code: def test_simple_multi_input_non_conv(self) -> None:
      net = BasicModel_MultiLayer(multi_input_module=True)
      inp = torch.tensor([[0.0, 6.0, 0.0]], requires_grad=True)
      self._grad_cam_test_assert(
          net, net.multi_relu, inp, ([[21.0]], [[21.0]])
      )
  
imports: import unittest
  from typing import Any, Tuple, Union
  import torch
  from captum._utils.typing import TensorLikeList
  from captum.attr._core.layer.grad_cam import LayerGradCam
  from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet_One_Conv, BasicModel_MultiLayer
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.test_simple_multi_input_non_conv() without return types