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op_kernel_registry.h 1.4 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 INC_REGISTER_OP_KERNEL_REGISTRY_H_
  17. #define INC_REGISTER_OP_KERNEL_REGISTRY_H_
  18. #include <memory>
  19. #include <string>
  20. #include "register/register_types.h"
  21. #include "register.h"
  22. namespace ge {
  23. class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY OpKernelRegistry {
  24. public:
  25. using CreateFn = HostCpuOp* (*)();
  26. ~OpKernelRegistry();
  27. static OpKernelRegistry& GetInstance() {
  28. static OpKernelRegistry instance;
  29. return instance;
  30. }
  31. bool IsRegistered(const std::string &op_type);
  32. void RegisterHostCpuOp(const std::string &op_type, CreateFn create_fn);
  33. std::unique_ptr<HostCpuOp> CreateHostCpuOp(const std::string &op_type);
  34. private:
  35. OpKernelRegistry();
  36. class OpKernelRegistryImpl;
  37. std::unique_ptr<OpKernelRegistryImpl> impl_;
  38. };
  39. } // namespace ge
  40. #endif // INC_REGISTER_OP_KERNEL_REGISTRY_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