code: def fa_convert(t):
      "A replacement for PyTorch `default_convert` which maintains types and handles `Sequence`s"
      return (
          default_convert(t)
          if isinstance(t, _collate_types)
          else type(t)([fa_convert(s) for s in t])
          if isinstance(t, Sequence)
          else default_convert(t)
      )
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from torch.utils.data.dataloader import _MultiProcessingDataLoaderIter, _SingleProcessDataLoaderIter, _DatasetKind
label_desc: Use image node_id 3 for calling a global function with example usage: fa_convert(t) and returns: unknown