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formats_definitions.h 1.7 kB

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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_COMMON_FORMATS_UTILS_FORMATS_DEFINITIONS_H_
  17. #define GE_COMMON_FORMATS_UTILS_FORMATS_DEFINITIONS_H_
  18. namespace ge {
  19. namespace formats {
  20. static const int kCubeSize = 16;
  21. static const int kNiSize = 16;
  22. static const int64_t kShapeItemNumMAX = 1024UL * 1024UL * 1024UL * 1024UL;
  23. enum NchwDimIndex { kNchwN, kNchwC, kNchwH, kNchwW, kNchwDimsNum };
  24. enum NhwcDimIndex { kNhwcN, kNhwcH, kNhwcW, kNhwcC, kNhwcDimsNum };
  25. enum HwcnDimIndex { kHwcnH, kHwcnW, kHwcnC, kHwcnN, kHwcnDimsNum };
  26. enum Nc1hwc0DimIndex { kNc1hwc0N, kNc1hwc0C1, kNc1hwc0H, kNc1hwc0W, kNc1hwc0C0, kNc1hwc0DimsNum };
  27. enum C1hwncoc0DimIndex {
  28. kC1hwncoc0C1,
  29. kC1hwncoc0H,
  30. kC1hwncoc0W,
  31. kC1hwncoc0N,
  32. kC1hwncoc0Co,
  33. kC1hwncoc0C0,
  34. kC1hwncoc0DimsNum
  35. };
  36. enum FracZDimIndex { kFracZHWC1, kFracZN0, kFracZNi, kFracZC0, kFracZDimsNum };
  37. enum DhwcnDimIndex { kDhwcnD, kDhwcnH, kDhwcnW, kDhwcnC, kDhwcnN, kDhwcnDimsNum };
  38. enum DhwncDimIndex { kDhwncD, kDhwncH, kDhwncW, kDhwncN, kDhwncC, kDhwncDimsNum };
  39. } // namespace formats
  40. } // namespace ge
  41. #endif // GE_COMMON_FORMATS_UTILS_FORMATS_DEFINITIONS_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