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_MUL_H_ 18 #define MINDSPORE_CORE_OPS_TENSOR_SCATTER_MUL_H_ 19 20 #include <memory> 21 #include <vector> 22 #include "mindapi/base/types.h" 23 #include "ops/base_operator.h" 24 25 namespace mindspore { 26 namespace ops { 27 constexpr auto kNameTensorScatterMul = "TensorScatterMul"; 28 /// \brief By multiple the value at the position indicated by the index in input_x with the value in the update, the 29 /// value at the index will eventually be equal to the largest one to create a new tensor. 30 class MIND_API TensorScatterMul : public BaseOperator { 31 public: 32 MIND_API_BASE_MEMBER(TensorScatterMul); 33 /// \brief Constructor. TensorScatterMul()34 TensorScatterMul() : BaseOperator(kNameTensorScatterMul) { InitIOName({"input_x", "indices", "updates"}, {"y"}); } 35 }; 36 using kPrimTensorScatterMulPtr = std::shared_ptr<TensorScatterMul>; 37 } // namespace ops 38 } // namespace mindspore 39 40 #endif // MINDSPORE_CORE_OPS_TENSOR_SCATTER_MUL_H_ 41