class_docstr: Initializing data loader for NNCF to be used with unsupervised training algorithms.
code: def __init__(self, data_loader: DataLoader):
      super().__init__(data_loader)
      self._data_loader_iter: Iterator
  
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 1 to create a new InitLoader object from inherited base classes: PTInitializingDataLoader with example: obj = InitLoader(data_loader)