code: def test_tensor_neuron(inceptionv1):
      mixed_4a_depth = 508
      random_direction = np.random.random([1, 3, 3, mixed_4a_depth])
      objective = objectives.tensor_direction(
          "mixed4a_pre_relu", random_direction
      )
      assert_gradient_ascent(objective, inceptionv1)
  
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 8 for calling a global function with example usage: test_tensor_neuron(inceptionv1) without return types