code: def test_loader(self) -> Iterator:
      return self.dataset.test_loader(
          batch_size=self.batch_size,
          cuda_device=self.cuda_device,
          n_workers=self.n_loader_workers,
      )
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Optional, Iterable, Iterator
  from pathlib import Path
  import math
  from tqdm import tqdm
  from torch import Tensor
  from torch import nn
  from torch.utils.data import Dataset, DataLoader
  import torch
  import numpy
label_desc: Use image node_id 3 for calling the Evaluator obj's underlying member method code with example usage: obj.test_loader() and returns: self