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node_item.h 2.6 kB

4 years ago
4 years ago
4 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_HYBRID_MODEL_NODE_ITEM_H_
  17. #define GE_HYBRID_MODEL_NODE_ITEM_H_
  18. #include <vector>
  19. #include "external/ge/ge_api_error_codes.h"
  20. #include "graph/node.h"
  21. #include "graph/op_desc.h"
  22. #include "framework/common/types.h"
  23. #include "hybrid/common/tensor_value.h"
  24. namespace ge {
  25. namespace hybrid {
  26. class NodeTask;
  27. class NodeExecutor;
  28. struct FusedSubgraph {
  29. std::map<uint32_t, std::vector<GeTensorDescPtr>> input_mapping;
  30. std::map<uint32_t, OpDescPtr> output_mapping;
  31. std::vector<NodePtr> nodes;
  32. ComputeGraphPtr graph;
  33. };
  34. bool IsControlOp(const std::string &op_type);
  35. // for caching static information across execution
  36. struct NodeItem {
  37. explicit NodeItem(NodePtr node);
  38. ~NodeItem() = default;
  39. Status Init();
  40. const std::string &NodeName() const {
  41. return node_name;
  42. }
  43. const std::string &NodeType() const {
  44. return node_type;
  45. }
  46. bool IsControlOp() const;
  47. void SetToDynamic();
  48. std::string DebugString() const;
  49. NodePtr node;
  50. OpDesc *op_desc;
  51. int node_id;
  52. int num_inputs;
  53. int num_outputs;
  54. int input_start = -1;
  55. int output_start = -1;
  56. bool is_dynamic = false;
  57. bool has_observer = false;
  58. UnknowShapeOpType shape_inference_type = DEPEND_IN_SHAPE;
  59. std::string node_name;
  60. std::string node_type;
  61. std::vector<ge::NodePtr> dependents_for_shape_inference;
  62. std::vector<ge::NodePtr> dependents_for_execution;
  63. std::set<int> to_const_output_id_list;
  64. vector<NodeItem *> inputs;
  65. // src_output_id, dst_anchor_id, dst_node
  66. vector<vector<pair<uint32_t, NodeItem *>>> outputs;
  67. std::shared_ptr<NodeTask> kernel_task;
  68. std::unique_ptr<FusedSubgraph> fused_subgraph;
  69. const NodeExecutor *node_executor = nullptr;
  70. std::map<int, ge::NodePtr> ref_outputs;
  71. std::map<int, int> reuse_inputs;
  72. std::map<int, int> reuse_outputs;
  73. std::vector<bool> is_input_shape_static;
  74. bool is_output_shape_static = true;
  75. int num_static_input_shapes = 0;
  76. };
  77. } // namespace hybrid
  78. } // namespace ge
  79. #endif // GE_HYBRID_MODEL_NODE_ITEM_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