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global_step_insert_pass.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_PASSES_GLOBAL_STEP_INSERT_PASS_H_
  17. #define GE_GRAPH_PASSES_GLOBAL_STEP_INSERT_PASS_H_
  18. #include <string>
  19. #include <vector>
  20. #include "common/ge_inner_error_codes.h"
  21. #include "inc/graph_pass.h"
  22. namespace ge {
  23. ///
  24. /// Add global step op to the computeGraph when needed.
  25. /// [Notice]: this pass must work before graph partitioner start work
  26. /// in order to make the global step variable place in known subgraph
  27. ///
  28. class GlobalStepInsertPass : public GraphPass {
  29. public:
  30. ///
  31. /// @param compute_graph graph
  32. /// @return SUCCESS: do success
  33. /// NOT_CHANGED : do nothing
  34. /// Other: failed
  35. ///
  36. Status Run(ComputeGraphPtr compute_graph) override;
  37. private:
  38. ///
  39. /// Universal insert node to graph.
  40. /// @param compute_graph graph
  41. /// @param node_type inserted node type
  42. /// @param node_name inserted node name
  43. /// @param input_list input desc list
  44. /// @param output_list output desc list
  45. /// @return the inserted node. if insert failed return nullptr.
  46. ///
  47. NodePtr InsertOp(ComputeGraphPtr &compute_graph,
  48. const string &node_type,
  49. const string &node_name,
  50. const std::vector<GeTensorDesc> &input_list,
  51. const std::vector<GeTensorDesc> &output_list);
  52. };
  53. } // namespace ge
  54. #endif // GE_GRAPH_PASSES_GLOBAL_STEP_INSERT_PASS_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