code: def _check_zero_flow_correctness(shape, image_type, flow_type):
      """Assert using zero flows doesn't change the input image."""
      rand_image, rand_flows = _get_random_image_and_flows(
          shape, image_type, flow_type
      )
      rand_flows *= 0
  
      interp = dense_image_warp(
          image=tf.convert_to_tensor(rand_image),
          flow=tf.convert_to_tensor(rand_flows),
      )
  
      np.testing.assert_allclose(
          rand_image, interp, rtol=1e-6, atol=1e-6
      )
  
file_path: addons/tensorflow_addons/image/tests/dense_image_warp_test.py
imports: import pytest
  import math
  import numpy
  import tensorflow
  from tensorflow_addons.image import dense_image_warp
  from tensorflow_addons.image import interpolate_bilinear
label_desc: Use image node_id 5 for calling a global function with example usage: _check_zero_flow_correctness(shape, image_type, flow_type) without return types