1 /** 2 * Copyright 2020 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_TO_DENSE_H_ 18 #define MINDSPORE_CORE_OPS_SPARSE_TO_DENSE_H_ 19 #include <memory> 20 #include <vector> 21 22 #include "mindapi/base/types.h" 23 #include "ops/base_operator.h" 24 25 namespace mindspore { 26 namespace ops { 27 constexpr auto kNameSparseToDense = "SparseToDense"; 28 /// \brief Converts a sparse representation into a dense tensor. 29 /// Refer to Python API @ref mindspore.ops.SparseToDense for more details. 30 class MIND_API SparseToDense : public BaseOperator { 31 public: 32 MIND_API_BASE_MEMBER(SparseToDense); 33 /// \brief Constructor. SparseToDense()34 SparseToDense() : BaseOperator(kNameSparseToDense) { InitIOName({"indices", "values", "dense_shape"}, {"output"}); } 35 /// \brief Init. Init()36 void Init() const {} 37 }; 38 MIND_API abstract::AbstractBasePtr SparseToDenseInfer(const abstract::AnalysisEnginePtr &, 39 const PrimitivePtr &primitive, 40 const std::vector<abstract::AbstractBasePtr> &input_args); 41 } // namespace ops 42 } // namespace mindspore 43 44 #endif // MINDSPORE_CORE_OPS_SPARSE_TO_DENSE_H_ 45