old_contents: from __future__ import absolute_import, division, print_function
  
  import pytest
  
  import tensorflow as tf
  from lucid.modelzoo.vision_models import InceptionV1
  from lucid.optvis import objectives, param, render, transform
  
  
  model = InceptionV1()
  model.load_graphdef()
  
  
  @pytest.mark.parametrize("decorrelate", [True, False])
  @pytest.mark.parametrize("fft", [True, False])
  def test_integration(decorrelate, fft):
    obj = objectives.neuron("mixed3a_pre_relu", 0)
    param_f = lambda: param.image(16, decorrelate=decorrelate, fft=fft)
    rendering = render.render_vis(model, 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(model, objective_f, param_f, verbose=False, thresholds=(0,64), use_fixed_seed=True)
    start_image, end_image = rendering
  
    assert (start_image != end_image).any()
  
new_contents: from __future__ import absolute_import, division, print_function
  
  import pytest
  
  import tensorflow as tf
  from lucid.modelzoo.vision_models import InceptionV1
  from lucid.optvis import objectives, param, render, transform
  
  
  @pytest.fixture
  def inceptionv1():
    model = InceptionV1()
    model.load_graphdef()
    return model
  
  @pytest.mark.parametrize("decorrelate", [True, False])
  @pytest.mark.parametrize("fft", [True, False])
  def test_integration(decorrelate, fft, 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()
  
subject: Move model init into pytest fixture to avoid loading model and downloading graph just by importing the test module