org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in stage 0.0 failed 1 times, most recent failure: Lost task 5.0 in stage 0.0 (TID 5, localhost): jcuda.CudaException: CUDA_ERROR_INVALID_VALUE

GitHub | TPolzer | 6 months ago
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  1. 0

    Some tests fail

    GitHub | 6 months ago | TPolzer
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in stage 0.0 failed 1 times, most recent failure: Lost task 5.0 in stage 0.0 (TID 5, localhost): jcuda.CudaException: CUDA_ERROR_INVALID_VALUE

    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 5 in stage 0.0 failed 1 times, most recent failure: Lost task 5.0 in stage 0.0 (TID 5, localhost): jcuda.CudaException: CUDA_ERROR_INVALID_VALUE

      at jcuda.driver.JCudaDriver.checkResult()
    2. jcuda.driver
      JCudaDriver.cuMemcpyDtoHAsync
      1. jcuda.driver.JCudaDriver.checkResult(JCudaDriver.java:312)
      2. jcuda.driver.JCudaDriver.cuMemcpyDtoHAsync(JCudaDriver.java:5732)
      2 frames
    3. com.ibm.gpuenabler
      HybridIterator$$anonfun$copyGpuToCpu$1.apply
      1. com.ibm.gpuenabler.HybridIterator$$anonfun$copyGpuToCpu$1.apply(HybridIterator.scala:198)
      2. com.ibm.gpuenabler.HybridIterator$$anonfun$copyGpuToCpu$1.apply(HybridIterator.scala:162)
      2 frames
    4. Scala
      Tuple2Zipped$.map$extension
      1. scala.runtime.Tuple2Zipped$$anonfun$map$extension$1.apply(Tuple2Zipped.scala:40)
      2. scala.runtime.Tuple2Zipped$$anonfun$map$extension$1.apply(Tuple2Zipped.scala:38)
      3. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      4. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
      5. scala.runtime.Tuple2Zipped$.map$extension(Tuple2Zipped.scala:38)
      5 frames
    5. com.ibm.gpuenabler
      MapGPUPartitionsRDD.compute
      1. com.ibm.gpuenabler.HybridIterator.copyGpuToCpu(HybridIterator.scala:162)
      2. com.ibm.gpuenabler.HybridIterator.freeGPUMemory(HybridIterator.scala:121)
      3. com.ibm.gpuenabler.CUDAFunction.compute(CUDAFunction.scala:421)
      4. com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:108)
      4 frames
    6. Spark
      RDD.iterator
      1. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      2. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      2 frames
    7. com.ibm.gpuenabler
      MapGPUPartitionsRDD.compute
      1. com.ibm.gpuenabler.MapGPUPartitionsRDD.compute(CUDARDDUtils.scala:95)
      1 frame
    8. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      2. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      3. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      4. org.apache.spark.scheduler.Task.run(Task.scala:89)
      5. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      5 frames
    9. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames