code: def test_gaussian_blur():
      blur = T.GaussianBlur(3, (0.1, 3))
      input_t = np.ones((31, 31, 3), dtype=np.float32)
      input_t[15, 15] = 0
      blur_img = blur(tf.convert_to_tensor(input_t)).numpy()
      assert blur_img.shape == input_t.shape
      assert np.all(blur_img[15, 15] > 0)
  
imports: import math
  import numpy
  import pytest
  import tensorflow
  from doctr import transforms
  from doctr.transforms.functional import crop_detection, rotate_sample
label_desc: Use image node_id 17 for calling a global function with example usage: test_gaussian_blur() without return types