58178d9f5e942cca7f7c45937bfb78f969842590,models/COCO.res101.384x288.CPN/network.py,Network,make_data,#Network#,76

Before Change

                dataiter = receiver(cfg.proj_name)
                for data in dataiter:
                    yield data
            return mpdataiter()

    def make_network(self, is_train):
        if is_train:

After Change

            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:

Instances