code: def setUp(self) -> None:
      self.data_size = 256
      self.inps = torch.randn(self.data_size, 5)
      self.tgts = torch.randn(
          self.data_size,
      )
  
      self.dataset = TensorDataset(self.inps, self.tgts)
  
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 1 for calling the BatchMemoryManagerTest obj's underlying member method code with example usage: obj.setUp() without return types