code: def slow_test_image_gaussian_blur():
      for dev in ["cpu", "gpu"]:
          for sigma in [1.0, [1.0, 2.0]]:
              for window_size in [3, 5, [7, 5], [5, 9], None]:
                  if sigma is None and window_size is None:
                      continue
                  yield check_gaussian_blur, 10, sigma, window_size, dev
          # OpenCv uses fixed values for small windows that are different that Gaussian function
          for window_size in [15, [17, 31]]:
              yield check_gaussian_blur, 10, None, window_size, dev
  
imports: from nvidia.dali.pipeline import Pipeline, pipeline_def
  import nvidia.dali.types
  import nvidia.dali.fn
  import numpy
  import cv2
  from scipy.ndimage import convolve1d
  import os
  from nose_utils import assert_raises, raises
  from nose.plugins.attrib import attr
  from sequences_test_utils import video_suite_helper, ArgCb
  from test_utils import get_dali_extra_path, check_batch, compare_pipelines, RandomlyShapedDataIterator, dali_type
label_desc: Use image node_id 9 for calling a global function with example usage: slow_test_image_gaussian_blur() without return types