with tf.compat.v1.Session() as sess:
    model = Model(reversed_dict,article_max_len,summary_max_len,args)
    sess.run(tf.compat.v1.global_variables_initializer())
    saver = tf.compat.v1.train.Saver(tf.compat.v1.global_variables())

我收到此错误：

---------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-19-42e9e3d94e79> in <module>
     37     model = Model(reversed_dict,args)
     38     sess.run(tf.compat.v1.global_variables_initializer())
---> 39     saver = tf.compat.v1.train.Saver(tf.compat.v1.global_variables())

ValueError: No variables to save

我认为通过初始化全局变量创建了“要保存的变量”？从tf1到tf2.0有什么中断吗？

背景：这是我正在开发的2.0版的tensorflow 1.0代码