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July 11, 2016 17:56
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| [Stage 4:===> (2 + 30) / 32]CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:2831 code=77(<unknown>) "cudaStreamSynchronize(*stream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:2831 code=77(<unknown>) "cudaStreamSynchronize(*stream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:2831 code=77(<unknown>) "cudaStreamSynchronize(*stream)" | |
| Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 16 in stage 4.0 failed 1 times, most recent failure: Lost task 16.0 in stage 4.0 (TID 144, localhost): java.lang.IllegalStateException: MemcpyAsync relocate H2D failed: [36012556288] -> [180810547200] | |
| at org.nd4j.jita.handler.impl.CudaZeroHandler.relocate(CudaZeroHandler.java:366) | |
| at org.nd4j.jita.handler.impl.CudaZeroHandler.getDevicePointer(CudaZeroHandler.java:733) | |
| at org.nd4j.jita.allocator.impl.AtomicAllocator.getPointer(AtomicAllocator.java:256) | |
| at org.nd4j.linalg.jcublas.ops.executioner.JCudaExecutioner.invoke(JCudaExecutioner.java:1001) | |
| at org.nd4j.linalg.jcublas.ops.executioner.JCudaExecutioner.exec(JCudaExecutioner.java:552) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.assign(BaseNDArray.java:2943) | |
| at org.nd4j.linalg.factory.BaseNDArrayFactory.ones(BaseNDArrayFactory.java:1247) | |
| at org.nd4j.linalg.factory.BaseNDArrayFactory.ones(BaseNDArrayFactory.java:972) | |
| at org.nd4j.linalg.factory.Nd4j.ones(Nd4j.java:4504) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.initMask(MultiLayerNetwork.java:1879) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.init(MultiLayerNetwork.java:416) | |
| at org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker.getInitialModel(ParameterAveragingTrainingWorker.java:44) | |
| at org.deeplearning4j.spark.api.worker.ExecuteWorkerFlatMap.call(ExecuteWorkerFlatMap.java:68) | |
| at org.deeplearning4j.spark.api.worker.ExecuteWorkerFlatMap.call(ExecuteWorkerFlatMap.java:26) | |
| at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:156) | |
| at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:156) | |
| at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) | |
| at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) | |
| at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) | |
| at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) | |
| at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) | |
| at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) | |
| at org.apache.spark.scheduler.Task.run(Task.scala:88) | |
| at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) | |
| at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) | |
| at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) | |
| at java.lang.Thread.run(Thread.java:745) | |
| Driver stacktrace: | |
| at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1280) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267) | |
| at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) | |
| at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) | |
| at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) | |
| at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) | |
| at scala.Option.foreach(Option.scala:257) | |
| at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) | |
| at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493) | |
| at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455) | |
| at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444) | |
| at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) | |
| at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) | |
| at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) | |
| at org.apache.spark.SparkContext.runJob(SparkContext.scala:1933) | |
| at org.apache.spark.rdd.RDD$$anonfun$aggregate$1.apply(RDD.scala:1078) | |
| at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) | |
| at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) | |
| at org.apache.spark.rdd.RDD.withScope(RDD.scala:306) | |
| at org.apache.spark.rdd.RDD.aggregate(RDD.scala:1071) | |
| at org.apache.spark.api.java.JavaRDDLike$class.aggregate(JavaRDDLike.scala:416) | |
| at org.apache.spark.api.java.AbstractJavaRDDLike.aggregate(JavaRDDLike.scala:47) | |
| at org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.processResults(ParameterAveragingTrainingMaster.java:407) | |
| at org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.doIteration(ParameterAveragingTrainingMaster.java:339) | |
| at org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.executeTraining(ParameterAveragingTrainingMaster.java:181) | |
| at org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer.fit(SparkDl4jMultiLayer.java:201) | |
| at org.deeplearning4j.examples.rnn.GravesLSTMCharModellingExample.main(GravesLSTMCharModellingExample.java:116) | |
| Caused by: java.lang.IllegalStateException: MemcpyAsync relocate H2D failed: [36012556288] -> [180810547200] | |
| at org.nd4j.jita.handler.impl.CudaZeroHandler.relocate(CudaZeroHandler.java:366) | |
| at org.nd4j.jita.handler.impl.CudaZeroHandler.getDevicePointer(CudaZeroHandler.java:733) | |
| at org.nd4j.jita.allocator.impl.AtomicAllocator.getPointer(AtomicAllocator.java:256) | |
| at org.nd4j.linalg.jcublas.ops.executioner.JCudaExecutioner.invoke(JCudaExecutioner.java:1001) | |
| at org.nd4j.linalg.jcublas.ops.executioner.JCudaExecutioner.exec(JCudaExecutioner.java:552) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.assign(BaseNDArray.java:2943) | |
| at org.nd4j.linalg.factory.BaseNDArrayFactory.ones(BaseNDArrayFactory.java:1247) | |
| at org.nd4j.linalg.factory.BaseNDArrayFactory.ones(BaseNDArrayFactory.java:972) | |
| at org.nd4j.linalg.factory.Nd4j.ones(Nd4j.java:4504) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.initMask(MultiLayerNetwork.java:1879) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.init(MultiLayerNetwork.java:416) | |
| at org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker.getInitialModel(ParameterAveragingTrainingWorker.java:44) | |
| at org.deeplearning4j.spark.api.worker.ExecuteWorkerFlatMap.call(ExecuteWorkerFlatMap.java:68) | |
| at org.deeplearning4j.spark.api.worker.ExecuteWorkerFlatMap.call(ExecuteWorkerFlatMap.java:26) | |
| at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:156) | |
| at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$4$1.apply(JavaRDDLike.scala:156) | |
| at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) | |
| at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706) | |
| at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) | |
| at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) | |
| at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) | |
| at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) | |
| at org.apache.spark.scheduler.Task.run(Task.scala:88) | |
| at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) | |
| at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) | |
| at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) | |
| at java.lang.Thread.run(Thread.java:745) | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:2831 code=77(<unknown>) "cudaStreamSynchronize(*stream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3921 code=77(<unknown>) "cudaStreamSynchronize(*pStream)" | |
| CUDA error at /skymind/libnd4j/blas/cuda/NativeOps.cu:3947 code=77(<unknown>) "result" |
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