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$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
2021-01-08 15:35:44,952 [INFO ] W-9002-bert_1.0-stdout org.pytorch.serve.wlm.WorkerLifeCycle - self.model = AutoModelForSequenceClassification.from_pretrained(model_dir)
When starting the server, I got this error, any idea?
2021-01-08 15:35:44,952 [DEBUG] W-9002-bert_1.0 org.pytorch.serve.wlm.WorkerThread - Backend worker monitoring thread interrupted or backend worker process died. java.lang.InterruptedException at java.base/java.util.concurrent.locks.AbstractQueuedSynchronizer$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)