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 17 #ifndef MINDSPORE_CCSRC_FRONTEND_OPTIMIZER_IRPASS_GRADIENT_ELIMINATE_H_ 18 #define MINDSPORE_CCSRC_FRONTEND_OPTIMIZER_IRPASS_GRADIENT_ELIMINATE_H_ 19 20 #include <vector> 21 #include <algorithm> 22 #include <memory> 23 24 #include "frontend/optimizer/optimizer.h" 25 #include "frontend/optimizer/irpass.h" 26 #include "frontend/optimizer/anf_visitor.h" 27 #include "utils/ms_utils.h" 28 #include "frontend/operator/ops.h" 29 #include "frontend/optimizer/ad/grad.h" 30 31 namespace mindspore { 32 namespace opt { 33 namespace irpass { 34 // {prim::kPrimJ, C} 35 class ExpandJPrim { 36 public: 37 ExpandJPrim() = default; 38 virtual ~ExpandJPrim() = default; 39 bool operator()(const FuncGraphPtr &func_graph, const OptimizerPtr &optimizer); 40 void GetJPrim(const FuncGraphPtr &func_graph); 41 42 private: 43 std::vector<CNodePtr> j_nodes_; 44 }; 45 } // namespace irpass 46 } // namespace opt 47 } // namespace mindspore 48 #endif // MINDSPORE_CCSRC_FRONTEND_OPTIMIZER_IRPASS_GRADIENT_ELIMINATE_H_ 49