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_TENSOR_SCATTER_SUB_H_ 18 #define MINDSPORE_CORE_OPS_TENSOR_SCATTER_SUB_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 kNameTensorScatterSub = "TensorScatterSub"; 28 /// \brief Creates a new tensor by subtracting the values from the positions in input_x indicated by indices, with 29 /// values from updates. Refer to Python API @ref mindspore.ops.TensorScatterSub for more details. 30 class MIND_API TensorScatterSub : public BaseOperator { 31 public: 32 MIND_API_BASE_MEMBER(TensorScatterSub); 33 /// \brief Constructor. TensorScatterSub()34 TensorScatterSub() : BaseOperator(kNameTensorScatterSub) { InitIOName({"input_x", "indices", "updates"}, {"y"}); } 35 }; 36 37 using kPrimTensorScatterSubPtr = std::shared_ptr<TensorScatterSub>; 38 } // namespace ops 39 } // namespace mindspore 40 41 #endif // MINDSPORE_CORE_OPS_TENSOR_SCATTER_SUB_H_ 42