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op_task.h 11 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 "framework/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. #include "register/op_tiling.h"
  31. namespace ge {
  32. namespace {
  33. const int kAddressNum = 2;
  34. } // namespace
  35. class StreamResource;
  36. struct SingleOpModelParam;
  37. class OpTask {
  38. public:
  39. OpTask() = default;
  40. virtual ~OpTask() = default;
  41. virtual Status LaunchKernel(rtStream_t stream) = 0;
  42. virtual Status UpdateRunInfo();
  43. virtual Status UpdateArgTable(const SingleOpModelParam &param);
  44. void SetModelArgs(std::string model_name, uint32_t model_id);
  45. Status GetProfilingArgs(TaskDescInfo &task_desc_info, uint32_t &model_id);
  46. const std::string &GetTaskName() const {return task_name_;}
  47. void SetOpDesc(const OpDescPtr &op_desc) {
  48. op_desc_ = op_desc;
  49. }
  50. const OpDescPtr &GetOpdesc() const {return op_desc_;}
  51. Status OpenDump(rtStream_t stream);
  52. virtual void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) = 0;
  53. virtual Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  54. const std::vector<DataBuffer> &input_buffers,
  55. std::vector<GeTensorDesc> &output_desc,
  56. std::vector<DataBuffer> &output_buffers,
  57. rtStream_t stream);
  58. virtual const std::string &GetTaskType() const;
  59. protected:
  60. Status DoUpdateArgTable(const SingleOpModelParam &param, bool keep_workspace);
  61. DumpProperties dump_properties_;
  62. DumpOp dump_op_;
  63. OpDescPtr op_desc_;
  64. std::string model_name_;
  65. uint32_t model_id_ = 0;
  66. uint32_t block_dim_ = 1;
  67. std::string task_name_;
  68. };
  69. class TbeOpTask : public OpTask {
  70. public:
  71. ~TbeOpTask() override;
  72. Status LaunchKernel(rtStream_t stream) override;
  73. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  74. void SetSmDesc(void *sm_desc);
  75. void SetStubFunc(const std::string &name, const void *stub_func);
  76. void SetKernelArgs(std::unique_ptr<uint8_t[]> &&args, size_t arg_size, uint32_t block_dim, const OpDescPtr &op_desc);
  77. void SetKernelWithHandleArgs(std::unique_ptr<uint8_t[]> &&args, size_t arg_size, uint32_t block_dim,
  78. const OpDescPtr &op_desc, const domi::KernelDefWithHandle& kernel_def_with_handle);
  79. void SetAtomicAddrCleanTask(OpTask *task) { atomic_task_.reset(task); }
  80. Status UpdateRunInfo() override;
  81. Status SetArgIndex();
  82. const void *GetArgs() const;
  83. size_t GetArgSize() const;
  84. const std::string &GetStubName() const;
  85. Status EnableDynamicSupport(const NodePtr &node, void *tiling_buffer, uint32_t max_tiling_size);
  86. const std::string &GetTaskType() const override;
  87. void SetHandle(void *handle);
  88. protected:
  89. NodePtr node_;
  90. std::unique_ptr<uint8_t[]> args_;
  91. size_t arg_size_ = 0;
  92. void *tiling_buffer_ = nullptr;
  93. uint32_t max_tiling_size_ = 0;
  94. std::string tiling_data_;
  95. size_t input_num_; // include const input
  96. size_t output_num_;
  97. private:
  98. friend class SingleOpModel;
  99. friend class TbeTaskBuilder;
  100. static Status UpdateTensorDesc(const GeTensorDesc &src_tensor, GeTensorDesc &dst_tensor);
  101. Status AllocateWorkspaces(const std::vector<int64_t> &workspace_sizes);
  102. Status DoLaunchKernel(rtStream_t stream);
  103. Status CheckAndExecuteAtomic(const vector<GeTensorDesc> &input_desc,
  104. const vector<DataBuffer> &input_buffers,
  105. vector<GeTensorDesc> &output_desc,
  106. vector<DataBuffer> &output_buffers,
  107. rtStream_t stream);
  108. virtual Status UpdateNodeByShape(const vector<GeTensorDesc> &input_desc,
  109. const vector<GeTensorDesc> &output_desc);
  110. virtual Status UpdateTilingArgs(rtStream_t stream);
  111. virtual Status UpdateIoAddr(const vector<DataBuffer> &inputs, const vector<DataBuffer> &outputs);
  112. virtual Status CalcTilingInfo(optiling::utils::OpRunInfo &run_info);
  113. const void *stub_func_ = nullptr;
  114. void *sm_desc_ = nullptr;
  115. std::string stub_name_;
  116. StreamResource *stream_resource_ = nullptr;
  117. std::vector<int64_t> run_info_workspaces_;
  118. std::vector<void *> workspaces_;
  119. uint32_t tiling_key_ = 0;
  120. bool clear_atomic_ = false;
  121. void* handle_ = nullptr;
  122. std::string original_kernel_key_;
  123. std::string node_info_;
  124. std::vector<size_t> arg_index_; // data index in args
  125. std::unique_ptr<OpTask> atomic_task_;
  126. };
  127. class AtomicAddrCleanOpTask : public TbeOpTask {
  128. public:
  129. Status InitAtomicAddrCleanIndices();
  130. private:
  131. Status UpdateNodeByShape(const vector<GeTensorDesc> &input_desc,
  132. const vector<GeTensorDesc> &output_desc) override;
  133. Status UpdateIoAddr(const vector<DataBuffer> &inputs, const vector<DataBuffer> &outputs) override;
  134. Status UpdateTilingArgs(rtStream_t stream) override;
  135. Status CalcTilingInfo(optiling::utils::OpRunInfo &run_info) override;
  136. std::vector<int> atomic_output_indices_;
  137. };
  138. class AiCpuBaseTask : public OpTask {
  139. public:
  140. AiCpuBaseTask() = default;
  141. ~AiCpuBaseTask() override;
  142. UnknowShapeOpType GetUnknownType() const { return unknown_type_; }
  143. Status UpdateArgTable(const SingleOpModelParam &param) override;
  144. const std::string &GetTaskType() const override;
  145. protected:
  146. Status UpdateIoAddr(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
  147. Status SetInputConst();
  148. Status SetExtInfoAndType(const std::string &kernel_ext_info, uint64_t kernel_id);
  149. Status UpdateExtInfo(const std::vector<GeTensorDesc> &input_desc,
  150. std::vector<GeTensorDesc> &output_desc,
  151. rtStream_t stream);
  152. Status UpdateOutputShape(vector<GeTensorDesc> &output_desc);
  153. Status UpdateShapeToOutputDesc(const GeShape &shape_new, GeTensorDesc &output_desc);
  154. // for blocking aicpu op
  155. Status DistributeWaitTaskForAicpuBlockingOp(rtStream_t stream);
  156. Status UpdateEventIdForBlockingAicpuOp();
  157. Status CheckDeviceSupportBlockingAicpuOpProcess(bool &is_support);
  158. protected:
  159. size_t num_inputs_ = 0;
  160. size_t num_outputs_ = 0;
  161. UnknowShapeOpType unknown_type_ = DEPEND_IN_SHAPE;
  162. std::unique_ptr<ge::hybrid::AicpuExtInfoHandler> aicpu_ext_handle_;
  163. void *ext_info_addr_dev_ = nullptr;
  164. vector<bool> input_is_const_;
  165. // for blocking aicpu op
  166. bool is_blocking_aicpu_op_ = false;
  167. rtEvent_t rt_event_ = nullptr;
  168. };
  169. class AiCpuTask : public AiCpuBaseTask {
  170. public:
  171. AiCpuTask() = default;
  172. ~AiCpuTask() override;
  173. Status LaunchKernel(rtStream_t stream) override;
  174. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  175. Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  176. const std::vector<DataBuffer> &input_buffers,
  177. std::vector<GeTensorDesc> &output_desc,
  178. std::vector<DataBuffer> &output_buffers,
  179. rtStream_t stream) override;
  180. Status SetMemCopyTask(const domi::KernelExDef &kernel_def);
  181. private:
  182. // for copy task.
  183. Status InitForSummaryAndCopy();
  184. Status UpdateShapeAndDataByResultSummary(vector<GeTensorDesc> &output_desc,
  185. vector<DataBuffer> &outputs,
  186. rtStream_t stream);
  187. Status ReadResultSummaryAndPrepareMemory();
  188. Status CopyDataToHbm(vector<DataBuffer> &outputs, rtStream_t stream);
  189. Status PrepareCopyInputs(vector<DataBuffer> &outputs);
  190. Status UpdateShapeByHbmBuffer(vector<GeTensorDesc> &output_desc);
  191. friend class AiCpuTaskBuilder;
  192. void *workspace_addr_ = nullptr;
  193. std::string task_info_;
  194. // device addr
  195. void *args_ = nullptr;
  196. size_t arg_size_ = 0;
  197. std::string op_type_;
  198. // device addr
  199. void *io_addr_ = nullptr;
  200. size_t io_addr_size_ = 0;
  201. // host addr
  202. std::vector<void *> io_addr_host_;
  203. // for copy task
  204. void *copy_task_args_buf_ = nullptr;
  205. void *copy_workspace_buf_ = nullptr;
  206. std::vector<void *> output_summary_;
  207. std::vector<aicpu::FWKAdapter::ResultSummary> output_summary_host_;
  208. void *copy_ioaddr_dev_ = nullptr;
  209. void *copy_input_release_flag_dev_ = nullptr;
  210. void *copy_input_data_size_dev_ = nullptr;
  211. void *copy_input_src_dev_ = nullptr;
  212. void *copy_input_dst_dev_ = nullptr;
  213. vector<void *> out_shape_hbm_;
  214. uint64_t kernel_id_ = 0;
  215. };
  216. class AiCpuCCTask : public AiCpuBaseTask {
  217. public:
  218. AiCpuCCTask() = default;
  219. ~AiCpuCCTask() override;
  220. AiCpuCCTask(const AiCpuCCTask &) = delete;
  221. AiCpuCCTask &operator=(const AiCpuCCTask &) = delete;
  222. Status LaunchKernel(rtStream_t stream) override;
  223. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  224. const void *GetArgs() const;
  225. void SetKernelArgs(std::unique_ptr<uint8_t[]> args, size_t arg_size);
  226. void SetSoName(const std::string &so_name);
  227. void SetkernelName(const std::string &kernel_Name);
  228. void SetIoAddr(uintptr_t *io_addr);
  229. size_t GetArgSize() const;
  230. Status LaunchKernel(const std::vector<GeTensorDesc> &input_desc,
  231. const std::vector<DataBuffer> &input_buffers,
  232. std::vector<GeTensorDesc> &output_desc,
  233. std::vector<DataBuffer> &output_buffers,
  234. rtStream_t stream) override;
  235. private:
  236. friend class AiCpuCCTaskBuilder;
  237. std::string so_name_;
  238. std::string kernel_name_;
  239. std::unique_ptr<uint8_t[]> args_;
  240. size_t arg_size_ = 0;
  241. void *sm_desc_ = nullptr;
  242. uintptr_t *io_addr_ = nullptr;
  243. size_t io_addr_num_ = 0;
  244. bool is_custom_ = false;
  245. uint32_t dump_flag_ = RT_KERNEL_DEFAULT;
  246. std::string op_type_;
  247. uint64_t kernel_id_ = 0;
  248. };
  249. class MemcpyAsyncTask : public OpTask {
  250. public:
  251. Status LaunchKernel(rtStream_t stream) override;
  252. void GetIoAddr(uintptr_t *&arg_base, size_t &arg_count) override;
  253. private:
  254. friend class SingleOpModel;
  255. friend class RtsKernelTaskBuilder;
  256. uintptr_t addresses_[kAddressNum] = {0};
  257. size_t dst_max_;
  258. size_t count_;
  259. rtMemcpyKind_t kind_;
  260. NodePtr node_;
  261. };
  262. } // namespace ge
  263. #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