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control_trigger_pass.h 2.3 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_CONTROL_TRIGGER_PASS_H_
  17. #define GE_GRAPH_PASSES_CONTROL_TRIGGER_PASS_H_
  18. #include <set>
  19. #include <string>
  20. #include <unordered_map>
  21. #include <utility>
  22. #include "inc/graph_pass.h"
  23. namespace ge {
  24. enum ControlNodeType {
  25. kNotControlOp,
  26. kCondSwitch,
  27. kCondMerge,
  28. kLoopSwitchT,
  29. kLoopSwitchF,
  30. kEnter,
  31. kInvalidType
  32. };
  33. class ControlTriggerPass : public GraphPass {
  34. public:
  35. Status Run(ComputeGraphPtr graph);
  36. Status ClearStatus() override;
  37. private:
  38. Status HandleDynamicCtrlEdges(ComputeGraphPtr &graph, NodePtr &node, NodePtr &in_ctrl_node);
  39. Status FindSwitchNode(const NodePtr &node, NodePtr &switch_node, bool &branch_flag);
  40. ControlNodeType TransferNodeType(const NodePtr &node, uint32_t index);
  41. void GetInNodes(const NodePtr &node, std::set<std::pair<NodePtr, uint32_t>> &in_nodes);
  42. Status InsertOppositeBranch(ComputeGraphPtr &graph, NodePtr &node, NodePtr &in_ctrl_node, NodePtr &switch_node,
  43. bool branch_flag);
  44. NodePtr InsertMergeNode(ComputeGraphPtr &graph, NodePtr &node, NodePtr &in_ctrl_node, const GeTensorDesc &data_desc);
  45. NodePtr InsertConstNode(ComputeGraphPtr &graph, NodePtr &merge_node, const GeTensorDesc &data_desc, bool flag);
  46. NodePtr InsertIdentityNode(ComputeGraphPtr &graph, const std::string &name, const GeTensorDesc &data_desc);
  47. Status FindPredInput(const NodePtr &switch_node);
  48. // <switch_node, pred_node>
  49. std::unordered_map<NodePtr, NodePtr> switch_cond_map_;
  50. // <ControlTrigger, <pred_node, {const_f, const_t}>>
  51. std::unordered_map<NodePtr, std::unordered_map<NodePtr, std::pair<NodePtr, NodePtr>>> control_trigger_map_;
  52. };
  53. } // namespace ge
  54. #endif // GE_GRAPH_PASSES_CONTROL_TRIGGER_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