code: def test_subset_state_dict(self) -> None:
      m0 = SingleTaskGP(
          train_X=torch.rand(5, 2), train_Y=torch.rand(5, 1)
      )
      m1 = SingleTaskGP(
          train_X=torch.rand(5, 2), train_Y=torch.rand(5, 1)
      )
      model_list = ModelListGP(m0, m1)
      # pyre-ignore [6]: T168826187
      model_list_state_dict = checked_cast(
          OrderedDict, model_list.state_dict()
      )
      # Subset the model dict from model list and check that it is correct.
      m0_state_dict = model_list.models[0].state_dict()
      subsetted_m0_state_dict = subset_state_dict(
          state_dict=model_list_state_dict, submodel_index=0
      )
      self.assertEqual(
          m0_state_dict.keys(), subsetted_m0_state_dict.keys()
      )
      for k in m0_state_dict:
          self.assertTrue(
              torch.equal(m0_state_dict[k], subsetted_m0_state_dict[k])
          )
      # Check that it can be loaded on the model.
      m0.load_state_dict(subsetted_m0_state_dict)
  
imports: import warnings
  from typing import OrderedDict
  import numpy
  import torch
  from ax.core.search_space import SearchSpaceDigest
  from ax.exceptions.core import AxError, AxWarning, UnsupportedError
  from ax.models.torch.botorch_modular.utils import _get_shared_rows, _tensor_difference, check_metric_dataset_match, choose_botorch_acqf_class, choose_model_class, construct_acquisition_and_optimizer_options, convert_to_block_design, get_subset_datasets, subset_state_dict, use_model_list
  from ax.models.torch.utils import _to_inequality_constraints
  from ax.utils.common.constants import Keys
  from ax.utils.common.testutils import TestCase
  from ax.utils.common.typeutils import checked_cast, not_none
  from ax.utils.testing.torch_stubs import get_torch_test_data
  from botorch.acquisition import qLogNoisyExpectedImprovement
  from botorch.acquisition.multi_objective.logei import qLogNoisyExpectedHypervolumeImprovement
  from botorch.models.fully_bayesian import SaasFullyBayesianSingleTaskGP
  from botorch.models.gp_regression import SingleTaskGP
  from botorch.models.gp_regression_fidelity import SingleTaskMultiFidelityGP
  from botorch.models.gp_regression_mixed import MixedSingleTaskGP
  from botorch.models.model_list_gp_regression import ModelListGP
  from botorch.models.multitask import MultiTaskGP
  from botorch.utils.datasets import SupervisedDataset
label_desc: Use image node_id 15 for calling the BoTorchModelUtilsTest obj's underlying member method code with example usage: obj.test_subset_state_dict() without return types