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params.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_GRAPH_OPTIMIZE_COMMON_PARAMS_H_
  17. #define GE_GRAPH_OPTIMIZE_COMMON_PARAMS_H_
  18. #include <string>
  19. #include "common/singleton.h"
  20. #include "common/types.h"
  21. namespace ge {
  22. class Params : public Singleton<Params> {
  23. public:
  24. DECLARE_SINGLETON_CLASS(Params);
  25. void SetTarget(const char* target) {
  26. std::string tmp_target = (target != nullptr) ? target : "";
  27. #if defined(__ANDROID__) || defined(ANDROID)
  28. target_ = "LITE";
  29. target_8bit_ = TARGET_TYPE_LTTE_8BIT;
  30. #else
  31. target_ = "MINI";
  32. target_8bit_ = TARGET_TYPE_MINI_8BIT;
  33. #endif
  34. if (tmp_target == "mini") {
  35. target_ = "MINI";
  36. target_8bit_ = TARGET_TYPE_MINI_8BIT;
  37. } else if (tmp_target == "lite") {
  38. target_ = "LITE";
  39. target_8bit_ = TARGET_TYPE_LTTE_8BIT;
  40. }
  41. }
  42. string GetTarget() const { return target_; }
  43. uint8_t GetTarget_8bit() const { return target_8bit_; }
  44. ~Params() override = default;
  45. private:
  46. Params() : target_("MINI") {}
  47. string target_;
  48. uint8_t target_8bit_ = TARGET_TYPE_MINI_8BIT;
  49. };
  50. } // namespace ge
  51. #endif // GE_GRAPH_OPTIMIZE_COMMON_PARAMS_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