Training stops with 'NoneType' object has no attribute 'name'

[dakoller]

..any idea? or a hint, where I might get deeper information about it?

Kind regards,

Daniel

Training samples: 199
Validation samples: 23

Training Step: 899 | total loss: 0.23639
Training Step: 899 | total loss: 0.23639 acc: 0.9115 | val_loss: 0.29569 - val_| Momentum | epoch: 001 | loss: 0.23639 - acc: 0.9115 | val_loss: 0.29569 - val_acc: 0.8261 -- iter: 199/199

Training Step: 903 | total loss: 0.36168
Training Step: 903 | total loss: 0.36168 acc: 0.8505 | val_loss: 0.23084 - val_| Momentum | epoch: 002 | loss: 0.36168 - acc: 0.8505 | val_loss: 0.23084 - val_acc: 0.9565 -- iter: 199/199

Training Step: 907 | total loss: 0.34085
Training Step: 907 | total loss: 0.34085 acc: 0.8723 | val_loss: 0.11795 - val_| Momentum | epoch: 003 | loss: 0.34085 - acc: 0.8723 | val_loss: 0.11795 - val_acc: 0.9565 -- iter: 199/199

Training Step: 911 | total loss: 0.61323
Training Step: 911 | total loss: 0.61323 acc: 0.7900 | val_loss: 0.16038 - val_| Momentum | epoch: 004 | loss: 0.61323 - acc: 0.7900 | val_loss: 0.16038 - val_acc: 0.9565 -- iter: 199/199

Training Step: 915 | total loss: 0.55020
Training Step: 915 | total loss: 0.55020 acc: 0.7925 | val_loss: 0.23164 - val_| Momentum | epoch: 005 | loss: 0.55020 - acc: 0.7925 | val_loss: 0.23164 - val_acc: 0.9565 -- iter: 199/199

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

[spgriffin]

This issue was discussed here initially, #75. It was suggested that these are just error messages and that the real problem is here, #79.