code: def test_test_loader():
      test_loader = get_test_loader(4, pad_mode="resize")
      print(test_loader.num)
      for i, data in enumerate(test_loader):
          print(data.size())
          if i > 5:
              break
  
imports: import os, cv2, glob
  import numpy
  from PIL import Image
  import torch
  import torch.utils.data
  from torchvision import datasets, models, transforms
  from utils import read_masks, get_test_meta, get_nfold_split
  import augmentation
  from settings import *
label_desc: Use image node_id 11 for calling a global function with example usage: test_test_loader() without return types