code: def test_input_diff(inceptionv1):
      random_image = np.random.random([1, 32, 32, 3])
      objective = objectives.input_diff(random_image)
      assert_gradient_ascent(-1 * objective, inceptionv1, batch=2)
  
imports: from __future__ import absolute_import, division, print_function
  import pytest
  import tensorflow
  import numpy
  from lucid.optvis import objectives, param, render, transform
  from lucid.modelzoo.vision_models import InceptionV1
label_desc: Use image node_id 18 for calling a global function with example usage: test_input_diff(inceptionv1) without return types