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_CCSRC_BACKEND_OPTIMIZER_ASCEND_IR_FUSION_ADAPTIVE_MAX_POOL2D_FUSION_H_ 18 #define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_ASCEND_IR_FUSION_ADAPTIVE_MAX_POOL2D_FUSION_H_ 19 20 #include <string> 21 #include "ir/anf.h" 22 #include "include/backend/optimizer/pattern_engine.h" 23 #include "include/backend/optimizer/helper.h" 24 #include "include/backend/optimizer/optimizer.h" 25 26 namespace mindspore { 27 namespace opt { 28 class AdaptiveMaxPool2DFusion : public PatternProcessPass { 29 public: 30 explicit AdaptiveMaxPool2DFusion(const std::string &name = "adaptive_max_pool2d_fusion", bool multigraph = true) PatternProcessPass(name,multigraph)31 : PatternProcessPass(name, multigraph) {} 32 ~AdaptiveMaxPool2DFusion() override = default; 33 const BaseRef DefinePattern() const override; 34 const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override; 35 }; 36 37 class AdaptiveMaxPool2DGeFusion : public AdaptiveMaxPool2DFusion { 38 public: 39 explicit AdaptiveMaxPool2DGeFusion(bool multigraph = true) 40 : AdaptiveMaxPool2DFusion("adaptive_max_pool2d_ge_fusion", multigraph) {} 41 ~AdaptiveMaxPool2DGeFusion() override = default; 42 const BaseRef DefinePattern() const override; 43 }; 44 } // namespace opt 45 } // namespace mindspore 46 47 #endif // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_ASCEND_IR_FUSION_ADAPTIVE_MAX_POOL2D_FUSION_H_ 48