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hybrid_davinci_model.h 2.7 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 HYBRID_HYBRID_DAVINCI_MODEL_H_
  17. #define HYBRID_HYBRID_DAVINCI_MODEL_H_
  18. #include <memory>
  19. #include "external/ge/ge_api_error_codes.h"
  20. #include "graph/load/new_model_manager/data_inputer.h"
  21. #include "model/ge_root_model.h"
  22. namespace ge {
  23. namespace hybrid {
  24. class HybridDavinciModel {
  25. public:
  26. ~HybridDavinciModel();
  27. HybridDavinciModel(const HybridDavinciModel &) = delete;
  28. HybridDavinciModel(HybridDavinciModel &&) = delete;
  29. HybridDavinciModel &operator=(const HybridDavinciModel &) = delete;
  30. HybridDavinciModel &operator=(HybridDavinciModel &&) = delete;
  31. static std::unique_ptr<HybridDavinciModel> Create(const GeRootModelPtr &ge_root_model);
  32. Status Init();
  33. Status Execute(const std::vector<DataBuffer> &inputs,
  34. const std::vector<GeTensorDesc> &input_desc,
  35. std::vector<DataBuffer> &outputs,
  36. std::vector<GeTensorDesc> &output_desc,
  37. rtStream_t stream);
  38. Status Execute(const vector<GeTensor> &inputs, vector<GeTensor> &outputs);
  39. Status ModelRunStart();
  40. Status ModelRunStop();
  41. Status EnqueueData(const std::shared_ptr<InputDataWrapper> &data);
  42. void SetListener(const shared_ptr<ModelListener> &listener);
  43. void SetModelId(uint32_t model_id);
  44. void SetDeviceId(uint32_t device_id);
  45. uint64_t GetSessionId();
  46. Status GetDynamicBatchInfo(std::vector<std::vector<int64_t>> &batch_info, int32_t &dynamic_type);
  47. void GetUserDesignateShapeOrder(std::vector<std::string> &user_input_shape_order);
  48. void GetModelAttr(std::vector<std::string> &dynamic_output_shape_info);
  49. Status GetInputOutputDescInfo(vector<InputOutputDescInfo> &input_desc,
  50. vector<InputOutputDescInfo> &output_desc,
  51. std::vector<uint32_t> &input_formats,
  52. std::vector<uint32_t> &output_formats);
  53. void SetModelDescVersion(bool is_new_model_desc);
  54. private:
  55. HybridDavinciModel() = default;
  56. class Impl;
  57. Impl *impl_ = nullptr;
  58. };
  59. } // namespace hybrid
  60. } // namespace ge
  61. #endif // HYBRID_HYBRID_DAVINCI_MODEL_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