code: def test_attack_label_tuple(self) -> None:
      model = BasicModel()
      input = torch.tensor(
          [[[4.0, 2.0], [-1.0, -2.0]], [[3.0, -4.0], [10.0, 5.0]]],
          requires_grad=True,
      )
      labels = (0, 1)
      self._FGSM_assert(
          model,
          input,
          labels,
          0.1,
          [[[4.0, 2.0], [-1.0, -2.0]], [[3.0, -3.9], [10.0, 5.0]]],
      )
  
imports: from typing import Any, Callable, List, Optional, Tuple, Union
  import torch
  from captum._utils.typing import TensorLikeList, TensorOrTupleOfTensorsGeneric
  from captum.robust import FGSM
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel, BasicModel2, BasicModel_MultiLayer
  from torch import Tensor
  from torch.nn import CrossEntropyLoss
label_desc: Use image node_id 6 for calling the Test obj's underlying member method code with example usage: obj.test_attack_label_tuple() without return types