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  1.  
  2. {
  3.    accUpdate : false
  4.    batchSize : 64
  5.    bidirectional : false
  6.    cuda : true
  7.    cutoffNorm : -1
  8.    dataPath : "/home/nilesh/data"
  9.    dataset : "PennTreeBank"
  10.    decayFactor : 0.001
  11.    dropout : false
  12.    dropoutProb : 0.5
  13.    evalSize : 100
  14.    forestGaterSize : "{}"
  15.    hiddenSize : {200}
  16.    learningRate : 0.1
  17.    lrDecay : "linear"
  18.    lstm : false
  19.    maxEpoch : 400
  20.    maxOutNorm : 2
  21.    maxTries : 30
  22.    maxWait : 4
  23.    minLR : 1e-05
  24.    momentum : 0
  25.    progress : true
  26.    rho : 5
  27.    saturateEpoch : 300
  28.    schedule : {}
  29.    silent : false
  30.    small : false
  31.    softmaxforest : false
  32.    softmaxtree : false
  33.    testFile : "test.txt"
  34.    tiny : false
  35.    trainEpochSize : 400000
  36.    trainFile : "train.txt"
  37.    trainOnly : false
  38.    uniform : -1
  39.    useDevice : 1
  40.    validEpochSize : 24000
  41.    validFile : "valid.txt"
  42.    xpPath : ""
  43.    zeroFirst : false
  44. }
  45. Language Model :
  46. nn.Sequential {
  47.   [input -> (1) -> (2) -> (3) -> (4) -> output]
  48.   (1): nn.LookupTable
  49.   (2): nn.SplitTable
  50.   (3): nn.Sequencer @ nn.Recurrent {
  51.     [{input(t), output(t-1)} -> (1) -> (2) -> (3) -> output(t)]
  52.     (1):  {
  53.       input(t)
  54.         |`-> (t==0): nn.Add
  55.         |`-> (t~=0): nn.Identity
  56.       output(t-1)
  57.         |`-> nn.Linear(200 -> 200)
  58.     }
  59.     (2): nn.CAddTable
  60.     (3): nn.Sigmoid
  61.   }
  62.   (4): nn.Sequencer @ nn.Recursor @ nn.Sequential {
  63.     [input -> (1) -> (2) -> output]
  64.     (1): nn.Linear(200 -> 10000)
  65.     (2): nn.LogSoftMax
  66.   }
  67. }
  68. FileLogger: log will be written to /home/nilesh/save/dl03-GB5670C:1462791406:1/log
  69. ==> epoch # 1 for optimizer :
  70. Segmentation fault (core dumped)
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