code: def test_TorchModelFit(self) -> None:
      torch_model = TorchModel()
      torch_model.fit(
          datasets=[self.dataset],
          metric_names=["y"],
          search_space_digest=SearchSpaceDigest(
              feature_names=["x1"],
              bounds=[(0, 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 2 for calling the TorchModelTest obj's underlying member method code with example usage: obj.test_TorchModelFit() without return types