code: def test_simple_linear_gradient_activation(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.tensor([[0.0, 100.0, 0.0]])
      self._layer_activation_test_assert(
          net, net.linear1, inp, [[90.0, 101.0, 101.0, 101.0]]
      )
  
imports: import unittest
  from typing import Any, List, Tuple, Union
  import torch
  from captum._utils.typing import ModuleOrModuleList
  from captum.attr._core.layer.layer_activation import LayerActivation
  from captum.attr._core.layer.layer_gradient_x_activation import LayerGradientXActivation
  from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicEmbeddingModel, BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 3 for calling the Test obj's underlying member method code with example usage: obj.test_simple_linear_gradient_activation() without return types