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graph_debug.h 1.8 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 COMMON_GRAPH_DEBUG_GRAPH_DEBUG_H_
  17. #define COMMON_GRAPH_DEBUG_GRAPH_DEBUG_H_
  18. #include <cstdint>
  19. #include <fstream>
  20. #include <iostream>
  21. #include <sstream>
  22. #include <string>
  23. #include "external/graph/graph.h"
  24. #include "./ge_error_codes.h"
  25. #include "graph/compute_graph.h"
  26. #include "graph/debug/ge_log.h"
  27. #include "graph/node.h"
  28. #include "utils/graph_utils.h"
  29. namespace ge {
  30. enum DotFileFlag {
  31. // Show nodes, edges, size, type and format
  32. DOT_FLAG_DEFAULT = 0,
  33. DOT_NOT_SHOW_EDGE_LABEL = 1,
  34. };
  35. class GraphDebugPrinter {
  36. public:
  37. static graphStatus DumpGraphDotFile(const Graph &graph, const std::string &output_dot_file_name,
  38. uint32_t flag = DOT_FLAG_DEFAULT);
  39. static graphStatus DumpGraphDotFile(const ComputeGraphPtr graph, const std::string &output_dot_file_name,
  40. uint32_t flag = DOT_FLAG_DEFAULT);
  41. static void DumpNodeToDot(const NodePtr node, std::ostringstream &out_);
  42. static void DumpEdgeToDot(const NodePtr node, std::ostringstream &out_, uint32_t flag = DOT_FLAG_DEFAULT);
  43. };
  44. } // namespace ge
  45. #endif // COMMON_GRAPH_DEBUG_GRAPH_DEBUG_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