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dnnengine.h 2.0 kB

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  1. /**
  2. * Copyright (c) Huawei Technologies Co., Ltd. 2021. All rights reserved.
  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_ENGINE_DNNENGINE_H_
  17. #define INC_FRAMEWORK_ENGINE_DNNENGINE_H_
  18. #include <map>
  19. #include <string>
  20. #include <vector>
  21. #include "framework/common/ge_inner_error_codes.h"
  22. #include "framework/common/ge_types.h"
  23. #include "graph/types.h"
  24. namespace ge {
  25. enum class PriorityEnum {
  26. COST_0 = 0,
  27. COST_1 = 1,
  28. COST_2 = 2,
  29. COST_3 = 3,
  30. COST_4 = 4,
  31. COST_9 = 9,
  32. COST_10 = 10,
  33. };
  34. struct DNNEngineAttribute {
  35. std::string engine_name;
  36. std::vector<std::string> mem_type;
  37. PriorityEnum compute_cost;
  38. enum RuntimeType runtime_type; // HOST, DEVICE
  39. // If engine input format must be specific, set this attribute, else set FORMAT_RESERVED
  40. Format engine_input_format;
  41. Format engine_output_format;
  42. bool atomic_engine_flag;
  43. };
  44. class GE_FUNC_VISIBILITY DNNEngine {
  45. public:
  46. DNNEngine() = default;
  47. explicit DNNEngine(const DNNEngineAttribute &attrs) {
  48. engine_attribute_ = attrs;
  49. }
  50. virtual ~DNNEngine() = default;
  51. Status Initialize(const std::map<std::string, std::string> &options) const {
  52. (void)options;
  53. return SUCCESS;
  54. }
  55. Status Finalize() const {
  56. return SUCCESS;
  57. }
  58. void GetAttributes(DNNEngineAttribute &attr) const {
  59. attr = engine_attribute_;
  60. }
  61. bool IsAtomic() const {
  62. return engine_attribute_.atomic_engine_flag;
  63. }
  64. protected:
  65. DNNEngineAttribute engine_attribute_;
  66. };
  67. } // namespace ge
  68. #endif // INC_FRAMEWORK_ENGINE_DNNENGINE_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