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Hello,I found a performance issue in the definition of eval
,
model.py,
self.sess = tf.Session() was repeatedly called in for idx in range(data_num): and was not closed.
I think it will increase the efficiency and avoid out of memory if you close this session after using it.
The same issues also exist in self.sess = tf.Session()
Here are two files to support this issue,support1 and support2
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
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