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graph_pass.h 1.3 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_REGISTER_GRAPH_OPTIMIZER_GRAPH_PASS_H_
  17. #define INC_REGISTER_GRAPH_OPTIMIZER_GRAPH_PASS_H_
  18. #include <string>
  19. #include "register/graph_optimizer/graph_fusion/pass.h"
  20. namespace fe {
  21. /** graph pass
  22. * @ingroup GRAPH_PASS_GROUP
  23. * graph level pass
  24. */
  25. class GraphPass : public Pass<ge::ComputeGraph> {
  26. public:
  27. /** execute pass
  28. *
  29. * @param [in] graph, the graph waiting for pass level optimization
  30. * @return SUCCESS, successfully optimized the graph by the pass
  31. * @return NOT_CHANGED, the graph did not change
  32. * @return FAILED, fail to modify graph
  33. */
  34. virtual Status Run(ge::ComputeGraph &graph) = 0;
  35. };
  36. } // namespace fe
  37. #endif // INC_REGISTER_GRAPH_OPTIMIZER_GRAPH_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