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ge_local_engine.h 3.5 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_GE_LOCAL_ENGINE_ENGINE_GE_LOCAL_ENGINE_H_
  17. #define GE_GE_LOCAL_ENGINE_ENGINE_GE_LOCAL_ENGINE_H_
  18. #include <map>
  19. #include <memory>
  20. #include <string>
  21. #include "common/opskernel/ops_kernel_info_store.h"
  22. #include "common/optimizer/graph_optimizer.h"
  23. using OpsKernelInfoStorePtr = std::shared_ptr<ge::OpsKernelInfoStore>;
  24. using GraphOptimizerPtr = std::shared_ptr<ge::GraphOptimizer>;
  25. namespace ge {
  26. namespace ge_local {
  27. /**
  28. * ge local engine.
  29. * Used for the ops not belong to any engine. eg:netoutput
  30. */
  31. class GeLocalEngine {
  32. public:
  33. /**
  34. * get GeLocalEngine instance.
  35. * @return GeLocalEngine instance.
  36. */
  37. static GeLocalEngine &Instance();
  38. virtual ~GeLocalEngine() = default;
  39. /**
  40. * When Ge start, GE will invoke this interface
  41. * @return The status whether initialize successfully
  42. */
  43. Status Initialize(const std::map<string, string> &options);
  44. /**
  45. * After the initialize, GE will invoke this interface
  46. * to get the Ops kernel Store.
  47. * @param ops_kernel_map The ge local's ops kernel info
  48. */
  49. void GetOpsKernelInfoStores(std::map<std::string, OpsKernelInfoStorePtr> &ops_kernel_map);
  50. /**
  51. * After the initialize, GE will invoke this interface
  52. * to get the Graph Optimizer.
  53. * @param graph_optimizers The ge local's Graph Optimizer objs
  54. */
  55. void GetGraphOptimizerObjs(std::map<std::string, GraphOptimizerPtr> &graph_optimizers);
  56. /**
  57. * When the graph finished, GE will invoke this interface
  58. * @return The status whether initialize successfully
  59. */
  60. Status Finalize();
  61. // Copy prohibited
  62. GeLocalEngine(const GeLocalEngine &geLocalEngine) = delete;
  63. // Move prohibited
  64. GeLocalEngine(const GeLocalEngine &&geLocalEngine) = delete;
  65. // Copy prohibited
  66. GeLocalEngine &operator=(const GeLocalEngine &geLocalEngine) = delete;
  67. // Move prohibited
  68. GeLocalEngine &operator=(GeLocalEngine &&geLocalEngine) = delete;
  69. private:
  70. GeLocalEngine() = default;
  71. OpsKernelInfoStorePtr ops_kernel_store_ = nullptr;
  72. };
  73. } // namespace ge_local
  74. } // namespace ge
  75. extern "C" {
  76. /**
  77. * When Ge start, GE will invoke this interface
  78. * @return The status whether initialize successfully
  79. */
  80. ge::Status Initialize(const map<string, string> &options);
  81. /**
  82. * After the initialize, GE will invoke this interface to get the Ops kernel Store
  83. * @param ops_kernel_map The ge local's ops kernel info
  84. */
  85. void GetOpsKernelInfoStores(std::map<std::string, OpsKernelInfoStorePtr> &ops_kernel_map);
  86. /**
  87. * After the initialize, GE will invoke this interface to get the Graph Optimizer
  88. * @param graph_optimizers The ge local's Graph Optimizer objs
  89. */
  90. void GetGraphOptimizerObjs(std::map<std::string, GraphOptimizerPtr> &graph_optimizers);
  91. /**
  92. * When the graph finished, GE will invoke this interface
  93. * @return The status whether initialize successfully
  94. */
  95. ge::Status Finalize();
  96. }
  97. #endif // GE_GE_LOCAL_ENGINE_ENGINE_GE_LOCAL_ENGINE_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