074d16ac217b9cddc04d093d019c61e393522eb5,autokeras/net_transformer.py,,transform,#Any#,110

Before Change

            models.append(Sequential(copy_conv_model(conv_model), to_deeper_dense_model(dense_model, index)))
            models.append(Sequential(copy_conv_model(conv_model), to_wider_dense_model(dense_model, index)))

    for layer in conv_model.layers:
        // search conv variation
        if is_conv_layer(layer):
            models.append(Sequential(to_deeper_conv_model(conv_model, layer), dense_model))
            models.append(Sequential(to_wider_conv_model(conv_model, layer), dense_model))
    models.append(Sequential(to_skip_connection_model(conv_model), dense_model))

    return models

After Change

    for index, layer in enumerate(model.layers):
        if isinstance(layer, Dense):
            models.append(to_deeper_dense_model(model, layer))
            models.append(to_wider_dense_model(model, layer))
        elif is_conv_layer(layer):
            models.append(to_deeper_conv_model(model, layer))

Instances