/*! \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_CSRSM_H #define ROCSPARSE_CSRSM_H #include "../../rocsparse-types.h" #include "rocsparse/rocsparse-export.h" #ifdef __cplusplus extern "C" { #endif /*! \ingroup level3_module * \details * \p rocsparse_csrsm_zero_pivot returns \ref rocsparse_status_zero_pivot if either a * structural or numerical zero has been found during * \ref rocsparse_scsrsm_solve "rocsparse_Xcsrsm_solve()" computation. The first zero * pivot \f$j\f$ at \f$A_{j,j}\f$ is stored in \p position, using the same index base as * the CSR matrix. * * \p position can be in host or device memory. If no zero pivot has been found, * \p position is set to -1 and \ref rocsparse_status_success is returned instead. * * \note \p rocsparse_csrsm_zero_pivot is a blocking function. It might negatively influence * performance. * * \note * This routine does not support execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * info structure that holds the information collected during the analysis step. * @param[inout] * position pointer to zero pivot \f$j\f$, which can be in host or device memory. * * \retval rocsparse_status_success the operation completed successfully. * \retval rocsparse_status_invalid_handle the library context was not initialized. * \retval rocsparse_status_invalid_pointer \p info or \p position pointer is * invalid. * \retval rocsparse_status_internal_error an internal error occurred. * \retval rocsparse_status_zero_pivot zero pivot has been found. */ ROCSPARSE_EXPORT rocsparse_status rocsparse_csrsm_zero_pivot(rocsparse_handle handle, rocsparse_mat_info info, rocsparse_int* position); /*! \ingroup level3_module * \details * \p rocsparse_csrsm_buffer_size returns the size of the temporary storage buffer that * is required by \ref rocsparse_scsrsm_analysis "rocsparse_Xcsrsm_analysis()" and * \ref rocsparse_scsrsm_solve "rocsparse_Xcsrsm_solve()". The temporary storage buffer * must be allocated by the user. * * \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 A operation type. * @param[in] * trans_B matrix B operation type. * @param[in] * m number of rows of the sparse CSR matrix A. * @param[in] * nrhs number of columns of the column-oriented dense matrix op(B). * @param[in] * nnz number of non-zero entries of the sparse CSR matrix A. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse CSR matrix A. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix A. * @param[in] * csr_row_ptr array of \p m+1 elements that point to the start of every row of the * sparse CSR matrix A. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse * CSR matrix A. * @param[in] * B column-oriented dense matrix of dimension \p m \f$\times\f$ \p nrhs elements of the rhs matrix B. * @param[in] * ldb leading dimension of rhs matrix B. * @param[in] * info structure that holds the information collected during the analysis step. * @param[in] * policy \ref rocsparse_solve_policy_auto. * @param[out] * buffer_size number of bytes of the temporary storage buffer required by * rocsparse_scsrsm_analysis(), rocsparse_dcsrsm_analysis(), * rocsparse_ccsrsm_analysis(), rocsparse_zcsrsm_analysis(), * rocsparse_scsrsm_solve(), rocsparse_dcsrsm_solve(), * rocsparse_ccsrsm_solve(), and rocsparse_zcsrsm_solve(). * * \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 nrhs, or \p nnz is invalid. * \retval rocsparse_status_invalid_pointer \p alpha, \p descr, \p csr_val, * \p csr_row_ptr, \p csr_col_ind, \p B, \p info, or \p buffer_size pointer * is invalid. * \retval rocsparse_status_internal_error an internal error occurred. * \retval rocsparse_status_not_implemented * \p trans_A == \ref rocsparse_operation_conjugate_transpose, * \p trans_B == \ref rocsparse_operation_conjugate_transpose, or * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_scsrsm_buffer_size(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_solve_policy policy, size_t* buffer_size); ROCSPARSE_EXPORT rocsparse_status rocsparse_dcsrsm_buffer_size(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_solve_policy policy, size_t* buffer_size); ROCSPARSE_EXPORT rocsparse_status rocsparse_ccsrsm_buffer_size(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_solve_policy policy, size_t* buffer_size); ROCSPARSE_EXPORT rocsparse_status rocsparse_zcsrsm_buffer_size(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_solve_policy policy, size_t* buffer_size); /**@}*/ /*! \ingroup level3_module * \details * \p rocsparse_csrsm_analysis performs the analysis step for * \ref rocsparse_scsrsm_solve "rocsparse_Xcsrsm_solve()". It is expected that this * function will be executed only once for a given matrix and particular operation * type. The analysis metadata can be cleared by \ref rocsparse_csrsm_clear(). * * \p rocsparse_csrsm_analysis can share its meta data with * \ref rocsparse_scsrilu0_analysis "rocsparse_Xcsrilu0_analysis()", * \ref rocsparse_scsric0_analysis "rocsparse_Xcsric0_analysis()", and * \ref rocsparse_scsrsv_analysis "rocsparse_Xcsrsv_analysis()". Selecting * \ref rocsparse_analysis_policy_reuse policy can greatly improve computation * performance of the metadata. However, the user needs to ensure that the sparsity * pattern remains unchanged. If this cannot be assured, * \ref rocsparse_analysis_policy_force has to be used. * * \note * If the matrix sparsity pattern changes, the gathered information will become invalid. * * \note * This function is blocking with respect to the host. * * \note * This routine does not support execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * trans_A matrix A operation type. * @param[in] * trans_B matrix B operation type. * @param[in] * m number of rows of the sparse CSR matrix A. * @param[in] * nrhs number of columns of the column-oriented dense matrix op(B). * @param[in] * nnz number of non-zero entries of the sparse CSR matrix A. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse CSR matrix A. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix A. * @param[in] * csr_row_ptr array of \p m+1 elements that point to the start of every row of the * sparse CSR matrix A. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse * CSR matrix A. * @param[in] * B column-oriented dense matrix of dimension \p m \f$\times\f$ \p nrhs elements of the rhs matrix B. * @param[in] * ldb leading dimension of rhs matrix B. * @param[out] * info structure that holds the information collected during the analysis step. * @param[in] * analysis \ref rocsparse_analysis_policy_reuse or * \ref rocsparse_analysis_policy_force. * @param[in] * solve \ref rocsparse_solve_policy_auto. * @param[in] * temp_buffer temporary storage buffer allocated by the user. * * \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 nrhs, or \p nnz is invalid. * \retval rocsparse_status_invalid_pointer \p alpha, \p descr, \p csr_val, * \p csr_row_ptr, \p csr_col_ind, \p B, \p info, or \p temp_buffer pointer * is invalid. * \retval rocsparse_status_internal_error an internal error occurred. * \retval rocsparse_status_not_implemented * \p trans_A == \ref rocsparse_operation_conjugate_transpose, * \p trans_B == \ref rocsparse_operation_conjugate_transpose, or * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_scsrsm_analysis(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_analysis_policy analysis, rocsparse_solve_policy solve, void* temp_buffer); ROCSPARSE_EXPORT rocsparse_status rocsparse_dcsrsm_analysis(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_analysis_policy analysis, rocsparse_solve_policy solve, void* temp_buffer); ROCSPARSE_EXPORT rocsparse_status rocsparse_ccsrsm_analysis(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_analysis_policy analysis, rocsparse_solve_policy solve, void* temp_buffer); ROCSPARSE_EXPORT rocsparse_status rocsparse_zcsrsm_analysis(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_mat_info info, rocsparse_analysis_policy analysis, rocsparse_solve_policy solve, void* temp_buffer); /**@}*/ /*! \ingroup level3_module * \details * \p rocsparse_csrsm_clear deallocates all memory that was allocated by * \ref rocsparse_scsrsm_analysis "rocsparse_Xcsrsm_analysis()". This is especially * useful if memory is an issue and the analysis data is not required for further * computation, for example, when switching to another sparse matrix format. Calling * \p rocsparse_csrsm_clear is optional. All allocated resources will be cleared * when the opaque \ref rocsparse_mat_info struct is destroyed using * \ref rocsparse_destroy_mat_info(). * * \note * This routine does not support execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[inout] * info structure that holds the information collected during the analysis step. * * \retval rocsparse_status_success the operation completed successfully. * \retval rocsparse_status_invalid_handle the library context was not initialized. * \retval rocsparse_status_invalid_pointer \p info pointer is invalid. * \retval rocsparse_status_memory_error the buffer holding the metadata could not * be deallocated. * \retval rocsparse_status_internal_error an internal error occurred. */ ROCSPARSE_EXPORT rocsparse_status rocsparse_csrsm_clear(rocsparse_handle handle, rocsparse_mat_info info); /*! \ingroup level3_module * \brief Sparse triangular system solve using the CSR storage format. * * \details * \p rocsparse_csrsm_solve solves a sparse triangular linear system of a sparse * \f$m \times m\f$ matrix, defined in CSR storage format, a column-oriented dense solution matrix * \f$X\f$ and the column-oriented dense right-hand side matrix \f$B\f$ that is multiplied by \f$\alpha\f$, such that * \f[ * op(A) \cdot op(X) = \alpha \cdot op(B), * \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] * , * \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] * and * \f[ * op(X) = \left\{ * \begin{array}{ll} * X, & \text{if trans_B == rocsparse_operation_none} \\ * X^T, & \text{if trans_B == rocsparse_operation_transpose} \\ * X^H, & \text{if trans_B == rocsparse_operation_conjugate_transpose} * \end{array} * \right. * \f] * * The solution is performed inplace, meaning that the matrix B is overwritten with the solution * X after calling \p rocsparse_csrsm_solve. Given that the sparse matrix A is a square matrix, its * size is \f$m \times m\f$, regardless of whether A is transposed or not. The size of the column-oriented dense * matrices B and X depends on the value of \p trans_B: * * \f[ * op(B)/op(X) = \left\{ * \begin{array}{ll} * ldb \times nrhs, \text{ } ldb \ge m, & \text{if trans_B == rocsparse_operation_none} \\ * ldb \times m, \text{ } ldb \ge nrhs, & \text{if trans_B == rocsparse_operation_transpose} \\ * ldb \times m, \text{ } ldb \ge nrhs, & \text{if trans_B == rocsparse_operation_conjugate_transpose} * \end{array} * \right. * \f] * * \p rocsparse_csrsm_solve requires a user-allocated temporary buffer. Its size is returned by * \ref rocsparse_scsrsm_buffer_size "rocsparse_Xcsrsm_buffer_size()". The size of the required buffer is * larger when \p trans_A equals \ref rocsparse_operation_transpose or \ref rocsparse_operation_conjugate_transpose * and when \p trans_B is \ref rocsparse_operation_none. The subsequent solve will also be faster when \f$A\f$ * is non-transposed and \f$B\f$ is transposed (or conjugate transposed). For example, instead of solving: * * \f[ * \begin{bmatrix} * a_{00} & 0 & 0 \\ * a_{10} & a_{11} & 0 \\ * a_{20} & a_{21} & a_{22} \\ * \end{bmatrix} * \cdot * \begin{bmatrix} * x_{00} & x_{01} \\ * x_{10} & x_{11} \\ * x_{20} & x_{21} \\ * \end{bmatrix} * = * \begin{bmatrix} * b_{00} & b_{01} \\ * b_{10} & b_{11} \\ * b_{20} & b_{21} \\ * \end{bmatrix} * \f] * * Consider solving: * * \f[ * \begin{bmatrix} * a_{00} & 0 & 0 \\ * a_{10} & a_{11} & 0 \\ * a_{20} & a_{21} & a_{22} * \end{bmatrix} * \cdot * \begin{bmatrix} * x_{00} & x_{10} & x_{20} \\ * x_{01} & x_{11} & x_{21} * \end{bmatrix}^{T} * = * \begin{bmatrix} * b_{00} & b_{10} & b_{20} \\ * b_{01} & b_{11} & b_{21} * \end{bmatrix}^{T} * \f] * * After the temporary storage buffer has been allocated, analysis of the metadata is required. * It can be obtained by \ref rocsparse_scsrsm_analysis "rocsparse_Xcsrsm_analysis()". * * Solving a triangular system involves division by the diagonal elements. This means that if the sparse matrix is * missing the diagonal entry (referred to as a structural zero) or the diagonal entry is zero (referred to as a numerical zero), * then a division by zero would occur. \p rocsparse_csrsm_solve tracks the location of the first zero pivot (either numerical * or structural zero). The zero pivot status can be checked by calling \ref rocsparse_csrsm_zero_pivot(). If * \ref rocsparse_csrsm_zero_pivot() returns \ref rocsparse_status_success, then no zero pivot was found and therefore * the matrix does not have a structural or numerical zero. * * The user can specify that the sparse matrix should be interpreted as having ones on the diagonal by setting the diagonal type * on the descriptor \p descr to \ref rocsparse_diag_type_unit using \ref rocsparse_set_mat_diag_type. If * \ref rocsparse_diag_type == \ref rocsparse_diag_type_unit, no zero pivot will be reported, even if \f$A_{j,j} = 0\f$ for * some \f$j\f$. * * The sparse CSR matrix passed to \p rocsparse_csrsm_solve does not actually have to be a triangular matrix. Instead, the * triangular upper or lower part of the sparse matrix is solved based on the \ref rocsparse_fill_mode setting on the descriptor * \p descr. If the fill mode is set to \ref rocsparse_fill_mode_lower, then the lower triangular matrix is solved. If the * fill mode is set to \ref rocsparse_fill_mode_upper, then the upper triangular matrix is solved. * * \note * The sparse CSR matrix has to be sorted. This can be achieved by calling * rocsparse_csrsort(). * * \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_A != \ref rocsparse_operation_conjugate_transpose and * \p trans_B != \ref rocsparse_operation_conjugate_transpose is supported. * * \note * This routine supports execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * trans_A matrix A operation type. * @param[in] * trans_B matrix B operation type. * @param[in] * m number of rows of the sparse CSR matrix A. * @param[in] * nrhs number of columns of the column-oriented dense matrix op(B). * @param[in] * nnz number of non-zero entries of the sparse CSR matrix A. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse CSR matrix A. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix A. * @param[in] * csr_row_ptr array of \p m+1 elements that point to the start of every row of the * sparse CSR matrix A. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse * CSR matrix A. * @param[inout] * B column-oriented dense matrix of dimension \p m \f$\times\f$ \p nrhs elements of the rhs matrix B. * @param[in] * ldb leading dimension of rhs matrix B. * @param[in] * info structure that holds the information collected during the analysis step. * @param[in] * policy \ref rocsparse_solve_policy_auto. * @param[in] * temp_buffer temporary storage buffer allocated by the user. * * \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 nrhs, or \p nnz is invalid. * \retval rocsparse_status_invalid_pointer \p alpha, \p descr, \p csr_val, * \p csr_row_ptr, \p csr_col_ind, \p B, \p info, or \p temp_buffer pointer * is invalid. * \retval rocsparse_status_internal_error an internal error occurred. * \retval rocsparse_status_not_implemented * \p trans_A == \ref rocsparse_operation_conjugate_transpose, * \p trans_B == \ref rocsparse_operation_conjugate_transpose, or * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. * * \par Example * Consider the lower triangular \f$m \times m\f$ matrix \f$L\f$, stored in CSR * storage format with unit diagonal. The following example solves \f$L \cdot X = B\f$. * \snippet example_rocsparse_csrmm.cpp doc example */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_scsrsm_solve(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, float* B, rocsparse_int ldb, rocsparse_mat_info info, rocsparse_solve_policy policy, void* temp_buffer); ROCSPARSE_EXPORT rocsparse_status rocsparse_dcsrsm_solve(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, double* B, rocsparse_int ldb, rocsparse_mat_info info, rocsparse_solve_policy policy, void* temp_buffer); ROCSPARSE_EXPORT rocsparse_status rocsparse_ccsrsm_solve(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_float_complex* B, rocsparse_int ldb, rocsparse_mat_info info, rocsparse_solve_policy policy, void* temp_buffer); ROCSPARSE_EXPORT rocsparse_status rocsparse_zcsrsm_solve(rocsparse_handle handle, rocsparse_operation trans_A, rocsparse_operation trans_B, rocsparse_int m, rocsparse_int nrhs, 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, rocsparse_double_complex* B, rocsparse_int ldb, rocsparse_mat_info info, rocsparse_solve_policy policy, void* temp_buffer); /**@}*/ #ifdef __cplusplus } #endif #endif /* ROCSPARSE_CSRSM_H */