code: def test_from_list_of_ndarray_warning(self, device):
      warning_msg = r"Creating a tensor from a list of numpy.ndarrays is extremely slow"
      with self.assertWarnsOnceRegex(UserWarning, warning_msg):
          torch.tensor([np.array([0]), np.array([1])], device=device)
  
imports: import torch
  import numpy
  from itertools import product
  from torch.testing._internal.common_utils import skipIfTorchDynamo, TestCase, run_tests
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes, skipMeta
  from torch.testing._internal.common_dtype import all_types_and_complex_and
label_desc: Use image node_id 7 for calling the TestNumPyInterop obj's underlying member method code with example usage: obj.test_from_list_of_ndarray_warning(device) without return types