pllava/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverMg.h

/*
 * Copyright 2019 NVIDIA Corporation.  All rights reserved.
 *
 * NOTICE TO LICENSEE:
 *
 * This source code and/or documentation ("Licensed Deliverables") are
 * subject to NVIDIA intellectual property rights under U.S. and
 * international Copyright laws.
 *
 * These Licensed Deliverables contained herein is PROPRIETARY and
 * CONFIDENTIAL to NVIDIA and is being provided under the terms and
 * conditions of a form of NVIDIA software license agreement by and
 * between NVIDIA and Licensee ("License Agreement") or electronically
 * accepted by Licensee.  Notwithstanding any terms or conditions to
 * the contrary in the License Agreement, reproduction or disclosure
 * of the Licensed Deliverables to any third party without the express
 * written consent of NVIDIA is prohibited.
 *
 * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
 * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
 * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE.  IT IS
 * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
 * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
 * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
 * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
 * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
 * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
 * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
 * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
 * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
 * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
 * OF THESE LICENSED DELIVERABLES.
 *
 * U.S. Government End Users.  These Licensed Deliverables are a
 * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
 * 1995), consisting of "commercial computer software" and "commercial
 * computer software documentation" as such terms are used in 48
 * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
 * only as a commercial end item.  Consistent with 48 C.F.R.12.212 and
 * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
 * U.S. Government End Users acquire the Licensed Deliverables with
 * only those rights set forth herein.
 *
 * Any use of the Licensed Deliverables in individual and commercial
 * software must include, in the user documentation and internal
 * comments to the code, the above Disclaimer and U.S. Government End
 * Users Notice.
 */

#if !defined(CUSOLVERMG_H_)
  #define CUSOLVERMG_H_

  #include <stdint.h>
  #include "cusolverDn.h"

  #if defined(__cplusplus)
extern "C" {
  #endif /* __cplusplus */

  struct cusolverMgContext;
  typedef struct cusolverMgContext *cusolverMgHandle_t;

  /**
   * \beief This enum decides how 1D device Ids (or process ranks) get mapped to
   * a 2D grid.
   */
  typedef enum {

    CUDALIBMG_GRID_MAPPING_ROW_MAJOR = 1,
    CUDALIBMG_GRID_MAPPING_COL_MAJOR = 0

  } cusolverMgGridMapping_t;

  /** \brief Opaque structure of the distributed grid */
  typedef void *cudaLibMgGrid_t;
  /** \brief Opaque structure of the distributed matrix descriptor */
  typedef void *cudaLibMgMatrixDesc_t;

  cusolverStatus_t CUSOLVERAPI cusolverMgCreate(cusolverMgHandle_t *handle);

  cusolverStatus_t CUSOLVERAPI cusolverMgDestroy(cusolverMgHandle_t handle);

  cusolverStatus_t CUSOLVERAPI cusolverMgDeviceSelect(
    cusolverMgHandle_t handle,
    int                nbDevices,
    int                deviceId[]);

  /**
   * \brief Allocates resources related to the shared memory device grid.
   * \param[out] grid the opaque data strcuture that holds the grid
   * \param[in] numRowDevices number of devices in the row
   * \param[in] numColDevices number of devices in the column
   * \param[in] deviceId This array of size height * width stores the
   *            device-ids of the 2D grid; each entry must correspond to a valid
   * gpu or to -1 (denoting CPU). \param[in] mapping whether the 2D grid is in
   * row/column major \returns the status code
   */
  cusolverStatus_t CUSOLVERAPI cusolverMgCreateDeviceGrid(
    cudaLibMgGrid_t *       grid,
    int32_t                 numRowDevices,
    int32_t                 numColDevices,
    const int32_t           deviceId[],
    cusolverMgGridMapping_t mapping);

  /**
   * \brief Releases the allocated resources related to the distributed grid.
   * \param[in] grid the opaque data strcuture that holds the distributed grid
   * \returns the status code
   */
  cusolverStatus_t CUSOLVERAPI cusolverMgDestroyGrid(cudaLibMgGrid_t grid);

  /**
   * \brief Allocates resources related to the distributed matrix descriptor.
   * \param[out] desc the opaque data strcuture that holds the descriptor
   * \param[in] numRows number of total rows
   * \param[in] numCols number of total columns
   * \param[in] rowBlockSize row block size
   * \param[in] colBlockSize column block size
   * \param[in] dataType the data type of each element in cudaDataType
   * \param[in] grid the opaque data structure of the distributed grid
   * \returns the status code
   */
  cusolverStatus_t CUSOLVERAPI cusolverMgCreateMatrixDesc(
    cudaLibMgMatrixDesc_t *desc,
    int64_t                numRows,
    int64_t                numCols,
    int64_t                rowBlockSize,
    int64_t                colBlockSize,
    cudaDataType           dataType,
    const cudaLibMgGrid_t  grid);

  /**
   * \brief Releases the allocated resources related to the distributed matrix
   * descriptor. \param[in] desc the opaque data strcuture that holds the
   * descriptor \returns the status code
   */
  cusolverStatus_t CUSOLVERAPI
    cusolverMgDestroyMatrixDesc(cudaLibMgMatrixDesc_t desc);

  cusolverStatus_t CUSOLVERAPI cusolverMgSyevd_bufferSize(
    cusolverMgHandle_t    handle,
    cusolverEigMode_t     jobz,
    cublasFillMode_t      uplo,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    void *                W,
    cudaDataType          dataTypeW,
    cudaDataType          computeType,
    int64_t *             lwork);

  cusolverStatus_t CUSOLVERAPI cusolverMgSyevd(
    cusolverMgHandle_t    handle,
    cusolverEigMode_t     jobz,
    cublasFillMode_t      uplo,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    void *                W,
    cudaDataType          dataTypeW,
    cudaDataType          computeType,
    void *                array_d_work[],
    int64_t               lwork,
    int *                 info);

  cusolverStatus_t CUSOLVERAPI cusolverMgGetrf_bufferSize(
    cusolverMgHandle_t    handle,
    int                   M,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    int *                 array_d_IPIV[],
    cudaDataType          computeType,
    int64_t *             lwork);

  cusolverStatus_t CUSOLVERAPI cusolverMgGetrf(
    cusolverMgHandle_t    handle,
    int                   M,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    int *                 array_d_IPIV[],
    cudaDataType          computeType,
    void *                array_d_work[],
    int64_t               lwork,
    int *                 info);

  cusolverStatus_t CUSOLVERAPI cusolverMgGetrs_bufferSize(
    cusolverMgHandle_t    handle,
    cublasOperation_t     TRANS,
    int                   N,
    int                   NRHS,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    int *                 array_d_IPIV[],
    void *                array_d_B[],
    int                   IB,
    int                   JB,
    cudaLibMgMatrixDesc_t descrB,
    cudaDataType          computeType,
    int64_t *             lwork);

  cusolverStatus_t CUSOLVERAPI cusolverMgGetrs(
    cusolverMgHandle_t    handle,
    cublasOperation_t     TRANS,
    int                   N,
    int                   NRHS,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    int *                 array_d_IPIV[],
    void *                array_d_B[],
    int                   IB,
    int                   JB,
    cudaLibMgMatrixDesc_t descrB,
    cudaDataType          computeType,
    void *                array_d_work[],
    int64_t               lwork,
    int *                 info);

  cusolverStatus_t CUSOLVERAPI cusolverMgPotrf_bufferSize(
    cusolverMgHandle_t    handle,
    cublasFillMode_t      uplo,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    cudaDataType          computeType,
    int64_t *             lwork);

  cusolverStatus_t CUSOLVERAPI cusolverMgPotrf(
    cusolverMgHandle_t    handle,
    cublasFillMode_t      uplo,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    cudaDataType          computeType,
    void *                array_d_work[],
    int64_t               lwork,
    int *                 h_info);

  cusolverStatus_t CUSOLVERAPI cusolverMgPotrs_bufferSize(
    cusolverMgHandle_t    handle,
    cublasFillMode_t      uplo,
    int                   n,
    int                   nrhs,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    void *                array_d_B[],
    int                   IB,
    int                   JB,
    cudaLibMgMatrixDesc_t descrB,
    cudaDataType          computeType,
    int64_t *             lwork);

  cusolverStatus_t CUSOLVERAPI cusolverMgPotrs(
    cusolverMgHandle_t    handle,
    cublasFillMode_t      uplo,
    int                   n,
    int                   nrhs,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    void *                array_d_B[],
    int                   IB,
    int                   JB,
    cudaLibMgMatrixDesc_t descrB,
    cudaDataType          computeType,
    void *                array_d_work[],
    int64_t               lwork,
    int *                 h_info);

  cusolverStatus_t CUSOLVERAPI cusolverMgPotri_bufferSize(
    cusolverMgHandle_t    handle,
    cublasFillMode_t      uplo,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    cudaDataType          computeType,
    int64_t *             lwork);

  cusolverStatus_t CUSOLVERAPI cusolverMgPotri(
    cusolverMgHandle_t    handle,
    cublasFillMode_t      uplo,
    int                   N,
    void *                array_d_A[],
    int                   IA,
    int                   JA,
    cudaLibMgMatrixDesc_t descrA,
    cudaDataType          computeType,
    void *                array_d_work[],
    int64_t               lwork,
    int *                 h_info);

  #if defined(__cplusplus)
}
  #endif /* __cplusplus */

#endif // CUSOLVERMG_H_