code: def _decide_input_format(model, args):
      try:
          sig = _signature(model)
      except ValueError as e:
          warnings.warn(f"{e}, skipping _decide_input_format")
          return args
      try:
          ordered_list_keys = list(sig.parameters.keys())
          if ordered_list_keys[0] == "self":
              ordered_list_keys = ordered_list_keys[1:]
          args_dict: Dict = {}
          if isinstance(args, list):
              args_list = args
          elif isinstance(args, tuple):
              args_list = list(args)
          else:
              args_list = [args]
          if isinstance(args_list[-1], dict):
              args_dict = args_list[-1]
              args_list = args_list[:-1]
          n_nonkeyword = len(args_list)
          for optional_arg in ordered_list_keys[n_nonkeyword:]:
              if optional_arg in args_dict:
                  args_list.append(args_dict[optional_arg])
              # Check if this arg has a default value
              else:
                  param = sig.parameters[optional_arg]
                  if param.default != param.empty:
                      args_list.append(param.default)
          args = (
              args_list if isinstance(args, list) else tuple(args_list)
          )
      # Cases of models with no input args
      except IndexError:
          warnings.warn("No input args, skipping _decide_input_format")
      except Exception as e:
          warnings.warn(f"Skipping _decide_input_format\n {e.args[0]}")
  
      return args
  
imports: from __future__ import annotations
  import contextlib
  import copy
  import inspect
  import io
  import re
  import textwrap
  import typing
  import warnings
  from typing import Any, Callable, cast, Collection, Dict, List, Mapping, Optional, Sequence, Set, Tuple, Type, Union
  import torch
  import torch._C._onnx
  import torch.jit._trace
  import torch.serialization
  from torch import _C
  from torch.onnx import _constants, _exporter_states, errors, symbolic_caffe2, symbolic_helper
  from torch.onnx._globals import GLOBALS
  from torch.onnx._internal import _beartype, diagnostics, jit_utils, onnx_proto_utils, registration
label_desc: Use image node_id 16 for calling a global function with example usage: _decide_input_format(model, args) and returns: args, args