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block_mem_assigner.h 16 kB

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  1. /**
  2. * Copyright 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_GRAPH_BUILD_MEMORY_BLOCK_MEM_ASSIGNER_H_
  17. #define GE_GRAPH_BUILD_MEMORY_BLOCK_MEM_ASSIGNER_H_
  18. #include <map>
  19. #include <string>
  20. #include <unordered_map>
  21. #include <unordered_set>
  22. #include <utility>
  23. #include <vector>
  24. #include <list>
  25. #include "common/ge_inner_error_codes.h"
  26. #include "common/types.h"
  27. #include "common/util.h"
  28. #include "graph/build/memory/mem_assigner.h"
  29. #include "graph/compute_graph.h"
  30. #include "graph/utils/graph_utils.h"
  31. namespace ge {
  32. const size_t kMaxLifeTime = 0xffffffff;
  33. using DependStreamLife = std::map<int64_t, std::map<int64_t, size_t>>;
  34. enum OpMemoryType { kOutput, kWorkspace };
  35. struct NodeTypeIndex {
  36. NodeTypeIndex(ge::NodePtr node, OpMemoryType mem_type, uint32_t index, bool ref_input = false, size_t begin = 0)
  37. : node(std::move(node)), mem_type(mem_type), index(index), ref_input(ref_input), life_time_begin(begin) {}
  38. ge::NodePtr node = nullptr;
  39. OpMemoryType mem_type = kOutput;
  40. uint32_t index = 0;
  41. bool ref_input = false;
  42. size_t life_time_begin = 0;
  43. size_t life_time_end = kMaxLifeTime;
  44. const string GetMemType() const {
  45. if (mem_type == kOutput) {
  46. return "output";
  47. } else if (mem_type == kWorkspace) {
  48. return "workspace";
  49. }
  50. return "unknown";
  51. }
  52. size_t GetLifeBegin() const {
  53. if ((node == nullptr) || (node->GetOpDesc() == nullptr)) {
  54. return 0;
  55. }
  56. if ((life_time_begin > 0) && (life_time_begin < static_cast<size_t>(node->GetOpDesc()->GetId()))) {
  57. return life_time_begin;
  58. } else {
  59. return node->GetOpDesc()->GetId();
  60. }
  61. }
  62. std::string GetLifeBeginDesc() const {
  63. if (node == nullptr) {
  64. return "";
  65. }
  66. auto node_op_desc = node->GetOpDesc();
  67. if (node_op_desc != nullptr) {
  68. auto life_begin = GetLifeBegin();
  69. if (life_begin != static_cast<size_t>(node_op_desc->GetId())) {
  70. return std::to_string(life_begin) + "-" + std::to_string(node_op_desc->GetId());
  71. } else {
  72. return std::to_string(node_op_desc->GetId());
  73. }
  74. }
  75. return "";
  76. }
  77. };
  78. class MemoryBlock {
  79. public:
  80. explicit MemoryBlock(size_t block_size, int64_t stream_id = 0, bool reuse_mem = true,
  81. int64_t memory_type = RT_MEMORY_HBM)
  82. : ref_count_(0),
  83. stream_id_(stream_id),
  84. deleted_block_(false),
  85. reuse_mem_(reuse_mem),
  86. same_stream_(true),
  87. input_index_(0),
  88. continuous_block_(false),
  89. first_continuous_block_(false),
  90. last_continuous_block_(false),
  91. is_zero_copy_(false),
  92. memory_type_(memory_type),
  93. block_size_(block_size),
  94. head_offset_(0),
  95. tail_offset_(0),
  96. child_offset_(0) {}
  97. MemoryBlock(const MemoryBlock &) = delete;
  98. MemoryBlock &operator=(const MemoryBlock &) = delete;
  99. ~MemoryBlock() {
  100. node_type_index_list_.clear();
  101. symbol_list_.clear();
  102. }
  103. size_t Size() const { return block_size_; }
  104. void SetSize(size_t size) {
  105. if (size > block_size_) {
  106. block_size_ = size;
  107. }
  108. }
  109. size_t AlignSize() const;
  110. void SetHeadOffset(size_t offset);
  111. void SetTailOffset(size_t offset);
  112. size_t HeadOffset() const { return head_offset_; }
  113. size_t TailOffset() const { return tail_offset_; }
  114. void AddNodeTypeIndex(const NodeTypeIndex &node_type_index, size_t real_size, size_t no_align_size) {
  115. node_type_index_list_.emplace_back(node_type_index);
  116. real_size_list_.emplace_back(real_size);
  117. no_align_size_list_.emplace_back(no_align_size);
  118. if ((node_type_index.node != nullptr) && (node_type_index.node->GetOpDesc() != nullptr)) {
  119. auto stream_id = node_type_index.node->GetOpDesc()->GetStreamId();
  120. if (stream_id != stream_id_) {
  121. same_stream_ = false;
  122. }
  123. }
  124. }
  125. void AddSymbol(const std::string &symbol) {
  126. symbol_list_.emplace_back(symbol);
  127. }
  128. const std::vector<NodeTypeIndex> &NodeTypeIndexList() const { return node_type_index_list_; }
  129. const std::vector<std::string> &SymbolList() const { return symbol_list_; }
  130. const std::vector<size_t> &RealSizeList() const { return real_size_list_; }
  131. const std::vector<MemoryBlock *> &ChildBlockList() const { return child_blocks_; }
  132. const std::vector<size_t> &NoAlignSizeList() const { return no_align_size_list_; }
  133. void Resize();
  134. std::string String();
  135. bool IsSameBatchLabel();
  136. void AddContinuousLifeReuseBlock(MemoryBlock *block, DependStreamLife &total_node_depend_stream_life);
  137. void AddLifeReuseBlock(MemoryBlock *block, DependStreamLife &node_depend_stream_life);
  138. void SetLifeTimeEnd(size_t time);
  139. size_t GetLifeBegin();
  140. size_t GetLifeEnd() const;
  141. void AddDependLifeBegin(DependStreamLife &node_depend_stream_life);
  142. size_t GetDependLifeBegin(int64_t stream_id, DependStreamLife &node_depend_stream_life);
  143. int ref_count_;
  144. int64_t stream_id_;
  145. bool deleted_block_;
  146. bool reuse_mem_;
  147. bool same_stream_;
  148. uint32_t input_index_;
  149. bool continuous_block_;
  150. bool first_continuous_block_;
  151. bool last_continuous_block_;
  152. bool is_zero_copy_;
  153. std::map<int64_t, size_t> depend_stream_life_;
  154. int64_t memory_type_;
  155. std::string batch_label_;
  156. private:
  157. size_t block_size_;
  158. std::vector<size_t> real_size_list_;
  159. std::vector<size_t> no_align_size_list_;
  160. size_t head_offset_;
  161. size_t tail_offset_;
  162. size_t child_offset_;
  163. std::vector<NodeTypeIndex> node_type_index_list_;
  164. std::vector<std::string> symbol_list_;
  165. std::vector<MemoryBlock *> child_blocks_;
  166. };
  167. class BlockMemAssigner : public MemAssigner {
  168. public:
  169. BlockMemAssigner(ComputeGraphPtr compute_graph, const std::map<std::string, std::string> &anchor_to_symbol,
  170. const std::map<std::string, std::list<NodeIndexIO>> &symbol_to_anchors);
  171. BlockMemAssigner(const BlockMemAssigner &) = delete;
  172. BlockMemAssigner &operator=(const BlockMemAssigner &) = delete;
  173. ~BlockMemAssigner() override;
  174. Status Assign() override;
  175. size_t GetMemOffset() const { return mem_offset_; }
  176. size_t GetP2PMemOffset() const { return p2p_mem_offset_; }
  177. int64_t GetAtomicAddrCleanId() const { return atomic_addr_clean_id_; }
  178. std::vector<MemoryBlock *> GetMemoryBlocks() const { return memory_blocks_; }
  179. ///
  180. /// @ingroup domi
  181. /// @brief memory size fixed for reuse. get memory range
  182. /// @param [out] ranges return memory range
  183. /// @return Status result
  184. ///
  185. virtual Status GetMemoryRanges(std::vector<int64_t> &ranges) = 0;
  186. ///
  187. /// @ingroup domi
  188. /// @brief traverse all nodes' outputs and needed workspace mem, apply memory, consider reuse memory
  189. /// @param [in] ranges memory range provided
  190. /// @author
  191. ///
  192. void AssignMemoryWithReuse(std::vector<int64_t> &ranges);
  193. void SetOpMemOffset(bool is_zero_copy);
  194. std::string GetMaxBatchLabel() const { return max_batch_label_; }
  195. protected:
  196. ///
  197. /// @ingroup domi
  198. /// @brief traverse all memory size, resize, and calculate offset
  199. /// @param [in&out] memory_blocks memory size, resize and calculate memory address after offset
  200. ///
  201. void ResizeMemoryBlocks();
  202. void GetOutAndWorkSpaceMem(std::vector<int64_t> &all_memory_size);
  203. void GetNodeWorkSpaceSize(const ge::NodePtr &node, std::vector<int64_t> &workspace_memory, int64_t &total_size);
  204. ///
  205. /// @ingroup GE
  206. /// @brief Determine whether it is the type of zero memory node.
  207. /// @param [in] node type.
  208. /// @return bool true: is zero memory node; false: is not zero memory node
  209. /// @author
  210. ///
  211. bool CheckIsZeroMemNodeType(const std::string &node_type) const;
  212. ///
  213. /// @ingroup GE
  214. /// @brief Check pre_reuse flag & post_reuse glag for each symbol
  215. /// @return void
  216. ///
  217. void InitReuseFlag();
  218. ///
  219. /// @ingroup GE
  220. /// @brief get pre_reuse flag
  221. /// @param [in] node
  222. /// @param [in] out_index
  223. /// @return bool
  224. ///
  225. bool IsPreReuse(const NodePtr &node, uint32_t out_index) const;
  226. ///
  227. /// @ingroup GE
  228. /// @brief get post_reuse flag
  229. /// @param [in] mem_block
  230. /// @return bool
  231. ///
  232. bool IsPostReuse(const MemoryBlock *mem_block) const;
  233. ///
  234. /// @ingroup GE
  235. /// @brief check if symbol of cur node_index_io has block
  236. /// @param [in] node_index_io
  237. /// @param [out] symbol
  238. /// @return bool
  239. ///
  240. bool IsSymbolExist(const NodeIndexIO &node_index_io, std::string &symbol);
  241. ///
  242. /// @ingroup GE
  243. /// @brief Print symbol
  244. /// @return void
  245. ///
  246. void PrintSymbolMap();
  247. ///
  248. /// @ingroup GE
  249. /// @brief Get the memory type corresponding to the current symbol.
  250. /// @param [in] node_index_io_list
  251. /// @param [out] memory_type
  252. /// @return void
  253. ///
  254. void GetSymbolMemType(std::list<NodeIndexIO> node_index_io_list, int64_t &memory_type);
  255. ///
  256. /// @ingroup GE
  257. /// @brief Update input tensor or output tensor of op to new memory type attr.
  258. /// @param [in] node_index_io_list
  259. /// @param [in] memory_type
  260. /// @return void
  261. ///
  262. void UpdateOpTensorMemType(std::list<NodeIndexIO> node_index_io_list, int64_t memory_type);
  263. size_t mem_offset_;
  264. size_t p2p_mem_offset_;
  265. ge::ComputeGraphPtr compute_graph_;
  266. std::vector<MemoryBlock *> memory_blocks_;
  267. std::vector<MemoryBlock *> blocks_store_;
  268. std::vector<NodeTypeIndex> zero_memory_list_;
  269. // ref mapping
  270. const std::map<std::string, std::list<NodeIndexIO>> &symbol_to_anchors_;
  271. const std::map<std::string, std::string> &anchor_to_symbol_;
  272. std::map<std::string, bool> pre_reuse_flag_;
  273. std::map<std::string, bool> post_reuse_flag_;
  274. std::map<std::string, size_t> symbol_size_;
  275. std::map<std::string, int64_t> symbol_to_mem_type_;
  276. private:
  277. ///
  278. /// @ingroup GE
  279. /// @brief Traversing the compute_graph_ to apply for output memory while considering reuse
  280. /// @param [in] n: node in compute_graph_
  281. /// @param [in] index: output node index
  282. /// @param [in] ranges: available memory specifications
  283. /// @param [in] is_op_reuse_mem: Whether the op reuses the memory, true: reuse; false: not reuse
  284. /// @param [in] continuous: Whether the op uses continuous memory
  285. /// @return MemoryBlock*
  286. /// @author
  287. ///
  288. MemoryBlock *ApplyOutMemory(const ge::NodePtr &n, uint32_t index, const std::vector<int64_t> &ranges,
  289. const bool is_op_reuse_mem, const bool continuous);
  290. Status AssignOutputMemoryWithReuse(const NodePtr &node, vector<int64_t> &ranges);
  291. ///
  292. /// @ingroup GE
  293. /// @brief Traversing the compute_graph_ to apply for memory while considering reuse
  294. /// @param [in] block_size applied memory block size
  295. /// @param [in] real_size actual memory size required
  296. /// @param [in] type output or workspace
  297. /// @param [in] n node in compute_graph_
  298. /// @param [in] out_index output node index
  299. /// @param [in] workspace_reuse_flag reuse flag for workspace
  300. /// @param [in] is_op_reuse_mem whether the op reuses memory
  301. /// @param [in] continuous whether the memory of op is continuous
  302. /// @param [in] memory_type device memory type
  303. /// @return MemoryBlock*
  304. /// @author
  305. ///
  306. MemoryBlock *ApplyMemory(size_t block_size, size_t real_size, size_t no_align_size, OpMemoryType mem_type,
  307. const ge::NodePtr &n, uint32_t out_index, const std::vector<bool> &workspace_reuse_flag,
  308. const bool is_op_reuse_mem, const bool continuous, int64_t memory_type);
  309. ///
  310. /// @ingroup GE
  311. /// @brief check workspace_reuse_flag to judge if add workspace block wait reuse
  312. /// @param [in] workspace_reuse_flag mark out index if support resue
  313. /// @param [in] index out index
  314. /// @param [in] stream_id which stream op in
  315. /// @param [in] mem_block node workspace mem_block
  316. /// @param [in] memory_type workspace memory type
  317. /// @return void
  318. /// @author
  319. ///
  320. void CheckWorkspaceReuse(const vector<bool> &workspace_reuse_flag, uint32_t index, int64_t stream_id,
  321. MemoryBlock *mem_block, int64_t memory_type);
  322. ///
  323. /// @ingroup GE
  324. /// @brief Release memory block to reusable list
  325. /// @param [in] to_release memory block to be released
  326. /// @param [in] reusable_memory reusable list
  327. /// @return void
  328. /// @author
  329. ///
  330. void ReleaseMemory(MemoryBlock *to_release, vector<MemoryBlock *> &reusable_memory, bool same_stream = true);
  331. ///
  332. /// @ingroup GE
  333. /// @brief Release memory blocks to reusable list
  334. /// @param [in] to_releases memory blocks to be released
  335. /// @param [in] reusable_memory reusable list
  336. /// @return void
  337. /// @author
  338. ///
  339. void ReleaseMemorys(const vector<MemoryBlock *> &to_releases, vector<MemoryBlock *> &reusable_memory);
  340. ///
  341. /// @ingroup GE
  342. /// @brief Release memory block to reusable list
  343. /// @param [in] n node in compute_graph_
  344. /// @param [in] node_out_blocks output memory blocks for ops
  345. /// @param [in] reusable_memory reusable list
  346. /// @return void
  347. /// @author
  348. ///
  349. void ReleaseInputNodeOutMemory(const std::unordered_map<string, vector<MemoryBlock *>> &node_out_blocks,
  350. vector<MemoryBlock *> &reusable_memory, ge::NodePtr &n);
  351. ///
  352. /// @ingroup GE
  353. /// @brief Resize memory blocks for each batchs
  354. /// @return merge or not
  355. /// @author
  356. ///
  357. void ResizeDynamicBatchBlocks();
  358. void AssignContinuousBlocks();
  359. bool IsZeroCopyBlock(const NodePtr &node, bool continuous);
  360. bool IsOutNodeSetContinuousInput(const NodePtr &n, uint32_t out_index, std::string &peer_name,
  361. uint32_t &peer_input_index, bool &no_need_assign_memory, bool &reset_zero_copy_flag);
  362. bool IsContinuousMemoryReuse(const NodePtr &n, const NodePtr &peer_node, uint32_t out_index);
  363. ///
  364. /// @ingroup GE
  365. /// @|+++++++++block1++++++++| |+++++++++block1++++++++|
  366. /// @|+++++++++block1++++++++||++block2++| |+++++++++block1++++++++||++block2++|
  367. /// @ |++block2++||++block3++| ==> |++block3++| |++block2++|
  368. /// @ |++block3++| |++block3++|
  369. /// @return void
  370. /// @author
  371. ///
  372. void ReuseBlocksByLifeTime(size_t range_size);
  373. bool IsContinuousOutput(const NodePtr &n);
  374. bool GetWorkSpaceMemoryType(const NodePtr &node, size_t index, int64_t &memory_type);
  375. void ContinuousOutRefCheck(bool &isAllOutputRef, bool &isOutputHasRef, const NodePtr &n);
  376. Status ApplyContinuousMemory(const NodePtr &n, const vector<int64_t> &ranges, const bool is_op_reuse_mem);
  377. void MarkContinuousAllocedForOneInputFromVariable(const NodePtr &node);
  378. std::unordered_map<int64_t, std::unordered_map<int64_t, std::vector<MemoryBlock *>>> reusable_blocks_;
  379. std::unordered_map<int64_t, std::unordered_map<int64_t, std::vector<MemoryBlock *>>> stream_workspace_blocks_;
  380. std::unordered_map<std::string, std::vector<MemoryBlock *>> node_out_blocks_;
  381. std::unordered_map<std::string, MemoryBlock *> symbol_blocks_;
  382. std::unordered_map<std::string, std::unordered_map<uint32_t, MemoryBlock *>> node_continuous_input_blocks_;
  383. std::unordered_map<std::string, uint32_t> node_continuous_input_counts_;
  384. // reuse memory
  385. vector<string> op_no_reuse_mem_vec_;
  386. bool op_reuse_env_valid_ = false;
  387. std::string ge_disable_reuse_mem_env_ = "0";
  388. bool is_op_reuse_mem_ = true;
  389. size_t life_time_;
  390. int64_t atomic_addr_clean_id_ = 0;
  391. size_t theory_min_memory_size_ = 0;
  392. size_t theory_memory_size_ = 0;
  393. std::string max_batch_label_;
  394. size_t continuous_life_begin_ = 0;
  395. ///
  396. /// @ [stream1][nodeid]
  397. /// @[nodeid] [stream2][nodeid]
  398. /// @ [stream2][nodeid]
  399. ///
  400. DependStreamLife total_node_depend_stream_life_;
  401. };
  402. } // namespace ge
  403. #endif // GE_GRAPH_BUILD_MEMORY_BLOCK_MEM_ASSIGNER_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