text stringlengths 0 2.2M |
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void GPUMatrix<ElemType>::Clear()
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{
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}
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#pragma endregion Constructors and Destructor
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#pragma region Basic Operators
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template <class ElemType>
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GPUMatrix<ElemType> GPUMatrix<ElemType>::ColumnSlice(size_t startColumn, size_t numCols) const
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{
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GPUMatrix<ElemType> slice(0);
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return slice;
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}
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignColumnSlice(const GPUMatrix<ElemType>& fromMatrix, size_t startColumn, size_t numCols)
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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>::SetColumnSlice(const GPUMatrix<ElemType>& fromMatrix, size_t startColumn, size_t numCols)
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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>::Diagonal() const
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{
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GPUMatrix<ElemType> diag(0);
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return diag;
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}
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//for each column of a, we assign numRows starting from startIndex to this
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignRowSliceValuesOf(const GPUMatrix<ElemType>& /*a*/, const size_t startIndex, const size_t numRows)
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{
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return *this;
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}
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//for each column of a, we assign all rows of a to this starting from startIndex
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignToRowSliceValuesOf(const GPUMatrix<ElemType>& a, const size_t startIndex, const size_t numRows)
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{
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return *this;
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}
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//for each column of a, we add all rows of a to this starting from startIndex
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AddToRowSliceValuesOf(const GPUMatrix<ElemType>& /*a*/, const size_t startIndex, const size_t numRows)
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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>::AddWithRowSliceValuesOf(const GPUMatrix<ElemType>& /*a*/, const size_t startIndex, const size_t numRows)
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{
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return *this;
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}
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//template<class ElemType> GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignRowStackValuesOf(const std::vector<const GPUMatrix<ElemType>*>& inputMatrices, const size_t sliceStartCol, const size_t sliceNumCols) { return *this; }
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignRepeatOf(const GPUMatrix<ElemType>& /*a*/, const size_t numRowRepeats, const size_t numColRepeats)
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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>::AddToRowRepeatValuesOf(const GPUMatrix<ElemType>& /*a*/, const size_t numRowRepeats)
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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>::AssignPositiveAndShiftedNegSample(const GPUMatrix<ElemType>& a, const size_t posNumber, const size_t negNumber, const size_t shiftNumber)
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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>::AddFoldedPositiveAndShiftedNegSample(const GPUMatrix<ElemType>& a, const size_t posNumber, const size_t negNumber, const size_t shiftNumber)
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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>::Transpose() const
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{
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return *this;
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}
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// GetCublasHandle - get a cublas handle for the given GPU, should only need one per GPU
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// computeDevice - The compute device for which the cublas handle is desired
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// returns: cublas handle
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// NOTE: we currently don't bother to ever free the CUBLAS handle, it will be freed automatically by CUDA when the process ends
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template <class ElemType>
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cublasHandle_t GPUMatrix<ElemType>::GetCublasHandle(int computeDevice /*=-1*/)
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{
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cublasHandle_t cuHandle = 0;
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return cuHandle;
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}
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template <class ElemType>
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GPUMatrix<ElemType>& GPUMatrix<ElemType>::AssignTransposeOf(const GPUMatrix<ElemType>& /*a*/)
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{
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return *this;
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