effd83fd33c6719d09634cb6a056e9c9054fc492,autokeras/net_transformer.py,,to_deeper_graph,#Any#,70

Before Change

    Returns:
        The deeper model
    
    graph = Graph(model)
    weighted_layers = list(filter(lambda x: isinstance(x, tuple(WEIGHTED_LAYER_FUNC_LIST)), model.layers))[:-1]
    target = weighted_layers[randint(0, len(weighted_layers) - 1)]
    if is_conv_layer(target):
        graph.to_conv_deeper_model(target, randint(1, 2) * 2 + 1)

After Change

    weighted_layers = list(filter(lambda x: isinstance(x, tuple(WEIGHTED_LAYER_FUNC_LIST)), graph.layer_list))[:-1]
    target = weighted_layers[randint(0, len(weighted_layers) - 1)]
    if is_conv_layer(target):
        graph.to_conv_deeper_model(graph.layer_to_id[target], randint(1, 2) * 2 + 1)
    else:
        graph.to_dense_deeper_model(graph.layer_to_id[target])
    return deepcopy(graph)

Instances