code: def test_integration_any_channels():
      inceptionv1 = InceptionV1()
      objectives_f = [
          objectives.deepdream("mixed4a_pre_relu"),
          objectives.channel("mixed4a_pre_relu", 360),
          objectives.neuron("mixed3a", 177),
      ]
      params_f = [
          lambda: param.grayscale_image_rgb(128),
          lambda: arbitrary_channels_to_rgb(128, channels=10),
      ]
      for objective_f in objectives_f:
          for param_f in params_f:
              rendering = render.render_vis(
                  inceptionv1,
                  objective_f,
                  param_f,
                  verbose=False,
                  thresholds=(0, 64),
                  use_fixed_seed=True,
              )
              start_image, end_image = rendering
  
              assert (start_image != end_image).any()
  
file_path: lucid/tests/optvis/test_integration.py
imports: from __future__ import absolute_import, division, print_function
  import pytest
  import tensorflow
  from lucid.optvis import objectives, param, render, transform
  from lucid.modelzoo.vision_models import InceptionV1
label_desc: Use image node_id 3 for calling a global function with example usage: test_integration_any_channels() without return types