code: def test_select_target_2d(self) -> None:
      output_tensor = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
      assertTensorAlmostEqual(
          self, _select_targets(output_tensor, 1), [2, 5, 8]
      )
      assertTensorAlmostEqual(
          self,
          _select_targets(output_tensor, torch.tensor(0)),
          [1, 4, 7],
      )
      assertTensorAlmostEqual(
          self,
          _select_targets(output_tensor, torch.tensor([1, 2, 0])),
          [2, 6, 7],
      )
      assertTensorAlmostEqual(
          self, _select_targets(output_tensor, [1, 2, 0]), [2, 6, 7]
      )
  
      # Verify error is raised if too many dimensions are provided.
      with self.assertRaises(AssertionError):
          _select_targets(output_tensor, (1, 2))
  
imports: from typing import cast, List, Tuple
  import torch
  from captum._utils.common import _format_feature_mask, _get_max_feature_index, _parse_version, _reduce_list, _select_targets, _sort_key_list, safe_div
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
label_desc: Use image node_id 7 for calling the Test obj's underlying member method code with example usage: obj.test_select_target_2d() without return types