code: def test_channel_interpolate(inceptionv1):
      # TODO: should channel_interpolate fail early if batch is available?
      objective = objectives.channel_interpolate(
          "mixed4a_pre_relu", 0, "mixed4a_pre_relu", 42
      )
      assert_gradient_ascent(objective, inceptionv1, batch=5)
  
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 14 for calling a global function with example usage: test_channel_interpolate(inceptionv1) without return types