code: def test_visualize_one_filter(conv_layer, g_ascent):
      output = g_ascent.visualize(conv_layer, 0, 2, return_output=True)
  
      assert output[-1].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 17 for calling a global function with example usage: test_visualize_one_filter(conv_layer, g_ascent) without return types