Developer Reference for Intel® oneAPI Math Kernel Library for C
mkl_sparse_copy
Creates a copy of a matrix handle.
Syntax
sparse_status_t mkl_sparse_copy (const sparse_matrix_t source, const struct matrix_descr descr, sparse_matrix_t *dest);
Include Files
- mkl_spblas.h
 
Description
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.
Input Parameters
- source
 -  
     
Specifies handle containing internal data.
 - descr
 -  
     
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.  
Output Parameters
- dest
 -  
     
Handle containing internal data.
 
Return Values
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.  |