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215 lines
10 KiB
C
215 lines
10 KiB
C
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2023-2024 Advanced Micro Devices, Inc. All rights Reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the Software), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED AS IS, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#ifndef ROCSPARSE_GEMMI_H
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#define ROCSPARSE_GEMMI_H
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#include "../../rocsparse-types.h"
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#include "rocsparse/rocsparse-export.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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/*! \ingroup level3_module
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* \brief Dense matrix sparse matrix multiplication using the CSR storage format.
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*
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* \details
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* \p rocsparse_gemmi multiplies the scalar \f$\alpha\f$ with a column-oriented dense \f$m \times k\f$
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* matrix \f$op(A)\f$ and the sparse \f$k \times n\f$ matrix \f$op(B)\f$, defined in CSR
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* storage format, and adds the result to the column-oriented dense \f$m \times n\f$ matrix \f$C\f$ that
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* is multiplied by the scalar \f$\beta\f$, such that
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* \f[
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* C := \alpha \cdot op(A) \cdot op(B) + \beta \cdot C
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* \f]
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* with
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* \f[
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* op(A) = \left\{
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* \begin{array}{ll}
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* A, & \text{if trans_A == rocsparse_operation_none} \\
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* A^T, & \text{if trans_A == rocsparse_operation_transpose} \\
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* A^H, & \text{if trans_A == rocsparse_operation_conjugate_transpose}
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* \end{array}
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* \right.
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* \f]
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* and
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* \f[
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* op(B) = \left\{
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* \begin{array}{ll}
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* B, & \text{if trans_B == rocsparse_operation_none} \\
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* B^T, & \text{if trans_B == rocsparse_operation_transpose} \\
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* B^H, & \text{if trans_B == rocsparse_operation_conjugate_transpose}
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* \end{array}
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* \right.
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* \f]
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*
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* \note
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* Currently, only \p trans_A == \ref rocsparse_operation_none is supported.
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*
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* \note
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* Currently, only \p trans_B == \ref rocsparse_operation_transpose is supported.
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*
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* \note
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* This function is non-blocking and executed asynchronously with respect to the host.
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* It can return before the actual computation has finished.
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*
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* \note
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* This routine supports execution in a hipGraph context.
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*
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* @param[in]
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* handle handle to the rocSPARSE library context queue.
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* @param[in]
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* trans_A matrix \f$A\f$ operation type.
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* @param[in]
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* trans_B matrix \f$B\f$ operation type.
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* @param[in]
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* m number of rows of the column-oriented dense matrix \f$A\f$.
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* @param[in]
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* n number of columns of the sparse CSR matrix \f$op(B)\f$ and \f$C\f$.
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* @param[in]
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* k number of columns of the column-oriented dense matrix \f$A\f$.
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* @param[in]
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* nnz number of non-zero entries of the sparse CSR matrix \f$B\f$.
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* @param[in]
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* alpha scalar \f$\alpha\f$.
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* @param[in]
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* A array of dimension \f$lda \times k\f$ (\f$op(A) == A\f$) or
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* \f$lda \times m\f$ (\f$op(A) == A^T\f$ or \f$op(A) == A^H\f$).
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* @param[in]
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* lda leading dimension of \f$A\f$, must be at least \f$m\f$
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* (\f$op(A) == A\f$) or \f$k\f$ (\f$op(A) == A^T\f$ or
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* \f$op(A) == A^H\f$).
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* @param[in]
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* descr descriptor of the sparse CSR matrix \f$B\f$. Currently, only
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* \ref rocsparse_matrix_type_general is supported.
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* @param[in]
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* csr_val array of \p nnz elements of the sparse CSR matrix \f$B\f$.
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* @param[in]
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* csr_row_ptr array of \p m+1 elements that point to the start of every row of the
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* sparse CSR matrix \f$B\f$.
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* @param[in]
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* csr_col_ind array of \p nnz elements containing the column indices of the sparse CSR
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* matrix \f$B\f$.
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* @param[in]
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* beta scalar \f$\beta\f$.
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* @param[inout]
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* C column-oriented dense matrix of dimension \f$ldc \times n\f$ that holds the values of \f$C\f$.
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* @param[in]
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* ldc leading dimension of \f$C\f$, must be at least \f$m\f$.
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*
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* \retval rocsparse_status_success the operation completed successfully.
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* \retval rocsparse_status_invalid_handle the library context was not initialized.
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* \retval rocsparse_status_invalid_size \p m, \p n, \p k, \p nnz, \p lda, or \p ldc
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* is invalid.
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* \retval rocsparse_status_invalid_pointer \p alpha, \p A, \p csr_val,
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* \p csr_row_ptr, \p csr_col_ind, \p beta, or \p C pointer is invalid.
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*
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* \par Example
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* This example multiplies a column-oriented dense matrix with a CSC matrix.
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* \snippet example_rocsparse_gemmi.cpp doc example
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*/
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/**@{*/
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_sgemmi(rocsparse_handle handle,
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rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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rocsparse_int m,
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rocsparse_int n,
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rocsparse_int k,
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rocsparse_int nnz,
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const float* alpha,
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const float* A,
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rocsparse_int lda,
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const rocsparse_mat_descr descr,
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const float* csr_val,
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const rocsparse_int* csr_row_ptr,
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const rocsparse_int* csr_col_ind,
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const float* beta,
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float* C,
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rocsparse_int ldc);
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_dgemmi(rocsparse_handle handle,
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rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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rocsparse_int m,
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rocsparse_int n,
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rocsparse_int k,
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rocsparse_int nnz,
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const double* alpha,
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const double* A,
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rocsparse_int lda,
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const rocsparse_mat_descr descr,
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const double* csr_val,
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const rocsparse_int* csr_row_ptr,
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const rocsparse_int* csr_col_ind,
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const double* beta,
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double* C,
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rocsparse_int ldc);
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_cgemmi(rocsparse_handle handle,
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rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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rocsparse_int m,
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rocsparse_int n,
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rocsparse_int k,
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rocsparse_int nnz,
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const rocsparse_float_complex* alpha,
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const rocsparse_float_complex* A,
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rocsparse_int lda,
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const rocsparse_mat_descr descr,
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const rocsparse_float_complex* csr_val,
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const rocsparse_int* csr_row_ptr,
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const rocsparse_int* csr_col_ind,
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const rocsparse_float_complex* beta,
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rocsparse_float_complex* C,
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rocsparse_int ldc);
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_zgemmi(rocsparse_handle handle,
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rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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rocsparse_int m,
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rocsparse_int n,
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rocsparse_int k,
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rocsparse_int nnz,
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const rocsparse_double_complex* alpha,
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const rocsparse_double_complex* A,
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rocsparse_int lda,
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const rocsparse_mat_descr descr,
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const rocsparse_double_complex* csr_val,
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const rocsparse_int* csr_row_ptr,
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const rocsparse_int* csr_col_ind,
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const rocsparse_double_complex* beta,
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rocsparse_double_complex* C,
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rocsparse_int ldc);
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/**@}*/
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#ifdef __cplusplus
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}
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#endif
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#endif /* ROCSPARSE_GEMMI_H */
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