code: def test_visualize_specified_filters_from_one_layer(
      conv_layer, g_ascent
  ):
      filter_idxs = np.random.choice(range(64), size=5)
  
      output = g_ascent.visualize(
          conv_layer, filter_idxs, num_iter=2, return_output=True
      )
  
      assert len(output) == len(filter_idxs)
  
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 20 for calling a global function with example usage: test_visualize_specified_filters_from_one_layer(conv_layer, g_ascent) without return types