code: def test_torchvision_encode_decode(self) -> None:
      original_object = (
          PyTorchCNNTorchvisionBenchmarkProblem.from_dataset_name(
              name="MNIST", num_trials=50
          )
      )
  
      json_object = object_to_json(
          original_object,
      )
      converted_object = object_from_json(
          json_object,
      )
  
      self.assertEqual(original_object, converted_object)
  
imports: from ax.benchmark.problems.hpo.torchvision import PyTorchCNNTorchvisionBenchmarkProblem
  from ax.storage.json_store.decoder import object_from_json
  from ax.storage.json_store.encoder import object_to_json
  from ax.utils.common.testutils import TestCase
label_desc: Use image node_id 1 for calling the TestProblems obj's underlying member method code with example usage: obj.test_torchvision_encode_decode() without return types