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merge_to_stream_merge_pass.h 2.2 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_GRAPH_PASSES_MERGE_TO_STREAM_MERGE_PASS_H_
  17. #define GE_GRAPH_PASSES_MERGE_TO_STREAM_MERGE_PASS_H_
  18. #include "inc/graph_pass.h"
  19. namespace ge {
  20. class MergeToStreamMergePass : public GraphPass {
  21. public:
  22. Status Run(ComputeGraphPtr graph);
  23. private:
  24. ///
  25. /// @brief Replace Merge Op
  26. /// @param [in] graph
  27. /// @param [in] merge_node
  28. /// @return Status
  29. ///
  30. Status ReplaceMergeNode(const ComputeGraphPtr &graph, const NodePtr &merge_node);
  31. ///
  32. /// @brief Add MemcpyAsync Op as StreamMerge in_node
  33. /// @param [in] graph
  34. /// @param [in] node
  35. /// @param [in] multi_batch_flag
  36. /// @return Status
  37. ///
  38. Status AddMemcpyAsyncNodes(const ComputeGraphPtr &graph, const NodePtr &node, bool multi_batch_flag);
  39. ///
  40. /// @brief Add MemcpyAsync Node
  41. /// @param [in] graph
  42. /// @param [in] name
  43. /// @param [in] out_data_anchor
  44. /// @param [in] multi_batch_flag
  45. /// @return ge::NodePtr
  46. ///
  47. NodePtr CreateMemcpyAsyncNode(const ComputeGraphPtr &graph, const std::string &name,
  48. const OutDataAnchorPtr &out_data_anchor, bool multi_batch_flag);
  49. ///
  50. /// @brief Create Active Op
  51. /// @param [in] graph
  52. /// @param [in] node
  53. /// @return ge::NodePtr
  54. ///
  55. NodePtr CreateActiveNode(const ComputeGraphPtr &graph, const NodePtr &node);
  56. ///
  57. /// @brief move edges from old_node to new_node
  58. /// @param [in] old_node
  59. /// @param [in] new_node
  60. /// @return Status
  61. ///
  62. Status MoveEdges(const NodePtr &old_node, const NodePtr &new_node);
  63. std::set<NodePtr> bypass_nodes_;
  64. };
  65. } // namespace ge
  66. #endif // GE_GRAPH_PASSES_MERGE_TO_STREAM_MERGE_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