You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

variable_prepare_op_pass.h 2.6 kB

5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556
  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_VARIABLE_PREPARE_OP_PASS_H_
  17. #define GE_GRAPH_PASSES_VARIABLE_PREPARE_OP_PASS_H_
  18. #include <map>
  19. #include <stack>
  20. #include <string>
  21. #include "framework/common/ge_inner_error_codes.h"
  22. #include "inc/graph_pass.h"
  23. namespace ge {
  24. class VariablePrepareOpPass : public GraphPass {
  25. public:
  26. Status Run(ge::ComputeGraphPtr graph);
  27. private:
  28. Status DealVariableNode(ge::NodePtr &node);
  29. Status DealWritableNode(const ge::NodePtr &writable_node, int input_index, int output_index,
  30. const ge::NodePtr &var_node);
  31. Status GetPeerNodeOfRefOutput(const ge::NodePtr &node, int output_index,
  32. std::stack<pair<NodePtr, pair<int, int>>> &nodes);
  33. Status AddVariableRef(ge::NodePtr &node, const ge::NodePtr &var_node, int index);
  34. Status InsertVariableRef(ge::NodePtr &node, int in_index, const ge::NodePtr &var_node);
  35. Status AddControlEdge(const ge::NodePtr &node, const ge::NodePtr &variable_ref_node);
  36. NodePtr CreateVariableRef(const std::string &variable_ref_name, const ge::NodePtr &var_node);
  37. NodePtr CreateRefIdentity(const std::string &ref_identity_name, const ge::NodePtr &node, uint32_t input_index);
  38. void GetWritableNodeOutIndex(const NodePtr &node, int input_index, std::vector<int> &output_indexes);
  39. void GenerateRefTypeAndInputOutputMap(const NodePtr &node);
  40. void FindRefOutIndex(const std::string &node_type, int input_index,
  41. const std::map<std::string, std::map<int, vector<int>>> &ref_map,
  42. std::vector<int> &output_indexes);
  43. Status CheckStreamLabel(const ge::NodePtr &var_ref_node, const ge::NodePtr &final_writable_node);
  44. bool HasControlOut(const ge::NodePtr &node);
  45. std::map<std::string, std::map<int, std::vector<int>>> ref_input_output_map_;
  46. static std::map<std::string, std::map<int, std::vector<int>>> ref_node_without_prototype_map_;
  47. };
  48. } // namespace ge
  49. #endif // GE_GRAPH_PASSES_VARIABLE_PREPARE_OP_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