Attention
The vector search and clustering algorithms in RAFT are being migrated to a new library dedicated to vector search called cuVS. We will continue to support the vector search algorithms in RAFT during this move, but will no longer update them after the RAPIDS 24.06 (June) release. We plan to complete the migration by RAPIDS 24.10 (October) release and they will be removed from RAFT altogether in the 24.12 (December) release.
Sparse#
Core to RAFT’s computational patterns for sparse data is its vocabulary of sparse types.
Contents:
- Sparse Types
SparsityTyperow_typecol_typennz_typeelement_typestructure_view_typeview_typestructure_typecontainer_policy_typecontainer_typesparse_structure()sparse_structure()get_nnz()get_n_rows()get_n_cols()initialize_sparsity()sparse_matrix_view()structure_view()get_elements()sparse_matrix()sparse_matrix()sparse_matrix()sparse_matrix()~sparse_matrix()view()raft::sparse_structureraft::sparse_matrix_viewraft::sparse_matrix- COO Matrix
- CSR Matrix
- Sparse Linear Algebra
csr_add_calc_inds()csr_add_finalize()coo_degree()coo_degree()coo_degree_scalar()coo_degree_scalar()coo_degree_nz()coo_degree_nz()compute_graph_laplacian()laplacian_normalized()csr_row_normalize_l1()csr_row_normalize_max()rowNormCsr()sddmm()spmm()coo_symmetrize()coo_symmetrize()symmetrize()csr_transpose()
- Sparse Matrix Operations
- Sparse Solvers