code: def test_basic_infidelity_single(self) -> None:
      input1 = torch.tensor([3.0])
      input2 = torch.tensor([1.0])
      inputs = (input1, input2)
      expected = torch.zeros(1)
  
      self.basic_model_assert(BasicModel2(), inputs, expected)
  
imports: import typing
  from typing import Any, Callable, cast, List, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType, TargetType, TensorOrTupleOfTensorsGeneric
  from captum.attr import Attribution, DeepLift, FeatureAblation, IntegratedGradients, Saliency
  from captum.metrics import infidelity, infidelity_perturb_func_decorator
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel2, BasicModel4_MultiArgs, BasicModel_ConvNet_One_Conv, BasicModel_MultiLayer
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 1 for calling the Test obj's underlying member method code with example usage: obj.test_basic_infidelity_single() without return types