code: def test_dl_seed_with_noise(self) -> None:
      model1, optim1, dl1 = self._init_dp_training(
          secure_mode=False, dl_seed=96
      )
      _epoch(model1, optim1, dl1)
  
      model2, optim2, dl2 = self._init_dp_training(
          secure_mode=False, dl_seed=96
      )
      _epoch(model2, optim2, dl2)
  
      self.assertFalse(
          torch.allclose(model1._module.weight, model2._module.weight)
      )
  
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 8 for calling the PrivacyEngineSecureModeTest obj's underlying member method code with example usage: obj.test_dl_seed_with_noise() without return types