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scope_pass_impl.h 2.5 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 REGISTER_SCOPE_SCOPE_PASS_IMPL_H_
  17. #define REGISTER_SCOPE_SCOPE_PASS_IMPL_H_
  18. #include "external/register/scope/scope_fusion_pass_register.h"
  19. namespace ge {
  20. class ScopesResult::ScopesResultImpl {
  21. public:
  22. void SetScopes(const std::vector<Scope *> &scopes) { scopes_ = scopes; }
  23. const std::vector<Scope *> &GetScopes() const { return scopes_; }
  24. void SetNodes(const std::vector<ge::OperatorPtr> &nodes) { nodes_ = nodes; }
  25. const std::vector<ge::OperatorPtr> &GetNodes() const { return nodes_; }
  26. private:
  27. std::vector<Scope *> scopes_; // multiple scopes
  28. std::vector<ge::OperatorPtr> nodes_; // op outside of scope
  29. };
  30. class ScopeBasePass::ScopeBasePassImpl {
  31. public:
  32. ScopeBasePassImpl(ScopeBasePass *parent) : parent_(parent) {}
  33. virtual ~ScopeBasePassImpl();
  34. Status Run(std::shared_ptr<ScopeGraph> &scope_graph);
  35. private:
  36. Status AddFusionScopesResultToScopeGraph(std::shared_ptr<ScopeGraph> &scope_graph,
  37. std::vector<ScopesResult> &scope_results);
  38. // Match rules one by one, support multiple sets of matching rules, and finally output a single scope
  39. // Note: This function does not have to be rewritten.
  40. // In order to match the fusion rules designed by you better,
  41. // you can implement your specific versions separately.
  42. bool MatchAllBatches(const ScopeTree *scope_tree, std::vector<Scope *> &results);
  43. bool MatchOneBatch(const ScopeTree *scope_tree, const std::vector<ScopePattern *> &patternlist,
  44. std::vector<Scope *> &results);
  45. bool MatchOneScope(const ScopePattern *pattern, Scope *scope, std::vector<Scope *> &results);
  46. Status PrintFusionScopeInfo(std::shared_ptr<ScopeGraph> &scope_graph);
  47. private:
  48. std::vector<ScopeFusionPatterns> patterns_;
  49. ScopeBasePass *parent_;
  50. };
  51. } // namespace ge
  52. #endif // REGISTER_SCOPE_SCOPE_PASS_IMPL_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