/*! \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_CSRMM_H #define ROCSPARSE_CSRMM_H #include "../../rocsparse-types.h" #include "rocsparse/rocsparse-export.h" #ifdef __cplusplus extern "C" { #endif /*! \ingroup level3_module * \brief Sparse matrix dense matrix multiplication using the CSR storage format. * * \details * \p rocsparse_csrmm multiplies the scalar \f$\alpha\f$ with a sparse \f$m \times k\f$ * matrix \f$A\f$, defined in CSR storage format, and the column-oriented dense \f$k \times n\f$ * matrix \f$B\f$ 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] * * \code{.c} * for(i = 0; i < ldc; ++i) * { * for(j = 0; j < n; ++j) * { * C[i][j] = beta * C[i][j]; * * for(k = csr_row_ptr[i]; k < csr_row_ptr[i + 1]; ++k) * { * C[i][j] += alpha * csr_val[k] * B[csr_col_ind[k]][j]; * } * } * } * \endcode * * \note * This function does not produce deterministic results when A is transposed. * * \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 sparse CSR matrix \f$A\f$. * @param[in] * n number of columns of the column-oriented dense matrix \f$op(B)\f$ and \f$C\f$. * @param[in] * k number of columns of the sparse CSR matrix \f$A\f$. * @param[in] * nnz number of non-zero entries of the sparse CSR matrix \f$A\f$. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse CSR matrix \f$A\f$. Currently, only * \ref rocsparse_matrix_type_general is supported. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix \f$A\f$. * @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$A\f$. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse * CSR matrix \f$A\f$. * @param[in] * B column-oriented dense matrix of dimension \f$ldb \times n\f$ (\f$op(B) == B\f$), * \f$ldb \times k\f$ otherwise. * @param[in] * ldb leading dimension of \f$B\f$, must be at least \f$\max{(1, k)}\f$ * (\f$op(B) == B\f$), \f$\max{(1, n)}\f$ otherwise. * @param[in] * beta scalar \f$\beta\f$. * @param[inout] * C column-oriented dense matrix of dimension \f$ldc \times n\f$. * @param[in] * ldc leading dimension of \f$C\f$, must be at least \f$\max{(1, m)}\f$ * (\f$op(A) == A\f$), \f$\max{(1, k)}\f$ otherwise. * * \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 ldb, or \p ldc * is invalid. * \retval rocsparse_status_invalid_pointer \p descr, \p alpha, \p csr_val, * \p csr_row_ptr, \p csr_col_ind, \p B, \p beta, or \p C pointer is invalid. * \retval rocsparse_status_arch_mismatch the device is not supported. * \retval rocsparse_status_not_implemented * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. * * \par Example * This example multiplies a CSR matrix with a column-oriented dense matrix. * \snippet example_rocsparse_csrmm.cpp doc example */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_scsrmm(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 rocsparse_mat_descr descr, const float* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, const float* B, rocsparse_int ldb, const float* beta, float* C, rocsparse_int ldc); ROCSPARSE_EXPORT rocsparse_status rocsparse_dcsrmm(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 rocsparse_mat_descr descr, const double* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, const double* B, rocsparse_int ldb, const double* beta, double* C, rocsparse_int ldc); ROCSPARSE_EXPORT rocsparse_status rocsparse_ccsrmm(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_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* B, rocsparse_int ldb, const rocsparse_float_complex* beta, rocsparse_float_complex* C, rocsparse_int ldc); ROCSPARSE_EXPORT rocsparse_status rocsparse_zcsrmm(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_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* B, rocsparse_int ldb, const rocsparse_double_complex* beta, rocsparse_double_complex* C, rocsparse_int ldc); /**@}*/ #ifdef __cplusplus } #endif #endif /* ROCSPARSE_CSRMM_H */