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stream_resource.h 2.7 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_SINGLE_OP_STREAM_RESOURCE_H_
  17. #define GE_SINGLE_OP_STREAM_RESOURCE_H_
  18. #include <string>
  19. #include <cstdint>
  20. #include <mutex>
  21. #include <unordered_map>
  22. #include <vector>
  23. #include "framework/common/ge_inner_error_codes.h"
  24. #include "runtime/stream.h"
  25. #include "single_op/single_op.h"
  26. namespace ge {
  27. class StreamResource {
  28. public:
  29. explicit StreamResource(uintptr_t resource_id);
  30. ~StreamResource();
  31. StreamResource(const StreamResource &) = delete;
  32. StreamResource(StreamResource &&) = delete;
  33. StreamResource &operator=(const StreamResource &) = delete;
  34. StreamResource &operator=(StreamResource &&) = delete;
  35. rtStream_t GetStream() const;
  36. void SetStream(rtStream_t stream);
  37. Status Init();
  38. SingleOp *GetOperator(const uint64_t key);
  39. DynamicSingleOp *GetDynamicOperator(const uint64_t key);
  40. Status BuildOperator(const ModelData &model_data, SingleOp **single_op, const uint64_t model_id);
  41. Status BuildDynamicOperator(const ModelData &model_data, DynamicSingleOp **single_op, const uint64_t model_id);
  42. uint8_t *MallocMemory(const std::string &purpose, size_t size, bool holding_lock = true);
  43. uint8_t *MallocWeight(const std::string &purpose, size_t size);
  44. const uint8_t *GetMemoryBase() const;
  45. void *GetDeviceBufferAddr() const {
  46. return device_buffer_;
  47. }
  48. Status GetThreadPool(ThreadPool **thread_pool);
  49. private:
  50. uint8_t *DoMallocMemory(const std::string &purpose,
  51. size_t size,
  52. size_t &max_allocated,
  53. std::vector<uint8_t *> &allocated);
  54. uintptr_t resource_id_;
  55. size_t max_memory_size_ = 0;
  56. std::vector<uint8_t *> memory_list_;
  57. std::vector<uint8_t *> weight_list_;
  58. std::unordered_map<uint64_t, std::unique_ptr<SingleOp>> op_map_;
  59. std::unordered_map<uint64_t, std::unique_ptr<DynamicSingleOp>> dynamic_op_map_;
  60. std::unique_ptr<ThreadPool> thread_pool_;
  61. rtStream_t stream_ = nullptr;
  62. std::mutex mu_;
  63. std::mutex stream_mu_;
  64. void *device_buffer_ = nullptr;
  65. };
  66. } // namespace ge
  67. #endif // GE_SINGLE_OP_STREAM_RESOURCE_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