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run_context.h 2.4 kB

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  1. /**
  2. * Copyright 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_GRAPH_BUILD_RUN_CONTEXT_H_
  17. #define GE_GRAPH_BUILD_RUN_CONTEXT_H_
  18. #include <vector>
  19. #include "common/ge_inner_error_codes.h"
  20. #include "common/opskernel/ops_kernel_info_types.h"
  21. #include "framework/common/types.h"
  22. #include "graph/compute_graph.h"
  23. #include "graph/model.h"
  24. #include "runtime/rt.h"
  25. namespace ge {
  26. /*lint -e148*/
  27. class RunContextUtil {
  28. public:
  29. RunContextUtil() = default;
  30. virtual ~RunContextUtil();
  31. // Init mem info.
  32. ge::Status InitMemInfo(uint8_t *data_mem_base, uint64_t data_mem_size,
  33. std::map<int64_t, uint8_t *> mem_type_to_data_mem_base,
  34. std::map<int64_t, uint64_t> mem_type_to_data_mem_size,
  35. uint8_t *weight_mem_base, uint64_t weight_mem_size);
  36. ge::Status CreateRunContext(Model &model_def, const ComputeGraphPtr &graph, Buffer &buffer,
  37. const uint64_t session_id);
  38. RunContext &GetRunContext();
  39. void PrintMemInfo();
  40. RunContext run_context_;
  41. private:
  42. // Create Rt model/stream/event/label for task generate
  43. ge::Status CreateRtModelResources(uint32_t stream_num, uint32_t event_num, uint32_t label_num);
  44. // Destroy Rt model/stream/event/label
  45. void DestroyRtModelResources() noexcept;
  46. // Model
  47. rtModel_t rt_model_ = nullptr;
  48. std::vector<rtStream_t> stream_list_;
  49. std::vector<rtEvent_t> event_list_;
  50. std::vector<rtEvent_t> label_list_;
  51. // Mem info
  52. uint8_t *data_mem_base_ = nullptr;
  53. uint64_t data_mem_size_ = 0;
  54. uint8_t *weight_mem_base_ = nullptr;
  55. uint64_t weight_mem_size_ = 0;
  56. std::map<int64_t, uint8_t *> mem_type_to_data_mem_base_;
  57. std::map<int64_t, uint64_t> mem_type_to_data_mem_size_;
  58. };
  59. } // namespace ge
  60. #endif // GE_GRAPH_BUILD_RUN_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