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next_iteration_pass.h 2.8 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_GRAPH_PASSES_NEXT_ITERATION_PASS_H_
  17. #define GE_GRAPH_PASSES_NEXT_ITERATION_PASS_H_
  18. #include "inc/graph_pass.h"
  19. struct LoopCondGroup {
  20. LoopCondGroup() : loop_cond(nullptr) {}
  21. ge::NodePtr loop_cond; // LoopCond node
  22. std::vector<ge::NodePtr> enter_nodes; // Enter nodes
  23. std::vector<std::pair<ge::NodePtr, ge::NodePtr>> merge_next_pairs; // <Merge, NextIteration>
  24. };
  25. using LoopCondGroupPtr = std::shared_ptr<LoopCondGroup>;
  26. namespace ge {
  27. class NextIterationPass : public GraphPass {
  28. public:
  29. Status Run(ComputeGraphPtr graph);
  30. ///
  31. /// @brief Clear Status, used for subgraph pass
  32. /// @return SUCCESS
  33. ///
  34. Status ClearStatus() override;
  35. private:
  36. ///
  37. /// @brief Group Enter node
  38. /// @param [in] enter_node
  39. /// @return Status
  40. ///
  41. Status GroupEnterNode(const NodePtr &enter_node);
  42. ///
  43. /// @brief Find while groups
  44. /// @return Status
  45. ///
  46. Status FindWhileGroups();
  47. ///
  48. /// @brief Verify if valid
  49. /// @return bool
  50. ///
  51. bool VerifyWhileGroup();
  52. ///
  53. /// @brief Handle while group
  54. /// @param [in] graph
  55. /// @return Status
  56. ///
  57. Status HandleWhileGroup(ComputeGraphPtr &graph);
  58. ///
  59. /// @brief Create Active Node
  60. /// @param [in] graph
  61. /// @param [in] name
  62. /// @return ge::NodePtr
  63. ///
  64. NodePtr CreateActiveNode(ComputeGraphPtr &graph, const std::string &name);
  65. ///
  66. /// @brief Break NextIteration Link & add name to merge attr
  67. /// @param [in] next_node
  68. /// @param [in] merge_node
  69. /// @return Status
  70. ///
  71. Status BreakNextIteration(const NodePtr &next_node, NodePtr &merge_node);
  72. ///
  73. /// @brief find target node
  74. /// @param [in] node
  75. /// @param [in] target_type
  76. /// @param [in] is_input
  77. /// @param [in] batch_label
  78. /// @param [out] target_node
  79. /// @return Status
  80. ///
  81. Status FindTargetNode(const NodePtr &node, const std::string &target_type, bool is_input, NodePtr &target_node);
  82. // map<frame_name, LoopCondGroup>
  83. std::unordered_map<std::string, LoopCondGroupPtr> loop_group_map_;
  84. };
  85. } // namespace ge
  86. #endif // GE_GRAPH_PASSES_NEXT_ITERATION_PASS_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