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ops_kernel_builder_registry.h 2.6 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_OPS_KERNEL_BUILDER_REGISTRY_H_
  17. #define INC_REGISTER_OPS_KERNEL_BUILDER_REGISTRY_H_
  18. #include <memory>
  19. #include "register/register_types.h"
  20. #include "common/opskernel/ops_kernel_builder.h"
  21. namespace ge {
  22. using OpsKernelBuilderPtr = std::shared_ptr<OpsKernelBuilder>;
  23. class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY OpsKernelBuilderRegistry {
  24. public:
  25. ~OpsKernelBuilderRegistry();
  26. static OpsKernelBuilderRegistry &GetInstance();
  27. void Register(const std::string &lib_name, const OpsKernelBuilderPtr &instance);
  28. void Unregister(const std::string &lib_name);
  29. void UnregisterAll();
  30. const std::map<std::string, OpsKernelBuilderPtr> &GetAll() const;
  31. private:
  32. OpsKernelBuilderRegistry() = default;
  33. std::map<std::string, OpsKernelBuilderPtr> kernel_builders_;
  34. };
  35. class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY OpsKernelBuilderRegistrar {
  36. public:
  37. using CreateFn = OpsKernelBuilder *(*)();
  38. OpsKernelBuilderRegistrar(const std::string &kernel_lib_name, CreateFn fn);
  39. ~OpsKernelBuilderRegistrar();
  40. private:
  41. std::string kernel_lib_name_;
  42. };
  43. #define REGISTER_OPS_KERNEL_BUILDER(kernel_lib_name, builder) \
  44. REGISTER_OPS_KERNEL_BUILDER_UNIQ_HELPER(__COUNTER__, kernel_lib_name, builder)
  45. #define REGISTER_OPS_KERNEL_BUILDER_UNIQ_HELPER(ctr, kernel_lib_name, builder) \
  46. REGISTER_OPS_KERNEL_BUILDER_UNIQ(ctr, kernel_lib_name, builder)
  47. #define REGISTER_OPS_KERNEL_BUILDER_UNIQ(ctr, kernel_lib_name, builder) \
  48. static ::ge::OpsKernelBuilderRegistrar register_op_kernel_builder_##ctr \
  49. __attribute__((unused)) = \
  50. ::ge::OpsKernelBuilderRegistrar(kernel_lib_name, []()->::ge::OpsKernelBuilder* { \
  51. return new (std::nothrow) builder(); \
  52. })
  53. } // namespace ge
  54. #endif // INC_REGISTER_OPS_KERNEL_BUILDER_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