Missing tabs-to-spaces conversion

This commit is contained in:
Mark Hillebrand 2016-01-18 09:40:10 +01:00
Родитель 6c5aa5809e
Коммит f1c3232024
5 изменённых файлов: 20 добавлений и 20 удалений

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@ -148,7 +148,7 @@ template void DoCreateLabelMap<double>(const ConfigParameters& config);
// 1) modelPath -- path to the existing model // 1) modelPath -- path to the existing model
// 2) outputmodelPath -- where to write the transformed model // 2) outputmodelPath -- where to write the transformed model
// 3) KeepRatio -- how many percentage of energy we want to keep // 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 // 5) ParameterName -- name (regex) of the parameter node we want to perform a SVD decomposition
// //
////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////

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@ -4481,7 +4481,7 @@ GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignElementProductOfWithShiftNeg(con
if (do_sync) if (do_sync)
CUDA_CALL(cudaEventCreate(&done)); 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); _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) if (do_sync)
CUDA_CALL(cudaEventRecord(done)); CUDA_CALL(cudaEventRecord(done));
@ -4556,7 +4556,7 @@ GPUMatrix<ElemType>& GPUMatrix<ElemType>::GetARowByIndex(const GPUMatrix<ElemTyp
if (do_sync) if (do_sync)
CUDA_CALL(cudaEventCreate(&done)); CUDA_CALL(cudaEventCreate(&done));
_getARowByIndex<ElemType><<<blocksPerGrid, GridDim::maxThreadsPerBlock, 0, t_stream>>>(m_pArray, a.m_pArray, n, P, m); _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) if (do_sync)
CUDA_CALL(cudaEventRecord(done)); CUDA_CALL(cudaEventRecord(done));

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@ -423,12 +423,12 @@ struct latticefunctionskernels
pathscore0 += getlogtransp(transP,-1,0) + logLLs(senoneid0,ts); pathscore0 += getlogtransp(transP,-1,0) + logLLs(senoneid0,ts);
pathscore2 += getlogtransp(transP,-1,2) + logLLs(senoneid2,ts); pathscore2 += getlogtransp(transP,-1,2) + logLLs(senoneid2,ts);
} }
else //for others, only -1 to 0 is permitted else //for others, only -1 to 0 is permitted
{ {
pathscore0 += getlogtransp(transP, -1, 0) + logLLs(senoneid0, ts); pathscore0 += getlogtransp(transP, -1, 0) + logLLs(senoneid0, ts);
pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts); pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);
}*/ }*/
pathscore2 += getlogtransp(transP, -1, 2) + logLLs(senoneid2, ts); pathscore2 += getlogtransp(transP, -1, 2) + logLLs(senoneid2, ts);
pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts); pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);
//state1stepm1to1 = ts; //state1stepm1to1 = ts;

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@ -282,7 +282,7 @@ public:
delete m_labelsIdBufferRow; delete m_labelsIdBufferRow;
delete m_labelsBlock2Id; delete m_labelsBlock2Id;
delete m_labelsBlock2UniqId; delete m_labelsBlock2UniqId;
*/ */
} }
virtual ~SequenceReader(); virtual ~SequenceReader();
virtual void StartMinibatchLoop(size_t mbSize, size_t epoch, size_t requestedEpochSamples = requestDataSize); 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_traceLevel;
using SequenceReader<ElemType>::m_featureCount; using SequenceReader<ElemType>::m_featureCount;
using SequenceReader<ElemType>::m_endReached; using SequenceReader<ElemType>::m_endReached;
// using IDataReader<ElemType>::labelIn; // using IDataReader<ElemType>::labelIn;
// using IDataReader<ElemType>::labelOut; // using IDataReader<ElemType>::labelOut;
using SequenceReader<ElemType>::InitCache; using SequenceReader<ElemType>::InitCache;
using SequenceReader<ElemType>::m_readerConfig; using SequenceReader<ElemType>::m_readerConfig;
using SequenceReader<ElemType>::ReleaseMemory; using SequenceReader<ElemType>::ReleaseMemory;
@ -345,8 +345,8 @@ public:
using SequenceReader<ElemType>::m_featuresBufferRow; using SequenceReader<ElemType>::m_featuresBufferRow;
using SequenceReader<ElemType>::m_labelsBuffer; using SequenceReader<ElemType>::m_labelsBuffer;
using SequenceReader<ElemType>::m_labelsIdBuffer; using SequenceReader<ElemType>::m_labelsIdBuffer;
// using IDataReader<ElemType>::labelInfo; // using IDataReader<ElemType>::labelInfo;
// using SequenceReader<ElemType>::m_featuresBufferRowIndex; // using SequenceReader<ElemType>::m_featuresBufferRowIndex;
using SequenceReader<ElemType>::m_labelsIdBufferRow; using SequenceReader<ElemType>::m_labelsIdBufferRow;
using SequenceReader<ElemType>::m_labelsBlock2Id; using SequenceReader<ElemType>::m_labelsBlock2Id;
using SequenceReader<ElemType>::m_labelsBlock2UniqId; using SequenceReader<ElemType>::m_labelsBlock2UniqId;

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@ -349,7 +349,7 @@ bool SparseBinaryInput<ElemType>::Randomize()
return true; return true;
} }
return false; return false;
*/ */
} }
template <class ElemType> template <class ElemType>
@ -548,14 +548,14 @@ size_t SparseBinaryInput<ElemType>::ReadMinibatch(void* data_buffer, std::map<st
//fprintf(stderr, "start read minibatch.\n"); //fprintf(stderr, "start read minibatch.\n");
/* /*
size_t readSize = m_offsets[cur_batch + 1] - m_offsets[cur_batch]; 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.clear();
m_inFile.seekg(m_dataStart + m_offsets[cur_batch], ios::beg); m_inFile.seekg(m_dataStart + m_offsets[cur_batch], ios::beg);
m_inFile.read((char*)data_buffer, readSize); m_inFile.read((char*)data_buffer, readSize);
fprintf(stderr, "done reading data.\n"); fprintf(stderr, "done reading data.\n");
*/ */
int32_t nnz; int32_t nnz;
int32_t curMBSize; int32_t curMBSize;
@ -850,7 +850,7 @@ bool LibSVMBinaryReader<ElemType>::GetMinibatch(std::map<std::wstring, Matrix<El
timer = clock() - timer; timer = clock() - timer;
fprintf(stderr, "It took me %d clicks (%f seconds).\n", timer, ((float)timer) / CLOCKS_PER_SEC); fprintf(stderr, "It took me %d clicks (%f seconds).\n", timer, ((float)timer) / CLOCKS_PER_SEC);
*/ */
//fprintf(stderr, "done\n"); //fprintf(stderr, "done\n");
return true; return true;
} }