bicg1 cg1 coo_csr csr_coo csr_dense csr_dusmm csr_dusmv csr_dussm csr_dussv csr_ssr csr_trans dense_csr ssr_csr ssr_dusmv

coo_csr() def coo_csr ( m  , n  , nnz  , val  , rowind  , colind  , base  , val2  , rowptr2  , colind2  , base2    ) COO -> CSR Purpose This routine converts the sparse matrix in COO format to the sparse matrix in CSR format. The order of elements in each row of output matrix will be same as input matrix. Returns info (int) = 0: Successful exit. = i < 0: The (-i)-th argument is invalid. Parameters [in] m Number of rows of the matrix. (m >= 0) (if m = 0, returns without computation) [in] n Number of columns of the matrix. (n >= 0) (if n = 0, returns without computation) [in] nnz Number of nonzero elements in the matrix. [in] val Numpy ndarray (1-dimensional, float, nnz) Values of nonzero elements of input matrix. [in] rowind Numpy ndarray (1-dimensional, int32, nnz) Row indices of input matrix. [in] colind Numpy ndarray (1-dimensional, int32, nnz) Column indices of input matrix. [in] base Indexing of rowind and colind. = 0: Zero-based (C style) indexing: Starting index is 0. = 1: One-based (Fortran style) indexing: Starting index is 1. [out] val2 Numpy ndarray (1-dimensional, float, nnz) Values of nonzero elements of output matrix. [out] rowptr2 Numpy ndarray (1-dimensional, int32, m + 1) Row pointers of output matrix. [out] colind2 Numpy ndarray (1-dimensional, int32, nnz) Column indices of output matrix. [in] base2 Indexing of colind2 and rowptr2. = 0: Zero-based (C style) indexing: Starting index is 0. = 1: One-based (Fortran style) indexing: Starting index is 1.