code: def test_unsupported_dim(self, device, backend):
      SparseSemiStructuredTensor._FORCE_CUTLASS = backend == "cutlass"
      A = torch.rand(128, 128, 128, device=device, dtype=torch.float16)
  
      with self.assertRaisesRegex(
          RuntimeError, "Error original_tensor.dim"
      ):
          A_sparse = to_sparse_semi_structured(A)
  
imports: import itertools
  import random
  import unittest
  import torch
  from torch import nn
  from torch.sparse.semi_structured import _DTYPE_TO_SEMI_STRUCTURED_SPARSE_CONFIG, SparseSemiStructuredTensor, to_sparse_semi_structured
  from torch.testing import make_tensor
  from torch.testing._internal.common_device_type import dtypes, instantiate_device_type_tests
  from torch.testing._internal.common_dtype import all_types_and_complex
  import torch._dynamo.test_case
  from torch.testing._internal.common_utils import parametrize, run_tests, subtest, TestCase, TEST_WITH_ROCM, IS_WINDOWS
  from torch.utils._triton import has_triton
label_desc: Use image node_id 15 for calling the TestSparseSemiStructured obj's underlying member method code with example usage: obj.test_unsupported_dim(device, backend) without return types