1 /** 2 * Copyright 2022 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef MINDSPORE_CORE_OPS_SPARSE_MATRIX_MUL_H_ 18 #define MINDSPORE_CORE_OPS_SPARSE_MATRIX_MUL_H_ 19 #include <memory> 20 #include <vector> 21 #include "mindapi/base/types.h" 22 #include "ops/base_operator.h" 23 24 namespace mindspore { 25 namespace ops { 26 constexpr auto kNameSparseMatrixMul = "SparseMatrixMul"; 27 /// \brief Computes the elementwise multiply between csr sparse and dense matrix. 28 /// Refer to Python API @ref mindspore.ops.SparseMatrixMul for 29 /// more details. 30 class MIND_API SparseMatrixMul : public BaseOperator { 31 public: 32 MIND_API_BASE_MEMBER(SparseMatrixMul); 33 /// \brief Constructor. SparseMatrixMul()34 SparseMatrixMul() : BaseOperator(kNameSparseMatrixMul) { 35 InitIOName({"a_shape", "a_batch_pointers", "a_indptr", "a_indices", "a_values", "b_dense"}, 36 {"c_shape", "c_batch_pointers", "c_indptr", "c_indices", "c_values"}); 37 } 38 /// \brief Init. 39 /// Refer to the parameters of python API @ref 40 /// mindspore.ops._csr_ops.SparseMatrixMul for the inputs. Init()41 void Init() const {} 42 }; 43 } // namespace ops 44 } // namespace mindspore 45 46 #endif // MINDSPORE_CORE_OPS_SPARSE_MATRIX_MUL_H_ 47