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dlwh / epic

**Archived** Epic is a high performance statistical parser written in Scala, along with a framework for building complex structured prediction models.

Home Page:http://scalanlp.org/

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Exception in thread "main" java.lang.IllegalAccessError: DB has been closed

Malkitti opened this issue · comments

commented

WARNING: Failed to load implementation from: com.github.fommil.netlib.NativeSystemBLAS
[main] INFO epic.framework.ModelObjective - Inference took: 2.876s
[main] INFO epic.parser.models.NeuralParserTrainer$ - Validating...
[ForkJoinPool-1-worker-13] INFO epic.parser.ParseEval$ - Sentences parsed 100/100 (0.224s elapsed.)
[main] INFO epic.parser.models.NeuralParserTrainer$ - Overall statistics for validation: Statistics(precision=1, recall=0.9403, f1=0.9692, exact=0.92, tagAccuracy=1)
[main] INFO epic.dense.AdadeltaGradientDescentDVD - Step Size: 1.000
[main] INFO epic.framework.ModelObjective - Inference took: 2.660s
[main] INFO epic.dense.AdadeltaGradientDescentDVD - Val and Grad Norm: 782.761 (rel: 0.329) 1884.69
[main] INFO epic.dense.AdadeltaGradientDescentDVD - Step Size: 1.000
Exception in thread "main" java.lang.IllegalAccessError: DB has been closed
at org.mapdb.EngineWrapper.checkClosed(EngineWrapper.java:297)
at org.mapdb.CacheWeakSoftRef.get(CacheWeakSoftRef.java:123)
at org.mapdb.HTreeMap.get(HTreeMap.java:414)
at scala.collection.convert.Wrappers$JConcurrentMapWrapper.get(Wrappers.scala:323)
at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:192)
at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
at epic.util.CacheBroker$CacheMap.getOrElseUpdate(Cache.scala:151)
at epic.constraints.CachedChartConstraintsFactory.constraints(CachedChartConstraintsFactory.scala:31)
at epic.parser.models.ParserInference$class.scorer(ParserModel.scala:51)
at epic.parser.models.PositionalNeuralModel$Inference.scorer(PositionalNeuralModel.scala:148)
at epic.parser.models.PositionalNeuralModel$Inference.scorer(PositionalNeuralModel.scala:148)
at epic.framework.Model$class.accumulateCounts(Model.scala:52)
at epic.parser.models.PositionalNeuralModel.accumulateCounts(PositionalNeuralModel.scala:30)
at epic.framework.ModelObjective$$anonfun$3.apply(ModelObjective.scala:68)
at epic.framework.ModelObjective$$anonfun$3.apply(ModelObjective.scala:65)
at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foldLeft_quick(ParArray.scala:174)
at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foldLeft(ParArray.scala:165)
at scala.collection.parallel.ParIterableLike$Aggregate.leaf(ParIterableLike.scala:1008)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
at scala.collection.parallel.ParIterableLike$Aggregate.tryLeaf(ParIterableLike.scala:1005)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.internal(Tasks.scala:169)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:443)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:149)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
at scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)