a00b602f3572c1cb2a194bd6a8ffef19dd7164a2,main.py,,train,#,65

Before Change

        for file in train_chunk_files:
            print("Using %s" % file)
            train_dataset = DataSet.read(file)
            n.train(train_dataset)
            n.save_variables(save_file)
            if n.get_global_step() > last_save_checkpoint + checkpoint_freq:
                n.check_accuracy(test_dataset)
                last_save_checkpoint = n.get_global_step()

After Change

            print("Using %s" % file)
            with timer("load dataset"):
                train_dataset = DataSet.read(file)
            with timer("training"):
                n.train(train_dataset)
            with timer("save model"):
                n.save_variables(save_file)
            if n.get_global_step() > last_save_checkpoint + checkpoint_freq:
                with timer("test set evaluation"):

Instances