code: def aggregate(name: any, option_name: str, *args: Tuple[any, any]):
      r"""
      Aggregate configs
  
      Arguments:
          name: name of the aggregate
          option_name: aggregate option name
          *args: list of configs to be aggregated
      """
  
      config_class = _get_config_class(name)
      if config_class is None:
          raise ConfigsError(
              "You need to pass config item to aggregate"
          )
  
      config_class.aggregate(name, option_name, *args)
  
file_path: labml/client/labml/configs.py
imports: from typing import List, Callable, overload, Union, Tuple
  from labml.internal.configs.base import Configs
  from labml.internal.configs.config_item import ConfigItem
  from labml.utils.errors import ConfigsError
label_desc: Use image node_id 14 for calling a global function with example usage: aggregate(name, option_name) without return types