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验证码识别的准确率变量

为什么是变量acc_rate>0.99而不是acc>0.99,acc_rate初始化为0.95，后面每次训练acc大于设定acc_rate的时候acc_rate+0.01，为什么要这么做呢？

ModuleNotFoundError: No module named 'avatarDcgan'

直接克隆的你的tensorflow_tutorial整个项目，python3.8 确认各类运行库已安装好，启动avatar_train.py,直接给个提示
Traceback (most recent call last):
File "G:\Doc\Programing\tensorflow_tutorial-master\avatarDcgan\avatar_train.py", line 1, in
from avatarDcgan.avatar_model import AvatarModel

我确认avatar_model.py是在avatarDcgan文件夹下，且avatar_model.py内有class AvatarModel:
事实上我根本没有改动你的文件的任何东西

运行识别验证码时报错 

$ py captcha_cnn.py 
Traceback (most recent call last):
  File "captcha_cnn.py", line 32, in <module>
    pre_text = captcha2text([image])
  File "captcha_cnn.py", line 21, in captcha2text
    saver.restore(sess, tf.train.latest_checkpoint('.'))
  File "/Users/fizz/venv/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1751, in restore
    raise ValueError("Can't load save_path when it is None.")
ValueError: Can't load save_path when it is None.

gen()运行出错

ValueError: Variable generator/dense/kernel already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at:

File "", line 38, in generator_graph
layer = tf.layers.dense(fake_imgs, units_size)
File "", line 102, in train
gen_logits, gen_outputs = self.generator_graph(fake_imgs, self.units_size, self.img_size)
File "", line 176, in
mnist.train()

skipThoughtVec-->gen.py

你好，请问这个是什么原因造成的呢？谢谢！！
断点调试这里时：encode_x = [[model.story.word_to_int[c] for c in '掠夺']]

报错：KeyError: '\xe5'

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