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model_context.h 2.3 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 GE_GE_RUNTIME_MODEL_CONTEXT_H_
  17. #define GE_GE_RUNTIME_MODEL_CONTEXT_H_
  18. #include <vector>
  19. #include "runtime/rt_model.h"
  20. namespace ge {
  21. namespace model_runner {
  22. class ModelContext {
  23. public:
  24. ModelContext(uint32_t device_id, uint64_t session_id, int32_t priority, rtModel_t rt_model_handle,
  25. rtStream_t rt_model_stream, const std::vector<rtStream_t> &stream_list,
  26. const std::vector<rtLabel_t> &label_list, const std::vector<rtEvent_t> &event_list)
  27. : device_id_(device_id),
  28. session_id_(session_id),
  29. priority_(priority),
  30. rt_model_handle_(rt_model_handle),
  31. rt_model_stream_(rt_model_stream),
  32. stream_list_(stream_list),
  33. label_list_(label_list),
  34. event_list_(event_list) {}
  35. ~ModelContext() {}
  36. uint64_t device_id() const { return device_id_; }
  37. uint64_t session_id() const { return session_id_; }
  38. int32_t priority() const { return priority_; }
  39. const rtModel_t &rt_model_handle() const { return rt_model_handle_; }
  40. const rtStream_t &rt_model_stream() const { return rt_model_stream_; }
  41. const std::vector<rtStream_t> &stream_list() const { return stream_list_; }
  42. const std::vector<rtLabel_t> &label_list() const { return label_list_; }
  43. const std::vector<rtEvent_t> &event_list() const { return event_list_; }
  44. private:
  45. uint32_t device_id_;
  46. uint64_t session_id_;
  47. int32_t priority_;
  48. rtModel_t rt_model_handle_;
  49. rtStream_t rt_model_stream_;
  50. std::vector<rtStream_t> stream_list_;
  51. std::vector<rtLabel_t> label_list_;
  52. std::vector<rtEvent_t> event_list_;
  53. };
  54. } // namespace model_runner
  55. } // namespace ge
  56. #endif // GE_GE_RUNTIME_MODEL_CONTEXT_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