code: def _log_config_mismatch(
      self,
      trainer_units: str,
      trainer_len: float,
  ) -> None:
      logger.warning(
          f"Searcher configuration does not match HF Trainer configuration. "
          f"Searcher uses {self.searcher_unit}={self.searcher_max_length}, "
          f"while HF Trainer uses {trainer_units}={trainer_len}. "
          f"Continuing this run may cause Searcher not to behave correctly. "
          f"Make sure to match the units between HF Trainer and Searcher: "
          f"use (--num_train_epochs and searcher.max_length.epochs) OR "
          f"(--max_steps and searcher.max_length.batches)."
      )
  
imports: import json
  import logging
  import os
  from typing import Any, Dict, List, Optional, Tuple
  from transformers import TrainerCallback, TrainerControl, TrainerState, TrainingArguments
  from transformers.trainer_utils import get_last_checkpoint
  import determined
label_desc: Use image node_id 13 for calling the DetCallback obj's underlying member method code with example usage: obj._log_config_mismatch(trainer_units, trainer_len) without return types