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hybrid_mem_assigner.h 2.0 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_MEMORY_HYBRID_MEM_ASSIGNER_H_
  17. #define GE_GRAPH_BUILD_MEMORY_HYBRID_MEM_ASSIGNER_H_
  18. #include <memory>
  19. #include "graph/build/memory/mem_assigner.h"
  20. #include "graph/build/memory/block_mem_assigner.h"
  21. #include "graph/compute_graph.h"
  22. #include "common/types.h"
  23. #include "common/util.h"
  24. namespace ge {
  25. using BlockMemAssignerPtr = std::shared_ptr<BlockMemAssigner>;
  26. class BlockMemAssigner;
  27. class HybridMemAssigner : public MemAssigner {
  28. public:
  29. explicit HybridMemAssigner(ge::ComputeGraphPtr compute_graph);
  30. HybridMemAssigner(const HybridMemAssigner &) = delete;
  31. HybridMemAssigner &operator=(const HybridMemAssigner &) = delete;
  32. ~HybridMemAssigner() override = default;
  33. Status Assign() override;
  34. size_t GetMemOffset() const { return mem_offset_; }
  35. size_t GetP2PMemOffset() const { return p2p_mem_offset_; }
  36. BlockMemAssignerPtr GetPriorityAssinger() const { return priority_assigner_; }
  37. private:
  38. Status AssignMemory(std::unique_ptr<BlockMemAssigner> &block_assigner, size_t &mem_size);
  39. size_t mem_offset_;
  40. size_t p2p_mem_offset_;
  41. ge::ComputeGraphPtr compute_graph_;
  42. BlockMemAssignerPtr priority_assigner_;
  43. std::map<std::string, std::string> anchor_to_symbol_;
  44. std::map<std::string, std::list<NodeIndexIO>> symbol_to_anchors_;
  45. };
  46. } // namespace ge
  47. #endif // GE_GRAPH_BUILD_MEMORY_HYBRID_MEM_ASSIGNER_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