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mukut03 / ESG-BERT

Domain Specific BERT Model for Text Mining in Sustainable Investing
Apache License 2.0
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Backend worker monitoring thread interrupted or backend worker process died #2

Open ppengkkang opened 3 years ago

ppengkkang commented 3 years ago

When starting the server, I got this error, any idea?

2021-01-08 15:35:44,952 [DEBUG] W-9002-bert_1.0 org.pytorch.serve.wlm.WorkerThread - Backend worker monitoring thread interrupted or backend worker process died. java.lang.InterruptedException at java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.reportInterruptAfterWait(AbstractQueuedSynchronizer.java:2056) at java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2133) at java.base/java.util.concurrent.ArrayBlockingQueue.poll(ArrayBlockingQueue.java:432) at org.pytorch.serve.wlm.WorkerThread.run(WorkerThread.java:188) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:834) 2021-01-08 15:35:44,952 [INFO ] W-9002-bert_1.0-stdout org.pytorch.serve.wlm.WorkerLifeCycle - self.model = AutoModelForSequenceClassification.from_pretrained(model_dir)

leejamesss commented 6 months ago

You can check your model_dir folder and see if pytorch_model.bin is correctly replaced,if correct,then the size of the file should be 400M+