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resource_handle.proto 882 B

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  1. syntax = "proto3";
  2. package domi.tensorflow;
  3. option cc_enable_arenas = true;
  4. option java_outer_classname = "ResourceHandle";
  5. option java_multiple_files = true;
  6. option java_package = "org.tensorflow.framework";
  7. // Protocol buffer representing a handle to a tensorflow resource. Handles are
  8. // not valid across executions, but can be serialized back and forth from within
  9. // a single run.
  10. message ResourceHandleProto {
  11. // Unique name for the device containing the resource.
  12. string device = 1;
  13. // Container in which this resource is placed.
  14. string container = 2;
  15. // Unique name of this resource.
  16. string name = 3;
  17. // Hash code for the type of the resource. Is only valid in the same device
  18. // and in the same execution.
  19. uint64 hash_code = 4;
  20. // For debug-only, the name of the type pointed to by this handle, if
  21. // available.
  22. string maybe_type_name = 5;
  23. };

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