code: def test_get_cifar(dataset, testing_cfg):
      cfg = testing_cfg
      cfg.DATASET.NAME = dataset
      train_loader, valid_loader = get_cifar(cfg)
      assert isinstance(train_loader, torch.utils.data.DataLoader)
      assert isinstance(valid_loader, torch.utils.data.DataLoader)
  
file_path: pykale/tests/loaddata/test_image_access.py
imports: import pytest
  import torch
  from numpy import testing
  from yacs.config import CfgNode
  from kale.loaddata.dataset_access import get_class_subset
  from kale.loaddata.image_access import DigitDataset, DigitDatasetAccess, get_cifar, ImageAccess
  from kale.loaddata.multi_domain import DomainsDatasetBase, MultiDomainAdapDataset, MultiDomainDatasets
label_desc: Use image node_id 10 for calling a global function with example usage: test_get_cifar(dataset, testing_cfg) without return types