code: def init_training(config: Coqpit = None):
      """Initialization of a training run."""
      parser = init_arguments()
      args = parser.parse_known_args()
      (
          config,
          OUT_PATH,
          AUDIO_PATH,
          c_logger,
          dashboard_logger,
      ) = process_args(args, config)
      return (
          args[0],
          config,
          OUT_PATH,
          AUDIO_PATH,
          c_logger,
          dashboard_logger,
      )
  
file_path: TTS/TTS/encoder/utils/training.py
imports: import os
  from dataclasses import dataclass, field
  from coqpit import Coqpit
  from trainer import TrainerArgs, get_last_checkpoint
  from trainer.io import copy_model_files
  from trainer.logging import logger_factory
  from trainer.logging.console_logger import ConsoleLogger
  from TTS.config import load_config, register_config
  from TTS.tts.utils.text.characters import parse_symbols
  from TTS.utils.generic_utils import get_experiment_folder_path, get_git_branch
label_desc: Use image node_id 4 for calling a global function with example usage: init_training(config) and returns: args,  config,  OUT_PATH,  AUDIO_PATH,  c_logger,  dashboard_logger