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debug.h 1.7 kB

5 years ago
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 GE_GRAPH_MANAGER_UTIL_DEBUG_H_
  17. #define GE_GRAPH_MANAGER_UTIL_DEBUG_H_
  18. #include <sys/stat.h>
  19. #include <sys/types.h>
  20. #include <time.h>
  21. #include <google/protobuf/io/coded_stream.h>
  22. #include <google/protobuf/io/zero_copy_stream_impl.h>
  23. #include <google/protobuf/text_format.h>
  24. #include <algorithm>
  25. #include <fstream>
  26. #include <iosfwd>
  27. #include <iostream>
  28. #include <memory>
  29. #include <string>
  30. #include <utility>
  31. #include <vector>
  32. #include "common/debug/log.h"
  33. #include "common/debug/memory_dumper.h"
  34. #include "common/types.h"
  35. #include "common/util.h"
  36. #include "mmpa/mmpa_api.h"
  37. #include "proto/om.pb.h"
  38. #include "runtime/kernel.h"
  39. using google::protobuf::Message;
  40. using google::protobuf::io::CodedInputStream;
  41. using google::protobuf::io::FileOutputStream;
  42. namespace ge {
  43. // MemoryDumper: used for output memory data in test case
  44. class Debug {
  45. public:
  46. Debug();
  47. ~Debug();
  48. static void DumpProto(const Message &proto, const char *file);
  49. static Status DumpDevMem(const char *file, const void *addr, int64_t size);
  50. };
  51. } // namespace ge
  52. #endif // GE_GRAPH_MANAGER_UTIL_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