Intel® oneAPI Math Kernel Library Developer Reference - C
Creates a copy of a matrix handle.
sparse_status_t mkl_sparse_copy (const sparse_matrix_t source, const struct matrix_descr descr, sparse_matrix_t *dest);
The mkl_sparse_copy routine creates a copy of a matrix handle.
Currently, the mkl_sparse_copy routine does not support the descriptor argument and creates an exact (deep) copy of the input matrix.
Specifies handle containing internal data.
Structure specifying sparse matrix properties.
sparse_matrix_type_t type - Specifies the type of a sparse matrix:
SPARSE_MATRIX_TYPE_GENERAL |
The matrix is processed as is. |
SPARSE_MATRIX_TYPE_SYMMETRIC |
The matrix is symmetric (only the requested triangle is processed). |
SPARSE_MATRIX_TYPE_HERMITIAN |
The matrix is Hermitian (only the requested triangle is processed). |
SPARSE_MATRIX_TYPE_TRIANGULAR |
The matrix is triangular (only the requested triangle is processed). |
SPARSE_MATRIX_TYPE_DIAGONAL |
The matrix is diagonal (only diagonal elements are processed). |
SPARSE_MATRIX_TYPE_BLOCK_TRIANGULAR |
The matrix is block-triangular (only requested triangle is processed). Applies to BSR format only. |
SPARSE_MATRIX_TYPE_BLOCK_DIAGONAL |
The matrix is block-diagonal (only diagonal blocks are processed). Applies to BSR format only. |
sparse_fill_mode_t mode - Specifies the triangular matrix part for symmetric, Hermitian, triangular, and block-triangular matrices:
SPARSE_FILL_MODE_LOWER |
The lower triangular matrix part is processed. |
SPARSE_FILL_MODE_UPPER |
The upper triangular matrix part is processed. |
sparse_diag_type_t diag - Specifies diagonal type for non-general matrices:
SPARSE_DIAG_NON_UNIT |
Diagonal elements might not be equal to one. |
SPARSE_DIAG_UNIT |
Diagonal elements are equal to one. |
Handle containing internal data.
The function returns a value indicating whether the operation was successful or not, and why.
SPARSE_STATUS_SUCCESS |
The operation was successful. |
SPARSE_STATUS_NOT_INITIALIZED |
The routine encountered an empty handle or matrix array. |
SPARSE_STATUS_ALLOC_FAILED |
Internal memory allocation failed. |
SPARSE_STATUS_INVALID_VALUE |
The input parameters contain an invalid value. |
SPARSE_STATUS_EXECUTION_FAILED |
Execution failed. |
SPARSE_STATUS_INTERNAL_ERROR |
An error in algorithm implementation occurred. |
SPARSE_STATUS_NOT_SUPPORTED |
The requested operation is not supported. |