SparkNet Cifar Data Set Error

[sitakant...@gmail.com]

Hi,

I am trying to run Cifar-10 data set on my local Spark cluster. It is giving me an weird error every time it tries to get something from the WorkerStore.

Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 3 in stage 11.0 failed 1 times, most recent failure: Lost task 3.0 in stage 11.0 (TID 87, salem.cs.colostate.edu): java.util.NoSuchElementException: key not found: solver
    at scala.collection.MapLike$class.default(MapLike.scala:228)
    at scala.collection.AbstractMap.default(Map.scala:58)
    at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
    at libs.WorkerStore.get(WorkerStore.scala:9)
    at apps.CifarApp$$anonfun$3.apply(CifarApp.scala:98)
    at apps.CifarApp$$anonfun$3.apply(CifarApp.scala:98)
    at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
    at scala.collection.Iterator$class.foreach(Iterator.scala:727)
    at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
    at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
    at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
    at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
    at scala.collection.AbstractIterator.to(Iterator.scala:1157)
    at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
    at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
    at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
    at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
    at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$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)


Before this, I also got error for the following line of code.
logger.log("trainPartitionSizes = " + workers.map(_ => workerStore.get[Int]("trainPartitionSize")).collect().deep.toString)

I have no clue why it is not able to get the value from the map, but it is putting in the map without any error. Kindly help me with this. I am badly stuck with this.

Thanks and Regards,
Sitakanta Mishra