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op_task.h 8.5 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_TASK_OP_TASK_H_
  17. #define GE_SINGLE_OP_TASK_OP_TASK_H_
  18. #include <memory>
  19. #include <string>
  20. #include <external/graph/tensor.h>
  21. #include "common/dump/dump_op.h"
  22. #include "common/dump/dump_properties.h"
  23. #include "common/ge_inner_error_codes.h"
  24. #include "graph/op_kernel_bin.h"
  25. #include "runtime/stream.h"
  26. #include "graph/node.h"
  27. #include "cce/aicpu_engine_struct.h"
  28. #include "hybrid/node_executor/aicpu/aicpu_ext_info.h"
  29. #include "init/gelib.h"
  30. namespace ge {
  31. class StreamResource;
  32. struct SingleOpModelParam;
  33. class OpTask {
  34. public:
  35. OpTask() = default;
  36. virtual ~OpTask() = default;
  37. virtual Status LaunchKernel(rtStream_t stream) = 0;
  38. virtual Status UpdateRunInfo(const vector<GeTensorDesc> &input_desc,
  39. const vector<GeTensorDesc> &output_desc);
  40. virtual Status UpdateArgTable(const SingleOpModelParam &param);
  41. void SetModelArgs(std::string model_name, uint32_t model_id);
  42. Status GetProfilingArgs(std::string &model_name, std::string &op_name, uint32_t &model_id, uint32_t &block_dim);
  43. const OpDescPtr &GetOpdesc() const {return op_desc_;}
  44. Status OpenDump(rtStream_t stream);
  45. virtual void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) = 0;
  46. virtual Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  47. const std::vector<DataBuffer> &input_buffers,
  48. std::vector<GeTensorDesc> &output_desc,
  49. std::vector<DataBuffer> &output_buffers,
  50. rtStream_t stream);
  51. protected:
  52. Status DoUpdateArgTable(const SingleOpModelParam &param, bool keep_workspace);
  53. DumpProperties dump_properties_;
  54. DumpOp dump_op_;
  55. OpDescPtr op_desc_;
  56. std::string model_name_;
  57. uint32_t model_id_ = 0;
  58. uint32_t block_dim_ = 1;
  59. };
  60. class TbeOpTask : public OpTask {
  61. public:
  62. ~TbeOpTask() override;
  63. Status LaunchKernel(rtStream_t stream) override;
  64. Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  65. const std::vector<DataBuffer> &input_buffers,
  66. std::vector<GeTensorDesc> &output_desc,
  67. std::vector<DataBuffer> &output_buffers,
  68. rtStream_t stream) override;
  69. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  70. void SetSmDesc(void *sm_desc);
  71. void SetStubFunc(const std::string &name, const void *stub_func);
  72. void SetKernelArgs(std::unique_ptr<uint8_t[]> &&args, size_t arg_size, uint32_t block_dim, const OpDescPtr &op_desc);
  73. Status UpdateRunInfo(const vector<GeTensorDesc> &input_desc,
  74. const vector<GeTensorDesc> &output_desc) override;
  75. const void *GetArgs() const;
  76. size_t GetArgSize() const;
  77. const std::string &GetStubName() const;
  78. void EnableDynamicSupport(const NodePtr &node, void *tiling_buffer, size_t max_tiling_size);
  79. private:
  80. friend class SingleOpModel;
  81. static Status UpdateTensorDesc(const GeTensorDesc &src_tensor, GeTensorDesc &dst_tensor);
  82. Status UpdateNodeByShape(const vector<GeTensorDesc> &input_desc,
  83. const vector<GeTensorDesc> &output_desc);
  84. Status AllocateWorkspaces(const std::vector<int64_t> &workspace_sizes);
  85. const void *stub_func_ = nullptr;
  86. std::unique_ptr<uint8_t[]> args_;
  87. size_t arg_size_ = 0;
  88. void *sm_desc_ = nullptr;
  89. std::string stub_name_;
  90. StreamResource *stream_resource_ = nullptr;
  91. void *tiling_buffer_ = nullptr;
  92. uint32_t max_tiling_size_ = 0;
  93. std::string tiling_data_;
  94. std::vector<void *> workspaces_;
  95. NodePtr node_;
  96. };
  97. class AiCpuBaseTask : public OpTask {
  98. public:
  99. AiCpuBaseTask() = default;
  100. ~AiCpuBaseTask() override;
  101. UnknowShapeOpType GetUnknownType() const { return unknown_type_; }
  102. Status UpdateArgTable(const SingleOpModelParam &param) override;
  103. protected:
  104. Status UpdateIoAddr(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
  105. Status SetInputConst();
  106. Status SetExtInfoAndType(const std::string &kernel_ext_info, uint64_t kernel_id);
  107. Status UpdateExtInfo(const std::vector<GeTensorDesc> &input_desc,
  108. std::vector<GeTensorDesc> &output_desc,
  109. rtStream_t stream);
  110. Status UpdateOutputShape(vector<GeTensorDesc> &output_desc);
  111. Status UpdateShapeToOutputDesc(const GeShape &shape_new, GeTensorDesc &output_desc);
  112. protected:
  113. size_t num_inputs_ = 0;
  114. size_t num_outputs_ = 0;
  115. UnknowShapeOpType unknown_type_ = DEPEND_IN_SHAPE;
  116. std::unique_ptr<ge::hybrid::AicpuExtInfoHandler> aicpu_ext_handle_;
  117. void *ext_info_addr_dev_ = nullptr;
  118. vector<bool> input_is_const_;
  119. };
  120. class AiCpuTask : public AiCpuBaseTask {
  121. public:
  122. AiCpuTask() = default;
  123. ~AiCpuTask() override;
  124. Status LaunchKernel(rtStream_t stream) override;
  125. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  126. Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  127. const std::vector<DataBuffer> &input_buffers,
  128. std::vector<GeTensorDesc> &output_desc,
  129. std::vector<DataBuffer> &output_buffers,
  130. rtStream_t stream) override;
  131. Status SetMemCopyTask(const domi::KernelExDef &kernel_def);
  132. private:
  133. // for copy task.
  134. Status InitForSummaryAndCopy();
  135. Status UpdateShapeAndDataByResultSummary(vector<GeTensorDesc> &output_desc,
  136. vector<DataBuffer> &outputs,
  137. rtStream_t stream);
  138. Status ReadResultSummaryAndPrepareMemory();
  139. Status CopyDataToHbm(vector<DataBuffer> &outputs, rtStream_t stream);
  140. Status PrepareCopyInputs(vector<DataBuffer> &outputs);
  141. Status UpdateShapeByHbmBuffer(vector<GeTensorDesc> &output_desc);
  142. friend class AiCpuTaskBuilder;
  143. void *workspace_addr_ = nullptr;
  144. std::string task_info_;
  145. // device addr
  146. void *args_ = nullptr;
  147. size_t arg_size_ = 0;
  148. std::string op_type_;
  149. // device addr
  150. void *io_addr_ = nullptr;
  151. size_t io_addr_size_ = 0;
  152. // host addr
  153. std::vector<void *> io_addr_host_;
  154. bool dynamic_flag_ = false;
  155. // for copy task
  156. void *copy_task_args_buf_ = nullptr;
  157. void *copy_workspace_buf_ = nullptr;
  158. std::vector<void *> output_summary_;
  159. std::vector<aicpu::FWKAdapter::ResultSummary> output_summary_host_;
  160. void *copy_ioaddr_dev_ = nullptr;
  161. void *copy_input_release_flag_dev_ = nullptr;
  162. void *copy_input_data_size_dev_ = nullptr;
  163. void *copy_input_src_dev_ = nullptr;
  164. void *copy_input_dst_dev_ = nullptr;
  165. vector<void *> out_shape_hbm_;
  166. uint64_t kernel_id_ = 0;
  167. };
  168. class AiCpuCCTask : public AiCpuBaseTask {
  169. public:
  170. AiCpuCCTask() = default;
  171. ~AiCpuCCTask() override;
  172. AiCpuCCTask(const AiCpuCCTask &) = delete;
  173. AiCpuCCTask &operator=(const AiCpuCCTask &) = delete;
  174. Status LaunchKernel(rtStream_t stream) override;
  175. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  176. const void *GetArgs() const;
  177. void SetKernelArgs(std::unique_ptr<uint8_t[]> args, size_t arg_size);
  178. void SetSoName(const std::string &so_name);
  179. void SetkernelName(const std::string &kernel_Name);
  180. void SetIoAddr(uintptr_t *io_addr);
  181. size_t GetArgSize() const;
  182. Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  183. const std::vector<DataBuffer> &input_buffers,
  184. std::vector<GeTensorDesc> &output_desc,
  185. std::vector<DataBuffer> &output_buffers,
  186. rtStream_t stream) override;
  187. private:
  188. friend class AiCpuCCTaskBuilder;
  189. std::string so_name_;
  190. std::string kernel_name_;
  191. std::unique_ptr<uint8_t[]> args_;
  192. size_t arg_size_ = 0;
  193. void *sm_desc_ = nullptr;
  194. uintptr_t *io_addr_ = nullptr;
  195. size_t io_addr_num_ = 0;
  196. bool is_custom_ = false;
  197. uint32_t dump_flag_ = RT_KERNEL_DEFAULT;
  198. std::string op_type_;
  199. uint64_t kernel_id_ = 0;
  200. };
  201. } // namespace ge
  202. #endif // GE_SINGLE_OP_TASK_OP_TASK_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