b1bfd16945a658d02847209e46a2ba8d72b456e1,autokeras/hypermodel/hyper_block.py,DenseBlock,build,#DenseBlock#Any#Any#,40

Before Change

        input_node = layer_utils.format_inputs(inputs, self.name, num=1)[0]
        output_node = input_node
        output_node = Flatten().build(hp, output_node)
        active_category = hp.Choice(
            "activate_category",
            ["softmax", "relu", "tanh", "sigmoid"],
            default="relu")
        layer_stack = hp.Choice(
            "layer_stack",
            ["dense-bn-act", "dense-act", "act-bn-dense"],
            default="act-bn-dense")

After Change

            default="dense-bn-act")
        dropout_rate = hp.Choice("dropout_rate", [0, 0.25, 0.5], default=0.5)
        for i in range(hp.Choice("num_layers", [1, 2, 3], default=2)):
            units = hp.Choice(
                "units_{i}".format(i=i),
                [16, 32, 64, 128, 256, 512, 1024],
                default=32)
            if layer_stack == "dense-bn-act":
                output_node = tf.keras.layers.Dense(units)(output_node)
                output_node = tf.keras.layers.BatchNormalization()(output_node)
                output_node = tf.keras.layers.ReLU()(output_node)

Instances