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