/*! \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_BSRXMV_H #define HIPSPARSE_BSRXMV_H #ifdef __cplusplus extern "C" { #endif #if(!defined(CUDART_VERSION) || CUDART_VERSION < 13000) /*! \ingroup level2_module * \brief Sparse matrix vector multiplication with mask operation using the BSR storage format. * * \details * \p hipsparseXbsrxmv multiplies the scalar \f$\alpha\f$ with a sparse * \f$(mb \times \text{blockDim}) \times (nb \times \text{blockDim})\f$ * modified matrix, defined in BSR storage format, and the dense vector \f$x\f$ and adds the * result to the dense vector \f$y\f$ that is multiplied by the scalar \f$\beta\f$, * such that * \f[ * y := \left( \alpha \cdot op(A) \cdot x + \beta \cdot y \right)\left( \text{mask} \right), * \f] * with * \f[ * op(A) = \left\{ * \begin{array}{ll} * A, & \text{if trans == HIPSPARSE_OPERATION_NON_TRANSPOSE} \\ * A^T, & \text{if trans == HIPSPARSE_OPERATION_TRANSPOSE} \\ * A^H, & \text{if trans == HIPSPARSE_OPERATION_CONJUGATE_TRANSPOSE} * \end{array} * \right. * \f] * * The \f$\text{mask}\f$ is defined as an array of block row indices. * The input sparse matrix is defined with a modified BSR storage format where the beginning and the end of each row * is defined with two arrays, \p bsrRowPtr and \p bsr_end_ptr (both of size \p mb), rather the usual \p bsrRowPtr of size \p mb+1. * * \note * This function is non-blocking and executed asynchronously with respect to the host. * It can return before the actual computation has finished. * * \note * Currently, only \p trans == \ref HIPSPARSE_OPERATION_NON_TRANSPOSE is supported, * and \p blockDim == 1 is not supported. * * \deprecated * This function is deprecated when using the CUDA backend (CUDA 12.0+) and will be * removed in CUDA 13.0. This deprecation does not apply to the ROCm backend. * * @param[in] * handle handle to the hipSPARSE library context queue. * @param[in] * dir matrix storage of BSR blocks. * @param[in] * trans matrix operation type. * @param[in] * sizeOfMask number of updated block rows of the array \p y. Must be non-negative and * not greater than \p mb. * @param[in] * mb number of block rows of the sparse BSR matrix. Must be non-negative. * @param[in] * nb number of block columns of the sparse BSR matrix. Must be non-negative. * @param[in] * nnzb number of non-zero blocks of the sparse BSR matrix. Must be non-negative. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse BSR matrix. Currently, only * \ref HIPSPARSE_MATRIX_TYPE_GENERAL is supported. * @param[in] * bsrVal array of \p nnzb blocks of the sparse BSR matrix. * @param[in] * bsrMaskPtr array of \p sizeOfMask elements that give the indices of the updated block rows. * @param[in] * bsrRowPtr array of \p mb elements that point to the start of every block row of * the sparse BSR matrix. * @param[in] * bsrEndPtr array of \p mb elements that point to the end of every block row of * the sparse BSR matrix. * @param[in] * bsrColInd array of \p nnzb elements containing the block column indices of the sparse * BSR matrix. * @param[in] * blockDim block dimension of the sparse BSR matrix. Must be greater than 1. * @param[in] * x array of \p nb*blockDim elements (\f$op(A) = A\f$) or \p mb*blockDim * elements (\f$op(A) = A^T\f$ or \f$op(A) = A^H\f$). * @param[in] * beta scalar \f$\beta\f$. * @param[inout] * y array of \p mb*blockDim elements (\f$op(A) = A\f$) or \p nb*blockDim * elements (\f$op(A) = A^T\f$ or \f$op(A) = A^H\f$). * * \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 alpha, or \p beta is nullptr, * \p mb, \p nb, \p nnzb, or \p sizeOfMask is negative, \p sizeOfMask is greater than \p mb, * \p blockDim is less than or equal to 1, or \p bsrVal, \p bsrMaskPtr, \p bsrRowPtr, * \p bsrEndPtr, \p bsrColInd, \p x, or \p y is nullptr. * \retval HIPSPARSE_STATUS_ARCH_MISMATCH the device is not supported. * \retval HIPSPARSE_STATUS_NOT_SUPPORTED \p trans is not \ref HIPSPARSE_OPERATION_NON_TRANSPOSE, * or \ref hipsparseMatrixType_t is not \ref HIPSPARSE_MATRIX_TYPE_GENERAL. */ /**@{*/ DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseSbsrxmv(hipsparseHandle_t handle, hipsparseDirection_t dir, hipsparseOperation_t trans, int sizeOfMask, int mb, int nb, int nnzb, const float* alpha, const hipsparseMatDescr_t descr, const float* bsrVal, const int* bsrMaskPtr, const int* bsrRowPtr, const int* bsrEndPtr, const int* bsrColInd, int blockDim, const float* x, const float* beta, float* y); DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseDbsrxmv(hipsparseHandle_t handle, hipsparseDirection_t dir, hipsparseOperation_t trans, int sizeOfMask, int mb, int nb, int nnzb, const double* alpha, const hipsparseMatDescr_t descr, const double* bsrVal, const int* bsrMaskPtr, const int* bsrRowPtr, const int* bsrEndPtr, const int* bsrColInd, int blockDim, const double* x, const double* beta, double* y); DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseCbsrxmv(hipsparseHandle_t handle, hipsparseDirection_t dir, hipsparseOperation_t trans, int sizeOfMask, int mb, int nb, int nnzb, const hipComplex* alpha, const hipsparseMatDescr_t descr, const hipComplex* bsrVal, const int* bsrMaskPtr, const int* bsrRowPtr, const int* bsrEndPtr, const int* bsrColInd, int blockDim, const hipComplex* x, const hipComplex* beta, hipComplex* y); DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13") HIPSPARSE_EXPORT hipsparseStatus_t hipsparseZbsrxmv(hipsparseHandle_t handle, hipsparseDirection_t dir, hipsparseOperation_t trans, int sizeOfMask, int mb, int nb, int nnzb, const hipDoubleComplex* alpha, const hipsparseMatDescr_t descr, const hipDoubleComplex* bsrVal, const int* bsrMaskPtr, const int* bsrRowPtr, const int* bsrEndPtr, const int* bsrColInd, int blockDim, const hipDoubleComplex* x, const hipDoubleComplex* beta, hipDoubleComplex* y); /**@}*/ #endif #ifdef __cplusplus } #endif #endif /* HIPSPARSE_BSRXMV_H */