From f1c32320247932580f9e60b2ed83aa8e30c9ff94 Mon Sep 17 00:00:00 2001
From: Mark Hillebrand <Mark.Hillebrand@microsoft.com>
Date: Mon, 18 Jan 2016 09:40:10 +0100
Subject: [PATCH] Missing tabs-to-spaces conversion

---
 Source/ActionsLib/OtherActions.cpp                 |  2 +-
 Source/Math/GPUMatrix.cu                           |  4 ++--
 Source/Math/latticefunctionskernels.h              | 10 +++++-----
 Source/Readers/LMSequenceReader/SequenceReader.h   | 10 +++++-----
 .../LibSVMBinaryReader/LibSVMBinaryReader.cpp      | 14 +++++++-------
 5 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/Source/ActionsLib/OtherActions.cpp b/Source/ActionsLib/OtherActions.cpp
index a8c9c7df8..ae6df366f 100644
--- a/Source/ActionsLib/OtherActions.cpp
+++ b/Source/ActionsLib/OtherActions.cpp
@@ -148,7 +148,7 @@ template void DoCreateLabelMap<double>(const ConfigParameters& config);
 //                  1)  modelPath           -- path to the existing model
 //                  2)  outputmodelPath     -- where to write the transformed model
 //                  3)  KeepRatio           -- how many percentage of energy we want to keep
-//					4)	AlignedSize			-- the resultant number of signular values is aligned to e.g., 32 or 64
+//                  4)  AlignedSize         -- the resultant number of signular values is aligned to e.g., 32 or 64
 //                  5)  ParameterName       -- name (regex) of the parameter node we want to perform a SVD decomposition
 //
 //////////////////////////////////////////////////////////////////////////
diff --git a/Source/Math/GPUMatrix.cu b/Source/Math/GPUMatrix.cu
index f78947ee9..643c9d143 100644
--- a/Source/Math/GPUMatrix.cu
+++ b/Source/Math/GPUMatrix.cu
@@ -4481,7 +4481,7 @@ GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignElementProductOfWithShiftNeg(con
     if (do_sync)
         CUDA_CALL(cudaEventCreate(&done));
     _assignElementProductOfWithShiftNeg<ElemType><<<block_tail, thread_tail, 0, t_stream>>>(m_pArray, a.m_pArray, b.m_pArray, shift, nt + 1, BS);
-    //		_assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
+    //      _assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
 
     if (do_sync)
         CUDA_CALL(cudaEventRecord(done));
@@ -4556,7 +4556,7 @@ GPUMatrix<ElemType>& GPUMatrix<ElemType>::GetARowByIndex(const GPUMatrix<ElemTyp
     if (do_sync)
         CUDA_CALL(cudaEventCreate(&done));
     _getARowByIndex<ElemType><<<blocksPerGrid, GridDim::maxThreadsPerBlock, 0, t_stream>>>(m_pArray, a.m_pArray, n, P, m);
-    //		_assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
+    //      _assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
 
     if (do_sync)
         CUDA_CALL(cudaEventRecord(done));
diff --git a/Source/Math/latticefunctionskernels.h b/Source/Math/latticefunctionskernels.h
index 76afd6b7b..5b9d98684 100644
--- a/Source/Math/latticefunctionskernels.h
+++ b/Source/Math/latticefunctionskernels.h
@@ -423,12 +423,12 @@ struct latticefunctionskernels
                     pathscore0 += getlogtransp(transP,-1,0) + logLLs(senoneid0,ts); 
                     pathscore2 += getlogtransp(transP,-1,2) + logLLs(senoneid2,ts);      
                 }
-				else                                                                    //for others, only -1 to 0 is permitted
-				{
-					pathscore0 += getlogtransp(transP, -1, 0) + logLLs(senoneid0, ts);                                
-					pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);                                
+                else                                                                    //for others, only -1 to 0 is permitted
+                {
+                    pathscore0 += getlogtransp(transP, -1, 0) + logLLs(senoneid0, ts);                                
+                    pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);                                
 
-				}*/
+                }*/
                 pathscore2 += getlogtransp(transP, -1, 2) + logLLs(senoneid2, ts);
                 pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);
                 //state1stepm1to1 = ts;
diff --git a/Source/Readers/LMSequenceReader/SequenceReader.h b/Source/Readers/LMSequenceReader/SequenceReader.h
index 3ad75c7e2..911cfc894 100644
--- a/Source/Readers/LMSequenceReader/SequenceReader.h
+++ b/Source/Readers/LMSequenceReader/SequenceReader.h
@@ -282,7 +282,7 @@ public:
         delete m_labelsIdBufferRow;
         delete m_labelsBlock2Id;
         delete m_labelsBlock2UniqId;
-		*/
+        */
     }
     virtual ~SequenceReader();
     virtual void StartMinibatchLoop(size_t mbSize, size_t epoch, size_t requestedEpochSamples = requestDataSize);
@@ -336,8 +336,8 @@ public:
     using SequenceReader<ElemType>::m_traceLevel;
     using SequenceReader<ElemType>::m_featureCount;
     using SequenceReader<ElemType>::m_endReached;
-    //	using IDataReader<ElemType>::labelIn;
-    //	using IDataReader<ElemType>::labelOut;
+    //  using IDataReader<ElemType>::labelIn;
+    //  using IDataReader<ElemType>::labelOut;
     using SequenceReader<ElemType>::InitCache;
     using SequenceReader<ElemType>::m_readerConfig;
     using SequenceReader<ElemType>::ReleaseMemory;
@@ -345,8 +345,8 @@ public:
     using SequenceReader<ElemType>::m_featuresBufferRow;
     using SequenceReader<ElemType>::m_labelsBuffer;
     using SequenceReader<ElemType>::m_labelsIdBuffer;
-    //	using IDataReader<ElemType>::labelInfo;
-    //	using SequenceReader<ElemType>::m_featuresBufferRowIndex;
+    //  using IDataReader<ElemType>::labelInfo;
+    //  using SequenceReader<ElemType>::m_featuresBufferRowIndex;
     using SequenceReader<ElemType>::m_labelsIdBufferRow;
     using SequenceReader<ElemType>::m_labelsBlock2Id;
     using SequenceReader<ElemType>::m_labelsBlock2UniqId;
diff --git a/Source/Readers/LibSVMBinaryReader/LibSVMBinaryReader.cpp b/Source/Readers/LibSVMBinaryReader/LibSVMBinaryReader.cpp
index 48bf22629..fd123a863 100644
--- a/Source/Readers/LibSVMBinaryReader/LibSVMBinaryReader.cpp
+++ b/Source/Readers/LibSVMBinaryReader/LibSVMBinaryReader.cpp
@@ -349,7 +349,7 @@ bool SparseBinaryInput<ElemType>::Randomize()
                     return true;
                 }
                 return false;
-				*/
+                */
 }
 
 template <class ElemType>
@@ -548,14 +548,14 @@ size_t SparseBinaryInput<ElemType>::ReadMinibatch(void* data_buffer, std::map<st
     //fprintf(stderr, "start read minibatch.\n");
     /*
                 size_t readSize = m_offsets[cur_batch + 1] - m_offsets[cur_batch];
-				void* data_buffer = GetTempDataPointer(readSize);
+                void* data_buffer = GetTempDataPointer(readSize);
 
-				fprintf(stderr, "start reading data.\n");
+                fprintf(stderr, "start reading data.\n");
                 m_inFile.clear();
                 m_inFile.seekg(m_dataStart + m_offsets[cur_batch], ios::beg);
-				m_inFile.read((char*)data_buffer, readSize);
-				fprintf(stderr, "done reading data.\n");
-				*/
+                m_inFile.read((char*)data_buffer, readSize);
+                fprintf(stderr, "done reading data.\n");
+                */
 
     int32_t nnz;
     int32_t curMBSize;
@@ -850,7 +850,7 @@ bool LibSVMBinaryReader<ElemType>::GetMinibatch(std::map<std::wstring, Matrix<El
 
                 timer = clock() - timer;
                 fprintf(stderr, "It took me %d clicks (%f seconds).\n", timer, ((float)timer) / CLOCKS_PER_SEC);
-				*/
+                */
     //fprintf(stderr, "done\n");
     return true;
 }