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profiling_properties.h 1.6 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_PROPERTIES_H_
  17. #define GE_COMMON_PROFILING_PROPERTIES_H_
  18. #include <mutex>
  19. #include <string>
  20. #include <vector>
  21. namespace ge {
  22. class ProfilingProperties {
  23. public:
  24. static ProfilingProperties &Instance();
  25. void SetLoadProfiling(bool is_load_profiling);
  26. bool IsLoadProfiling();
  27. void SetExecuteProfiling(bool is_execute_profiling);
  28. bool IsExecuteProfiling();
  29. void SetTrainTrace(bool is_train_trance);
  30. bool IsTrainTrace();
  31. void SetFpBpPoint(const std::string &fp_point, const std::string &bp_point);
  32. void SetDeviceId(const std::vector<int32_t> &device_id);
  33. std::vector<int32_t> GetDeviceID();
  34. private:
  35. ProfilingProperties() =default;
  36. ~ProfilingProperties() = default;
  37. std::mutex mutex_;
  38. std::mutex point_mutex_;
  39. bool is_load_profiling_ = false;
  40. bool is_execute_profiling_ = false;
  41. bool is_training_trace_ = false;
  42. std::string fp_point_;
  43. std::string bp_point_;
  44. std::vector<int32_t> device_id_;
  45. };
  46. } // namespace ge
  47. #endif // GE_COMMON_PROFILING_PROPERTIES_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