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kernel_store.h 2.1 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_KERNEL_STORE_H_
  17. #define GE_COMMON_KERNEL_STORE_H_
  18. #include <cstdint>
  19. #include <memory>
  20. #include <string>
  21. #include <unordered_map>
  22. #include <vector>
  23. #include <securec.h>
  24. #include <utility>
  25. #include "common/ge/ge_util.h"
  26. #include "framework/common/debug/ge_log.h"
  27. #include "framework/common/debug/log.h"
  28. #include "framework/common/fmk_types.h"
  29. #include "graph/op_desc.h"
  30. #include "graph/op_kernel_bin.h"
  31. namespace ge {
  32. using KernelBin = ge::OpKernelBin;
  33. using KernelBinPtr = std::shared_ptr<ge::OpKernelBin>;
  34. using CustAICPUKernel = ge::OpKernelBin;
  35. using CustAICPUKernelPtr = std::shared_ptr<ge::OpKernelBin>;
  36. using TBEKernel = ge::OpKernelBin;
  37. using TBEKernelPtr = std::shared_ptr<ge::OpKernelBin>;
  38. const uint32_t kKernelItemMagic = 0x5d776efd;
  39. struct KernelStoreItemHead {
  40. uint32_t magic;
  41. uint32_t name_len;
  42. uint32_t bin_len;
  43. };
  44. class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY KernelStore {
  45. public:
  46. KernelStore() = default;
  47. virtual ~KernelStore() = default;
  48. virtual bool Build();
  49. virtual bool Load(const uint8_t *data, const size_t &len);
  50. virtual const uint8_t *Data() const;
  51. virtual size_t DataSize() const;
  52. virtual void AddKernel(const KernelBinPtr &kernel);
  53. virtual KernelBinPtr FindKernel(const std::string &name) const;
  54. private:
  55. std::unordered_map<std::string, KernelBinPtr> kernels_;
  56. std::vector<uint8_t> buffer_;
  57. };
  58. } // namespace ge
  59. #endif // GE_COMMON_KERNEL_STORE_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