class_docstr: Save the data in a dictionary format cache, and write to a CSV file finally.
  Typically, the data can be classification predictions, call `save` for single data
  or call `save_batch` to save a batch of data together, and call `finalize` to write
  the cached data into CSV file. If no metadata provided, use index from 0 to save data.
  Note that this saver can't support multi-processing because it reads / writes single
  CSV file and can't guarantee the data order in multi-processing situation.
docstr: Clear the cache dictionary content
docstr_tok: ["Clear","the","cache","dictionary","content"]
code: def reset_cache(self) -> None:
      """Clear the cache dictionary content"""
      self._cache_dict.clear()
  
file_path: MONAI/monai/data/csv_saver.py
imports: from __future__ import annotations
  import os
  import warnings
  from collections import OrderedDict
  from pathlib import Path
  import numpy
  import torch
  from monai.config.type_definitions import PathLike
  from monai.utils import ImageMetaKey
label_desc: Use image node_id 6 for calling the CSVSaver obj's underlying member method code with example usage: obj.reset_cache() without return types