1 /** 2 * Copyright 2020-2021 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_MOD_H_ 18 #define MINDSPORE_CORE_OPS_MOD_H_ 19 #include <memory> 20 #include <vector> 21 #include "mindapi/base/types.h" 22 #include "ops/base_operator.h" 23 24 namespace mindspore { 25 namespace ops { 26 constexpr auto kNameMod = "Mod"; 27 /// \brief Computes the remainder of dividing the first input tensor by the second input tensor element-wise. 28 /// Refer to Python API @ref mindspore.ops.Mod for more details. 29 class MIND_API Mod : public BaseOperator { 30 public: 31 MIND_API_BASE_MEMBER(Mod); 32 /// \brief Constructor. Mod()33 Mod() : BaseOperator(kNameMod) { InitIOName({"x", "y"}, {"output"}); } 34 /// \brief Init. Refer to the parameters of Python API @ref mindspore.ops.Mod for the inputs. Init()35 void Init() const {} 36 }; 37 MIND_API MIND_API abstract::AbstractBasePtr ModInfer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 38 const std::vector<abstract::AbstractBasePtr> &input_args); 39 using kPrimModPtr = std::shared_ptr<Mod>; 40 } // namespace ops 41 } // namespace mindspore 42 43 #endif // MINDSPORE_CORE_OPS_MOD_H_ 44