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attach_stream_label_pass.h 2.6 kB

5 years ago
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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_ATTACH_STREAM_LABEL_PASS_H_
  17. #define GE_GRAPH_PASSES_ATTACH_STREAM_LABEL_PASS_H_
  18. #include <stack>
  19. #include "inc/graph_pass.h"
  20. namespace ge {
  21. class AttachStreamLabelPass : public GraphPass {
  22. public:
  23. Status Run(ComputeGraphPtr graph);
  24. ///
  25. /// @brief Clear Status, used for subgraph pass
  26. /// @return
  27. ///
  28. Status ClearStatus() override;
  29. private:
  30. ///
  31. /// @brief Find StreamSwitch / StreamMerge / Enter node
  32. /// @param [in] graph
  33. /// @return void
  34. ///
  35. void FindNodes(const ComputeGraphPtr &graph);
  36. ///
  37. /// @brief update cond branch
  38. /// @param [in] node
  39. /// @return Status
  40. ///
  41. Status UpdateCondBranch(const NodePtr &node);
  42. ///
  43. /// @brief attach flag
  44. /// @param [in] node
  45. /// @param [out] stream_label
  46. /// @param [out] merge_flag
  47. /// @param [out] exit_flag
  48. /// @param [out] net_output_flag
  49. /// @return Status
  50. ///
  51. static Status AttachFlag(const NodePtr &node, std::string &stream_label, bool &merge_flag, bool &exit_flag,
  52. bool &net_output_flag);
  53. ///
  54. /// @brief Update stream_label for loop_branch
  55. /// @param [in] enter_nodes
  56. /// @param [in] stream_label
  57. /// @param [in] batch_label
  58. /// @return Status
  59. ///
  60. static Status UpdateLoopBranch(const std::stack<NodePtr> &enter_nodes, const std::string &stream_label,
  61. const std::string &batch_label);
  62. ///
  63. /// @brief Update stream_label start with enter nodes
  64. /// @return Status
  65. ///
  66. Status UpdateEnterNode();
  67. ///
  68. /// @brief Set stream_label for enter_nodes
  69. /// @param [in] enter_nodes
  70. /// @param [in] active_node
  71. /// @return Status
  72. ///
  73. static Status SetEnterLabel(const std::vector<NodePtr> &enter_nodes, const NodePtr &active_node);
  74. std::vector<NodePtr> stream_switch_nodes_;
  75. std::vector<NodePtr> need_label_nodes_;
  76. std::vector<NodePtr> enter_nodes_;
  77. std::unordered_map<NodePtr, NodePtr> branch_head_nodes_;
  78. };
  79. } // namespace ge
  80. #endif // GE_GRAPH_PASSES_ATTACH_STREAM_LABEL_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