code: def __init__(
      self,
      data_loader: DataLoader,
      image_extractor: Callable,
      label_extractor: Callable,
      auto_reset: bool = True,
  ) -> None:
      super().__init__(data_loader, image_extractor, label_extractor)
      self.auto_reset = auto_reset
  
imports: from __future__ import annotations
  import pickle
  import types
  import warnings
  from functools import partial
  from typing import TYPE_CHECKING, Any, Callable
  import numpy
  import torch
  import torch.nn
  from torch.optim import Optimizer
  from torch.serialization import DEFAULT_PROTOCOL
  from torch.utils.data import DataLoader
  from monai.networks.utils import eval_mode
  from monai.optimizers.lr_scheduler import ExponentialLR, LinearLR
  from monai.utils import StateCacher, copy_to_device, optional_import
label_desc: Use image node_id 1 to create a new TrainDataLoaderIter object from inherited base classes: DataLoaderIter with example: obj = TrainDataLoaderIter(data_loader, image_extractor, label_extractor, auto_reset)