java.lang.IllegalArgumentException: 16 > 5

GitHub | overheadhunter | 4 months ago
  1. 0

    Ignore non-ciphertext files

    GitHub | 4 months ago | overheadhunter
    java.lang.IllegalArgumentException: 16 > 5
  2. 0

    Subject: h2o.deeplearning - Java (memory) exception? Does h2o.deeplearing have a known problem with Java memory allocation? When I tried to run it with a large 2-layer network, each with 5000 neurons (see below), it crashed after it output the network parameter setting, causing an exception (see Output below). This happened for both java version of "1.8.0_45" with max 150g heap, and "1.7.0_79" with max 6g heap. When the size of the neurons was smaller (e.g., 2000 each), this exception did not happen. Is this a know problem with H2O/Java? Neural network model.dl <- h2o.deeplearning( x = 2:(32^3+1), y = 1, classification=T, data = train.h2o, validation = test.h2o, activation = "TanhWithDropout", hidden = c(5000,5000), epochs = 100, train_samples_per_iteration = -1 ) Output: java.lang.IllegalArgumentException: 0 > -2147483648 at java.util.Arrays.copyOfRange(Arrays.java:3519) at water.MemoryManager.malloc(MemoryManager.java:251) at water.MemoryManager.malloc(MemoryManager.java:223) at water.MemoryManager.arrayCopyOfRange(MemoryManager.java:285) at water.AutoBuffer.sendPartial(AutoBuffer.java:507) at water.AutoBuffer.putA4f(AutoBuffer.java:1134) at hex.deeplearning.Neurons$DenseRowMatrix.write(Neurons.java) at water.AutoBuffer.put(AutoBuffer.java:604) at water.AutoBuffer.putA(AutoBuffer.java:660) at hex.deeplearning.DeepLearningModel$DeepLearningModelInfo.write(DeepLearningModel.java) at water.AutoBuffer.put(AutoBuffer.java:598) at hex.deeplearning.DeepLearningModel.write(DeepLearningModel.java) at water.Value.<init>(Value.java:358) at water.TAtomic.atomic(TAtomic.java:23) at water.Atomic.compute2(Atomic.java:58) at water.Atomic.fork(Atomic.java:42) at water.Atomic.invoke(Atomic.java:34) at water.Lockable.write_lock(Lockable.java:60) at hex.deeplearning.DeepLearning.trainModel(DeepLearning.java:1039) at hex.deeplearning.DeepLearning.buildModel(DeepLearning.java:849) at hex.deeplearning.DeepLearning.execImpl(DeepLearning.java:755) at water.Func.exec(Func.java:42) at water.Job$3.compute2(Job.java:334) at water.H2O$H2OCountedCompleter.compute(H2O.java:656) at jsr166y.CountedCompleter.exec(CountedCompleter.java:429) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)

    JIRA | 2 years ago | Arno Candel
    java.lang.IllegalArgumentException: 0 > -2147483648
  3. 0

    GitHub comment 402#221857928

    GitHub | 7 months ago | mhoudg
    java.lang.IllegalArgumentException: 128 > 32
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  5. 0

    Subject: h2o.deeplearning - Java (memory) exception? Does h2o.deeplearing have a known problem with Java memory allocation? When I tried to run it with a large 2-layer network, each with 5000 neurons (see below), it crashed after it output the network parameter setting, causing an exception (see Output below). This happened for both java version of "1.8.0_45" with max 150g heap, and "1.7.0_79" with max 6g heap. When the size of the neurons was smaller (e.g., 2000 each), this exception did not happen. Is this a know problem with H2O/Java? Neural network model.dl <- h2o.deeplearning( x = 2:(32^3+1), y = 1, classification=T, data = train.h2o, validation = test.h2o, activation = "TanhWithDropout", hidden = c(5000,5000), epochs = 100, train_samples_per_iteration = -1 ) Output: java.lang.IllegalArgumentException: 0 > -2147483648 at java.util.Arrays.copyOfRange(Arrays.java:3519) at water.MemoryManager.malloc(MemoryManager.java:251) at water.MemoryManager.malloc(MemoryManager.java:223) at water.MemoryManager.arrayCopyOfRange(MemoryManager.java:285) at water.AutoBuffer.sendPartial(AutoBuffer.java:507) at water.AutoBuffer.putA4f(AutoBuffer.java:1134) at hex.deeplearning.Neurons$DenseRowMatrix.write(Neurons.java) at water.AutoBuffer.put(AutoBuffer.java:604) at water.AutoBuffer.putA(AutoBuffer.java:660) at hex.deeplearning.DeepLearningModel$DeepLearningModelInfo.write(DeepLearningModel.java) at water.AutoBuffer.put(AutoBuffer.java:598) at hex.deeplearning.DeepLearningModel.write(DeepLearningModel.java) at water.Value.<init>(Value.java:358) at water.TAtomic.atomic(TAtomic.java:23) at water.Atomic.compute2(Atomic.java:58) at water.Atomic.fork(Atomic.java:42) at water.Atomic.invoke(Atomic.java:34) at water.Lockable.write_lock(Lockable.java:60) at hex.deeplearning.DeepLearning.trainModel(DeepLearning.java:1039) at hex.deeplearning.DeepLearning.buildModel(DeepLearning.java:849) at hex.deeplearning.DeepLearning.execImpl(DeepLearning.java:755) at water.Func.exec(Func.java:42) at water.Job$3.compute2(Job.java:334) at water.H2O$H2OCountedCompleter.compute(H2O.java:656) at jsr166y.CountedCompleter.exec(CountedCompleter.java:429) at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263) at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974) at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) at jsr166y.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:104)

    JIRA | 2 years ago | Arno Candel
    java.lang.IllegalArgumentException: 0 > -2147483648
  6. 0

    Not Working - /arena setOption onComplete rejoin

    GitHub | 2 years ago | canz
    java.lang.IllegalArgumentException: 1 > 0

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    Root Cause Analysis

    1. java.lang.IllegalArgumentException

      16 > 5

      at java.util.Arrays.copyOfRange()
    2. Java RT
      Arrays.copyOfRange
      1. java.util.Arrays.copyOfRange(Arrays.java:3519)[?:1.8.0_92]
      1 frame
    3. org.cryptomator.siv
      SivMode.decrypt
      1. org.cryptomator.siv.SivMode.decrypt(SivMode.java:178)[siv-mode-1.0.7.jar:?]
      2. org.cryptomator.siv.SivMode.decrypt(SivMode.java:156)[siv-mode-1.0.7.jar:?]
      2 frames
    4. org.cryptomator.crypto
      FilenameCryptorImpl.decryptFilename
      1. org.cryptomator.crypto.engine.impl.FilenameCryptorImpl.decryptFilename(FilenameCryptorImpl.java:71)[classes/:?]
      1 frame