code: def test_register_forward_hook_to_target_layer(
      mocker, conv_layer, model
  ):
      mocker.spy(conv_layer, "register_forward_hook")
  
      g_ascent = GradientAscent(model)
      g_ascent.optimize(conv_layer, 0, num_iter=2)
  
      conv_layer.register_forward_hook.assert_called_once()
  
imports: import inspect
  import pytest
  from os import path
  import numpy
  import torchvision.models
  from flashtorch.activmax import GradientAscent
  from flashtorch.utils import apply_transforms
label_desc: Use image node_id 14 for calling a global function with example usage: test_register_forward_hook_to_target_layer(mocker, conv_layer, model) without return types