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Flatten subprojects into a single base monorepo
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142 lines
6.3 KiB
C

/*! \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_HYBMV_H
#define HIPSPARSE_HYBMV_H
#ifdef __cplusplus
extern "C" {
#endif
#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
/*! \ingroup level2_module
* \brief Sparse matrix vector multiplication using the HYB storage format.
*
* \details
* \p hipsparseXhybmv multiplies the scalar \f$\alpha\f$ with a sparse \f$m \times n\f$
* matrix, defined in HYB 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}
* \end{array}
* \right.
* \f]
*
* \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]
* alpha scalar \f$\alpha\f$.
* @param[in]
* descrA descriptor of the sparse HYB matrix. Currently, only
* \ref HIPSPARSE_MATRIX_TYPE_GENERAL is supported.
* @param[in]
* hybA matrix in HYB storage format.
* @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, \p beta, or \p hybA is nullptr,
* or \p x or \p y is nullptr.
* \retval HIPSPARSE_STATUS_ARCH_MISMATCH the device is not supported.
* \retval HIPSPARSE_STATUS_ALLOC_FAILED the buffer could not be allocated.
* \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
* \retval HIPSPARSE_STATUS_NOT_SUPPORTED \p transA is not \ref HIPSPARSE_OPERATION_NON_TRANSPOSE
* or \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 hipsparseShybmv(hipsparseHandle_t handle,
hipsparseOperation_t transA,
const float* alpha,
const hipsparseMatDescr_t descrA,
const hipsparseHybMat_t hybA,
const float* x,
const float* beta,
float* y);
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseDhybmv(hipsparseHandle_t handle,
hipsparseOperation_t transA,
const double* alpha,
const hipsparseMatDescr_t descrA,
const hipsparseHybMat_t hybA,
const double* x,
const double* beta,
double* y);
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseChybmv(hipsparseHandle_t handle,
hipsparseOperation_t transA,
const hipComplex* alpha,
const hipsparseMatDescr_t descrA,
const hipsparseHybMat_t hybA,
const hipComplex* x,
const hipComplex* beta,
hipComplex* y);
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
HIPSPARSE_EXPORT
hipsparseStatus_t hipsparseZhybmv(hipsparseHandle_t handle,
hipsparseOperation_t transA,
const hipDoubleComplex* alpha,
const hipsparseMatDescr_t descrA,
const hipsparseHybMat_t hybA,
const hipDoubleComplex* x,
const hipDoubleComplex* beta,
hipDoubleComplex* y);
/**@}*/
#endif
#ifdef __cplusplus
}
#endif
#endif /* HIPSPARSE_HYBMV_H */