docstr: Called at the beginning of each evaluation step.
docstr_tok: ["Called","at","the","beginning","of","each","evaluation","step","."]
code: def reset(self):
      """Called at the beginning of each evaluation step."""
      pass
  
file_path: ludwig/ludwig/utils/batch_size_tuner.py
imports: import gc
  import logging
  import statistics
  import time
  from abc import ABC
  from typing import Optional
  import torch
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import MAX_BATCH_SIZE_DATASET_FRACTION, MIN_POSSIBLE_BATCH_SIZE
label_desc: Use image node_id 3 for calling the BatchSizeEvaluator obj's underlying member method code with example usage: obj.reset() without return types