/*! \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_CSRMV_H
#define HIPSPARSE_CSRMV_H

#ifdef __cplusplus
extern "C" {
#endif

#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
/*! \ingroup level2_module
*  \brief Sparse matrix vector multiplication using the CSR storage format.
*
*  \details
*  \p hipsparseXcsrmv multiplies the scalar \f$\alpha\f$ with a sparse \f$m \times n\f$
*  matrix, defined in CSR 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 := \alpha \cdot op(A) \cdot x + \beta \cdot y,
*  \f]
*  with
*  \f[
*    op(A) = \left\{
*    \begin{array}{ll}
*        A,   & \text{if transA == HIPSPARSE_OPERATION_NON_TRANSPOSE} \\
*        A^T, & \text{if transA == HIPSPARSE_OPERATION_TRANSPOSE} \\
*        A^H, & \text{if transA == HIPSPARSE_OPERATION_CONJUGATE_TRANSPOSE}
*    \end{array}
*    \right.
*  \f]
*
*  \code{.c}
*      for(i = 0; i < m; ++i)
*      {
*          y[i] = beta * y[i];
*
*          for(j = csrRowPtr[i]; j < csrRowPtr[i + 1]; ++j)
*          {
*              y[i] = y[i] + alpha * csrVal[j] * x[csrColInd[j]];
*          }
*      }
*  \endcode
*
*  \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 transA == \ref HIPSPARSE_OPERATION_NON_TRANSPOSE is supported.
*
*  \deprecated
*  This function is deprecated when using the CUDA backend (CUDA 10.0+) and will be 
*  removed in CUDA 11.0. This deprecation does not apply to the ROCm backend.
*
*  @param[in]
*  handle              handle to the hipSPARSE library context queue.
*  @param[in]
*  transA              matrix operation type.
*  @param[in]
*  m                   number of rows of the sparse CSR matrix. Must be non-negative.
*  @param[in]
*  n                   number of columns of the sparse CSR matrix. Must be non-negative.
*  @param[in]
*  nnz                 number of non-zero entries of the sparse CSR matrix. Must be non-negative.
*  @param[in]
*  alpha               scalar \f$\alpha\f$.
*  @param[in]
*  descrA              descriptor of the sparse CSR matrix. Currently, only
*                      \ref HIPSPARSE_MATRIX_TYPE_GENERAL is supported.
*  @param[in]
*  csrSortedValA       array of \p nnz elements of the sparse CSR matrix.
*  @param[in]
*  csrSortedRowPtrA    array of \p m+1 elements that point to the start
*                      of every row of the sparse CSR matrix.
*  @param[in]
*  csrSortedColIndA    array of \p nnz elements containing the column indices of the sparse
*                      CSR matrix.
*  @param[in]
*  x                   array of \p n elements (\f$op(A) == A\f$) or \p m 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 m elements (\f$op(A) == A\f$) or \p n 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 descrA, \p alpha, or \p beta is nullptr,
*          \p m, \p n, or \p nnz is negative, or \p csrSortedValA, \p csrSortedRowPtrA,
*          \p csrSortedColIndA, \p x, or \p y is nullptr.
*  \retval HIPSPARSE_STATUS_ARCH_MISMATCH the device is not supported.
*  \retval HIPSPARSE_STATUS_NOT_SUPPORTED \ref hipsparseMatrixType_t is not 
*          \ref HIPSPARSE_MATRIX_TYPE_GENERAL.
*/
/**@{*/
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseScsrmv(hipsparseHandle_t         handle,
                                  hipsparseOperation_t      transA,
                                  int                       m,
                                  int                       n,
                                  int                       nnz,
                                  const float*              alpha,
                                  const hipsparseMatDescr_t descrA,
                                  const float*              csrSortedValA,
                                  const int*                csrSortedRowPtrA,
                                  const int*                csrSortedColIndA,
                                  const float*              x,
                                  const float*              beta,
                                  float*                    y);
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDcsrmv(hipsparseHandle_t         handle,
                                  hipsparseOperation_t      transA,
                                  int                       m,
                                  int                       n,
                                  int                       nnz,
                                  const double*             alpha,
                                  const hipsparseMatDescr_t descrA,
                                  const double*             csrSortedValA,
                                  const int*                csrSortedRowPtrA,
                                  const int*                csrSortedColIndA,
                                  const double*             x,
                                  const double*             beta,
                                  double*                   y);
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseCcsrmv(hipsparseHandle_t         handle,
                                  hipsparseOperation_t      transA,
                                  int                       m,
                                  int                       n,
                                  int                       nnz,
                                  const hipComplex*         alpha,
                                  const hipsparseMatDescr_t descrA,
                                  const hipComplex*         csrSortedValA,
                                  const int*                csrSortedRowPtrA,
                                  const int*                csrSortedColIndA,
                                  const hipComplex*         x,
                                  const hipComplex*         beta,
                                  hipComplex*               y);
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZcsrmv(hipsparseHandle_t         handle,
                                  hipsparseOperation_t      transA,
                                  int                       m,
                                  int                       n,
                                  int                       nnz,
                                  const hipDoubleComplex*   alpha,
                                  const hipsparseMatDescr_t descrA,
                                  const hipDoubleComplex*   csrSortedValA,
                                  const int*                csrSortedRowPtrA,
                                  const int*                csrSortedColIndA,
                                  const hipDoubleComplex*   x,
                                  const hipDoubleComplex*   beta,
                                  hipDoubleComplex*         y);
/**@}*/
#endif

#ifdef __cplusplus
}
#endif

#endif /* HIPSPARSE_CSRMV_H */
