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infer_base_pass.h 2.7 kB

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  1. /**
  2. * Copyright 2021 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_INFER_BASE_PASS_H_
  17. #define GE_GRAPH_PASSES_INFER_BASE_PASS_H_
  18. #include "graph/passes/base_pass.h"
  19. namespace ge {
  20. class InferBasePass : public BaseNodePass {
  21. public:
  22. Status Run(NodePtr &node) override;
  23. graphStatus InferAndUpdate(NodePtr &node, bool before_subgraph, std::set<NodePtr> &changed_nodes);
  24. void PrintInOutTensorShape(const NodePtr &node, const std::string &phase);
  25. protected:
  26. virtual graphStatus Infer(NodePtr &node) = 0;
  27. virtual bool TensorDescChanged(const GeTensorDescPtr &src, const GeTensorDescPtr &dst) = 0;
  28. virtual graphStatus UpdateInputDescAttr(const GeTensorDescPtr &src, GeTensorDescPtr &dst, bool &changed);
  29. virtual bool NeedInfer(const NodePtr &node);
  30. virtual void AnalyzeFailedInfo(const NodePtr &node);
  31. virtual Status DoRepassForLoopNode(NodePtr &node); // only for infershape, will be deleted
  32. virtual graphStatus UpdatePeerInputs(NodePtr &node); // only for infershape, will be deleted
  33. private:
  34. void AddChangedNodesImmediateRepass(std::set<NodePtr> &changed_nodes);
  35. graphStatus UpdateCurOpInputDesc(const NodePtr &node_ptr);
  36. bool ContainsSubgraph(const NodePtr &node);
  37. std::vector<ComputeGraphPtr> GetCurNodeSubgraphs(const NodePtr &node);
  38. graphStatus UpdateTensorDescToSubgraphData(NodePtr &node, std::set<NodePtr> &changed_nodes);
  39. graphStatus UpdateTensorDescToParentNode(NodePtr &node, std::set<NodePtr> &changed_nodes);
  40. graphStatus UpdateParentNodeForWhile(NodePtr &node, std::vector<std::vector<GeTensorDesc>> &ref_data_tensors,
  41. std::vector<std::vector<GeTensorDesc>> &ref_out_tensors,
  42. std::set<NodePtr> &changed_nodes);
  43. graphStatus UpdateParentNodeForBranch(NodePtr &node, std::vector<std::vector<GeTensorDesc>> &ref_out_tensors,
  44. std::set<NodePtr> &changed_nodes);
  45. graphStatus UpdateOutputForMultiBatch(NodePtr &node, std::vector<std::vector<GeTensorDesc>> &ref_out_tensors,
  46. std::set<NodePtr> &changed_nodes);
  47. };
  48. } // namespace ge
  49. #endif // GE_GRAPH_PASSES_INFER_BASE_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