code: def setUp(self) -> None:
      super().setUp()
      self.GRAD_SAMPLE_MODE = "functorch"
  
imports: import unittest
  from typing import Iterable, Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from opacus import PrivacyEngine
  from opacus.grad_sample.utils import get_gsm_class
  from opacus.utils.batch_memory_manager import BatchMemoryManager
  from torch.utils.data import DataLoader
  from torchvision import transforms
  from torchvision.datasets import FakeData
label_desc: Use image node_id 1 for calling the GradientAccumulationTestFunctorch obj's underlying member method code with example usage: obj.setUp() without return types