code: def _init_training(self, dl_generator=None):
      dl = DataLoader(
          TensorDataset(self.data),
          batch_size=8,
          shuffle=True,
          generator=dl_generator,
      )
  
      model = nn.Linear(32, 16)
      torch.nn.init.ones_(model.weight)
      torch.nn.init.zeros_(model.bias)
  
      optim = torch.optim.SGD(model.parameters(), lr=0.1)
  
      return model, optim, dl
  
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 2 for calling the PrivacyEngineSecureModeTest obj's underlying member method code with example usage: obj._init_training(dl_generator) and returns: model,  optim,  dl