code: def test_keras_model(dtype):
      set_random_seed()
      frn = FilterResponseNormalization(
          beta_initializer="ones", gamma_initializer="ones", dtype=dtype
      )
      random_inputs = np.random.rand(10, 32, 32, 3).astype(dtype)
      random_labels = np.random.randint(2, size=(10,)).astype(dtype)
      input_layer = tf.keras.layers.Input(shape=(32, 32, 3))
      x = frn(input_layer)
      x = tf.keras.layers.Flatten()(x)
      out = tf.keras.layers.Dense(1, activation="sigmoid")(x)
      model = tf.keras.models.Model(input_layer, out)
      model.compile(loss="binary_crossentropy", optimizer="sgd")
      model.fit(random_inputs, random_labels, epochs=2)
  
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 28 for calling a global function with example usage: test_keras_model(dtype) without return types