CodeQL / Analyze (actions) (push) Canceled after 0s
CodeQL / Analyze (python) (push) Canceled after 0s
pre-commit / pre-commit (push) Canceled after 0s
Multi-Arch CI / setup (push) Canceled after 0s
Publish build_manylinux_x86_64 images / publish_build_manylinux_x86_64 (push) Canceled after 0s
Setup (Multi-Arch) / setup (push) Canceled after 0s
Multi-Arch CI / Linux::${{ fromJSON(needs.setup.outputs.linux_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubi10 image / publish_no_rocm_image_ubi10 (push) Canceled after 0s
Multi-Arch CI / Windows::${{ fromJSON(needs.setup.outputs.windows_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Multi-Arch CI / Manifest Diff (push) Canceled after 0s
TheRock Manifest Diff Report / Generate Manifest Diff Report (push) Canceled after 0s
Multi-Arch CI / CI Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_ocl_rt images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_rocgdb images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Unit Tests / Unit Tests :: ubuntu-24.04 (push) Canceled after 0s
Unit Tests / Unit Tests :: windows-2022 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_media (push) Canceled after 0s
Unit Tests / Unit Tests Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_openmpi (push) Canceled after 0s
344 lines
17 KiB
C
344 lines
17 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_CSR2CSC_H
|
|
#define HIPSPARSE_CSR2CSC_H
|
|
|
|
#ifdef __cplusplus
|
|
extern "C" {
|
|
#endif
|
|
|
|
#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
|
|
/*! \ingroup conv_module
|
|
* \brief Convert a sparse CSR matrix into a sparse CSC matrix.
|
|
*
|
|
* \details
|
|
* \p hipsparseXcsr2csc converts a CSR matrix into a CSC matrix. \p hipsparseXcsr2csc
|
|
* can also be used to convert a CSC matrix into a CSR matrix. \p copyValues decides
|
|
* whether \p cscSortedVal is being filled during conversion (\ref HIPSPARSE_ACTION_NUMERIC)
|
|
* or not (\ref HIPSPARSE_ACTION_SYMBOLIC).
|
|
*
|
|
* For example given the matrix:
|
|
* \f[
|
|
* \begin{bmatrix}
|
|
* 1 & 0 & 0 & 2 \\
|
|
* 3 & 4 & 0 & 0 \\
|
|
* 5 & 0 & 6 & 7
|
|
* \end{bmatrix}
|
|
* \f]
|
|
*
|
|
* Represented using the sparse CSR format as:
|
|
* \f[
|
|
* \begin{align}
|
|
* \text{csrSortedRowPtr} &= \begin{bmatrix} 0 & 2 & 4 & 7 \end{bmatrix} \\
|
|
* \text{csrSortedColInd} &= \begin{bmatrix} 0 & 3 & 0 & 1 & 0 & 2 & 3 \end{bmatrix} \\
|
|
* \text{csrSortedVal} &= \begin{bmatrix} 1 & 2 & 3 & 4 & 5 & 6 & 7 \end{bmatrix}
|
|
* \end{align}
|
|
* \f]
|
|
*
|
|
* this function converts it to the sparse CSC format:
|
|
* \f[
|
|
* \begin{align}
|
|
* \text{cscSortedRowInd} &= \begin{bmatrix} 0 & 1 & 2 & 1 & 2 & 0 & 2 \end{bmatrix} \\
|
|
* \text{cscSortedColPtr} &= \begin{bmatrix} 0 & 3 & 4 & 5 & 7 \end{bmatrix} \\
|
|
* \text{cscSortedVal} &= \begin{bmatrix} 1 & 3 & 5 & 4 & 6 & 2 & 7 \end{bmatrix}
|
|
* \end{align}
|
|
* \f]
|
|
*
|
|
* The CSC arrays \p cscSortedRowInd, \p cscSortedColPtr, and \p cscSortedVal must be allocated by the
|
|
* user prior to calling \p hipsparseXcsr2csc().
|
|
*
|
|
* \note
|
|
* The resulting matrix can also be seen as the transpose of the input matrix.
|
|
*
|
|
* \note
|
|
* This function is non-blocking and executed asynchronously with respect to the host.
|
|
* It can return before the actual computation has finished.
|
|
*
|
|
* \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]
|
|
* m number of rows of the sparse CSR matrix, which must be non-negative.
|
|
* @param[in]
|
|
* n number of columns of the sparse CSR matrix, which must be non-negative.
|
|
* @param[in]
|
|
* nnz number of non-zero entries of the sparse CSR matrix, which must be non-negative.
|
|
* @param[in]
|
|
* csrSortedVal array of \p nnz elements of the sparse CSR matrix.
|
|
* @param[in]
|
|
* csrSortedRowPtr array of \p m+1 elements that point to the start of every row of the
|
|
* sparse CSR matrix.
|
|
* @param[in]
|
|
* csrSortedColInd array of \p nnz elements containing the column indices of the sparse
|
|
* CSR matrix.
|
|
* @param[out]
|
|
* cscSortedVal array of \p nnz elements of the sparse CSC matrix.
|
|
* @param[out]
|
|
* cscSortedRowInd array of \p nnz elements containing the row indices of the sparse CSC
|
|
* matrix.
|
|
* @param[out]
|
|
* cscSortedColPtr array of \p n+1 elements that point to the start of every column of the
|
|
* sparse CSC matrix.
|
|
* @param[in]
|
|
* copyValues \ref HIPSPARSE_ACTION_SYMBOLIC or \ref HIPSPARSE_ACTION_NUMERIC.
|
|
* @param[in]
|
|
* idxBase index base. \ref HIPSPARSE_INDEX_BASE_ZERO for zero-based indexing or
|
|
* \ref HIPSPARSE_INDEX_BASE_ONE for one-based indexing.
|
|
*
|
|
* \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 is nullptr, \p m, \p n, or \p nnz is negative,
|
|
* \p csrSortedVal, \p csrSortedRowPtr, \p csrSortedColInd, \p cscSortedVal, \p cscSortedRowInd,
|
|
* or \p cscSortedColPtr is nullptr when \p nnz is greater than zero, \p copyValues is neither
|
|
* \ref HIPSPARSE_ACTION_SYMBOLIC nor \ref HIPSPARSE_ACTION_NUMERIC, or \p idxBase is neither
|
|
* \ref HIPSPARSE_INDEX_BASE_ZERO nor \ref HIPSPARSE_INDEX_BASE_ONE.
|
|
* \retval HIPSPARSE_STATUS_ARCH_MISMATCH the device is not supported.
|
|
* \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
|
|
*
|
|
*/
|
|
/**@{*/
|
|
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
|
|
HIPSPARSE_EXPORT
|
|
hipsparseStatus_t hipsparseScsr2csc(hipsparseHandle_t handle,
|
|
int m,
|
|
int n,
|
|
int nnz,
|
|
const float* csrSortedVal,
|
|
const int* csrSortedRowPtr,
|
|
const int* csrSortedColInd,
|
|
float* cscSortedVal,
|
|
int* cscSortedRowInd,
|
|
int* cscSortedColPtr,
|
|
hipsparseAction_t copyValues,
|
|
hipsparseIndexBase_t idxBase);
|
|
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
|
|
HIPSPARSE_EXPORT
|
|
hipsparseStatus_t hipsparseDcsr2csc(hipsparseHandle_t handle,
|
|
int m,
|
|
int n,
|
|
int nnz,
|
|
const double* csrSortedVal,
|
|
const int* csrSortedRowPtr,
|
|
const int* csrSortedColInd,
|
|
double* cscSortedVal,
|
|
int* cscSortedRowInd,
|
|
int* cscSortedColPtr,
|
|
hipsparseAction_t copyValues,
|
|
hipsparseIndexBase_t idxBase);
|
|
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
|
|
HIPSPARSE_EXPORT
|
|
hipsparseStatus_t hipsparseCcsr2csc(hipsparseHandle_t handle,
|
|
int m,
|
|
int n,
|
|
int nnz,
|
|
const hipComplex* csrSortedVal,
|
|
const int* csrSortedRowPtr,
|
|
const int* csrSortedColInd,
|
|
hipComplex* cscSortedVal,
|
|
int* cscSortedRowInd,
|
|
int* cscSortedColPtr,
|
|
hipsparseAction_t copyValues,
|
|
hipsparseIndexBase_t idxBase);
|
|
DEPRECATED_CUDA_10000("The routine will be removed in CUDA 11")
|
|
HIPSPARSE_EXPORT
|
|
hipsparseStatus_t hipsparseZcsr2csc(hipsparseHandle_t handle,
|
|
int m,
|
|
int n,
|
|
int nnz,
|
|
const hipDoubleComplex* csrSortedVal,
|
|
const int* csrSortedRowPtr,
|
|
const int* csrSortedColInd,
|
|
hipDoubleComplex* cscSortedVal,
|
|
int* cscSortedRowInd,
|
|
int* cscSortedColPtr,
|
|
hipsparseAction_t copyValues,
|
|
hipsparseIndexBase_t idxBase);
|
|
/**@}*/
|
|
#endif
|
|
|
|
#if(!defined(CUDART_VERSION) || CUDART_VERSION >= 10010)
|
|
/*! \ingroup conv_module
|
|
* \brief This function computes the size of the user-allocated temporary storage buffer used
|
|
* when converting a sparse CSR matrix into a sparse CSC matrix.
|
|
*
|
|
* \details
|
|
* \p hipsparseCsr2cscEx2_bufferSize calculates the required user allocated temporary buffer needed
|
|
* by \ref hipsparseCsr2cscEx2 to convert a CSR matrix into a CSC matrix. \ref hipsparseCsr2cscEx2
|
|
* can also be used to convert a CSC matrix into a CSR matrix. \p copyValues decides
|
|
* whether \p cscVal is being filled during conversion (\ref HIPSPARSE_ACTION_NUMERIC)
|
|
* or not (\ref HIPSPARSE_ACTION_SYMBOLIC).
|
|
*
|
|
* \note
|
|
* The resulting matrix can also be seen as the transpose of the input matrix.
|
|
*
|
|
* \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]
|
|
* n number of columns of the sparse CSR matrix.
|
|
* @param[in]
|
|
* nnz number of non-zero entries of the sparse CSR matrix.
|
|
* @param[in]
|
|
* csrVal array of \p nnz elements of the sparse CSR matrix.
|
|
* @param[in]
|
|
* csrRowPtr array of \p m+1 elements that point to the start of every row of the
|
|
* sparse CSR matrix.
|
|
* @param[in]
|
|
* csrColInd array of \p nnz elements containing the column indices of the sparse
|
|
* CSR matrix.
|
|
* @param[in]
|
|
* cscVal array of \p nnz elements of the sparse CSC matrix.
|
|
* @param[in]
|
|
* cscColPtr array of \p n+1 elements that point to the start of every column of the
|
|
* sparse CSC matrix.
|
|
* @param[in]
|
|
* cscRowInd array of \p nnz elements containing the row indices of the sparse
|
|
* CSC matrix.
|
|
* @param[in]
|
|
* valType The data type of the values arrays \p csrVal and \p cscVal. Can be HIP_R_32F,
|
|
* HIP_R_64F, HIP_C_32F, or HIP_C_64F.
|
|
* @param[in]
|
|
* copyValues \ref HIPSPARSE_ACTION_SYMBOLIC or \ref HIPSPARSE_ACTION_NUMERIC.
|
|
* @param[in]
|
|
* idxBase \ref HIPSPARSE_INDEX_BASE_ZERO or \ref HIPSPARSE_INDEX_BASE_ONE.
|
|
* @param[in]
|
|
* alg HIPSPARSE_CSR2CSC_ALG_DEFAULT, HIPSPARSE_CSR2CSC_ALG1, or HIPSPARSE_CSR2CSC_ALG2.
|
|
* @param[out]
|
|
* pBufferSizeInBytes number of bytes of the temporary storage buffer required by
|
|
* hipsparseCsr2cscEx2().
|
|
*
|
|
* \retval HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
|
|
* \retval HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p m, \p n, \p nnz, \p csrRowPtr, \p csrColInd, or
|
|
* \p pBufferSizeInBytes pointer is invalid.
|
|
* \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
|
|
*/
|
|
HIPSPARSE_EXPORT
|
|
hipsparseStatus_t hipsparseCsr2cscEx2_bufferSize(hipsparseHandle_t handle,
|
|
int m,
|
|
int n,
|
|
int nnz,
|
|
const void* csrVal,
|
|
const int* csrRowPtr,
|
|
const int* csrColInd,
|
|
void* cscVal,
|
|
int* cscColPtr,
|
|
int* cscRowInd,
|
|
hipDataType valType,
|
|
hipsparseAction_t copyValues,
|
|
hipsparseIndexBase_t idxBase,
|
|
hipsparseCsr2CscAlg_t alg,
|
|
size_t* pBufferSizeInBytes);
|
|
#endif
|
|
|
|
#if(!defined(CUDART_VERSION) || CUDART_VERSION >= 10010)
|
|
/*! \ingroup conv_module
|
|
* \brief Convert a sparse CSR matrix into a sparse CSC matrix.
|
|
*
|
|
* \details
|
|
* \p hipsparseCsr2cscEx2 converts a CSR matrix into a CSC matrix. \p hipsparseCsr2cscEx2
|
|
* can also be used to convert a CSC matrix into a CSR matrix. \p copyValues decides
|
|
* whether \p cscVal is being filled during conversion (\ref HIPSPARSE_ACTION_NUMERIC)
|
|
* or not (\ref HIPSPARSE_ACTION_SYMBOLIC).
|
|
*
|
|
* \note
|
|
* The resulting matrix can also be seen as the transpose of the input matrix.
|
|
*
|
|
* \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]
|
|
* n number of columns of the sparse CSR matrix.
|
|
* @param[in]
|
|
* nnz number of non-zero entries of the sparse CSR matrix.
|
|
* @param[in]
|
|
* csrVal array of \p nnz elements of the sparse CSR matrix.
|
|
* @param[in]
|
|
* csrRowPtr array of \p m+1 elements that point to the start of every row of the
|
|
* sparse CSR matrix.
|
|
* @param[in]
|
|
* csrColInd array of \p nnz elements containing the column indices of the sparse
|
|
* CSR matrix.
|
|
* @param[in]
|
|
* cscVal array of \p nnz elements of the sparse CSC matrix.
|
|
* @param[in]
|
|
* cscColPtr array of \p n+1 elements that point to the start of every column of the
|
|
* sparse CSC matrix.
|
|
* @param[in]
|
|
* cscRowInd array of \p nnz elements containing the row indices of the sparse
|
|
* CSC matrix.
|
|
* @param[in]
|
|
* valType The data type of the values arrays \p csrVal and \p cscVal. Can be HIP_R_32F,
|
|
* HIP_R_64F, HIP_C_32F, or HIP_C_64F.
|
|
* @param[in]
|
|
* copyValues \ref HIPSPARSE_ACTION_SYMBOLIC or \ref HIPSPARSE_ACTION_NUMERIC.
|
|
* @param[in]
|
|
* idxBase \ref HIPSPARSE_INDEX_BASE_ZERO or \ref HIPSPARSE_INDEX_BASE_ONE.
|
|
* @param[in]
|
|
* alg HIPSPARSE_CSR2CSC_ALG_DEFAULT, HIPSPARSE_CSR2CSC_ALG1 or HIPSPARSE_CSR2CSC_ALG2.
|
|
* @param[in]
|
|
* buffer temporary storage buffer allocated by the user. The size is returned by
|
|
* hipsparseCsr2cscEx2_bufferSize().
|
|
*
|
|
* \retval HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
|
|
* \retval HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p m, \p n, \p nnz, \p csrRowPtr, \p csrColInd, or
|
|
* \p pBufferSizeInBytes pointer is invalid.
|
|
* \retval HIPSPARSE_STATUS_INTERNAL_ERROR an internal error occurred.
|
|
*/
|
|
HIPSPARSE_EXPORT
|
|
hipsparseStatus_t hipsparseCsr2cscEx2(hipsparseHandle_t handle,
|
|
int m,
|
|
int n,
|
|
int nnz,
|
|
const void* csrVal,
|
|
const int* csrRowPtr,
|
|
const int* csrColInd,
|
|
void* cscVal,
|
|
int* cscColPtr,
|
|
int* cscRowInd,
|
|
hipDataType valType,
|
|
hipsparseAction_t copyValues,
|
|
hipsparseIndexBase_t idxBase,
|
|
hipsparseCsr2CscAlg_t alg,
|
|
void* buffer);
|
|
#endif
|
|
|
|
#ifdef __cplusplus
|
|
}
|
|
#endif
|
|
|
|
#endif /* HIPSPARSE_CSR2CSC_H */
|