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op_registry.h 3.7 kB

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 INC_REGISTER_OP_REGISTRY_H_
  17. #define INC_REGISTER_OP_REGISTRY_H_
  18. #include <limits.h>
  19. #include <set>
  20. #include <string>
  21. #include <unordered_map>
  22. #include <vector>
  23. #include "register/register.h"
  24. namespace domi {
  25. enum RemoveInputType {
  26. OMG_MOVE_TYPE_DTYPE = 0,
  27. OMG_MOVE_TYPE_VALUE,
  28. OMG_MOVE_TYPE_SHAPE,
  29. OMG_MOVE_TYPE_FORMAT,
  30. OMG_MOVE_TYPE_AXIS,
  31. OMG_MOVE_TYPE_SCALAR_VALUE,
  32. OMG_REMOVE_TYPE_WITH_COND = 1000,
  33. OMG_REMOVE_INPUT_WITH_ORIGINAL_TYPE,
  34. OMG_INPUT_REORDER,
  35. };
  36. struct RemoveInputConfigure {
  37. int inputIdx = INT_MAX;
  38. std::string attrName;
  39. RemoveInputType moveType;
  40. bool attrValue = false;
  41. std::string originalType;
  42. std::vector<int> input_order;
  43. };
  44. class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY OpRegistry {
  45. public:
  46. static OpRegistry *Instance();
  47. std::vector<OpRegistrationData> registrationDatas;
  48. bool Register(const OpRegistrationData &reg_data);
  49. domi::ImplyType GetImplyType(const std::string &op_type);
  50. void GetOpTypeByImplyType(std::vector<std::string> &vec_op_type, const domi::ImplyType &imply_type);
  51. domi::ParseParamFunc GetParseParamFunc(const std::string &op_type, const std::string &ori_type);
  52. domi::ParseParamByOpFunc GetParseParamByOperatorFunc(const std::string &ori_type);
  53. domi::FusionParseParamFunc GetFusionParseParamFunc(const std::string &op_type, const std::string &ori_type);
  54. domi::FusionParseParamByOpFunc GetFusionParseParamByOpFunc(const std::string &op_type,
  55. const std::string &ori_type);
  56. domi::ParseSubgraphFunc GetParseSubgraphPostFunc(const std::string &op_type);
  57. Status GetParseSubgraphPostFunc(const std::string &op_type, domi::ParseSubgraphFuncV2 &parse_subgraph_func);
  58. domi::ImplyType GetImplyTypeByOriOpType(const std::string &ori_optype);
  59. const std::vector<RemoveInputConfigure> &GetRemoveInputConfigure(const std::string &ori_optype) const;
  60. bool GetOmTypeByOriOpType(const std::string &ori_optype, std::string &om_type);
  61. ParseOpToGraphFunc GetParseOpToGraphFunc(const std::string &op_type, const std::string &ori_type);
  62. private:
  63. std::unordered_map<std::string, domi::ImplyType> op_run_mode_map_;
  64. std::unordered_map<std::string, ParseParamFunc> op_parse_params_fn_map_;
  65. std::unordered_map<std::string, ParseParamByOpFunc> parse_params_by_op_func_map_;
  66. std::unordered_map<std::string, FusionParseParamFunc> fusion_op_parse_params_fn_map_;
  67. std::unordered_map<std::string, FusionParseParamByOpFunc> fusion_parse_params_by_op_fn_map_;
  68. std::unordered_map<std::string, ParseSubgraphFunc> op_types_to_parse_subgraph_post_func_;
  69. std::unordered_map<std::string, std::vector<RemoveInputConfigure>> remove_input_configure_map_;
  70. std::unordered_map<std::string, std::string> origin_type_to_om_type_;
  71. std::unordered_map<std::string, ParseOpToGraphFunc> parse_op_to_graph_fn_map_;
  72. std::unordered_map<std::string, ParseSubgraphFuncV2> op_types_to_parse_subgraph_post_func_v2_;
  73. };
  74. } // namespace domi
  75. #endif // INC_REGISTER_OP_REGISTRY_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