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_RESHAPE_H_ 18 #define MINDSPORE_CORE_OPS_SPARSE_RESHAPE_H_ 19 #include <memory> 20 #include <vector> 21 22 #include "abstract/abstract_value.h" 23 #include "mindapi/base/types.h" 24 #include "ops/base_operator.h" 25 26 namespace mindspore { 27 namespace ops { 28 constexpr auto kNameSparseReshape = "SparseReshape"; 29 /// \brief Reshapes a SparseTensor to represent values in a new dense shape. 30 /// Refer to Python API @ref mindspore.ops.SparseReshape for more details. 31 class MIND_API SparseReshape : public BaseOperator { 32 public: 33 /// \brief Constructor. SparseReshape()34 SparseReshape() : BaseOperator(kNameSparseReshape) { 35 InitIOName({"indices", "shape", "new_shape"}, {"y_indices", "y_shape"}); 36 } 37 MIND_API_BASE_MEMBER(SparseReshape); 38 }; 39 AbstractBasePtr SparseReshapeInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 40 const std::vector<AbstractBasePtr> &input_args); 41 } // namespace ops 42 } // namespace mindspore 43 #endif // MINDSPORE_CORE_OPS_SPARSE_RESHAPE_H_ 44