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scope_guard.h 1.7 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_SCOPE_GUARD_H_
  17. #define INC_FRAMEWORK_COMMON_SCOPE_GUARD_H_
  18. #include <functional>
  19. #include <iostream>
  20. /// Usage:
  21. /// Acquire Resource 1
  22. /// MAKE_GUARD([&] { Release Resource 1 })
  23. /// Acquire Resource 2
  24. // MAKE_GUARD([&] { Release Resource 2 })
  25. #define GE_MAKE_GUARD(var, callback) ScopeGuard make_guard_##var(callback)
  26. #define GE_DISMISS_GUARD(var) make_guard_##var.Dismiss()
  27. namespace ge {
  28. class ScopeGuard {
  29. public:
  30. // Noncopyable
  31. ScopeGuard(ScopeGuard const &) = delete;
  32. ScopeGuard &operator=(ScopeGuard const &) = delete;
  33. explicit ScopeGuard(const std::function<void()> &on_exit_scope) : on_exit_scope_(on_exit_scope), dismissed_(false) {}
  34. ~ScopeGuard() {
  35. if (!dismissed_) {
  36. if (on_exit_scope_ != nullptr) {
  37. try {
  38. on_exit_scope_();
  39. } catch (std::bad_function_call &e) {
  40. } catch (...) {
  41. }
  42. }
  43. }
  44. }
  45. void Dismiss() { dismissed_ = true; }
  46. private:
  47. std::function<void()> on_exit_scope_;
  48. bool dismissed_;
  49. };
  50. } // namespace ge
  51. #endif // INC_FRAMEWORK_COMMON_SCOPE_GUARD_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