code: def _finish(self) -> Iterable[object]:
      assert self._done
      if len(self.current_items) > 0:
          self.stream.synchronize()
      return self.current_items
  
imports: import collections
  import dataclasses
  import io
  import os
  import pickle
  import queue
  import threading
  from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from typing import Callable, cast, Dict, Iterable, Iterator, List, Optional, Tuple, Union
  import fsspec
  from fsspec import AbstractFileSystem
  from fsspec.core import url_to_fs
  import torch
  from torch import Tensor
  from torch._utils import _get_device_module
  from torch.distributed._shard._utils import narrow_tensor_by_index
  from torch.distributed.checkpoint.metadata import Metadata, MetadataIndex
  from torch.distributed.checkpoint.planner import LoadItemType, LoadPlan, LoadPlanner, ReadItem, SavePlan, SavePlanner, WriteItem, WriteItemType
  from torch.distributed.checkpoint.storage import StorageReader, StorageWriter, WriteResult
  from torch.distributed.checkpoint.utils import _create_file_view
  from torch.futures import Future
label_desc: Use image node_id 5 for calling the _OverlappingCpuLoader obj's underlying member method code with example usage: obj._finish() and returns: self