code: def test_loader_func(config, batch_size):
      _, test_dataset = load_dataset(
          config["data_dir"], config["dataset"], num_ng=4
      )
      test_loader = data.DataLoader(
          test_dataset,
          batch_size=batch_size,
          shuffle=False,
          num_workers=0,
      )
      return test_loader
  
file_path: BigDL/python/orca/tutorial/NCF/pytorch_train_dataloader.py
imports: import torch.nn
  import torch.optim
  import torch.utils.data
  from pytorch_dataset import load_dataset, process_users_items, get_input_dims
  from pytorch_model import NCF
  from utils import *
  from bigdl.orca.learn.pytorch import Estimator
  from bigdl.orca.learn.metrics import Accuracy, Precision, Recall
label_desc: Use image node_id 2 for calling a global function with example usage: test_loader_func(config, batch_size) and returns: test_loader