/*! \file */ /* ************************************************************************ * Copyright (C) 2025 Advanced Micro Devices, Inc. All rights Reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. * * ************************************************************************ */ #ifndef HIPSPARSE_CSC2DENSE_H #define HIPSPARSE_CSC2DENSE_H #ifdef __cplusplus extern "C" { #endif #if(!defined(CUDART_VERSION) || CUDART_VERSION < 12000) /*! \ingroup conv_module * \brief * \p hipsparseXcsc2dense functions convert the sparse matrix in CSC format into a dense matrix. * * \details * Given the input CSC matrix of size \p mxn, the routine writes the matrix to the dense array \p A such * that \p A has leading dimension \p ld and is column ordered. This means that \p A has size \p ldxn where * \p ld>=m. All the parameters are assumed to have been preallocated by the user. If the input CSC matrix * has index base of one, it must be set in the \ref hipsparseMatDescr_t. See \ref hipsparseSetMatIndexBase() * prior to calling \p hipsparseXcsc2dense. * * For example, consider the sparse CSC matrix: * \f[ * \begin{align} * \text{cscRowInd} &= \begin{bmatrix} 0 & 1 & 2 & 1 & 2 & 0 & 2 \end{bmatrix} \\ * \text{cscColPtr} &= \begin{bmatrix} 0 & 3 & 4 & 5 & 7 \end{bmatrix} \\ * \text{cscVal} &= \begin{bmatrix} 1 & 3 & 5 & 4 & 6 & 2 & 7 \end{bmatrix} \\ * \end{align} * \f] * * \p hipsparseXcsc2dense is used to convert to the dense matrix: * \f[ * \begin{bmatrix} * 1 & 0 & 0 & 2 \\ * 3 & 4 & 0 & 0 \\ * 5 & 0 & 6 & 7 * \end{bmatrix} * \f] * * where the values in the \p A array are column ordered: * \f[ * \text{A} &= \begin{bmatrix} 1 & 3 & 5 & 0 & 4 & 0 & 0 & 0 & 6 & 2 & 0 & 7 \end{bmatrix} \\ * \f] * * \note * This function is executed asynchronously with respect to the host and can return control to the application * on the host before the entire result is ready. * * \deprecated * This function is deprecated when using the CUDA backend (CUDA 11.0+) and will be * removed in CUDA 12.0. This deprecation does not apply to the ROCm backend. * * @param[in] * handle handle to the hipSPARSE library context queue. * @param[in] * m number of rows of the dense matrix \p A. Must be non-negative. * @param[in] * n number of columns of the dense matrix \p A. Must be non-negative. * @param[in] * descr the descriptor of the dense matrix \p A. The supported matrix type is \ref HIPSPARSE_MATRIX_TYPE_GENERAL and * any valid value of the \ref hipsparseIndexBase_t. * @param[in] * cscVal array of nnz ( = \p cscColPtr[n] - \p cscColPtr[0] ) non-zero elements of matrix \p A. * @param[in] * cscRowInd integer array of nnz ( = \p cscColPtr[n] - \p cscColPtr[0] ) column indices of the non-zero elements of matrix \p A. * @param[in] * cscColPtr integer array of \p n+1 elements that contains the start of every column and the end of the last column plus one. * @param[out] * A array of dimensions (\p ld, \p n). * @param[in] * ld leading dimension of dense array \p A. Must be at least \p m. * * \retval HIPSPARSE_STATUS_SUCCESS the operation completed successfully. * \retval HIPSPARSE_STATUS_NOT_INITIALIZED \p handle is not initialized. * \retval HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p descr, \p cscVal, \p cscColPtr, * \p cscRowInd, or \p A is nullptr, \p m or \p n is negative, or \p ld is invalid. */ /**@{*/ DEPRECATED_CUDA_11000("The routine will be removed in CUDA 12") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseScsc2dense(hipsparseHandle_t handle, int m, int n, const hipsparseMatDescr_t descr, const float* cscVal, const int* cscRowInd, const int* cscColPtr, float* A, int ld); DEPRECATED_CUDA_11000("The routine will be removed in CUDA 12") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseDcsc2dense(hipsparseHandle_t handle, int m, int n, const hipsparseMatDescr_t descr, const double* cscVal, const int* cscRowInd, const int* cscColPtr, double* A, int ld); DEPRECATED_CUDA_11000("The routine will be removed in CUDA 12") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseCcsc2dense(hipsparseHandle_t handle, int m, int n, const hipsparseMatDescr_t descr, const hipComplex* cscVal, const int* cscRowInd, const int* cscColPtr, hipComplex* A, int ld); DEPRECATED_CUDA_11000("The routine will be removed in CUDA 12") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseZcsc2dense(hipsparseHandle_t handle, int m, int n, const hipsparseMatDescr_t descr, const hipDoubleComplex* cscVal, const int* cscRowInd, const int* cscColPtr, hipDoubleComplex* A, int ld); /**@}*/ #endif #ifdef __cplusplus } #endif #endif /* HIPSPARSE_CSC2DENSE_H */