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weights_parser.h 2.1 kB

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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_FRAMEWORK_OMG_PARSER_WEIGHTS_PARSER_H_
  17. #define INC_FRAMEWORK_OMG_PARSER_WEIGHTS_PARSER_H_
  18. #include "graph/graph.h"
  19. #include "graph/attr_value.h"
  20. #include "graph/compute_graph.h"
  21. #include "graph/ge_tensor.h"
  22. #include "graph/op_desc.h"
  23. #include "graph/operator.h"
  24. #include "graph/range_vistor.h"
  25. #include "graph/utils/attr_utils.h"
  26. #include "graph/utils/op_desc_utils.h"
  27. #include "graph/utils/tensor_utils.h"
  28. namespace domi {
  29. /**
  30. * @ingroup domi_omg
  31. * @brief Weight information resolver
  32. *
  33. */
  34. class WeightsParser {
  35. public:
  36. /**
  37. * @ingroup domi_omg
  38. * @brief Constructor
  39. */
  40. WeightsParser() {}
  41. /**
  42. * @ingroup domi_omg
  43. * @brief Deconstructor
  44. */
  45. virtual ~WeightsParser() {}
  46. /**
  47. * @ingroup domi_omg
  48. * @brief Analyze weight data
  49. * @param [in] file Path of weight file after training
  50. * @param [in|out] graph Graph for saving weight information after analysis
  51. * @return SUCCESS
  52. * @return Others failed
  53. */
  54. virtual Status Parse(const char *file, ge::Graph &graph) = 0;
  55. /**
  56. * @ingroup domi_omg
  57. * @brief Parse relevant data from memory and save it to graph
  58. * @param [in] input Model file memory data
  59. * @param [in|out] graph A graph for saving the model information after analysis
  60. * @return SUCCESS
  61. * @return FAILED
  62. * @author
  63. */
  64. virtual Status ParseFromMemory(const char *input, uint32_t lengt, ge::ComputeGraphPtr &graph) = 0;
  65. };
  66. } // namespace domi
  67. #endif // INC_FRAMEWORK_OMG_PARSER_WEIGHTS_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