/*! \file */ /* ************************************************************************ * Copyright (C) 2023-2024 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 ROCSPARSE_GEMMI_H #define ROCSPARSE_GEMMI_H #include "../../rocsparse-types.h" #include "rocsparse/rocsparse-export.h" #ifdef __cplusplus extern "C" { #endif /*! \ingroup level3_module * \brief Dense matrix sparse matrix multiplication using the CSR storage format. * * \details * \p rocsparse_gemmi multiplies the scalar \f$\alpha\f$ with a column-oriented dense \f$m \times k\f$ * matrix \f$op(A)\f$ and the sparse \f$k \times n\f$ matrix \f$op(B)\f$, defined in CSR * storage format, and adds the result to the column-oriented dense \f$m \times n\f$ matrix \f$C\f$ that * is multiplied by the scalar \f$\beta\f$, such that * \f[ * C := \alpha \cdot op(A) \cdot op(B) + \beta \cdot C * \f] * with * \f[ * op(A) = \left\{ * \begin{array}{ll} * A, & \text{if trans_A == rocsparse_operation_none} \\ * A^T, & \text{if trans_A == rocsparse_operation_transpose} \\ * A^H, & \text{if trans_A == rocsparse_operation_conjugate_transpose} * \end{array} * \right. * \f] * and * \f[ * op(B) = \left\{ * \begin{array}{ll} * B, & \text{if trans_B == rocsparse_operation_none} \\ * B^T, & \text{if trans_B == rocsparse_operation_transpose} \\ * B^H, & \text{if trans_B == rocsparse_operation_conjugate_transpose} * \end{array} * \right. * \f] * * \note * Currently, only \p trans_A == \ref rocsparse_operation_none is supported. * * \note * Currently, only \p trans_B == \ref rocsparse_operation_transpose is supported. * * \note * This function is non-blocking and executed asynchronously with respect to the host. * It can return before the actual computation has finished. * * \note * This routine supports execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * trans_A matrix \f$A\f$ operation type. * @param[in] * trans_B matrix \f$B\f$ operation type. * @param[in] * m number of rows of the column-oriented dense matrix \f$A\f$. * @param[in] * n number of columns of the sparse CSR matrix \f$op(B)\f$ and \f$C\f$. * @param[in] * k number of columns of the column-oriented dense matrix \f$A\f$. * @param[in] * nnz number of non-zero entries of the sparse CSR matrix \f$B\f$. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * A array of dimension \f$lda \times k\f$ (\f$op(A) == A\f$) or * \f$lda \times m\f$ (\f$op(A) == A^T\f$ or \f$op(A) == A^H\f$). * @param[in] * lda leading dimension of \f$A\f$, must be at least \f$m\f$ * (\f$op(A) == A\f$) or \f$k\f$ (\f$op(A) == A^T\f$ or * \f$op(A) == A^H\f$). * @param[in] * descr descriptor of the sparse CSR matrix \f$B\f$. Currently, only * \ref rocsparse_matrix_type_general is supported. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix \f$B\f$. * @param[in] * csr_row_ptr array of \p m+1 elements that point to the start of every row of the * sparse CSR matrix \f$B\f$. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse CSR * matrix \f$B\f$. * @param[in] * beta scalar \f$\beta\f$. * @param[inout] * C column-oriented dense matrix of dimension \f$ldc \times n\f$ that holds the values of \f$C\f$. * @param[in] * ldc leading dimension of \f$C\f$, must be at least \f$m\f$. * * \retval rocsparse_status_success the operation completed successfully. * \retval rocsparse_status_invalid_handle the library context was not initialized. * \retval rocsparse_status_invalid_size \p m, \p n, \p k, \p nnz, \p lda, or \p ldc * is invalid. * \retval rocsparse_status_invalid_pointer \p alpha, \p A, \p csr_val, * \p csr_row_ptr, \p csr_col_ind, \p beta, or \p C pointer is invalid. * * \par Example * This example multiplies a column-oriented dense matrix with a CSC matrix. * \snippet example_rocsparse_gemmi.cpp doc example */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_sgemmi(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int n, rocsparse_int k, rocsparse_int nnz, const float* alpha, const float* A, rocsparse_int lda, const rocsparse_mat_descr descr, const float* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, const float* beta, float* C, rocsparse_int ldc); ROCSPARSE_EXPORT rocsparse_status rocsparse_dgemmi(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int n, rocsparse_int k, rocsparse_int nnz, const double* alpha, const double* A, rocsparse_int lda, const rocsparse_mat_descr descr, const double* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, const double* beta, double* C, rocsparse_int ldc); ROCSPARSE_EXPORT rocsparse_status rocsparse_cgemmi(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int n, rocsparse_int k, rocsparse_int nnz, const rocsparse_float_complex* alpha, const rocsparse_float_complex* A, rocsparse_int lda, const rocsparse_mat_descr descr, const rocsparse_float_complex* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, const rocsparse_float_complex* beta, rocsparse_float_complex* C, rocsparse_int ldc); ROCSPARSE_EXPORT rocsparse_status rocsparse_zgemmi(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int n, rocsparse_int k, rocsparse_int nnz, const rocsparse_double_complex* alpha, const rocsparse_double_complex* A, rocsparse_int lda, const rocsparse_mat_descr descr, const rocsparse_double_complex* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, const rocsparse_double_complex* beta, rocsparse_double_complex* C, rocsparse_int ldc); /**@}*/ #ifdef __cplusplus } #endif #endif /* ROCSPARSE_GEMMI_H */