code: def return_modules(self):
      return [*self.b1, *self.b2, *self.b3, *self.b4, *self.b5]
  
imports: from tinygrad.nn import Conv2d, BatchNorm2d
  from tinygrad.tensor import Tensor
  import numpy
  from itertools import chain
  from pathlib import Path
  import cv2
  from collections import defaultdict
  import time, sys
  from tinygrad.helpers import fetch
  from tinygrad.nn.state import safe_load, load_state_dict
label_desc: Use image node_id 2 for calling the Darknet obj's underlying member method code with example usage: obj.return_modules() and returns: list