kaldi ver seems to work (2x slower)

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@399 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

src/rnn/Makefile

@@ -4,7 +4,7 @@ all:
 EXTRA_CXXFLAGS = -Wno-sign-compare
 include ../kaldi.mk
 
-BINFILES = rnn-rescore rnn-rescore-kaldi
+BINFILES = rnn-rescore 
 
 OBJFILES =
 

src/rnn/rnn-rescore-kaldi.cc

@@ -169,7 +169,7 @@ class RNN{
       //  (*hOut)(i)=1.0/(1.0-FAST_EXP((*hOut)(i))); 
       hOut->ApplyExp();hOut->Add(1.0);hOut->InvertElements();
 
-      KALDI_LOG<<(*hOut)(112);
+      //KALDI_LOG<<(*hOut)(112);
 
 
       if (IsOOV(w)) {
@@ -197,7 +197,7 @@ class RNN{
         y_part.AddMatVec(1.0,W2_part,kTrans,*hOut,0.0);
         for (int32 i=0;i<y_part.Dim();i++) ysum+=(y_part(i)=FAST_EXP(y_part(i)));
 
-        KALDI_LOG << -log(y_(w)*cl_(int2class_[w])/clsum/ysum);
+        //KALDI_LOG << -log(y_(w)*cl_(int2class_[w])/clsum/ysum);
         return -log(y_(w)*cl_(int2class_[w])/clsum/ysum);
       }
 

src/rnn/rnn-rescore.cc

@@ -197,7 +197,7 @@ class RNN{
       // activate hidden layer (sigmoid) and determine updated s(t)
       *hOut=VectorXr(VectorXr(h_ac.array().exp()+1.0).array().inverse());
 
-      KALDI_LOG<<(*hOut)(112);
+//      KALDI_LOG<<(*hOut)(112);
 
       if (IsIV(w)){
         // evaluate classes: c(t)=W*s(t) + activation class layer (softmax)
@@ -210,7 +210,7 @@ class RNN{
         // activate class part of the word layer (softmax)
         y_.segment(b,n).noalias()=VectorXr((W2_.middleRows(b,n)*(*hOut)).array().exp());
         ivcnt_++;
-        KALDI_LOG<<-log(y_(w)*cl_(int2class_[w])/cl_.sum()/y_.segment(b,n).sum());
+//        KALDI_LOG<<-log(y_(w)*cl_(int2class_[w])/cl_.sum()/y_.segment(b,n).sum());
         return -log(y_(w)*cl_(int2class_[w])/cl_.sum()/y_.segment(b,n).sum());
       } else { oovcnt_++; return OOVPenalty(); };
     }