零基础实践深度学习 的AlexNet进行眼疾识别，查看数据形状部分，代码是否前后不一致？

[flying-forever]

文件位置：junior_class/chapeter-3-Computer_Vision/notebook/3-2-CV-Image_Classification.ipynb
前面定义数据读取器时，训练集和验证集的读取器是分开定义的

# 训练集读取器
def data_loader(datadir, batch_size=10, mode = 'train'):
# 验证机读取器
def valid_data_loader(datadir, csvfile, batch_size=10, mode='valid'):

然而后面查看数据形状的部分代码中，却都调用data_loader而只是传不同的mode参数

# 查看数据形状
DATADIR = '/home/aistudio/work/palm/PALM-Training400/PALM-Training400'
train_loader = data_loader(DATADIR, 
                           batch_size=10, mode='train')
data_reader = train_loader()
data = next(data_reader)
data[0].shape, data[1].shape

eval_loader = data_loader(DATADIR, 
                           batch_size=10, mode='eval')
data_reader = eval_loader()
data = next(data_reader)
data[0].shape, data[1].shape