def METHOD_NAME():
    def conv2d_model(input_shape, kernel=(3, 3), filters=16):
        model = tf.keras.Sequential(
            [
                tf.keras.layers.Input(shape=input_shape[1:], batch_size=1),
                tf.keras.layers.Conv2D(filters, kernel),
            ]
        )
        return model
    run_sequential_model(conv2d_model, input_shape=(1, 32, 32, 3))