code: def test_filter_response_normalization_save(tmpdir):
      input_layer = tf.keras.layers.Input(shape=(32, 32, 3))
      frn = FilterResponseNormalization()(input_layer)
      model = tf.keras.Model(input_layer, frn)
      filepath = str(tmpdir / "test.h5")
      model.save(filepath, save_format="h5")
      filepath = str(tmpdir / "test")
      model.save(filepath, save_format="tf")
  
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 31 for calling a global function with example usage: test_filter_response_normalization_save(tmpdir) without return types