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 #ifndef MINDSPORE_CORE_OPS_RELU6_H_ 17 #define MINDSPORE_CORE_OPS_RELU6_H_ 18 #include <map> 19 #include <vector> 20 #include <string> 21 #include <memory> 22 #include "ops/primitive_c.h" 23 #include "abstract/abstract_value.h" 24 #include "utils/check_convert_utils.h" 25 26 namespace mindspore { 27 namespace ops { 28 constexpr auto kNameReLU6 = prim::kReLU6; 29 /// \brief Computes ReLU (Rectified Linear Unit) upper bounded by 6 of input tensors element-wise. 30 /// Refer to Python API @ref mindspore.ops.ReLU6 for more details. 31 class MS_CORE_API ReLU6 : public PrimitiveC { 32 public: 33 /// \brief Constructor. ReLU6()34 ReLU6() : PrimitiveC(kNameReLU6) { InitIOName({"x"}, {"output"}); } 35 /// \brief Destructor. 36 ~ReLU6() = default; 37 MS_DECLARE_PARENT(ReLU6, PrimitiveC); 38 /// \brief Init. Init()39 void Init() {} 40 }; 41 42 AbstractBasePtr ReLU6Infer(const abstract::AnalysisEnginePtr &, const PrimitivePtr &primitive, 43 const std::vector<AbstractBasePtr> &input_args); 44 using PrimReLU6Ptr = std::shared_ptr<ReLU6>; 45 } // namespace ops 46 } // namespace mindspore 47 #endif // MINDSPORE_CORE_OPS_RELU6_H_ 48