mangushev / mtad-gat

Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
MIT License
79 stars 25 forks source link

action=PRECTION Report an error #7

Closed GuoHongXin999 closed 2 years ago

GuoHongXin999 commented 2 years ago

97Z8U3~ZT@{H3I 81W{V 77 Traceback (most recent call last): File "F:/mtad-gat-master/training.py", line 379, in main() File "F:/mtad-gat-master/training.py", line 267, in main scores = list(results) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow_estimator\python\estimator\tpu\tpu_estimator.py", line 2919, in predict rendezvous.raise_errors() File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow_estimator\python\estimator\tpu\error_handling.py", line 131, in raise_errors six.reraise(typ, value, traceback) File "D:\Anaconda\envs\tf114\lib\site-packages\six.py", line 719, in reraise raise value File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow_estimator\python\estimator\tpu\tpu_estimator.py", line 2913, in predict yield_single_examples=yield_single_examples): File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow_estimator\python\estimator\estimator.py", line 637, in predict preds_evaluated = mon_sess.run(predictions) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\training\monitored_session.py", line 754, in run run_metadata=run_metadata) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1252, in run run_metadata=run_metadata) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1353, in run raise six.reraise(original_exc_info) File "D:\Anaconda\envs\tf114\lib\site-packages\six.py", line 719, in reraise raise value File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1338, in run return self._sess.run(args, *kwargs) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1411, in run run_metadata=run_metadata) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\training\monitored_session.py", line 1169, in run return self._sess.run(args, **kwargs) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\client\session.py", line 950, in run run_metadata_ptr) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\client\session.py", line 1173, in _run feed_dict_tensor, options, run_metadata) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\client\session.py", line 1350, in _do_run run_metadata) File "D:\Anaconda\envs\tf114\lib\site-packages\tensorflow\python\client\session.py", line 1370, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Key: input. Can't parse serialized Example. [[{{node ParseSingleExample/ParseSingleExample}}]] [[IteratorGetNext]] [[IteratorGetNext/_221]] (1) Invalid argument: Key: input. Can't parse serialized Example. [[{{node ParseSingleExample/ParseSingleExample}}]] [[IteratorGetNext]] 0 successful operations. 0 derived errors ignored.

Process finished with exit code 1

It works fine during training, but starts reporting errors at the file - inference_score.csv.generation step. Do you have this problem?