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executor.h 3.1 kB

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  1. /**
  2. * Copyright 2021 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_EXECUTOR_H
  17. #define GE_COMMON_EXECUTOR_H
  18. #include "external/ge/ge_api_types.h"
  19. #include "graph/ge_local_context.h"
  20. #include "graph/manager/graph_manager_utils.h"
  21. namespace ge {
  22. struct RunArgs {
  23. GraphNodePtr graph_node;
  24. GraphId graph_id;
  25. uint64_t session_id;
  26. struct error_message::Context error_context;
  27. std::vector<ge::Tensor> input_tensor;
  28. GeRootModelPtr ge_root_model;
  29. GEThreadLocalContext context;
  30. RunAsyncCallback callback;
  31. };
  32. class Executor {
  33. public:
  34. ///
  35. /// @ingroup ge
  36. /// @brief Load mode from graph.
  37. /// @param [in] GeRootModel: root model of graph compiled.
  38. /// @param [in] GraphNode: node of graph.
  39. /// @return Status result of function
  40. ///
  41. virtual Status LoadGraph(const GeRootModelPtr &ge_root_model, const GraphNodePtr &graph_node) = 0;
  42. ///
  43. /// @ingroup ge
  44. /// @brief Unload mode.
  45. /// @param [in] GeRootModel: root model of graph compiled.
  46. /// @param [in] graph_id: graph identifier.
  47. /// @return Status result of function
  48. ///
  49. virtual Status UnloadGraph(const GeRootModelPtr &ge_root_model, uint32_t graph_id) = 0;
  50. ///
  51. /// @ingroup ge
  52. /// @brief Push model execution params to queue.
  53. /// @param [in] RunArgs of for model execution.
  54. /// @return Status result of function
  55. ///
  56. virtual Status PushGraph(const RunArgs &args) = 0;
  57. ///
  58. /// @ingroup ge
  59. /// @brief Run graph for synchronize model.
  60. /// @param [in] graph_node: node of graph.
  61. /// @param [in] graph_id: graph identifier.
  62. /// @param [in] inputs: input data for the graph running.
  63. /// @param [out] outputs: output data of the graph running
  64. /// @return Status result of function
  65. ///
  66. virtual Status RunGraph(const GraphNodePtr &graph_node, GraphId graph_id,
  67. const std::vector<GeTensor> &inputs, std::vector<GeTensor> &outputs) = 0;
  68. ///
  69. /// @ingroup ge
  70. /// @brief Run graph for NN synchronize model.
  71. /// @param [in] graph_node: node of graph.
  72. /// @param [in] graph_id: graph identifier.
  73. /// @param [in] stream: Stream for model running.
  74. /// @param [in] inputs: input data for the graph running.
  75. /// @param [out] outputs: output data of the graph running
  76. /// @return Status result of function
  77. ///
  78. virtual Status RunGraphWithStream(const GraphNodePtr &graph_node, GraphId graph_id, rtStream_t stream,
  79. const std::vector<GeTensor> &inputs, std::vector<GeTensor> &outputs) = 0;
  80. };
  81. }
  82. #endif // GE_COMMON_EXECUTOR_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