code: def test_TensorCallableToArrayCallable(self) -> None:
      def tensor_func(x: Tensor) -> Tensor:
          return np.exp(x)
  
      new_func = tensor_callable_to_array_callable(
          tensor_func=tensor_func, device=torch.device("cpu")
      )
      self.assertTrue(callable(new_func))
      self.assertIsInstance(new_func(np.array([1.0, 2.0])), np.ndarray)
  
file_path: Ax/ax/models/tests/test_torch_model_utils.py
imports: import numpy
  import torch
  from ax.exceptions.model import ModelError
  from ax.models.torch.utils import _generate_sobol_points, is_noiseless, normalize_indices, subset_model, tensor_callable_to_array_callable
  from ax.utils.common.testutils import TestCase
  from botorch.models import HeteroskedasticSingleTaskGP, ModelListGP, SingleTaskGP
  from torch import Tensor
label_desc: Use image node_id 5 for calling the TorchUtilsTest obj's underlying member method code with example usage: obj.test_TensorCallableToArrayCallable() and returns: np