code: def test_remove_any_hooks_before_registering(
      mocker, conv_layer, model
  ):
      mocker.spy(conv_layer, "register_forward_hook")
      mocker.spy(conv_layer, "register_backward_hook")
  
      another_conv_layer = model[10]
      mocker.spy(another_conv_layer, "register_forward_hook")
      mocker.spy(another_conv_layer, "register_backward_hook")
  
      g_ascent = GradientAscent(model)
  
      # Optimize for the first conv layer
  
      g_ascent.optimize(conv_layer, 0, num_iter=2)
  
      # Optimize for another
  
      g_ascent.optimize(another_conv_layer, 1, num_iter=2)
  
      # Backward hook is registered twice, as we always retrieve
      # gradients from it, but forward hook is registered only once
  
      conv_layer.register_forward_hook.assert_called_once()
      assert conv_layer.register_backward_hook.call_count == 2
  
      # Instead forward hook is registered on the target layer
  
      another_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 16 for calling a global function with example usage: test_remove_any_hooks_before_registering(mocker, conv_layer, model) without return types