class_docstr: Initializing data loader for NNCF to be used with unsupervised training algorithms.
docstr: Create iterator for dataloader.
docstr_tok: ["Create","iterator","for","dataloader","."]
code: def __iter__(self):
      """Create iterator for dataloader."""
      self._data_loader_iter = iter(self._data_loader)
      return self
  
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 2 for calling the InitLoader obj's underlying member method code with example usage: obj.__iter__() and returns: self