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folding_pass.h 1.7 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_FOLDING_PASS_H_
  17. #define GE_GRAPH_PASSES_FOLDING_PASS_H_
  18. #include <map>
  19. #include <memory>
  20. #include <vector>
  21. #include "graph/passes/base_pass.h"
  22. #include "inc/kernel.h"
  23. namespace ge {
  24. namespace folding_pass {
  25. shared_ptr<Kernel> GetKernelByType(const NodePtr &node);
  26. bool IsNoNeedConstantFolding(const NodePtr &node);
  27. }
  28. using IndexsToAnchors = std::map<int, std::vector<InDataAnchorPtr>>;
  29. class FoldingPass : public BaseNodePass {
  30. public:
  31. static Status RunOpKernel(NodePtr &node, const vector<ConstGeTensorPtr> &inputs, vector<GeTensorPtr> &outputs);
  32. protected:
  33. Status Folding(NodePtr &node, vector<GeTensorPtr> &outputs);
  34. private:
  35. Status AddConstNode(NodePtr &node,
  36. IndexsToAnchors indexes_to_anchors,
  37. std::vector<GeTensorPtr> &v_weight);
  38. Status DealWithInNodes(NodePtr &node);
  39. Status RemoveNodeKeepingCtrlEdges(NodePtr &node);
  40. Status ConnectNodeToInAnchor(InDataAnchorPtr &in_anchor, NodePtr &node, int node_index);
  41. };
  42. } // namespace ge
  43. #endif // GE_GRAPH_PASSES_FOLDING_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