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kernel_factory.h 3.1 kB

5 years ago
5 years ago
5 years ago
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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 GE_INC_KERNEL_FACTORY_H_
  17. #define GE_INC_KERNEL_FACTORY_H_
  18. #include <functional>
  19. #include <map>
  20. #include <memory>
  21. #include <string>
  22. #include "common/ge/ge_util.h"
  23. #include "framework/common/debug/ge_log.h"
  24. #include "external/graph/graph.h"
  25. using std::string;
  26. namespace ge {
  27. class Kernel;
  28. ///
  29. /// @ingroup domi_omg
  30. /// @brief kernel create factory
  31. /// @author
  32. ///
  33. class KernelFactory {
  34. public:
  35. // KernelCreator(function), type definition
  36. using KERNEL_CREATOR_FUN = std::function<std::shared_ptr<Kernel>(void)>;
  37. ///
  38. /// Get singleton instance
  39. ///
  40. static KernelFactory &Instance() {
  41. static KernelFactory instance;
  42. return instance;
  43. }
  44. ///
  45. /// create Kernel
  46. /// @param [in] op_type operation type
  47. ///
  48. std::shared_ptr<Kernel> Create(const std::string &op_type) {
  49. std::map<std::string, KERNEL_CREATOR_FUN>::iterator iter = creator_map_.find(op_type);
  50. if (iter != creator_map_.end()) {
  51. return iter->second();
  52. }
  53. return nullptr;
  54. }
  55. // Kernel registration function to register different types of kernel to the factory
  56. class Registerar {
  57. public:
  58. ///
  59. /// @ingroup domi_omg
  60. /// @brief Constructor
  61. /// @param [in] type operation type
  62. /// @param [in| fun kernel function of the operation
  63. ///
  64. Registerar(const string &type, const KERNEL_CREATOR_FUN &fun) {
  65. KernelFactory::Instance().RegisterCreator(type, fun);
  66. }
  67. ~Registerar() {}
  68. };
  69. protected:
  70. KernelFactory() {}
  71. ~KernelFactory() {}
  72. // register creator, this function will call in the constructor
  73. void RegisterCreator(const string &type, const KERNEL_CREATOR_FUN &fun) {
  74. std::map<std::string, KERNEL_CREATOR_FUN>::iterator iter = creator_map_.find(type);
  75. if (iter != creator_map_.end()) {
  76. GELOGD("KernelFactory::RegisterCreator: %s creator already exist", type.c_str());
  77. return;
  78. }
  79. creator_map_[type] = fun;
  80. }
  81. private:
  82. std::map<std::string, KERNEL_CREATOR_FUN> creator_map_;
  83. };
  84. #define REGISTER_KERNEL(type, clazz) \
  85. std::shared_ptr<Kernel> Creator_##type##_Kernel() { \
  86. std::shared_ptr<clazz> ptr = nullptr; \
  87. ptr = MakeShared<clazz>(); \
  88. return ptr; \
  89. } \
  90. KernelFactory::Registerar g_##type##_Kernel_Creator(type, Creator_##type##_Kernel)
  91. } // namespace ge
  92. #endif // GE_INC_KERNEL_FACTORY_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