code: def test_simple_input_gradient_activation_no_grad(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.tensor([[0.0, 100.0, 0.0]], requires_grad=True)
      with torch.no_grad():
          self._layer_activation_test_assert(
              net, net.linear0, inp, [[0.0, 400.0, 0.0]]
          )
  
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 2 for calling the Test obj's underlying member method code with example usage: obj.test_simple_input_gradient_activation_no_grad() without return types