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143 lines
7.3 KiB
C
143 lines
7.3 KiB
C
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2025 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 HIPSPARSE_CSR2HYB_H
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#define HIPSPARSE_CSR2HYB_H
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#ifdef __cplusplus
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extern "C" {
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#endif
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#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
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/*! \ingroup conv_module
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* \brief Convert a sparse CSR matrix into a sparse HYB matrix.
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*
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* \details
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* \p hipsparseXcsr2hyb converts a CSR matrix into a HYB matrix. It is assumed
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* that \p hyb has been initialized with \ref hipsparseCreateHybMat().
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*
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* \note
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* This function requires a significant amount of storage for the HYB matrix,
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* depending on the matrix structure.
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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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* \deprecated
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* This function is deprecated when using the CUDA backend (CUDA 10.0+) and will be
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* removed in CUDA 11.0. This deprecation does not apply to the ROCm backend.
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*
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* @param[in]
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* handle handle to the hipSPARSE library context queue.
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* @param[in]
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* m number of rows of the sparse CSR matrix, which must be non-negative.
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* @param[in]
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* n number of columns of the sparse CSR matrix, which must be non-negative.
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* @param[in]
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* descrA descriptor of the sparse CSR matrix. Currently, only
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* \ref HIPSPARSE_MATRIX_TYPE_GENERAL is supported.
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* @param[in]
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* csrSortedValA array containing the values of the sparse CSR matrix.
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* @param[in]
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* csrSortedRowPtrA array of \p m+1 elements that point to the start of every row of the
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* sparse CSR matrix.
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* @param[in]
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* csrSortedColIndA array containing the column indices of the sparse CSR matrix.
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* @param[out]
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* hybA sparse matrix in HYB format.
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* @param[in]
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* userEllWidth width of the ELL part of the HYB matrix (only required if
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* \p partitionType == \ref HIPSPARSE_HYB_PARTITION_USER). Must be non-negative.
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* @param[in]
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* partitionType \ref HIPSPARSE_HYB_PARTITION_AUTO (recommended),
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* \ref HIPSPARSE_HYB_PARTITION_USER, or
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* \ref HIPSPARSE_HYB_PARTITION_MAX.
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*
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* \retval HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
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* \retval HIPSPARSE_STATUS_NOT_INITIALIZED \p handle is not initialized.
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* \retval HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p descrA, \p hybA, \p csrSortedValA,
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* \p csrSortedRowPtrA, or \p csrSortedColIndA is nullptr, \p m or \p n is negative, or
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* \p userEllWidth or \p partitionType is invalid.
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* \retval HIPSPARSE_STATUS_ALLOC_FAILED the buffer for the HYB matrix could not be allocated.
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* \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
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* \retval HIPSPARSE_STATUS_NOT_SUPPORTED \ref hipsparseMatrixType_t != \ref HIPSPARSE_MATRIX_TYPE_GENERAL.
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*/
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/**@{*/
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DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseScsr2hyb(hipsparseHandle_t handle,
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int m,
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int n,
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const hipsparseMatDescr_t descrA,
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const float* csrSortedValA,
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const int* csrSortedRowPtrA,
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const int* csrSortedColIndA,
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hipsparseHybMat_t hybA,
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int userEllWidth,
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hipsparseHybPartition_t partitionType);
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DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseDcsr2hyb(hipsparseHandle_t handle,
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int m,
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int n,
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const hipsparseMatDescr_t descrA,
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const double* csrSortedValA,
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const int* csrSortedRowPtrA,
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const int* csrSortedColIndA,
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hipsparseHybMat_t hybA,
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int userEllWidth,
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hipsparseHybPartition_t partitionType);
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DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseCcsr2hyb(hipsparseHandle_t handle,
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int m,
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int n,
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const hipsparseMatDescr_t descrA,
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const hipComplex* csrSortedValA,
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const int* csrSortedRowPtrA,
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const int* csrSortedColIndA,
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hipsparseHybMat_t hybA,
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int userEllWidth,
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hipsparseHybPartition_t partitionType);
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DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseZcsr2hyb(hipsparseHandle_t handle,
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int m,
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int n,
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const hipsparseMatDescr_t descrA,
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const hipDoubleComplex* csrSortedValA,
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const int* csrSortedRowPtrA,
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const int* csrSortedColIndA,
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hipsparseHybMat_t hybA,
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int userEllWidth,
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hipsparseHybPartition_t partitionType);
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/**@}*/
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#endif
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#ifdef __cplusplus
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}
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#endif
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#endif /* HIPSPARSE_CSR2HYB_H */
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