/*! \file */
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#ifndef HIPSPARSE_CSRILU0_H
#define HIPSPARSE_CSRILU0_H

#ifdef __cplusplus
extern "C" {
#endif

#if(!defined(CUDART_VERSION) || CUDART_VERSION < 13000)
/*! \ingroup precond_module
*  \details
*  \p hipsparseXcsrilu02_zeroPivot returns \ref HIPSPARSE_STATUS_ZERO_PIVOT if either a
*  structural or numerical zero has been found during \ref hipsparseScsrilu02 "hipsparseXcsrilu02()"
*  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 HIPSPARSE_STATUS_SUCCESS is returned instead.
*
*  \note \p hipsparseXcsrilu02_zeroPivot is a blocking function. It might negatively influence
*  performance.
*
*  \deprecated
*  This function is deprecated when using the CUDA backend (CUDA 12.0+) and will be 
*  removed in CUDA 13.0. This deprecation does not apply to the ROCm backend.
*
*  @param[in]
*  handle      handle to the hipSPARSE 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 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 info, or \p position is nullptr.
*  \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
*  \retval HIPSPARSE_STATUS_ZERO_PIVOT zero pivot has been found.
*/
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t
    hipsparseXcsrilu02_zeroPivot(hipsparseHandle_t handle, csrilu02Info_t info, int* position);
#endif

#if(!defined(CUDART_VERSION) || CUDART_VERSION < 13000)
/*! \ingroup precond_module
 *  \details
 *  \p hipsparseXcsrilu02_numericBoost enables the user to replace a numerical value in
 *  an incomplete LU factorization. \p tol is used to determine whether a numerical value
 *  is replaced by \p boost_val, such that \f$A_{j,j} = \text{boost_val}\f$ if
 *  \f$\text{tol} \ge \left|A_{j,j}\right|\f$.
 *
 *  \note The boost value is enabled by setting \p enable_boost to 1 or disabled by
 *  setting \p enable_boost to 0.
 *
 *  \note \p tol and \p boost_val can be in host or device memory.
 *
 *  \deprecated
 *  This function is deprecated when using the CUDA backend (CUDA 12.0+) and will be 
 *  removed in CUDA 13.0. This deprecation does not apply to the ROCm backend.
 *
 *  @param[in]
 *  handle          handle to the hipSPARSE library context queue.
 *  @param[in]
 *  info            structure that holds the information collected during the analysis step.
 *  @param[in]
 *  enable_boost    enable/disable numeric boost.
 *  @param[in]
 *  tol             tolerance to determine whether a numerical value is replaced or not.
 *  @param[in]
 *  boost_val       boost value to replace a numerical value.
 *
 *  \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 info, \p tol, or \p boost_val is nullptr.
 *  \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
 */
/**@{*/
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseScsrilu02_numericBoost(
    hipsparseHandle_t handle, csrilu02Info_t info, int enable_boost, double* tol, float* boost_val);

DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDcsrilu02_numericBoost(hipsparseHandle_t handle,
                                                  csrilu02Info_t    info,
                                                  int               enable_boost,
                                                  double*           tol,
                                                  double*           boost_val);

DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseCcsrilu02_numericBoost(hipsparseHandle_t handle,
                                                  csrilu02Info_t    info,
                                                  int               enable_boost,
                                                  double*           tol,
                                                  hipComplex*       boost_val);

DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZcsrilu02_numericBoost(hipsparseHandle_t handle,
                                                  csrilu02Info_t    info,
                                                  int               enable_boost,
                                                  double*           tol,
                                                  hipDoubleComplex* boost_val);
/**@}*/
#endif

#if(!defined(CUDART_VERSION) || CUDART_VERSION < 13000)
/*! \ingroup precond_module
*  \details
*  \p hipsparseXcsrilu02_bufferSize returns the size of the temporary storage buffer
*  in bytes that is required by \ref hipsparseScsrilu02_analysis "hipsparseXcsrilu02_analysis()"
*  and \ref hipsparseScsrilu02 "hipsparseXcsrilu02()". The temporary storage buffer
*  must be allocated by the user.
*
*  @param[in]
*  handle             handle to the hipSPARSE library context queue.
*  @param[in]
*  m                  number of rows of the sparse CSR matrix.
*  @param[in]
*  nnz                number of non-zero entries of the sparse CSR matrix.
*  @param[in]
*  descrA             descriptor of the sparse CSR matrix.
*  @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[out]
*  info               structure that holds the information collected during the analysis step.
*  @param[out]
*  pBufferSizeInBytes number of bytes of the temporary storage buffer required by
*                     \ref hipsparseScsrilu02_analysis "hipsparseXcsrilu02_analysis()" and
*                     \ref hipsparseScsrilu02 "hipsparseXcsrilu02()".
*
*  \retval     HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
*  \retval     HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p m, \p nnz, \p descrA, \p csrSortedValA,
*              \p csrSortedRowPtrA, \p csrSortedColIndA, \p info, or \p pBufferSizeInBytes pointer
*              is invalid.
*  \retval     HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
*/
/**@{*/
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseScsrilu02_bufferSize(hipsparseHandle_t         handle,
                                                int                       m,
                                                int                       nnz,
                                                const hipsparseMatDescr_t descrA,
                                                float*                    csrSortedValA,
                                                const int*                csrSortedRowPtrA,
                                                const int*                csrSortedColIndA,
                                                csrilu02Info_t            info,
                                                int*                      pBufferSizeInBytes);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDcsrilu02_bufferSize(hipsparseHandle_t         handle,
                                                int                       m,
                                                int                       nnz,
                                                const hipsparseMatDescr_t descrA,
                                                double*                   csrSortedValA,
                                                const int*                csrSortedRowPtrA,
                                                const int*                csrSortedColIndA,
                                                csrilu02Info_t            info,
                                                int*                      pBufferSizeInBytes);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseCcsrilu02_bufferSize(hipsparseHandle_t         handle,
                                                int                       m,
                                                int                       nnz,
                                                const hipsparseMatDescr_t descrA,
                                                hipComplex*               csrSortedValA,
                                                const int*                csrSortedRowPtrA,
                                                const int*                csrSortedColIndA,
                                                csrilu02Info_t            info,
                                                int*                      pBufferSizeInBytes);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZcsrilu02_bufferSize(hipsparseHandle_t         handle,
                                                int                       m,
                                                int                       nnz,
                                                const hipsparseMatDescr_t descrA,
                                                hipDoubleComplex*         csrSortedValA,
                                                const int*                csrSortedRowPtrA,
                                                const int*                csrSortedColIndA,
                                                csrilu02Info_t            info,
                                                int*                      pBufferSizeInBytes);
/**@}*/
#endif

/*! \ingroup precond_module
*  \details
*  \p hipsparseXcsrilu02_bufferSizeExt returns the size of the temporary storage buffer
*  in bytes that is required by \ref hipsparseScsrilu02_analysis "hipsparseXcsrilu02_analysis()"
*  and \ref hipsparseScsrilu02 "hipsparseXcsrilu02()". The temporary storage buffer
*  must be allocated by the user.
*
*  @param[in]
*  handle             handle to the hipSPARSE library context queue.
*  @param[in]
*  m                  number of rows of the sparse CSR matrix.
*  @param[in]
*  nnz                number of non-zero entries of the sparse CSR matrix.
*  @param[in]
*  descrA             descriptor of the sparse CSR matrix.
*  @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[out]
*  info               structure that holds the information collected during the analysis step.
*  @param[out]
*  pBufferSizeInBytes number of bytes of the temporary storage buffer required by
*                     \ref hipsparseScsrilu02_analysis "hipsparseXcsrilu02_analysis()" and
*                     \ref hipsparseScsrilu02 "hipsparseXcsrilu02()".
*
*  \retval     HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
*  \retval     HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p m, \p nnz, \p descrA, \p csrSortedValA,
*              \p csrSortedRowPtrA, \p csrSortedColIndA, \p info, or \p pBufferSizeInBytes pointer
*              is invalid.
*  \retval     HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
*/
/**@{*/
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseScsrilu02_bufferSizeExt(hipsparseHandle_t         handle,
                                                   int                       m,
                                                   int                       nnz,
                                                   const hipsparseMatDescr_t descrA,
                                                   float*                    csrSortedValA,
                                                   const int*                csrSortedRowPtrA,
                                                   const int*                csrSortedColIndA,
                                                   csrilu02Info_t            info,
                                                   size_t*                   pBufferSizeInBytes);
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDcsrilu02_bufferSizeExt(hipsparseHandle_t         handle,
                                                   int                       m,
                                                   int                       nnz,
                                                   const hipsparseMatDescr_t descrA,
                                                   double*                   csrSortedValA,
                                                   const int*                csrSortedRowPtrA,
                                                   const int*                csrSortedColIndA,
                                                   csrilu02Info_t            info,
                                                   size_t*                   pBufferSizeInBytes);
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseCcsrilu02_bufferSizeExt(hipsparseHandle_t         handle,
                                                   int                       m,
                                                   int                       nnz,
                                                   const hipsparseMatDescr_t descrA,
                                                   hipComplex*               csrSortedValA,
                                                   const int*                csrSortedRowPtrA,
                                                   const int*                csrSortedColIndA,
                                                   csrilu02Info_t            info,
                                                   size_t*                   pBufferSizeInBytes);
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZcsrilu02_bufferSizeExt(hipsparseHandle_t         handle,
                                                   int                       m,
                                                   int                       nnz,
                                                   const hipsparseMatDescr_t descrA,
                                                   hipDoubleComplex*         csrSortedValA,
                                                   const int*                csrSortedRowPtrA,
                                                   const int*                csrSortedColIndA,
                                                   csrilu02Info_t            info,
                                                   size_t*                   pBufferSizeInBytes);
/**@}*/

#if(!defined(CUDART_VERSION) || CUDART_VERSION < 13000)
/*! \ingroup precond_module
*  \details
*  \p hipsparseXcsrilu02_analysis performs the analysis step for \ref hipsparseScsrilu02
*  "hipsparseXcsrilu02()". It is expected that this function will be executed only once for
*  a given matrix and particular operation type.
*
*  \note
*  If the matrix sparsity pattern changes, the gathered information will become invalid.
*
*  \note
*  This function is non-blocking and executed asynchronously with respect to the host.
*  It can return before the actual computation has finished.
*
*  @param[in]
*  handle           handle to the hipSPARSE library context queue.
*  @param[in]
*  m                number of rows of the sparse CSR matrix.
*  @param[in]
*  nnz              number of non-zero entries of the sparse CSR matrix.
*  @param[in]
*  descrA           descriptor of the sparse CSR matrix.
*  @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[out]
*  info             structure that holds the information collected during
*                   the analysis step.
*  @param[in]
*  policy           \ref HIPSPARSE_SOLVE_POLICY_NO_LEVEL or \ref HIPSPARSE_SOLVE_POLICY_USE_LEVEL.
*  @param[in]
*  pBuffer          temporary storage buffer allocated by the user.
*
*  \retval     HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
*  \retval     HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p m, \p nnz, \p descrA, \p csrSortedValA,
*              \p csrSortedRowPtrA, \p csrSortedColIndA, \p info, or \p pBuffer pointer is invalid.
*  \retval     HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
*/
/**@{*/
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseScsrilu02_analysis(hipsparseHandle_t         handle,
                                              int                       m,
                                              int                       nnz,
                                              const hipsparseMatDescr_t descrA,
                                              const float*              csrSortedValA,
                                              const int*                csrSortedRowPtrA,
                                              const int*                csrSortedColIndA,
                                              csrilu02Info_t            info,
                                              hipsparseSolvePolicy_t    policy,
                                              void*                     pBuffer);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDcsrilu02_analysis(hipsparseHandle_t         handle,
                                              int                       m,
                                              int                       nnz,
                                              const hipsparseMatDescr_t descrA,
                                              const double*             csrSortedValA,
                                              const int*                csrSortedRowPtrA,
                                              const int*                csrSortedColIndA,
                                              csrilu02Info_t            info,
                                              hipsparseSolvePolicy_t    policy,
                                              void*                     pBuffer);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseCcsrilu02_analysis(hipsparseHandle_t         handle,
                                              int                       m,
                                              int                       nnz,
                                              const hipsparseMatDescr_t descrA,
                                              const hipComplex*         csrSortedValA,
                                              const int*                csrSortedRowPtrA,
                                              const int*                csrSortedColIndA,
                                              csrilu02Info_t            info,
                                              hipsparseSolvePolicy_t    policy,
                                              void*                     pBuffer);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZcsrilu02_analysis(hipsparseHandle_t         handle,
                                              int                       m,
                                              int                       nnz,
                                              const hipsparseMatDescr_t descrA,
                                              const hipDoubleComplex*   csrSortedValA,
                                              const int*                csrSortedRowPtrA,
                                              const int*                csrSortedColIndA,
                                              csrilu02Info_t            info,
                                              hipsparseSolvePolicy_t    policy,
                                              void*                     pBuffer);
/**@}*/
#endif

#if(!defined(CUDART_VERSION) || CUDART_VERSION < 13000)
/*! \ingroup precond_module
*  \brief Incomplete LU factorization with 0 fill-ins and no pivoting using the CSR
*  storage format.
*
*  \details
*  \p hipsparseXcsrilu02 computes the incomplete LU factorization with 0 fill-ins and no
*  pivoting of a sparse \f$m \times m\f$ CSR matrix \f$A\f$, such that
*  \f[
*    A \approx LU
*  \f]
*  where the lower triangular matrix \f$L\f$ and the upper triangular matrix \f$U\f$ are computed using:
*  \f[
*    \begin{array}{ll}
*        L_{ij} = \frac{1}{U_{jj}}(A_{ij} - \sum_{k=0}^{j-1}L_{ik} \times U_{kj}), & \text{if i > j} \\
*        U_{ij} = (A_{ij} - \sum_{k=0}^{j-1}L_{ik} \times U_{kj}), & \text{if i <= j}
*    \end{array}
*  \f]
*  for each entry found in the CSR matrix \f$A\f$.
*
*  Computing the above incomplete \f$LU\f$ factorization requires three steps to complete. First,
*  the user determines the size of the required temporary storage buffer by calling
*  \ref hipsparseScsrilu02_bufferSize "hipsparseXcsrilu02_bufferSize()". After this buffer size has been determined,
*  the user allocates the buffer and passes it to \ref hipsparseScsrilu02_analysis "hipsparseXcsrilu02_analysis()".
*  This will perform analysis on the sparsity pattern of the matrix. Finally, the user calls \p hipsparseScsrilu02,
*  \p hipsparseDcsrilu02, \p hipsparseCcsrilu02, or \p hipsparseZcsrilu02 to perform the actual factorization. The calculation
*  of the buffer size and the analysis of the sparse matrix only need to be performed once for a given sparsity pattern,
*  while the factorization can be repeatedly applied to multiple matrices having the same sparsity pattern. After all calls
*  to \ref hipsparseScsrilu02 "hipsparseXcsrilu02()" are complete, the temporary buffer can be deallocated.
*
*  When computing the \f$LU\f$ factorization, it is possible that \f$U_{jj} == 0\f$ which would result in a division by zero.
*  This could occur from either \f$A_{jj}\f$ not existing in the sparse CSR matrix (referred to as a structural zero) or because
*  \f$A_{ij} - \sum_{k=0}^{j-1}L_{ik} \times U_{kj} == 0\f$ (referred to as a numerical zero). For example, running the
*  \f$LU\f$ factorization on the following matrix:
*  \f[
*    \begin{bmatrix}
*    2 & 1 & 0 \\
*    1 & 2 & 1 \\
*    0 & 1 & 2
*    \end{bmatrix}
*  \f]
*  results in a successful \f$LU\f$ factorization. However, running with the matrix:
*  \f[
*    \begin{bmatrix}
*    2 & 1 & 0 \\
*    1 & 1/2 & 1 \\
*    0 & 1 & 2
*    \end{bmatrix}
*  \f]
*  results in a numerical zero because:
*  \f[
*    \begin{array}{ll}
*        U_{00} &= 2 \\
*        U_{01} &= 1 \\
*        L_{10} &= \frac{1}{2} \\
*        U_{11} &= \frac{1}{2} - \frac{1}{2}
*               &= 0
*    \end{array}
*  \f]
*  The user can detect the presence of a structural zero by calling \ref hipsparseXcsrilu02_zeroPivot() after
*  \ref hipsparseScsrilu02_analysis "hipsparseXcsrilu02_analysis()" and/or the presence of a structural or
*  numerical zero by calling \ref hipsparseXcsrilu02_zeroPivot() after \ref hipsparseScsrilu02 "hipsparseXcsrilu02()".
*  In both cases, \ref hipsparseXcsrilu02_zeroPivot() will report the first zero pivot (either numerical or structural)
*  found. See the example below. The user can also set the diagonal type to be \f$1\f$ using \ref hipsparseSetMatDiagType(),
*  which will interpret the matrix \f$A\f$ as having ones on its diagonal (even if no nonzero exists in the sparsity pattern).
*
*  \p hipsparseXcsrilu02 computes the \f$LU\f$ factorization inplace, meaning that the values array \p csrSortedValA_valM of the \f$A\f$
*  matrix is overwritten with the \f$L\f$ matrix stored in the strictly lower triangular part of \f$A\f$ and the \f$U\f$ matrix
*  stored in the upper part of \f$A\f$:
*
*  \f[
*    \begin{align}
*    \begin{bmatrix}
*    a_{00} & a_{01} & a_{02} \\
*    a_{10} & a_{11} & a_{12} \\
*    a_{20} & a_{21} & a_{22}
*    \end{bmatrix}
*    \rightarrow
*    \begin{bmatrix}
*    u_{00} & u_{01} & u_{02} \\
*    l_{10} & u_{11} & u_{12} \\
*    l_{20} & l_{21} & u_{22}
*    \end{bmatrix}
*    \end{align}
*  \f]
*  The row pointer array \p csrSortedRowPtrA and the column indices array \p csrSortedColIndA remain the same for \f$A\f$ and \f$LU\f$ as
*  the incomplete factorization does not generate new non-zeros in \f$LU\f$ which do not already exist in \f$A\f$.
*
*  The performance of computing \f$LU\f$ factorization with hipSPARSE greatly depends on the sparsity pattern
*  of the matrix \f$A\f$, because this is what determines the amount of parallelism available.
*
*  \note
*  The sparse CSR matrix has to be sorted. This can be achieved by calling
*  \ref hipsparseXcsrsort().
*
*  \note
*  This function is non-blocking and executed asynchronously with respect to the host.
*  It can return before the actual computation has finished.
*
*  @param[in]
*  handle             handle to the hipSPARSE library context queue.
*  @param[in]
*  m                  number of rows of the sparse CSR matrix.
*  @param[in]
*  nnz                number of non-zero entries of the sparse CSR matrix.
*  @param[in]
*  descrA             descriptor of the sparse CSR matrix.
*  @param[inout]
*  csrSortedValA_valM 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]
*  info               structure that holds the information collected during the analysis step.
*  @param[in]
*  policy             \ref HIPSPARSE_SOLVE_POLICY_NO_LEVEL or \ref HIPSPARSE_SOLVE_POLICY_USE_LEVEL.
*  @param[in]
*  pBuffer            temporary storage buffer allocated by the user.
*
*  \retval     HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
*  \retval     HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p m, \p nnz, \p descrA, \p csrSortedValA_valM,
*              \p csrSortedRowPtrA, or \p csrSortedColIndA pointer is invalid.
*  \retval     HIPSPARSE_STATUS_ARCH_MISMATCH the device is not supported.
*  \retval     HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
*/
/**@{*/
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseScsrilu02(hipsparseHandle_t         handle,
                                     int                       m,
                                     int                       nnz,
                                     const hipsparseMatDescr_t descrA,
                                     float*                    csrSortedValA_valM,
                                     /* matrix A values are updated inplace
                                        to be the preconditioner M values */
                                     const int*             csrSortedRowPtrA,
                                     const int*             csrSortedColIndA,
                                     csrilu02Info_t         info,
                                     hipsparseSolvePolicy_t policy,
                                     void*                  pBuffer);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDcsrilu02(hipsparseHandle_t         handle,
                                     int                       m,
                                     int                       nnz,
                                     const hipsparseMatDescr_t descrA,
                                     double*                   csrSortedValA_valM,
                                     /* matrix A values are updated inplace
                                        to be the preconditioner M values */
                                     const int*             csrSortedRowPtrA,
                                     const int*             csrSortedColIndA,
                                     csrilu02Info_t         info,
                                     hipsparseSolvePolicy_t policy,
                                     void*                  pBuffer);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseCcsrilu02(hipsparseHandle_t         handle,
                                     int                       m,
                                     int                       nnz,
                                     const hipsparseMatDescr_t descrA,
                                     hipComplex*               csrSortedValA_valM,
                                     /* matrix A values are updated inplace
                                        to be the preconditioner M values */
                                     const int*             csrSortedRowPtrA,
                                     const int*             csrSortedColIndA,
                                     csrilu02Info_t         info,
                                     hipsparseSolvePolicy_t policy,
                                     void*                  pBuffer);
DEPRECATED_CUDA_12000("The routine will be removed in CUDA 13")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZcsrilu02(hipsparseHandle_t         handle,
                                     int                       m,
                                     int                       nnz,
                                     const hipsparseMatDescr_t descrA,
                                     hipDoubleComplex*         csrSortedValA_valM,
                                     /* matrix A values are updated inplace
                                        to be the preconditioner M values */
                                     const int*             csrSortedRowPtrA,
                                     const int*             csrSortedColIndA,
                                     csrilu02Info_t         info,
                                     hipsparseSolvePolicy_t policy,
                                     void*                  pBuffer);
/**@}*/
#endif

#ifdef __cplusplus
}
#endif

#endif /* HIPSPARSE_CSRILU0_H */