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_SEGMENT_SUM_H_ 18 #define MINDSPORE_CORE_OPS_SPARSE_SEGMENT_SUM_H_ 19 #include <map> 20 #include <memory> 21 #include <set> 22 #include <string> 23 #include <vector> 24 #include "abstract/abstract_value.h" 25 #include "ops/base_operator.h" 26 #include "utils/check_convert_utils.h" 27 28 namespace mindspore { 29 namespace ops { 30 constexpr auto kNameSparseSegmentSum = "SparseSegmentSum"; 31 /// \brief Computes the sum along sparse segments of a tensor. 32 /// Refer to Python API @ref mindspore.ops.SparseSegmentSum for more details. 33 class MIND_API SparseSegmentSum : public BaseOperator { 34 public: 35 MIND_API_BASE_MEMBER(SparseSegmentSum); 36 /// \brief Constructor. SparseSegmentSum()37 SparseSegmentSum() : BaseOperator(kNameSparseSegmentSum) { InitIOName({"x", "indices", "segment_ids"}, {"y"}); } 38 }; 39 40 AbstractBasePtr SparseSegmentSumInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 41 const std::vector<AbstractBasePtr> &input_args); 42 } // namespace ops 43 } // namespace mindspore 44 45 #endif // MINDSPORE_CORE_OPS_SPARSE_SEGMENT_SUM_H_ 46