code: def test_from_torch_dataset_with_transform(self):
      dataset_ = torchvision.datasets.FakeData(
          size=1, image_size=(3, 32, 32)
      )
      dataset = LightlyDataset.from_torch_dataset(
          dataset_, transform=torchvision.transforms.ToTensor()
      )
      self.assertIsNotNone(dataset.transform)
      self.assertIsNotNone(dataset.dataset.transform)
  
imports: import os
  import shutil
  import tempfile
  import unittest
  from typing import List, Tuple
  import numpy
  import torchvision
  from PIL.Image import Image
  from lightly.data import LightlyDataset
  from lightly.data._utils import check_images
label_desc: Use image node_id 10 for calling the TestLightlyDataset obj's underlying member method code with example usage: obj.test_from_torch_dataset_with_transform() without return types