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profiling_init.h 1.7 kB

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  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. #ifndef GE_COMMON_PROFILING_PROFILING_INIT_H_
  17. #define GE_COMMON_PROFILING_PROFILING_INIT_H_
  18. #include <vector>
  19. #include <nlohmann/json.hpp>
  20. #include <string>
  21. #include "common/profiling/profiling_properties.h"
  22. #include "framework/common/ge_inner_error_codes.h"
  23. #include "framework/common/ge_types.h"
  24. #include "toolchain/prof_callback.h"
  25. using std::map;
  26. using std::string;
  27. using std::vector;
  28. using Json = nlohmann::json;
  29. namespace ge {
  30. class ProfilingInit {
  31. public:
  32. static ProfilingInit &Instance();
  33. Status Init(const Options &options);
  34. void StopProfiling();
  35. Status ProfRegisterCtrlCallback();
  36. void ShutDownProfiling();
  37. Status SetDeviceIdByModelId(uint32_t model_id, uint32_t &device_id);
  38. Status UnsetDeviceIdByModelId(uint32_t model_id, uint32_t &device_id);
  39. private:
  40. ProfilingInit() = default;
  41. ~ProfilingInit() = default;
  42. Status InitFromOptions(const Options &options, MsprofGeOptions &prof_conf, bool &is_execute_profiling);
  43. Status ParseOptions(const std::string &options);
  44. uint64_t GetProfilingModule();
  45. };
  46. } // namespace ge
  47. #endif // GE_COMMON_PROFILING_PROFILING_INIT_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