You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

single_op.h 3.0 kB

5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687
  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_SINGLE_OP_SINGLE_OP_H_
  17. #define GE_SINGLE_OP_SINGLE_OP_H_
  18. #include <cstdint>
  19. #include <memory>
  20. #include <mutex>
  21. #include <string>
  22. #include <vector>
  23. #include "common/ge_inner_error_codes.h"
  24. #include "framework/executor/ge_executor.h"
  25. #include "runtime/stream.h"
  26. #include "task/op_task.h"
  27. #include "cce/aicpu_engine_struct.h"
  28. namespace ge {
  29. class StreamResource;
  30. struct SingleOpModelParam;
  31. class SingleOp {
  32. public:
  33. SingleOp(StreamResource *stream_resource, std::mutex *stream_mutex, rtStream_t stream);
  34. ~SingleOp();
  35. Status ExecuteAsync(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
  36. void SetStream(rtStream_t stream);
  37. private:
  38. Status ValidateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
  39. Status UpdateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
  40. Status GetArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
  41. friend class SingleOpModel;
  42. StreamResource *stream_resource_;
  43. std::mutex *stream_mutex_;
  44. rtStream_t stream_ = nullptr;
  45. std::vector<void *> input_addr_list_;
  46. std::vector<size_t> input_sizes_;
  47. std::vector<void *> output_addr_list_;
  48. std::vector<size_t> output_sizes_;
  49. std::vector<uintptr_t> args_;
  50. std::vector<OpTask *> tasks_;
  51. std::vector<std::vector<uintptr_t *>> arg_table_;
  52. std::unique_ptr<SingleOpModelParam> running_param_;
  53. };
  54. class DynamicSingleOp {
  55. public:
  56. DynamicSingleOp(uintptr_t resource_id, std::mutex *stream_mutex_, rtStream_t stream);
  57. ~DynamicSingleOp() = default;
  58. Status ExecuteAsync(const vector<GeTensorDesc> &input_desc,
  59. const std::vector<DataBuffer> &inputs,
  60. std::vector<GeTensorDesc> &output_desc,
  61. std::vector<DataBuffer> &outputs);
  62. private:
  63. friend class SingleOpModel;
  64. Status ValidateParams(const vector<GeTensorDesc> &input_desc,
  65. const std::vector<DataBuffer> &inputs,
  66. std::vector<GeTensorDesc> &output_desc,
  67. std::vector<DataBuffer> &outputs) const;
  68. std::unique_ptr<OpTask> op_task_;
  69. uintptr_t resource_id_ = 0;
  70. std::mutex *stream_mutex_;
  71. rtStream_t stream_ = nullptr;
  72. size_t num_inputs_ = 0;
  73. size_t num_outputs_ = 0;
  74. };
  75. } // namespace ge
  76. #endif // GE_SINGLE_OP_SINGLE_OP_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