code: def train_dataloader_creator(config):
      train_set = LinearDataset(size=NUM_SAMPLES)
      train_loader = DataLoader(
          train_set, batch_size=64, shuffle=True, num_workers=2
      )
      return train_loader
  
imports: import pytest
  import unittest
  import os
  import tempfile
  import shutil
  import torch
  import torch.nn
  import torch.optim
  from torch.utils.data import DataLoader
  from mmcv.runner import EpochBasedRunner
  from mmcv.runner import DistEvalHook
  from mmcv.utils import get_logger
  from bigdl.orca.learn.pytorch import Estimator
label_desc: Use image node_id 3 for calling a global function with example usage: train_dataloader_creator(config) and returns: train_loader