java.lang.ExceptionInInitializerError: This exception has no message.

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java.lang.ExceptionInInitializerError:
at org.nd4j.jita.allocator.context.impl.BasicContextPool.getDeviceBuffers(BasicContextPool.java:264)
at org.nd4j.jita.allocator.context.impl.LimitedContextPool.addResourcesToPool(LimitedContextPool.java:74)
at org.nd4j.jita.allocator.context.impl.LimitedContextPool.(LimitedContextPool.java:52)
at org.nd4j.jita.handler.impl.CudaZeroHandler.(CudaZeroHandler.java:126)
at org.nd4j.jita.allocator.impl.AtomicAllocator.(AtomicAllocator.java:117)
at org.nd4j.jita.allocator.impl.AtomicAllocator.(AtomicAllocator.java:68)
at org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer.(BaseCudaDataBuffer.java:71)
at org.nd4j.linalg.jcublas.buffer.factory.CudaDataBufferFactory.createFloat(CudaDataBufferFactory.java:251)
at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1266)
at org.nd4j.linalg.factory.Nd4j.createBuffer(Nd4j.java:1241)
at org.nd4j.linalg.api.ndarray.BaseNDArray.(BaseNDArray.java:229)
at org.nd4j.linalg.api.ndarray.BaseNDArray.(BaseNDArray.java:266)
at org.nd4j.linalg.jcublas.JCublasNDArray.(JCublasNDArray.java:257)
at org.nd4j.linalg.jcublas.JCublasNDArrayFactory.create(JCublasNDArrayFactory.java:224)
at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4359)
at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4321)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.init(MultiLayerNetwork.java:399)
at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.init(MultiLayerNetwork.java:353)
at com.stottlerhenke.illuminate.training.DL4JClassifierTrainer$.trainLstmRnn(DL4JClassifierTrainer.scala:84)
at com.stottlerhenke.illuminate.training.MultiClassifierTrainer.loadDataAndTrainDL4JClassifier(MultiClassifierTrainer.scala:110)
at com.stottlerhenke.illuminate.training.MultiClassifierTrainer$$anonfun$trainAndSaveClassifier$1.apply(MultiClassifierTrainer.scala:46)
at com.stottlerhenke.illuminate.training.MultiClassifierTrainer$$anonfun$trainAndSaveClassifier$1.apply(MultiClassifierTrainer.scala:38)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at com.stottlerhenke.illuminate.training.MultiClassifierTrainer.trainAndSaveClassifier(MultiClassifierTrainer.scala:38)
at com.stottlerhenke.illuminate.training.ClassifierTrainer$.main(ClassifierTrainer.scala:138)
at com.stottlerhenke.illuminate.training.ClassifierTrainer.main(ClassifierTrainer.scala)

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