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_CCSRC_BACKEND_OPTIMIZER_GPU_APPLY_MOMENTUM_WEIGHT_DECAY_FUSION_H_ 17 #define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GPU_APPLY_MOMENTUM_WEIGHT_DECAY_FUSION_H_ 18 19 #include <memory> 20 #include "backend/optimizer/common/optimizer.h" 21 22 namespace mindspore { 23 namespace opt { 24 class ApplyMomentumWeightDecayFusion : public PatternProcessPass { 25 public: 26 explicit ApplyMomentumWeightDecayFusion(bool multigraph = true) 27 : PatternProcessPass("momentum_weightdecay_fusion", multigraph) { 28 monad_ = std::make_shared<Var>(); 29 weight_decay_ = std::make_shared<Var>(); 30 variable_ = std::make_shared<Var>(); 31 accumulation_ = std::make_shared<Var>(); 32 learning_rate_ = std::make_shared<Var>(); 33 gradient_ = std::make_shared<Var>(); 34 momentum_ = std::make_shared<Var>(); 35 monad_state_ = std::make_shared<Var>(); 36 } 37 ~ApplyMomentumWeightDecayFusion() override = default; 38 const BaseRef DefinePattern() const override; 39 const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override; 40 41 private: 42 VarPtr monad_; 43 VarPtr weight_decay_; 44 VarPtr variable_; 45 VarPtr accumulation_; 46 VarPtr learning_rate_; 47 VarPtr gradient_; 48 VarPtr momentum_; 49 VarPtr monad_state_; 50 }; 51 } // namespace opt 52 } // namespace mindspore 53 #endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_GPU_APPLY_MOMENTUM_WEIGHT_DECAY_FUSION_H_ 54