38a23b6a16a60808fc7c9da4619568aadb78f151,models/COCO.res50.384x288.CPN/network.py,Network,make_data,#Network#,76

Before Change

                        [batch_data[j][i] for j in range(len(batch_data))]))
                yield ret

        if not cfg.dpflow_enable:
            return dataiter(train_data)
        else:
            from tfflat.data_provider import DataFromList, MultiProcessMapDataZMQ, BatchData
            dp = MultiProcessMapDataZMQ( DataFromList(train_data), 10, Preprocessing )
            dp = BatchData(dp, cfg.batch_size // cfg.nr_aug)
            dp.reset_state()
            dataiter = dp.get_data()
            return dataiter

    def make_network(self, is_train):
        if is_train:

After Change

        train_data, _ = d.load_data(cfg.min_kps)

        from tfflat.data_provider import DataFromList, MultiProcessMapDataZMQ, BatchData, MapData
        dp = DataFromList(train_data)
        if cfg.dpflow_enable:
            dp = MultiProcessMapDataZMQ(dp, cfg.nr_dpflows, Preprocessing)
        else:
            dp = MapData(dp, Preprocessing)
        dp = BatchData(dp, cfg.batch_size // cfg.nr_aug)
        dp.reset_state()
        dataiter = dp.get_data()

        return dataiter

    def make_network(self, is_train):
        if is_train:

Instances