code: def test_symmetric_padding_with_3x3_filter_mean(image_shape):
      expected_plane = tf.constant(
          [
              [2.3333333, 3.0, 3.6666667],
              [4.3333335, 5.0, 5.6666665],
              [6.3333335, 7.0, 7.6666665],
          ]
      )
  
      verify_values(
          mean_filter2d,
          image_shape=image_shape,
          filter_shape=(3, 3),
          padding="SYMMETRIC",
          constant_values=0,
          expected_plane=expected_plane,
      )
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.image import mean_filter2d
  from tensorflow_addons.image import median_filter2d
  from tensorflow_addons.image import gaussian_filter2d
  from tensorflow_addons.utils import test_utils
  from scipy.ndimage.filters import gaussian_filter
label_desc: Use image node_id 12 for calling a global function with example usage: test_symmetric_padding_with_3x3_filter_mean(image_shape) without return types