code: def setUp_data(self):
      self.ds = FakeData(
          size=self.DATA_SIZE,
          image_size=(3, 28, 28),
          num_classes=10,
          transform=transforms.Compose(
              [
                  transforms.ToTensor(),
                  transforms.Normalize(
                      mean=[0.485, 0.456, 0.406],
                      std=[0.229, 0.224, 0.225],
                  ),
              ]
          ),
      )
      self.dl = DataLoader(self.ds, batch_size=self.DATA_SIZE)
  
imports: import unittest
  import torch
  import torch.nn
  import torch.nn.functional
  from opacus.grad_sample import GradSampleModule
  from opacus.grad_sample.gsm_exp_weights import GradSampleModuleExpandedWeights
  from opacus.grad_sample.linear import compute_linear_grad_sample
  from opacus.grad_sample.utils import register_grad_sampler
  from torch.testing import assert_close
  from torch.utils.data import DataLoader
  from torchvision import transforms
  from torchvision.datasets import FakeData
  from torchvision.models import mobilenet_v3_small
label_desc: Use image node_id 2 for calling the GradSampleModuleTest obj's underlying member method code with example usage: obj.setUp_data() without return types