class_docstr: Initializing data loader for NNCF to be used with unsupervised training algorithms.
docstr: Return next item from dataloader iterator.
docstr_tok: ["Return","next","item","from","dataloader","iterator","."]
code: def __next__(self) -> Any:
      """Return next item from dataloader iterator."""
      loaded_item = next(self._data_loader_iter)
      return loaded_item["image"]
  
imports: from __future__ import annotations
  import logging
  from copy import copy
  from typing import Any, Iterator
  from nncf import NNCFConfig
  from nncf.api.compression import CompressionAlgorithmController
  from nncf.torch import create_compressed_model, load_state, register_default_init_args
  from nncf.torch.initialization import PTInitializingDataLoader
  from nncf.torch.nncf_network import NNCFNetwork
  from torch import nn
  from torch.utils.data.dataloader import DataLoader
label_desc: Use image node_id 3 for calling the InitLoader obj's underlying member method code with example usage: obj.__next__() and returns: loaded_item