Type is unsupported, or the types of the items don‘t match field type in CollectionDef.

用tensorflow进行训练时遇到以下问题：

WARNING:tensorflow:Issue encountered when serializing update_ops.
Type is unsupported, or the types of the items don't match field type in CollectionDef. Note this is a warning and probably safe to ignore.
'list' object has no attribute 'name'

回答：https://github.com/tflearn/tflearn/issues/190

“ This warning shouldn't impact your training, this is just linked with variable serialization when saving the model, I will check what is wrong there.
In general, LSTM performs better than simpleRNN as they can 'remember' information longer, that can explain the difference in accuracy you noticed.”

翻译：

“这个警告不影响训练，仅仅与变量存储时的变量序列化有关。我将会检查哪里出错了。

一般，LSTM比简单的RNN效果要好，因为它们可以记忆更久的信息，这可以解释你注意到的准确率的差异”