1 /** 2 * Copyright 2024 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_FRONTEND_PARALLEL_CAME_PARALLEL_HANDLER_H_ 17 #define MINDSPORE_CCSRC_FRONTEND_PARALLEL_CAME_PARALLEL_HANDLER_H_ 18 19 #include <string> 20 #include <vector> 21 22 #include <set> 23 #include <utility> 24 #include <memory> 25 #include <unordered_map> 26 #include "base/base.h" 27 #include "frontend/parallel/device_manager.h" 28 #include "frontend/parallel/tensor_layout/tensor_layout.h" 29 30 namespace mindspore { 31 namespace parallel { 32 using TensorLayoutPtr = std::shared_ptr<TensorLayout>; 33 34 constexpr size_t kFirstCameReduceMean = 1; 35 constexpr size_t kSecondCameReduceMean = 2; 36 constexpr size_t kThirdCameReduceMean = 3; 37 constexpr size_t kForthCameReduceMean = 4; 38 constexpr size_t kFifthCameReduceMean = 5; 39 constexpr size_t kSixthCameReduceMean = 6; 40 constexpr size_t kSeventhCameReduceMean = 7; 41 constexpr size_t kParameterDimTwo = 2; 42 43 constexpr char EXP_AVG[] = "exp_avg"; 44 constexpr char EXP_AVG_SQ_ROW[] = "exp_avg_sq_row_"; 45 constexpr char EXP_AVG_SQ_COL[] = "exp_avg_sq_col_"; 46 constexpr char EXP_AVG_INSTA_ROW[] = "exp_avg_insta_row_"; 47 constexpr char EXP_AVG_INSTA_COL[] = "exp_avg_insta_col_"; 48 constexpr char EXP_AVG_SQ[] = "exp_avg_sq_"; 49 50 class CameCommHandler { 51 public: 52 CameCommHandler(ParameterPtr origin, const std::vector<AnfNodePtr> &all_parameters, 53 const NodeUsersMap &node_user_map); 54 void Process(); 55 56 private: 57 ParameterPtr origin; 58 const std::vector<AnfNodePtr> &all_parameters; 59 TensorLayoutPtr tensor_layout; 60 const NodeUsersMap &node_user_map; 61 62 int64_t cur_rank = -1; 63 DeviceMatrix dev_matrix; 64 RankList full_rank_list; 65 66 bool is_opt_shard = false; 67 68 ParameterPtr exp_avg_sq_row = nullptr; 69 ParameterPtr exp_avg_sq_col = nullptr; 70 ParameterPtr exp_avg = nullptr; 71 ParameterPtr exp_avg_insta_row = nullptr; 72 ParameterPtr exp_avg_insta_col = nullptr; 73 74 std::set<size_t> reduce_mean_numbers = {kFirstCameReduceMean, kSecondCameReduceMean, kThirdCameReduceMean, 75 kForthCameReduceMean, kFifthCameReduceMean, kSixthCameReduceMean, 76 kSeventhCameReduceMean}; 77 78 void FindCameParams(); 79 80 CNodePtr FindReduceMean(size_t number); 81 CNodePtr FindReduceMean1256(const ParameterPtr ¶m); 82 CNodePtr FindReduceMean37(const ParameterPtr ¶m); 83 CNodePtr FindReduceMean4(); 84 85 std::pair<Status, RankList> GetOptShardRankList(const int64_t rank); 86 std::pair<Status, RankList> GetDimRankList(const int64_t rank, const int64_t dim); 87 88 RankList ExpandRankListWithOptShard(const RankList &rank_list); 89 RankList ExpandRankListWithDim(const RankList &base, const int64_t dim); 90 91 std::string CreateCommGroupFromRankList(const RankList &rank_list); 92 void InsertAllReduceAndRealDivToReduceMeanInput(CNodePtr reduce_mean, const RankList &comm_rank_list); 93 }; 94 } // namespace parallel 95 } // namespace mindspore 96 97 #endif // MINDSPORE_CCSRC_FRONTEND_PARALLEL_CAME_PARALLEL_HANDLER_H_ 98