code: def test_TorchModelPredict(self) -> None:
      torch_model = TorchModel()
      with self.assertRaises(NotImplementedError):
          torch_model.predict(torch.zeros(1))
  
file_path: Ax/ax/models/tests/test_torch.py
imports: import torch
  from ax.core.search_space import SearchSpaceDigest
  from ax.models.torch_base import TorchModel, TorchOptConfig
  from ax.utils.common.testutils import TestCase
  from botorch.utils.datasets import SupervisedDataset
label_desc: Use image node_id 3 for calling the TorchModelTest obj's underlying member method code with example usage: obj.test_TorchModelPredict() without return types