code: def test_data_seed_consistency(self) -> None:
      _, _, dl1 = self._init_dp_training(
          secure_mode=False, dl_seed=1337, poisson_sampling=False
      )
      data1 = _read_all(dl1)
  
      _, _, dl1 = self._init_dp_training(
          secure_mode=False, dl_seed=1337, poisson_sampling=False
      )
      data2 = _read_all(dl1)
  
      self.assertTrue(torch.allclose(data1, data2))
  
imports: import unittest
  from typing import Optional
  import torch
  import torch.nn
  from opacus import PrivacyEngine
  from opacus.data_loader import DPDataLoader, switch_generator
  from opacus.grad_sample import GradSampleModule
  from opacus.optimizers import DPOptimizer
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 12 for calling the PrivacyEngineSecureModeTest obj's underlying member method code with example usage: obj.test_data_seed_consistency() without return types