code: def split_args(args):
      """
      Split arguments in a way to be suitable for using with the factory types. If `args` is a string it's interpreted as
      the type name.
  
      Args:
          args (str or a tuple of object name and kwarg dict): input arguments to be parsed.
  
      Raises:
          TypeError: When ``args`` type is not in ``Union[str, Tuple[Union[str, Callable], dict]]``.
  
      Examples::
  
          >>> act_type, args = split_args("PRELU")
          >>> monai.networks.layers.Act[act_type]
          <class 'torch.nn.modules.activation.PReLU'>
  
          >>> act_type, args = split_args(("PRELU", {"num_parameters": 1, "init": 0.25}))
          >>> monai.networks.layers.Act[act_type](**args)
          PReLU(num_parameters=1)
  
      """
  
      if isinstance(args, str):
          return args, {}
      name_obj, name_args = args
  
      if not (
          isinstance(name_obj, str) or callable(name_obj)
      ) or not isinstance(name_args, dict):
          msg = "Layer specifiers must be single strings or pairs of the form (name/object-types, argument dict)"
          raise TypeError(msg)
  
      return name_obj, name_args
  
imports: from __future__ import annotations
  import warnings
  from collections.abc import Callable
  from typing import Any
  import torch.nn
  from monai.networks.utils import has_nvfuser_instance_norm
  from monai.utils import ComponentStore, look_up_option, optional_import
label_desc: Use image node_id 1 for calling a global function with example usage: split_args(args) and returns: name_obj,  name_args, args,  dict