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: Save a batch of data into the cache dictionary.
  
  Args:
      batch_data: target batch data content that save into cache.
      meta_data: every key-value in the meta_data is corresponding to 1 batch of data.
docstr_tok: ["Save","a","batch","of","data","into","the","cache","dictionary",".","Args",":","batch_data",":","target","batch","data","content","that","save","into","cache",".","meta_data",":","every","key-value","in","the","meta_data","is","corresponding","to","1","batch","of","data","."]
code: def save_batch(
      self,
      batch_data: torch.Tensor | np.ndarray,
      meta_data: dict | None = None,
  ) -> None:
      """Save a batch of data into the cache dictionary.
  
      Args:
          batch_data: target batch data content that save into cache.
          meta_data: every key-value in the meta_data is corresponding to 1 batch of data.
  
      """
      for i, data in enumerate(batch_data):  # save a batch of files
          self.save(
              data,
              {k: meta_data[k][i] for k in meta_data}
              if meta_data
              else None,
          )
  
      if self.flush:
          self.finalize()
  
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 4 for calling the CSVSaver obj's underlying member method code with example usage: obj.save_batch(batch_data, meta_data) without return types