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hybrid_model.h 3.1 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 GE_HYBRID_HYBRID_GRAPH_H_
  17. #define GE_HYBRID_HYBRID_GRAPH_H_
  18. #include <vector>
  19. #include <queue>
  20. #include <memory>
  21. #include "framework/common/ge_inner_error_codes.h"
  22. #include "graph/load/new_model_manager/data_inputer.h"
  23. #include "graph/load/new_model_manager/task_info/task_info.h"
  24. #include "graph/node.h"
  25. #include "hybrid/common/tensor_value.h"
  26. #include "hybrid/model/node_item.h"
  27. #include "hybrid/model/graph_item.h"
  28. #include "model/ge_root_model.h"
  29. namespace ge {
  30. namespace hybrid {
  31. class HybridModel {
  32. public:
  33. explicit HybridModel(GeRootModelPtr ge_model);
  34. ~HybridModel();
  35. Status Init();
  36. const NodeItem *GetNodeItem(const NodePtr &node) const;
  37. uint64_t GetSessionId() const { return root_runtime_param_.session_id; }
  38. GeModelPtr GetGeModel(const NodePtr &node) const;
  39. NodeItem *MutableNodeItem(const NodePtr &node);
  40. size_t TotalVarMemSize() const { return root_runtime_param_.var_size; }
  41. const uint8_t *GetVarMemBase() const { return var_mem_base_; }
  42. void SetDeviceId(uint32_t device_id) { device_id_ = device_id; }
  43. void SetModelId(uint32_t model_id) { model_id_ = model_id; }
  44. uint32_t GetModelId() const { return model_id_; }
  45. TensorValue *GetVariable(const string &name) const;
  46. NodePtr GetVariableNode(const string &name) const;
  47. const std::vector<domi::TaskDef> *GetTaskDefs(const NodePtr &node) const;
  48. const GraphItem *GetRootGraphItem() const;
  49. const GraphItem *GetSubgraphItem(const std::string &graph_name) const;
  50. const GraphItem *GetSubgraphItem(const ComputeGraphPtr &subgraph) const;
  51. const string &GetModelName() const;
  52. private:
  53. friend class HybridModelBuilder;
  54. friend class HybridModelAsyncExecutor;
  55. std::string model_name_;
  56. GeRootModelPtr ge_root_model_;
  57. std::map<uint32_t, NodeItem *> input_nodes_;
  58. std::map<std::string, NodePtr> constant_op_nodes_;
  59. std::map<std::string, NodePtr> variable_nodes_;
  60. std::map<std::string, std::unique_ptr<TensorValue>> variable_tensors_;
  61. std::map<NodePtr, std::vector<domi::TaskDef>> task_defs_;
  62. std::map<NodePtr, GeModelPtr> known_shape_sub_models_;
  63. std::unique_ptr<GraphItem> root_graph_item_;
  64. std::map<std::string, std::unique_ptr<GraphItem>> subgraph_items_;
  65. std::map<NodePtr, std::unique_ptr<NodeItem>> node_items_;
  66. // runtime fields
  67. uint32_t device_id_ = 0;
  68. uint32_t model_id_ = 0;
  69. uint8_t *var_mem_base_ = nullptr;
  70. RuntimeParam root_runtime_param_;
  71. };
  72. } // namespace hybrid
  73. } // namespace ge
  74. #endif // GE_HYBRID_HYBRID_GRAPH_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