You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

l2fusion_struct.hpp 1.6 kB

5 years ago
5 years ago
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556
  1. /**
  2. * Copyright 2019-2020 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. #ifndef L2FUSION_STRUCT_HPP_
  17. #define L2FUSION_STRUCT_HPP_
  18. #include <map>
  19. #include <string>
  20. #include "runtime/kernel.h"
  21. #define L2_DYNAMIC_SPLIT_NUM
  22. using namespace std;
  23. namespace fusion {
  24. typedef struct tagL2Data {
  25. uint32_t l2Index;
  26. uint64_t l2Addr;
  27. uint64_t l2PageNum;
  28. } L2Data_t;
  29. typedef std::map<uint64_t, L2Data_t> L2DataMap_t; // the key is ddr addr
  30. typedef std::pair<uint64_t, L2Data_t> L2DataPair_t; // the key is ddr addr
  31. typedef struct TagTaskL2Info {
  32. string nodeName;
  33. rtL2Ctrl_t l2ctrl;
  34. L2DataMap_t input;
  35. L2DataMap_t output;
  36. uint32_t isUsed;
  37. } TaskL2Info_t;
  38. typedef std::map<uint32_t, TaskL2Info_t> TaskL2InfoMap_t; // the key is nodeId
  39. typedef std::pair<uint32_t, TaskL2Info_t> TaskL2InfoPair_t; // the key is nodeId
  40. typedef std::map<string, TaskL2Info_t> TaskL2InfoFEMap_t; // the key is nodeName
  41. typedef std::pair<string, TaskL2Info_t> TaskL2InfoFEPair_t; // the key is nodeName
  42. } // namespace fusion
  43. #endif // L2FUSION_STRUCT_HPP_

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示