class_docstr: This class provides interface functions for users to get the parallel context,
  such as the global rank, the local rank, the world size, etc. of each device.
  
  Note:
      The parallel_mode used in this class should be concluded in ``ParallelMode``.
      More details about ``ParallelMode`` could be found in
      `parallel_mode <https://github.com/hpcaitech/ColossalAI/blob/main/colossalai/context/parallel_mode.py>`_.
docstr: Loads the configuration from either a dict or a file.
  
  Args:
      config (dict or str): Either a dict containing the configuration information or the filename
          of a file containing the configuration information.
  
  Raises:
      TypeError: Raises a TypeError if `config` is neither a dict nor a str.
docstr_tok: ["Loads","the","configuration","from","either","a","dict","or","a","file",".","Args",":","config","(","dict","or","str",")",":","Either","a","dict","containing","the","configuration","information","or","the","filename","of","a","file","containing","the","configuration","information",".","Raises",":","TypeError",":","Raises","a","TypeError","if","`","config","`","is","neither","a","dict","nor","a","str","."]
code: def load_config(self, config: Union[dict, str]):
      """Loads the configuration from either a dict or a file.
  
      Args:
          config (dict or str): Either a dict containing the configuration information or the filename
              of a file containing the configuration information.
  
      Raises:
          TypeError: Raises a TypeError if `config` is neither a dict nor a str.
      """
      if isinstance(config, str):
          self._config = Config.from_file(config)
      elif isinstance(config, dict):
          self._config = Config(config)
      else:
          raise TypeError(
              "Invalid type for config, only dictionary or string is supported"
          )
  
imports: import random
  import socket
  from collections import Counter
  from typing import Union
  import numpy
  import torch
  import torch.distributed
  from colossalai.context.config import Config
  from colossalai.context.singleton_meta import SingletonMeta
  from colossalai.legacy.constants import ALLOWED_MODES, INITIALIZER_MAPPING
  from colossalai.legacy.global_variables import tensor_parallel_env
  from colossalai.legacy.registry import DIST_GROUP_INITIALIZER
  from colossalai.logging import get_dist_logger
  from .parallel_mode import ParallelMode
  from .random import add_seed, get_seeds, set_mode
label_desc: Use image node_id 6 for calling the ParallelContext obj's underlying member method code with example usage: obj.load_config(config) without return types