code: def create_demo_dataloader():
      dataset = TensorDataset(
          torch.randn(64, 5), torch.randint(0, 2, (64,))
      )
      dataloader = DataLoader(dataset, batch_size=8)
      return dataloader
  
file_path: opacus/conftest.py
imports: import pytest
  import torch
  from opacus import PrivacyEngine
  from torch import nn
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 1 for calling a global function with example usage: create_demo_dataloader() and returns: dataloader