code: def __init__(
      self,
      data_dict,
      patch_size: int = 2**5,
      batch_size: int = 2**4,
      patch_num: int = 2**6,
  ):
      super().__init__()
      self.data_dict = data_dict
      self.H, self.W = data_dict["H"], data_dict["W"]
      self.len = data_dict["len"]
  
      self.batch_size = batch_size
      self.patch_size = patch_size
      self.patch_num = 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 1 to create a new PatchDataModule object from inherited base classes: pl with example: obj = PatchDataModule(data_dict, patch_size, batch_size, patch_num)