib import import_module
  from tempfile import TemporaryFile
  from typing import Any, Callable, Dict, Union
  import torch
  import torch.fx
  import torch.nn
  from torch._dynamo.debug_utils import _cuda_system_info_comment, AccuracyError, backend_accuracy_fails, BuckTargetWriter, cast_to_fp64, extra_imports, generate_config_string, helper_for_dump_minify, InputReader, InputWriter, MAX_CONSTANT_NUMEL_INLINE, minifier_dir, NNModuleToString, NopInputReader, same_two_models
  from torch._dynamo.utils import clone_inputs, counters, same
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.fx.experimental.symbolic_shapes import fx_placeholder_targets, has_free_symbols
  from torch.hub import tqdm
  from ..None import config
label_desc: Use image node_id 2 for calling a global function with example usage: generate_compiler_repro_string(gm, args) and returns: model_str, tuple