code: def test_simple_target_missing_error(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.zeros((1, 3))
      with self.assertRaises(AssertionError):
          attr = IntegratedGradients(net)
          attr.attribute(inp)
  
imports: from typing import Any, Callable, cast, Dict, Optional, Tuple, Type
  import torch
  from captum._utils.common import _format_additional_forward_args
  from captum.attr._core.feature_permutation import FeaturePermutation
  from captum.attr._core.integrated_gradients import IntegratedGradients
  from captum.attr._core.lime import Lime
  from captum.attr._core.noise_tunnel import NoiseTunnel
  from captum.attr._utils.attribution import Attribution, InternalAttribution
  from tests.attr.helpers.gen_test_utils import gen_test_name, get_target_layer, parse_test_config, should_create_generated_test
  from tests.attr.helpers.test_config import config
  from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest, deep_copy_args
  from tests.helpers.basic_models import BasicModel_MultiLayer
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 1 for calling the TestTargets obj's underlying member method code with example usage: obj.test_simple_target_missing_error() without return types