{
   accUpdate : false
   batchSize : 64
   bidirectional : false
   cuda : true
   cutoffNorm : -1
   dataPath : "/home/nilesh/data"
   dataset : "PennTreeBank"
   decayFactor : 0.001
   dropout : false
   dropoutProb : 0.5
   evalSize : 100
   forestGaterSize : "{}"
   hiddenSize : {200}
   learningRate : 0.1
   lrDecay : "linear"
   lstm : false
   maxEpoch : 400
   maxOutNorm : 2
   maxTries : 30
   maxWait : 4
   minLR : 1e-05
   momentum : 0
   progress : true
   rho : 5
   saturateEpoch : 300
   schedule : {}
   silent : false
   small : false
   softmaxforest : false
   softmaxtree : false
   testFile : "test.txt"
   tiny : false
   trainEpochSize : 400000
   trainFile : "train.txt"
   trainOnly : false
   uniform : -1
   useDevice : 1
   validEpochSize : 24000
   validFile : "valid.txt"
   xpPath : ""
   zeroFirst : false
}
Language Model :
nn.Sequential {
  [input -> (1) -> (2) -> (3) -> (4) -> output]
  (1): nn.LookupTable
  (2): nn.SplitTable
  (3): nn.Sequencer @ nn.Recurrent {
    [{input(t), output(t-1)} -> (1) -> (2) -> (3) -> output(t)]
    (1):  {
      input(t)
        |`-> (t==0): nn.Add
        |`-> (t~=0): nn.Identity
      output(t-1)
        |`-> nn.Linear(200 -> 200)
    }
    (2): nn.CAddTable
    (3): nn.Sigmoid
  }
  (4): nn.Sequencer @ nn.Recursor @ nn.Sequential {
    [input -> (1) -> (2) -> output]
    (1): nn.Linear(200 -> 10000)
    (2): nn.LogSoftMax
  }
}
FileLogger: log will be written to /home/nilesh/save/dl03-GB5670C:1462791406:1/log
==> epoch # 1 for optimizer :
Segmentation fault (core dumped)