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model_runner.h 2.0 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_GE_RUNTIME_MODEL_RUNNER_H_
  17. #define INC_FRAMEWORK_GE_RUNTIME_MODEL_RUNNER_H_
  18. #include <memory>
  19. #include <unordered_map>
  20. #include <vector>
  21. #include "common/ge_inner_error_codes.h"
  22. #include "common/ge_types.h"
  23. #include "ge_runtime/davinci_model.h"
  24. namespace ge {
  25. namespace model_runner {
  26. class RuntimeModel;
  27. class ModelRunner {
  28. public:
  29. static ModelRunner &Instance();
  30. bool LoadDavinciModel(uint32_t device_id, uint64_t session_id, uint32_t model_id,
  31. std::shared_ptr<DavinciModel> davinci_model, std::shared_ptr<ModelListener> listener);
  32. const std::vector<uint32_t> &GetTaskIdList(uint32_t model_id) const;
  33. bool UnloadModel(uint32_t model_id);
  34. bool RunModel(uint32_t model_id, const InputData &input_data, OutputData *output_data);
  35. bool GetInputOutputDescInfo(uint32_t model_id, bool zero_copy, std::vector<InputOutputDescInfo> *input_desc,
  36. std::vector<InputOutputDescInfo> *output_desc, std::vector<uint32_t> *input_format,
  37. std::vector<uint32_t> *output_format);
  38. private:
  39. ModelRunner() = default;
  40. ~ModelRunner() = default;
  41. std::unordered_map<uint32_t, std::shared_ptr<RuntimeModel>> runtime_models_;
  42. };
  43. } // namespace model_runner
  44. } // namespace ge
  45. #endif // INC_FRAMEWORK_GE_RUNTIME_MODEL_RUNNER_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