code: def test_integration(decorrelate, fft):
      inceptionv1 = InceptionV1()
      obj = objectives.neuron("mixed3a_pre_relu", 0)
      param_f = lambda: param.image(
          16, decorrelate=decorrelate, fft=fft
      )
      rendering = render.render_vis(
          inceptionv1,
          obj,
          param_f=param_f,
          thresholds=(1, 2),
          verbose=False,
          transforms=[],
      )
      start_image = rendering[0]
      end_image = rendering[-1]
      objective_f = objectives.neuron("mixed3a", 177)
      param_f = lambda: param.image(
          64, decorrelate=decorrelate, fft=fft
      )
      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 1 for calling a global function with example usage: test_integration(decorrelate, fft) without return types