code: def valid_dataloader_creator(config):
      import torch
      from torch.utils.data import DataLoader
  
      RandomDataset = gen_RandomDataset()
      return DataLoader(
          RandomDataset(size=400),
          batch_size=config["batch_size"],
          shuffle=True,
      )
  
imports: from bigdl.chronos.utils import LazyImport
  import numpy
  from unittest import TestCase
  import pytest
  import tempfile
  from ...None import op_torch, op_tf2, op_distributed, op_inference
label_desc: Use image node_id 4 for calling a global function with example usage: valid_dataloader_creator(config) and returns: DataLoader