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var_is_initialized_op_pass.h 1.7 kB

5 years ago
5 years ago
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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_VAR_IS_INITIALIZED_OP_PASS_H_
  17. #define GE_GRAPH_PASSES_VAR_IS_INITIALIZED_OP_PASS_H_
  18. #include <map>
  19. #include <memory>
  20. #include <set>
  21. #include <vector>
  22. #include "graph/passes/base_pass.h"
  23. namespace ge {
  24. class VarIsInitializedOpPass : public BaseNodePass {
  25. public:
  26. Status Run(NodePtr &node) override;
  27. private:
  28. Status CheckSrcNode(const NodePtr &node, bool &inited) const;
  29. Status CreateConstant(NodePtr &node, OpDescPtr &op_desc, bool inited);
  30. Status ProcessInAnchor(NodePtr &node, NodePtr &new_node);
  31. Status ChangeNodeToConstant(NodePtr &node, bool inited);
  32. Status UpdateInitedVars(const NodePtr &node);
  33. Status CheckAndSetVarInited(const NodePtr &node, bool &inited, int64_t &inited_var);
  34. std::set<int64_t> *CreateInitedVars();
  35. bool IsVarInitedOnTheGraphAndNode(const NodePtr &node, int64_t var_id) const;
  36. std::vector<std::unique_ptr<std::set<int64_t>>> var_inited_keeper_;
  37. std::map<int64_t, std::set<int64_t> *> nodes_to_inited_vars_;
  38. };
  39. } // namespace ge
  40. #endif // GE_GRAPH_PASSES_VAR_IS_INITIALIZED_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