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graph_optimizer.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 INC_COMMON_OPTIMIZER_GRAPH_OPTIMIZER_H_
  17. #define INC_COMMON_OPTIMIZER_GRAPH_OPTIMIZER_H_
  18. #include <map>
  19. #include <string>
  20. #include "./graph_optimizer_types.h"
  21. #include "common/ge_inner_error_codes.h"
  22. #include "common/opskernel/ops_kernel_info_types.h"
  23. #include "graph/compute_graph.h"
  24. using std::map;
  25. using std::string;
  26. /*lint -e148*/
  27. namespace ge {
  28. class GraphOptimizer {
  29. public:
  30. virtual ~GraphOptimizer() {}
  31. // initialize graphOptimizer
  32. virtual Status Initialize(const map<string, string> &options) = 0;
  33. // close graphOptimizer
  34. virtual Status Finalize() = 0;
  35. // optimize original graph for FE quant optimize
  36. virtual Status OptimizeGraphPrepare(ComputeGraph &graph) { return SUCCESS; }
  37. // optimize original graph, using in graph preparation stage
  38. virtual Status OptimizeOriginalGraph(ComputeGraph &graph) = 0;
  39. // optimize original graph, using for conversion operator insert in graph preparation stage
  40. virtual Status OptimizeOriginalGraphJudgeInsert(ComputeGraph &graph) { return SUCCESS; }
  41. // optimize fused graph
  42. virtual Status OptimizeFusedGraph(ComputeGraph &graph) = 0;
  43. // optimize whole graph, using after graph merged stage
  44. virtual Status OptimizeWholeGraph(ComputeGraph &graph) = 0;
  45. // get attribute of graph optimizer
  46. virtual Status GetAttributes(GraphOptimizerAttribute &attrs) const = 0;
  47. // optimize streamed Graph
  48. virtual Status OptimizeStreamGraph(ComputeGraph &graph, const RunContext &context) { return SUCCESS; }
  49. };
  50. } // namespace ge
  51. /*lint +e148*/
  52. #endif // INC_COMMON_OPTIMIZER_GRAPH_OPTIMIZER_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