1 /** 2 * Copyright 2023 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_LITE_TOOLS_OPTIMIZER_GRAPH_MINIATURIZATION_PASS_H 18 #define MINDSPORE_LITE_TOOLS_OPTIMIZER_GRAPH_MINIATURIZATION_PASS_H 19 #include "include/backend/optimizer/pass.h" 20 21 namespace mindspore::opt { 22 class MiniaturizationPass : public Pass { 23 public: MiniaturizationPass()24 MiniaturizationPass() : Pass("MiniaturizationPass") {} 25 26 ~MiniaturizationPass() = default; 27 28 bool Run(const FuncGraphPtr &func_graph) override; 29 30 private: 31 bool NeedCompress(const tensor::TensorPtr &tensor); 32 bool ProcessOneCNode(const FuncGraphPtr &func_graph, const CNodePtr &cnode); 33 static const ssize_t COMPRESS_TRIGGER_SIZE_ = 512; 34 }; 35 } // namespace mindspore::opt 36 37 #endif // MINDSPORE_LITE_TOOLS_OPTIMIZER_GRAPH_MINIATURIZATION_PASS_H 38