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single_op_parser.h 2.7 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 ACL_TOOLS_COMPILE_PARSER_H
  17. #define ACL_TOOLS_COMPILE_PARSER_H
  18. #include <vector>
  19. #include <string>
  20. #include <nlohmann/json.hpp>
  21. #include "ge/ge_api_error_codes.h"
  22. #include "graph/types.h"
  23. #include "graph/ge_attr_value.h"
  24. #include "graph/op_desc.h"
  25. namespace ge {
  26. struct SingleOpTensorDesc {
  27. std::string name;
  28. std::vector<int64_t> dims;
  29. std::vector<int64_t> ori_dims;
  30. std::vector<std::vector<int64_t>> dim_ranges;
  31. ge::Format format = ge::FORMAT_RESERVED;
  32. ge::Format ori_format = ge::FORMAT_RESERVED;
  33. ge::DataType type = ge::DT_UNDEFINED;
  34. std::string dynamic_input_name;
  35. };
  36. struct SingleOpAttr {
  37. std::string name;
  38. std::string type;
  39. ge::GeAttrValue value;
  40. };
  41. struct SingleOpDesc {
  42. std::string op;
  43. std::vector<SingleOpTensorDesc> input_desc;
  44. std::vector<SingleOpTensorDesc> output_desc;
  45. std::vector<SingleOpAttr> attrs;
  46. };
  47. struct SingleOpBuildParam {
  48. ge::OpDescPtr op_desc;
  49. std::vector<ge::GeTensor> inputs;
  50. std::vector<ge::GeTensor> outputs;
  51. std::string file_name;
  52. };
  53. void from_json(const nlohmann::json &json, SingleOpTensorDesc &desc);
  54. void from_json(const nlohmann::json &json, SingleOpAttr &desc);
  55. void from_json(const nlohmann::json &json, SingleOpDesc &desc);
  56. class SingleOpParser {
  57. public:
  58. static Status ParseSingleOpList(const std::string &file, std::vector<SingleOpBuildParam> &op_list);
  59. private:
  60. static Status ReadJsonFile(const std::string &file, nlohmann::json &json_obj);
  61. static bool Validate(const SingleOpDesc &op_desc);
  62. static std::unique_ptr<OpDesc> CreateOpDesc(const std::string &op_type);
  63. static Status ConvertToBuildParam(int index, const SingleOpDesc &single_op_desc, SingleOpBuildParam &build_param);
  64. static Status UpdateDynamicTensorName(std::vector<SingleOpTensorDesc> &desc);
  65. static Status VerifyOpInputOutputSizeByIr(const OpDesc &current_op_desc);
  66. static Status SetShapeRange(const std::string &op_name,
  67. const SingleOpTensorDesc &tensor_desc,
  68. GeTensorDesc &ge_tensor_desc);
  69. };
  70. } // namespace ge
  71. #endif // ACL_TOOLS_COMPILE_PARSER_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