diff --git a/Source/Common/Include/Sequences.h b/Source/Common/Include/Sequences.h
index 555ceeb0a..85437dade 100644
--- a/Source/Common/Include/Sequences.h
+++ b/Source/Common/Include/Sequences.h
@@ -222,10 +222,10 @@ public:
             let len = inputSequences[i].GetNumTimeSteps();
             // first see if we find a row that has enough space
             // TODO: Should we use a proper priority_queue?
-            size_t s = rowAllocations.size();
-            /*for (s = 0; s < rowAllocations.size(); s++)
+            size_t s;
+            for (s = 0; s < rowAllocations.size(); s++)
                 if (rowAllocations[s] + len <= width)
-                    break; */ // yep, it fits
+                    break; // yep, it fits
             // we did not find a s that fit then create a new one
             if (s == rowAllocations.size())
                 rowAllocations.push_back(0);
diff --git a/Source/ComputationNetworkLib/EvaluationNodes.h b/Source/ComputationNetworkLib/EvaluationNodes.h
index b138c0aa7..57eb26d82 100644
--- a/Source/ComputationNetworkLib/EvaluationNodes.h
+++ b/Source/ComputationNetworkLib/EvaluationNodes.h
@@ -59,7 +59,8 @@ public:
         InputRef(1).ValueFor(fr).VectorMax(*m_maxIndexes1, *m_maxValues, true, m_topK);
         MaskMissingColumnsToZero(*m_maxIndexes0, InputRef(0).GetMBLayout(), fr);
         MaskMissingColumnsToZero(*m_maxIndexes1, InputRef(1).GetMBLayout(), fr);
-        m_maxIndexes0->Print("LM out");
+        //m_maxIndexes0->Print("LM out");
+        //m_maxIndexes1->Print("LSTM out");
         Value().AssignNumOfDiff(*m_maxIndexes0, *m_maxIndexes1, m_topK > 1);
 #if NANCHECK
         Value().HasNan("ClassificationError");
@@ -512,6 +513,9 @@ public:
 
         MaskMissingColumnsToZero(*m_maxIndexes0, Input(0)->GetMBLayout(), frameRange);
         MaskMissingColumnsToZero(*m_maxIndexes1, Input(1)->GetMBLayout(), frameRange);
+
+        //m_maxIndexes1->Print("LSTM output");
+        //m_maxIndexes0->Print("label output");
         Value()(0, 0) = ComputeEditDistanceError(*m_maxIndexes0, *m_maxIndexes1, Input(0)->GetMBLayout(), m_subPen, m_delPen, m_insPen, m_squashInputs, m_tokensToIgnore);
         Value().TransferToDeviceIfNotThere(Input(0)->GetDeviceId());
     }
@@ -615,6 +619,7 @@ public:
                 ExtractSampleSequence(firstSeq, columnIndices, squashInputs, tokensToIgnore, firstSeqVec);
                 ExtractSampleSequence(secondSeq, columnIndices, squashInputs, tokensToIgnore, secondSeqVec);
 
+                
                 //calculate edit distance
                 size_t firstSize = firstSeqVec.size();
                 size_t secondSize = secondSeqVec.size();
@@ -623,6 +628,20 @@ public:
                 else 
                     totalSampleNum += firstSize;
 
+                /*fprintf(stderr, "label: ");
+                for (size_t n = 0; n < firstSize; n++)
+                {
+                    fprintf(stderr, "%d ", firstSeqVec[n]);
+                }
+                fprintf(stderr, "\n");
+
+                fprintf(stderr, "output: ");
+                for (size_t n = 0; n < secondSize; n++)
+                {
+                    fprintf(stderr, "%d ", secondSeqVec[n]);
+                }
+                fprintf(stderr, "\n");*/
+                    
                 grid.Resize(firstSize + 1, secondSize + 1);
                 insMatrix.Resize(firstSize + 1, secondSize + 1);
                 delMatrix.Resize(firstSize + 1, secondSize + 1);
diff --git a/Source/Math/CPUMatrixImpl.h b/Source/Math/CPUMatrixImpl.h
index f1f2af446..15863faee 100644
--- a/Source/Math/CPUMatrixImpl.h
+++ b/Source/Math/CPUMatrixImpl.h
@@ -6879,6 +6879,17 @@ void _assignRNNTScore(
                         y = exp(x);
                     RNNTscore[probId] -= y;
                 }
+
+                if (u == phoneNum - 1 && t == uttFrameNum[uttId] - 1)
+                {
+                    size_t probId = tuID *totalPhoneNum + blankTokenId;
+                    x = alphaScore[alphaId] + prob[probId] - P_lx;
+                    if (x < LZERO)
+                        y = 0.0f;
+                    else
+                        y = exp(x);
+                    RNNTscore[probId] -= y;
+                }
                 //for (size_t k == 0; k < totalPhoneNum; k++)
                 
             }
@@ -7303,19 +7314,19 @@ CPUMatrix<ElemType>& CPUMatrix<ElemType>::AssignRNNTScore(const CPUMatrix<ElemTy
         
         m_derivativeForF.SetValue(0.0);
         m_derivativeForG.SetValue(0.0);
-        //_assignRNNTScore(Data(), prob.Data(), alpha.Data(), beta.Data(), phoneSeq.Data(), uttNum, uttFrameNum, uttPhoneNum, uttFrameBeginIdx, uttFrameToChanInd,
-        //    uttBeginForOutputditribution, numParallelSequences, maxPhoneNum,  totalPhoneNum, blankTokenId);
-            _assignRNNTScore2(Data(), prob.Data(), alpha.Data(), beta.Data(), phoneSeq.Data(), uttNum, uttFrameNum, uttPhoneNum, uttFrameBeginIdx, uttPhoneBeginIdx, uttFrameToChanInd, uttPhoneToChanInd,
-                uttBeginForOutputditribution, numParallelSequences, numPhoneParallelSequences, maxPhoneNum, totalPhoneNum, blankTokenId, m_derivativeForF.Data(), m_derivativeForG.Data());
+        _assignRNNTScore(Data(), prob.Data(), alpha.Data(), beta.Data(), phoneSeq.Data(), uttNum, uttFrameNum, uttPhoneNum, uttFrameBeginIdx, uttFrameToChanInd,
+            uttBeginForOutputditribution, numParallelSequences, maxPhoneNum,  totalPhoneNum, blankTokenId);
+        //    _assignRNNTScore2(Data(), prob.Data(), alpha.Data(), beta.Data(), phoneSeq.Data(), uttNum, uttFrameNum, uttPhoneNum, uttFrameBeginIdx, uttPhoneBeginIdx, uttFrameToChanInd, uttPhoneToChanInd,
+        //        uttBeginForOutputditribution, numParallelSequences, numPhoneParallelSequences, maxPhoneNum, totalPhoneNum, blankTokenId, m_derivativeForF.Data(), m_derivativeForG.Data());
         //this->Print("RNNT score");
         totalScore(0, 0) = 0.0;
-        fprintf(stderr, "utt score: ");
+        //fprintf(stderr, "utt score: ");
         for (size_t utt = 0; utt < uttNum; utt++)
         {
-            fprintf(stderr, "%f ", scores[utt]);
+            //fprintf(stderr, "%f ", scores[utt]);
             totalScore(0, 0) -= scores[utt];
         }
-        fprintf(stderr, "\n");
+        //fprintf(stderr, "\n");
         //alpha.SetValue(0.0);
         //ElemType score= compute_alphas(prob.Data(), alpha.Data(), (int)maxFrameNum, (int)maxPhoneNum, phoneSeq.Data());
         //CPUMatrix<ElemType> trans_grads, predict_grads;
diff --git a/Source/SequenceTrainingLib/gammacalculation.h b/Source/SequenceTrainingLib/gammacalculation.h
index 4a61ea72b..28b12f3b8 100644
--- a/Source/SequenceTrainingLib/gammacalculation.h
+++ b/Source/SequenceTrainingLib/gammacalculation.h
@@ -562,7 +562,7 @@ public:
         ElemType finalscore = 0;
         finalscore =  totalScore.Get00Element();
         //fprintf(stderr, "finalscore:%f\n", finalscore);
-        //if (finalscore > 50 || finalscore < 0)
+        if (finalscore > 50 || finalscore < 0)
         {
             for (size_t i = 0; i < uttFrameNum.size(); i++)
             {
@@ -579,10 +579,10 @@ public:
         matrixOutputDistribution.ReleaseMemory();
 
         //compute derivatives for F and G
-        //m_derivativeForF.AssignUserOp2(RNNTPosterior, uttFrameToChanInd, uttPhoneToChanInd, uttFrameBeginIdx, uttPhoneBeginIdx, uttBeginForOutputditribution, uttFrameNum, uttPhoneNum,
-         //   numParallelSequences, numPhoneParallelSequences, maxFrameNum, maxPhoneNum, 0);
-        //m_derivativeForG.AssignUserOp2(RNNTPosterior, uttFrameToChanInd, uttPhoneToChanInd, uttFrameBeginIdx, uttPhoneBeginIdx, uttBeginForOutputditribution, uttFrameNum, uttPhoneNum,
-           // numParallelSequences, numPhoneParallelSequences, maxFrameNum, maxPhoneNum, 1);
+        m_derivativeForF.AssignUserOp2(RNNTPosterior, uttFrameToChanInd, uttPhoneToChanInd, uttFrameBeginIdx, uttPhoneBeginIdx, uttBeginForOutputditribution, uttFrameNum, uttPhoneNum,
+            numParallelSequences, numPhoneParallelSequences, maxFrameNum, maxPhoneNum, 0);
+        m_derivativeForG.AssignUserOp2(RNNTPosterior, uttFrameToChanInd, uttPhoneToChanInd, uttFrameBeginIdx, uttPhoneBeginIdx, uttBeginForOutputditribution, uttFrameNum, uttPhoneNum,
+            numParallelSequences, numPhoneParallelSequences, maxFrameNum, maxPhoneNum, 1);
 
         //m_derivativeForF.Print("derivative for F");
         //m_derivativeForG.Print("derivative for G");