code: def test_optimize(g_ascent, conv_layer):
      output = g_ascent.optimize(conv_layer, 0, num_iter=2)
  
      assert len(output) == 2  # num_iter
      assert output[0].shape == (
          1,
          3,
          g_ascent.img_size,
          g_ascent.img_size,
      )
  
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 5 for calling a global function with example usage: test_optimize(g_ascent, conv_layer) without return types