text stringlengths 0 2.2M |
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignVectorNormInfOf(GPUMatrix<ElemType>& /*a*/, const bool isColWise)
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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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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignInnerProductOf(const GPUMatrix<ElemType>& /*a*/, const GPUMatrix<ElemType>& /*b*/, const bool isColWise)
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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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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignKhatriRaoProductOf(const GPUMatrix<ElemType>& /*a*/, const GPUMatrix<ElemType>& /*b*/)
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{
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return *this;
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}
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//column-wise reshaped product. Used to compute KhatriRaoProduct Gradient
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// this = reshape each column of a from (K1xK2,1) to (K1, K2)
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// if each column of a is not transposed, each (K1, K2) times each column of b (K2, frames).
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// the output is a (K1, frames) matrix
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// if each column of a is tranposed, each (K1, K2)^T times each column of b(K1, frames) and output is (K2, frames)
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AddColumnReshapeProductOf(const GPUMatrix<ElemType>& /*a*/, const GPUMatrix<ElemType>& /*b*/, const bool transposeAColumn)
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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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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AddWithScaleOf(ElemType alpha, const GPUMatrix<ElemType>& /*a*/)
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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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ElemType GPUMatrix<ElemType>::FrobeniusNorm() const
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{
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ElemType h_sum = 0;
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return (h_sum);
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}
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignFrobeniusNormOf(const GPUMatrix<ElemType>& /*a*/)
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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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ElemType GPUMatrix<ElemType>::MatrixNormInf() const
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{
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ElemType h_maxAbs = 0;
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return h_maxAbs;
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}
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template <class ElemType>
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ElemType GPUMatrix<ElemType>::MatrixNorm1() const
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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 GPUMatrix<ElemType>::MatrixNorm0() const
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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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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignSignOf(const GPUMatrix<ElemType>& /*a*/)
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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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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AddSignOf(const GPUMatrix<ElemType>& /*a*/)
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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 GPUMatrix<ElemType>::VectorMax(GPUMatrix<ElemType>& maxIndexes, GPUMatrix<ElemType>& maxValues, const bool isColWise) const
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{
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}
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template <class ElemType>
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void GPUMatrix<ElemType>::VectorMax(GPUMatrix<ElemType>& maxIndexes, GPUMatrix<ElemType>& maxValues, const bool isColWise, int topK) const
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{
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}
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template <class ElemType>
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void GPUMatrix<ElemType>::VectorMin(GPUMatrix<ElemType>& minIndexes, GPUMatrix<ElemType>& minValues, const bool isColWise) const
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{
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}
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignNumOfDiff(const GPUMatrix<ElemType>& /*a*/, const GPUMatrix<ElemType>& /*b*/, bool /*searchInCol = false*/)
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{
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return *this;
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}
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