text stringlengths 0 2.2M |
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// PrepareBuffer - Get the dimensions start buffer, computes the starting row/column of each value
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// m - rows in the source
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// n - cols in the source
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// canReuseBuffer - target matrix can be reused for temporary space
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// func - function to call to count elements in the result (returns count, and fills csrRowPtr array)
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::PrepareBuffer(size_t m, size_t n, bool canReuseBuffer, std::function<size_t(int* csrRowPtrC)> func)
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{
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}
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// Multiply - multiply one spares matrix by another sparse matrix
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// S1 - first sparse matrix
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// transposeS1 - transpose first matrix?
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// S2 - second sparse matrix
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// transposeS2 - tanspose second matrix?
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// c - result matrix
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// NOTE: if c has enough space allocated, it will be reused, otherwise it will be freed and a new memory block used
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::Multiply(const GPUSparseMatrix<ElemType>& S1, bool transposeS1, const GPUSparseMatrix<ElemType>& S2, bool transposeS2, GPUSparseMatrix<ElemType>& c)
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{
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}
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template <class ElemType>
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GPUSparseMatrix<ElemType>& GPUSparseMatrix<ElemType>::AssignProductOf(const GPUSparseMatrix<ElemType>& a, const bool transposeA, const GPUSparseMatrix<ElemType>& /*b*/, const bool transposeB)
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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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void GPUSparseMatrix<ElemType>::ScaleAndAdd(ElemType alpha, const GPUSparseMatrix<ElemType>& a, ElemType beta, const GPUSparseMatrix<ElemType>& /*b*/, GPUSparseMatrix<ElemType>& c)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::ScaleAndAdd(ElemType alpha, const GPUSparseMatrix<ElemType>& a, ElemType beta, const GPUMatrix<ElemType>& /*b*/, GPUMatrix<ElemType>& c)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::ScaleAndAdd(ElemType alpha, const GPUMatrix<ElemType>& /*a*/, ElemType beta, const GPUSparseMatrix<ElemType>& /*b*/, GPUMatrix<ElemType>& c)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::Scale(ElemType alpha, GPUSparseMatrix<ElemType>& a)
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{
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::ElementWisePower(ElemType alpha, const GPUSparseMatrix<ElemType>& a, GPUSparseMatrix<ElemType>& c)
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{
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}
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template <class ElemType>
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ElemType GPUSparseMatrix<ElemType>::InnerProductOfMatrices(const GPUSparseMatrix<ElemType>& a, const GPUMatrix<ElemType>& /*b*/)
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{
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return ElemType(0);
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}
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template <class ElemType>
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ElemType GPUSparseMatrix<ElemType>::InnerProductOfMatrices(const GPUMatrix<ElemType>& /*a*/, const GPUSparseMatrix<ElemType>& /*b*/)
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{
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return ElemType(0);
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}
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template <class ElemType>
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void GPUSparseMatrix<ElemType>::InnerProduct(const GPUSparseMatrix<ElemType>&, const GPUMatrix<ElemType>&, GPUMatrix<ElemType>&, const bool)
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{
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}
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template <class ElemType>
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bool GPUSparseMatrix<ElemType>::AreEqual(const GPUSparseMatrix<ElemType>& a, const GPUSparseMatrix<ElemType>& /*b*/,
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const ElemType threshold)
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{
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return false;
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}
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template <class ElemType>
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bool GPUSparseMatrix<ElemType>::AreEqual(const GPUMatrix<ElemType>& /*a*/, const GPUSparseMatrix<ElemType>& /*b*/,
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const ElemType threshold)
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{
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return false;
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}
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template <class ElemType>
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bool GPUSparseMatrix<ElemType>::AreEqual(const GPUSparseMatrix<ElemType>& a, const GPUMatrix<ElemType>& /*b*/,
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const ElemType threshold)
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{
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return false;
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}
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template <class ElemType>
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bool GPUSparseMatrix<ElemType>::IsEqualTo(const GPUSparseMatrix<ElemType>& a, const ElemType threshold) const
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{
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return false;
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}
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template <class ElemType>
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bool GPUSparseMatrix<ElemType>::IsEqualTo(const GPUMatrix<ElemType>& /*a*/, const ElemType threshold) const
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{
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