code: def setUp(self) -> None:
      self.dataset = SupervisedDataset(
          X=torch.zeros(1, 1),
          Y=torch.zeros(1, 1),
          Yvar=torch.ones(1, 1),
          feature_names=["x1"],
          outcome_names=["y"],
      )
      self.search_space_digest = SearchSpaceDigest(
          feature_names=[],
          bounds=[(0, 1)],
      )
      self.torch_opt_config = TorchOptConfig(
          objective_weights=torch.ones(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 1 for calling the TorchModelTest obj's underlying member method code with example usage: obj.setUp() without return types