code: def train_dataloader(self):
      patches = self.cut_patches()
      return self.dataloader(
          patches,
          batch_size=self.batch_size,
          shuffle=True,
          max_length=self.patch_num,
      )
  
imports: from typing import Callable, Dict
  import torch
  from torch.utils.data import Dataset
  import torchvision.transforms.functional
  from torchvision import transforms
  import pytorch_lightning
  from collections.abc import Iterable
  from pathlib import Path
  from PIL import Image
  from typing import Tuple
label_desc: Use image node_id 3 for calling the PatchDataModule obj's underlying member method code with example usage: obj.train_dataloader() and returns: self