想请教一下各位，这该怎么修改。

Question

问题遇到的现象和发生背景

用百度飞桨做一个手写数字的神经网络，这个问题是怎么回事压。

用代码块功能插入代码，请勿粘贴截图

for batch_id, data in enumerate(train_reader()):                         #遍历train_reader
        train_cost, train_acc = exe.run(program=fluid.default_main_program(),#运行主程序
                                        feed=feeder.feed(data),              #给模型喂入数据
                                        fetch_list=[avg_cost, acc])          #fetch 误差、准确率  
        
        all_train_iter=all_train_iter+BATCH_SIZE
        all_train_iters.append(all_train_iter)
        
        all_train_costs.append(train_cost[0])
        all_train_accs.append(train_acc[0])
        
        # 每200个batch打印一次信息  误差、准确率
        if batch_id % 200 == 0:
            print('Pass:%d, Batch:%d, Cost:%0.5f, Accuracy:%0.5f' %
                  (pass_id, batch_id, train_cost[0], train_acc[0]))

    # 进行测试
    test_accs = []
    test_costs = []

运行结果及报错内容

TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_270/293710678.py in <module>
----> 1 for  data in enumerate(train_reader()):
      2     1
      3 
      4 

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/batch.py in batch_reader()
     56         r = reader()
     57         b = []
---> 58         for instance in r:
     59             b.append(instance)
     60             if len(b) == batch_size:

/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/reader/decorator.py in data_reader()
    165     def data_reader():
    166         buf = []
--> 167         for e in reader():
    168             buf.append(e)
    169             if len(buf) >= buf_size:

/tmp/ipykernel_270/4190344081.py in reader()
     60 def readerGenerator(data, label):
     61     def reader():
---> 62         for i in  range(len(data)):
     63             yield data[i], int(label[i])
     64     return reader

TypeError: object of type 'function' has no len()

我的解答思路和尝试过的方法

我想不明白。。求指教

我想要达到的结果

Answer 1

检查一下train_reader()，看这里的报错，好像并没有返回数据的迭代器，而是返回了一个函数