text stringlengths 0 2.2M |
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template <class ElemType>
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GPUSparseMatrix<ElemType>::GPUSparseMatrix(GPUSparseMatrix<ElemType>&& moveFrom)
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{
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}
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template <class ElemType>
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GPUSparseMatrix<ElemType>& GPUSparseMatrix<ElemType>::operator=(GPUSparseMatrix<ElemType>&& moveFrom)
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{
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return *this;
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}
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template <class ElemType>
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GPUSparseMatrix<ElemType>::~GPUSparseMatrix()
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{
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}
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//ResizeAsAndCopyIndexFrom - Resize this sparse matrix to have the same element structure as the passed matrix
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// a - sparse matrix whose structure we want to clone
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// remark: this was done for element wise operations where the structure will be identical after an operation
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::ResizeAsAndCopyIndexFrom(const GPUSparseMatrix<ElemType>& a, const bool growOnly /*= true*/)
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{
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}
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//-------------------------------------------------------------------------
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// Start of new GPU Sparse Matrix code
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//-------------------------------------------------------------------------
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::ClearNzCount()
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::Allocate(const size_t numRows, const size_t numCols, const size_t numNZElemToReserve, const bool growOnly, bool keepExistingValues)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::RequireSizeAndAllocate(const size_t numRows, const size_t numCols, const size_t numNZElemToReserve, const MatrixFormat matrixFormat, const bool growOnly, bool keepExistingValues)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::RequireSizeAndAllocate(const size_t numRows, const size_t numCols, const size_t numNZElemToReserve, const bool growOnly, bool keepExistingValues)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::RequireSize(const size_t numRows, const size_t numCols, const size_t numNZElemToReserve, const MatrixFormat format, const bool growOnly)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::RequireSize(const size_t numRows, const size_t numCols, const bool growOnly)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::Resize(const size_t numRows, const size_t numCols, const size_t numNZElemToReserve, const MatrixFormat matrixFormat, const bool growOnly)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::Resize(const size_t numRows, const size_t numCols, const size_t numNZElemToReserve, const bool growOnly)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::AdjustCol2BlockId(const GPUSPARSE_INDEX_TYPE* cpuCol2BlockId, size_t numBlocks, bool useBlockId2Col)
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{
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}
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template <class ElemType>
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GPUMatrix<ElemType> GPUSparseMatrix<ElemType>::CopyToDenseMatrix() const
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{
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GPUMatrix<ElemType> res(0);
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return res;
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::CopyToDenseMatrix(GPUMatrix<ElemType>& denseMatrix) const
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::CopyToCPUSparseMatrix(CPUSparseMatrix<ElemType>& cpuSparseMatrix) const
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::ChangeDeviceTo(DEVICEID_TYPE toId)
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{
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}
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template <class ElemType>
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template <class ElemType2>
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void GPUMatrix<ElemType>::CastAssignValuesOf(const GPUMatrix<ElemType2>* other)
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{
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}
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//Reset matrix so it can be reused
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::Reset()
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{
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}
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#pragma endregion Constructors and Destructor
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#pragma region Static BLAS Functions
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// copy features to GPU matrix
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