code: def test_repr(self):
      class StubTransform:
          def __call__(self, tensor):
              return tensor
  
          def __repr__(self):
              return "StubTransform()"
  
      preprocessor = TorchVisionPreprocessor(
          columns=["spam"], transform=StubTransform()
      )
      assert repr(preprocessor) == (
          "TorchVisionPreprocessor(columns=['spam'], "
          "output_columns=['spam'], transform=StubTransform())"
      )
  
file_path: ray/python/ray/data/tests/preprocessors/test_torch.py
imports: import numpy
  import pytest
  import torch
  from torchvision import transforms
  import ray
  from ray.data.preprocessors import TorchVisionPreprocessor
label_desc: Use image node_id 1 for calling the TestTorchVisionPreprocessor obj's underlying member method code with example usage: obj.test_repr() and returns: tensor, str