code: def test_create_not_torch_model(self):
      def model_creator(config):
          return torch.Tensor(3, 5)
  
      modelBuilder = PytorchModelBuilder(
          model_creator=model_creator,
          optimizer_creator=optimizer_creator,
          loss_creator=loss_creator,
      )
      with pytest.raises(RuntimeError):
          model = modelBuilder.build(
              config={
                  "lr": 1e-2,
                  "batch_size": 32,
              }
          )
  
imports: from unittest import TestCase
  from bigdl.orca.automl.model.base_pytorch_model import PytorchModelBuilder
  from torch.utils.data import Dataset, DataLoader
  import pytest
  import numpy
  import torch
  import torch.nn
label_desc: Use image node_id 4 for calling the TestBasePytorchModel obj's underlying member method code with example usage: obj.test_create_not_torch_model() and returns: torch