Missing tabs-to-spaces conversion
This commit is contained in:
Mark Hillebrand
Родитель
6c5aa5809e
Коммит
f1c3232024
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@ -148,7 +148,7 @@ template void DoCreateLabelMap<double>(const ConfigParameters& config);
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// 1) modelPath -- path to the existing model
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// 2) outputmodelPath -- where to write the transformed model
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// 3) KeepRatio -- how many percentage of energy we want to keep
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// 4) AlignedSize -- the resultant number of signular values is aligned to e.g., 32 or 64
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// 4) AlignedSize -- the resultant number of signular values is aligned to e.g., 32 or 64
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// 5) ParameterName -- name (regex) of the parameter node we want to perform a SVD decomposition
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//
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//////////////////////////////////////////////////////////////////////////
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@ -4481,7 +4481,7 @@ GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignElementProductOfWithShiftNeg(con
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if (do_sync)
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CUDA_CALL(cudaEventCreate(&done));
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_assignElementProductOfWithShiftNeg<ElemType><<<block_tail, thread_tail, 0, t_stream>>>(m_pArray, a.m_pArray, b.m_pArray, shift, nt + 1, BS);
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// _assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
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// _assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
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if (do_sync)
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CUDA_CALL(cudaEventRecord(done));
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@ -4556,7 +4556,7 @@ GPUMatrix<ElemType>& GPUMatrix<ElemType>::GetARowByIndex(const GPUMatrix<ElemTyp
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if (do_sync)
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CUDA_CALL(cudaEventCreate(&done));
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_getARowByIndex<ElemType><<<blocksPerGrid, GridDim::maxThreadsPerBlock, 0, t_stream>>>(m_pArray, a.m_pArray, n, P, m);
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// _assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
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// _assignElementProductOf<ElemType> << <block_tail, thread_tail, 0, t_stream >> >(m_pArray, a.m_pArray, b.m_pArray, nt);
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if (do_sync)
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CUDA_CALL(cudaEventRecord(done));
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@ -423,12 +423,12 @@ struct latticefunctionskernels
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pathscore0 += getlogtransp(transP,-1,0) + logLLs(senoneid0,ts);
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pathscore2 += getlogtransp(transP,-1,2) + logLLs(senoneid2,ts);
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}
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else //for others, only -1 to 0 is permitted
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{
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pathscore0 += getlogtransp(transP, -1, 0) + logLLs(senoneid0, ts);
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pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);
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else //for others, only -1 to 0 is permitted
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{
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pathscore0 += getlogtransp(transP, -1, 0) + logLLs(senoneid0, ts);
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pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);
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}*/
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}*/
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pathscore2 += getlogtransp(transP, -1, 2) + logLLs(senoneid2, ts);
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pathscore1 += getlogtransp(transP, -1, 1) + logLLs(senoneid1, ts);
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//state1stepm1to1 = ts;
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@ -282,7 +282,7 @@ public:
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delete m_labelsIdBufferRow;
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delete m_labelsBlock2Id;
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delete m_labelsBlock2UniqId;
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*/
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*/
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}
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virtual ~SequenceReader();
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virtual void StartMinibatchLoop(size_t mbSize, size_t epoch, size_t requestedEpochSamples = requestDataSize);
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@ -336,8 +336,8 @@ public:
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using SequenceReader<ElemType>::m_traceLevel;
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using SequenceReader<ElemType>::m_featureCount;
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using SequenceReader<ElemType>::m_endReached;
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// using IDataReader<ElemType>::labelIn;
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// using IDataReader<ElemType>::labelOut;
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// using IDataReader<ElemType>::labelIn;
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// using IDataReader<ElemType>::labelOut;
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using SequenceReader<ElemType>::InitCache;
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using SequenceReader<ElemType>::m_readerConfig;
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using SequenceReader<ElemType>::ReleaseMemory;
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@ -345,8 +345,8 @@ public:
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using SequenceReader<ElemType>::m_featuresBufferRow;
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using SequenceReader<ElemType>::m_labelsBuffer;
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using SequenceReader<ElemType>::m_labelsIdBuffer;
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// using IDataReader<ElemType>::labelInfo;
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// using SequenceReader<ElemType>::m_featuresBufferRowIndex;
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// using IDataReader<ElemType>::labelInfo;
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// using SequenceReader<ElemType>::m_featuresBufferRowIndex;
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using SequenceReader<ElemType>::m_labelsIdBufferRow;
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using SequenceReader<ElemType>::m_labelsBlock2Id;
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using SequenceReader<ElemType>::m_labelsBlock2UniqId;
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@ -349,7 +349,7 @@ bool SparseBinaryInput<ElemType>::Randomize()
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return true;
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}
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return false;
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*/
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*/
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}
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template <class ElemType>
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@ -548,14 +548,14 @@ size_t SparseBinaryInput<ElemType>::ReadMinibatch(void* data_buffer, std::map<st
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//fprintf(stderr, "start read minibatch.\n");
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/*
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size_t readSize = m_offsets[cur_batch + 1] - m_offsets[cur_batch];
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void* data_buffer = GetTempDataPointer(readSize);
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void* data_buffer = GetTempDataPointer(readSize);
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fprintf(stderr, "start reading data.\n");
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fprintf(stderr, "start reading data.\n");
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m_inFile.clear();
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m_inFile.seekg(m_dataStart + m_offsets[cur_batch], ios::beg);
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m_inFile.read((char*)data_buffer, readSize);
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fprintf(stderr, "done reading data.\n");
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*/
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m_inFile.read((char*)data_buffer, readSize);
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fprintf(stderr, "done reading data.\n");
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*/
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int32_t nnz;
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int32_t curMBSize;
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@ -850,7 +850,7 @@ bool LibSVMBinaryReader<ElemType>::GetMinibatch(std::map<std::wstring, Matrix<El
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timer = clock() - timer;
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fprintf(stderr, "It took me %d clicks (%f seconds).\n", timer, ((float)timer) / CLOCKS_PER_SEC);
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*/
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*/
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//fprintf(stderr, "done\n");
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return true;
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}
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