code: def test_apply_normalization():
      input_shape = (1, 4)
      reshaped_inputs = tf.constant([[[2.0, 2.0], [3.0, 3.0]]])
      layer = GroupNormalization(
          groups=2, axis=1, scale=False, center=False
      )
      normalized_input = layer._apply_normalization(
          reshaped_inputs, input_shape
      )
      np.testing.assert_equal(
          normalized_input, np.array([[[0.0, 0.0], [0.0, 0.0]]])
      )
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers.normalizations import FilterResponseNormalization
  from tensorflow_addons.layers.normalizations import GroupNormalization
  from tensorflow_addons.layers.normalizations import InstanceNormalization
label_desc: Use image node_id 4 for calling a global function with example usage: test_apply_normalization() without return types