code: def create_batch(self, b):
      try:
          return (fa_collate, fa_convert)[self.prebatched](b)
      except Exception as e:
          if not self.prebatched:
              collate_error(e, b)
          raise
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from torch.utils.data.dataloader import _MultiProcessingDataLoaderIter, _SingleProcessDataLoaderIter, _DatasetKind
label_desc: Use image node_id 17 for calling the DataLoader obj's underlying member method code with example usage: obj.create_batch(b) and returns: fa_collate,  fa_convert