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om_file_helper.h 2.6 kB

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  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 INC_FRAMEWORK_COMMON_HELPER_OM_FILE_HELPER_H_
  17. #define INC_FRAMEWORK_COMMON_HELPER_OM_FILE_HELPER_H_
  18. #include <string>
  19. #include <vector>
  20. #include "external/ge/ge_ir_build.h"
  21. #include "framework/common/fmk_types.h"
  22. #include "framework/common/types.h"
  23. #include "framework/common/ge_types.h"
  24. using ProcParam = struct PROC_PARAM;
  25. using std::string;
  26. using std::vector;
  27. namespace ge {
  28. struct ModelPartition {
  29. ModelPartitionType type;
  30. uint8_t *data = 0;
  31. uint32_t size = 0;
  32. };
  33. struct OmFileContext {
  34. std::vector<ModelPartition> partition_datas_;
  35. std::vector<char> partition_table_;
  36. uint32_t model_data_len_;
  37. };
  38. struct SaveParam {
  39. int32_t encode_mode;
  40. std::string ek_file;
  41. std::string cert_file;
  42. std::string hw_key_file;
  43. std::string pri_key_file;
  44. std::string model_name;
  45. };
  46. class OmFileLoadHelper {
  47. public:
  48. Status Init(const ge::ModelData &model);
  49. Status Init(uint8_t *model_data, const uint32_t model_data_size);
  50. Status GetModelPartition(ModelPartitionType type, ModelPartition &partition);
  51. OmFileContext context_;
  52. private:
  53. Status CheckModelValid(const ge::ModelData &model) const;
  54. Status LoadModelPartitionTable(uint8_t *model_data, const uint32_t model_data_size);
  55. bool is_inited_{false};
  56. };
  57. class OmFileSaveHelper {
  58. public:
  59. ModelFileHeader &GetModelFileHeader() { return model_header_; }
  60. uint32_t GetModelDataSize() const { return context_.model_data_len_; }
  61. ModelPartitionTable *GetPartitionTable();
  62. Status AddPartition(ModelPartition &partition);
  63. const std::vector<ModelPartition> &GetModelPartitions() const;
  64. Status SaveModel(const SaveParam &save_param, const char *target_file, ge::ModelBufferData &model,
  65. bool is_offline = true);
  66. Status SaveModelToFile(const char *output_file, ge::ModelBufferData &model, bool is_offline = true);
  67. ModelFileHeader model_header_;
  68. OmFileContext context_;
  69. };
  70. } // namespace ge
  71. #endif // INC_FRAMEWORK_COMMON_HELPER_OM_FILE_HELPER_H_

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