code: def test_save_file_h5(base_layer, input_shape):
      base_layer = base_layer()
      wn_conv = wrappers.WeightNormalization(base_layer)
      model = tf.keras.Sequential(layers=[wn_conv])
      model.build([None] + input_shape)
      with tempfile.TemporaryDirectory() as tmp_dir:
          model.save_weights(
              os.path.join(tmp_dir, "wrapper_test_model.h5")
          )
  
file_path: addons/tensorflow_addons/layers/tests/wrappers_test.py
imports: import os
  import tempfile
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers import wrappers
  from tensorflow_addons.utils import test_utils
label_desc: Use image node_id 11 for calling a global function with example usage: test_save_file_h5(base_layer, input_shape) without return types