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variable_op_pass.h 2.8 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_VARIABLE_OP_PASS_H_
  17. #define GE_GRAPH_PASSES_VARIABLE_OP_PASS_H_
  18. #include <map>
  19. #include <set>
  20. #include "common/transop_util.h"
  21. #include "external/graph/graph.h"
  22. #include "graph/manager/graph_var_manager.h"
  23. #include "graph/manager/util/variable_accelerate_ctrl.h"
  24. #include "inc/graph_pass.h"
  25. namespace ge {
  26. namespace variable_op {
  27. struct NodeDesc {
  28. ge::GeTensorDesc input;
  29. ge::GeTensorDesc output;
  30. bool is_update = false;
  31. };
  32. } // namespace variable_op
  33. class VariableOpPass : public GraphPass {
  34. public:
  35. explicit VariableOpPass(VarAccelerateCtrl *ctrl) : var_accelerate_ctrl_(ctrl) {}
  36. ~VariableOpPass() override = default;
  37. Status Run(ge::ComputeGraphPtr graph) override;
  38. private:
  39. Status DealFusion(const ge::NodePtr &src_node);
  40. Status CheckVariableRefLegally(const ge::NodePtr &var_node, bool &is_var_legally);
  41. Status UpdateVarAndRefOutputFormatInfo(const GeTensorDesc &final_output, const ge::NodePtr &node);
  42. Status GenerateVariableVariableRefMap(const ComputeGraphPtr &compute_graph);
  43. Status CheckVarAndVarRefAreAlike(const NodePtr &var_node, const NodePtr &var_ref_node,
  44. bool &is_var_and_var_ref_alike);
  45. bool IsOpDescSame(const GeTensorDescPtr &op_desc_a, const GeTensorDescPtr &op_desc_b);
  46. Status CheckTransNodeAreInverse(const NodePtr &node_a, const NodePtr &node_b, bool &is_trans_node_inverse);
  47. void CopyVariableFormatDataTypeAndShape(const GeTensorDesc &src_tensor_desc, GeTensorDesc &dst_tensor_desc);
  48. Status CheckSameAndTransOp(const ge::NodePtr &var_nodem, bool &is_matched, VarTransRoad &fusion_road);
  49. Status CheckIfCouldBeOptimized(const ge::NodePtr &node, bool &flag, VarTransRoad &fusion_road);
  50. Status FusionIfNeed(const NodePtr &var, VarTransRoad &fusion_road);
  51. Status UpdateIOFormatInfo(const GeTensorDesc &final_output, std::set<NodePtr> &nodes);
  52. Status RenewVarDesc(ge::ComputeGraphPtr &graph);
  53. Status RenewVarDesc(uint64_t session_id, const NodePtr &node, const VarTransRoad &fusion_road);
  54. std::map<NodePtr, std::set<NodePtr>> var_and_var_ref_map_;
  55. VarAccelerateCtrl *var_accelerate_ctrl_;
  56. };
  57. } // namespace ge
  58. #endif // GE_GRAPH_PASSES_VARIABLE_OP_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