code: def repro_run(options, mod, load_args):
      from torch._inductor.compile_fx import compile_fx_inner
  
      mod, args = repro_common(options, mod, load_args)
  
      from torch.cuda import synchronize
  
      compiled = compile_fx_inner(mod, args)
  
      if options.accuracy != "":
          # We don't really respect --accuracy vs --strict-accuracy here, it
          # seems counterintuitive
          if not same_two_models(mod, compiled, args, only_fwd=True):
              raise AccuracyError("Bad accuracy detected")
      else:
          need_sync = False
          for arg in args:
              if isinstance(arg, torch.Tensor) and arg.is_cuda:
                  need_sync = True
                  break
          ref = compiled(args)
          if need_sync:
              synchronize()
  
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 13 for calling a global function with example usage: repro_run(options, mod, load_args) without return types