/** * Copyright (c) 2021-2022 Huawei Device Co., Ltd. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef COMPILER_OPTIMIZER_OPTIMIZATIONS_REDUNDANTLOOPELIMINATIONS_H_ #define COMPILER_OPTIMIZER_OPTIMIZATIONS_REDUNDANTLOOPELIMINATIONS_H_ #include "optimizer/pass.h" #include "optimizer/optimizations/loop_transform.h" namespace panda::compiler { class RedundantLoopElimination : public LoopTransform { public: explicit RedundantLoopElimination(Graph *graph) : LoopTransform(graph) {} NO_MOVE_SEMANTIC(RedundantLoopElimination); NO_COPY_SEMANTIC(RedundantLoopElimination); ~RedundantLoopElimination() override = default; bool RunImpl() override; const char *GetPassName() const override { return "RedundantLoopElimination"; } bool IsApplied() const { return is_applied_; } void InvalidateAnalyses() override; private: bool TransformLoop(Loop *loop) override; BasicBlock *IsRedundant(Loop *loop) const; void DeleteLoop(Loop *loop, BasicBlock *outside_succ) const; bool is_applied_ {false}; }; } // namespace panda::compiler #endif // COMPILER_OPTIMIZER_OPTIMIZATIONS_REDUNDANTLOOPELIMINATIONS_H_