Seach in google:   “tensorflow:Error encountered when serializing”

1. https://www.codetd.com/article/2304143

不加上这句的话，运行时会报如下警告。不过，运行结果都没啥问题…

WARNING:tensorflow:Error encountered when serializing global_step. Type is unsupported, or the types of the items don't match field type in CollectionDef. 'Tensor' object has no attribute 'to_proto'

2.  https://www.itread01.com/content/1545194888.html

PS:执行过程中可能会有warning:

‘list’ object has no attribute ‘name’
WARNING:tensorflow:Error encountered when serializing lstm_output_embeddings.
Type is unsupported, or the types of the items don’t match field type in CollectionDef.

应该不用担心，还是能够继续执行的，后面也不受影响

3. https://github.com/tflearn/tflearn/issues/190#issuecomment-231545279

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.

4 .http://www.linzehui.me/2018/08/12/%E7%A2%8E%E7%89%87%E7%9F%A5%E8%AF%86/%E5%A6%82%E4%BD%95%E5%B0%86ELMo%E8%AF%8D%E5%90%91%E9%87%8F%E7%94%A8%E4%BA%8E%E4%B8%AD%E6%96%87/

PS:运行过程中可能会有warning:

‘list’ object has no attribute ‘name’
WARNING:tensorflow:Error encountered when serializing lstm_output_embeddings.
Type is unsupported, or the types of the items don’t match field type in CollectionDef.

应该不用担心，还是能够继续运行的，后面也不受影响。

5. https://github.com/tensorflow/tensorflow/issues/9939

WARNING:tensorflow:Error encountered when serializing LAYER_NAME_UIDS.
Type is unsupported, or the types of the items don't match field type in CollectionDef.
'dict' object has no attribute 'name'

However, a metagraphdef does export and I am able to successfully use it to recreate the trained model. After playing around with simpler architectures, it looks like the problem comes from the average pooling I do at the end, which involves a call to tf.contrib.layers.avg_pool2d. For a trivial example that elicits this warning, please see the script at

https://gist.github.com/nryant/1f69cda71fd6a468fa5641855199f843