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_UNIQUE_H_ 18 #define MINDSPORE_CORE_OPS_UNIQUE_H_ 19 #include "mindapi/base/types.h" 20 #include "ops/base_operator.h" 21 22 namespace mindspore { 23 namespace ops { 24 constexpr auto kNameUnique = "Unique"; 25 /// \brief Returns the unique elements of input tensor and also returns a tensor containing 26 /// the index of each value of input tensor corresponding to the output unique tensor. 27 /// Refer to Python API @ref mindspore.ops.Unique for more details. 28 class MIND_API Unique : public BaseOperator { 29 public: 30 MIND_API_BASE_MEMBER(Unique); 31 /// \brief Constructor. Unique()32 Unique() : BaseOperator(kNameUnique) { InitIOName({"x", "y"}, {"output"}); } 33 /// \brief Init. Init()34 void Init() const {} 35 }; 36 } // namespace ops 37 } // namespace mindspore 38 39 #endif // MINDSPORE_CORE_OPS_UNIQUE_H_ 40