code: def _get_random_image_and_flows(shape, image_type, flow_type):
      batch_size, height, width, num_channels = shape
      image_shape = [batch_size, height, width, num_channels]
      image = np.random.normal(size=image_shape)
      flow_shape = [batch_size, height, width, 2]
      flows = np.random.normal(size=flow_shape) * 3
      return image.astype(image_type), flows.astype(flow_type)
  
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 9 for calling a global function with example usage: _get_random_image_and_flows(shape, image_type, flow_type) and returns: image,  flows