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graph_builder_utils.h 1.7 kB

5 years ago
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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 MAIN_LLT_FRAMEWORK_DOMI_UT_GE_TEST_GRAPH_PASSES_GRAPH_BUILDER_UTILS_H_
  17. #define MAIN_LLT_FRAMEWORK_DOMI_UT_GE_TEST_GRAPH_PASSES_GRAPH_BUILDER_UTILS_H_
  18. #include <string>
  19. #include <vector>
  20. #include "graph/compute_graph.h"
  21. #include "graph/graph.h"
  22. #include "graph/node.h"
  23. namespace ge {
  24. namespace ut {
  25. class GraphBuilder {
  26. public:
  27. explicit GraphBuilder(const std::string &name) { graph_ = std::make_shared<ComputeGraph>(name); }
  28. NodePtr AddNode(const std::string &name, const std::string &type, int in_cnt, int out_cnt,
  29. Format format = FORMAT_NCHW, DataType data_type = DT_FLOAT,
  30. std::vector<int64_t> shape = {1, 1, 224, 224});
  31. void AddDataEdge(NodePtr &src_node, int src_idx, NodePtr &dst_node, int dst_idx);
  32. void AddControlEdge(NodePtr &src_node, NodePtr &dst_node);
  33. ComputeGraphPtr GetGraph() {
  34. graph_->TopologicalSorting();
  35. return graph_;
  36. }
  37. private:
  38. ComputeGraphPtr graph_;
  39. };
  40. } // namespace ut
  41. } // namespace ge
  42. #endif // MAIN_LLT_FRAMEWORK_DOMI_UT_GE_TEST_GRAPH_PASSES_GRAPH_BUILDER_UTILS_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