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runtime_tensor_desc.h 1.3 kB

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  1. /**
  2. * Copyright (c) Huawei Technologies Co., Ltd. 2021-2022. All rights reserved.
  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 INC_FRAMEWORK_COMMON_RUNTIME_TENSOR_DESC_H_
  17. #define INC_FRAMEWORK_COMMON_RUNTIME_TENSOR_DESC_H_
  18. #include <cstdint>
  19. namespace ge {
  20. constexpr int64_t kMaxDimSize = 32;
  21. #pragma pack(push, 1)
  22. struct RuntimeTensorDesc {
  23. uint64_t data_addr;
  24. int64_t data_offset_size;
  25. int64_t dtype;
  26. int64_t shape[kMaxDimSize + 1]; // shape:Dim_Num|DIM0|DIM1|...|DIM31
  27. int64_t original_shape[kMaxDimSize + 1]; // original_shape:Dim_Num|DIM0|DIM1|...|DIM31
  28. int64_t format;
  29. int64_t sub_format;
  30. uint8_t reserved[456]; // padding to 1024 bytes
  31. };
  32. #pragma pack(pop)
  33. } // namespace ge
  34. #endif // INC_FRAMEWORK_COMMON_RUNTIME_TENSOR_DESC_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