/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #ifndef HL_SPARSE_PH_ #define HL_SPARSE_PH_ #include "hl_base.h" /** * @brief sparse matrix csr format. * * @param *csr_val nonzero values of matrix. * @param *csr_row row indices. * @param *csr_col column indices. * @param nnz_s sizeof of csr_val & csr_col. * @param row_s sizeof of csr_row. * @param sparsity sparsity pattern. * */ typedef struct { real *csr_val; int *csr_row; int *csr_col; size_t nnz_s; int row_s; float sparsity; }_hl_csr_matrix, *hl_csr_matrix; /** * @brief sparse matrix csc format. * * @param *csc_val nonzero values of matrix. * @param *csc_row row indices. * @param *csc_col column indices. * @param nnz_s sizeof of csc_val & csc_row. * @param col_s sizeof of csc_col. * @param sparsity sparsity pattern. * */ typedef struct { real *csc_val; int *csc_row; int *csc_col; size_t nnz_s; int col_s; float sparsity; }_hl_csc_matrix, *hl_csc_matrix; #define __sparse_get_type_return__(mat, type, field)\ do {\ hl_##type##_matrix type##_d = (hl_##type##_matrix)((mat)->matrix);\ if (type##_d) {\ return type##_d -> type##_##field;\ } else {\ LOG(WARNING) << "parameter " << #field << "NULL error!";\ return NULL;\ }\ } while(0) #define __sparse_get_return__(mat, field)\ do {\ if ((mat) == NULL) {\ LOG(WARNING) << "parameter NULL error!";\ return NULL;\ }\ if ((mat)->format == HL_SPARSE_CSR) {\ __sparse_get_type_return__(mat, csr, field);\ } else {\ __sparse_get_type_return__(mat, csc, field);\ }\ } while(0) #endif /* HL_SPARSE_PH_ */