68f81a02c0bef03ba40959580b2415750d2e7f87,autokeras/net_transformer.py,,to_wider_graph,#Any#,8

Before Change

    if len(weighted_layer_ids) <= 1:
        target_id = weighted_layer_ids[0]
    else:
        target_id = weighted_layer_ids[randint(0, len(weighted_layer_ids) - 1)]

    if is_layer(graph.layer_list[target_id], "Conv"):
        n_add = graph.layer_list[target_id].filters
    else:

After Change

    n_wider_layer = randint(1, len(weighted_layer_ids))
    wider_layers = sample(weighted_layer_ids, n_wider_layer)

    for layer_id in wider_layers:
        layer = graph.layer_list[layer_id]
        if is_layer(layer, "Conv"):
            n_add = layer.filters
        else:
            n_add = layer.units

        graph.to_wider_model(layer_id, n_add)
    return graph


def to_skip_connection_graph(graph):

Instances