code: def test_equivalent_to_one_batch(self) -> None:
      torch.manual_seed(1337)
      model, optimizer, data_loader = self._init_training()
  
      privacy_engine = PrivacyEngine()
      model, optimizer, data_loader = privacy_engine.make_private(
          module=model,
          optimizer=optimizer,
          data_loader=data_loader,
          noise_multiplier=1.0,
          max_grad_norm=1.0,
          poisson_sampling=False,
          grad_sample_mode=self.GSM_MODE,
      )
  
      with BatchMemoryManager(
          data_loader=data_loader,
          max_physical_batch_size=3,
          optimizer=optimizer,
      ) as data_loader:
          for x, y in data_loader:
              out = model(x)
              loss = (y - out).mean()
  
              loss.backward()
              optimizer.step()
              optimizer.zero_grad()
  
      memory_manager_weights = model._module.fc.weight.detach()
  
      torch.manual_seed(1337)
      model, optimizer, data_loader = self._init_training()
  
      privacy_engine = PrivacyEngine()
      model, optimizer, data_loader = privacy_engine.make_private(
          module=model,
          optimizer=optimizer,
          data_loader=data_loader,
          noise_multiplier=1.0,
          max_grad_norm=1.0,
          poisson_sampling=False,
          grad_sample_mode=self.GSM_MODE,
      )
  
      for x, y in data_loader:
          out = model(x)
          loss = (y - out).mean()
  
          loss.backward()
          optimizer.step()
          optimizer.zero_grad()
  
      vanilla_weights = model._module.fc.weight.detach()
  
      self.assertTrue(
          torch.allclose(memory_manager_weights, vanilla_weights)
      )
  
imports: import unittest
  import torch
  import torch.nn
  from hypothesis import HealthCheck, given, settings
  from hypothesis import strategies
  from opacus import PrivacyEngine
  from opacus.utils.batch_memory_manager import BatchMemoryManager
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 5 for calling the BatchMemoryManagerTest obj's underlying member method code with example usage: obj.test_equivalent_to_one_batch() without return types