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model_builder.cc 48 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. #include "graph/build/model_builder.h"
  17. #include <securectype.h>
  18. #include <iostream>
  19. #include <set>
  20. #include <unordered_map>
  21. #include "common/ge/ge_util.h"
  22. #include "common/dump/dump_manager.h"
  23. #include "framework/common/debug/ge_log.h"
  24. #include "graph/anchor.h"
  25. #include "external/graph/attr_value.h"
  26. #include "graph/buffer.h"
  27. #include "graph/build/stream_allocator.h"
  28. #include "common/omg_util.h"
  29. #include "common/ge_call_wrapper.h"
  30. #include "common/local_context.h"
  31. #include "graph/debug/ge_attr_define.h"
  32. #include "graph/ge_attr_value.h"
  33. #include "graph/ge_context.h"
  34. #include "external/graph/ge_error_codes.h"
  35. #include "graph/optimize/common/params.h"
  36. #include "external/graph/types.h"
  37. #include "graph/utils/attr_utils.h"
  38. #include "graph/utils/graph_utils.h"
  39. #include "graph/utils/node_utils.h"
  40. #include "graph/utils/op_desc_utils.h"
  41. #include "graph/utils/tensor_utils.h"
  42. #include "graph/utils/type_utils.h"
  43. #include "init/gelib.h"
  44. #include "framework/memory/memory_assigner.h"
  45. #include "framework/omg/version.h"
  46. #include "register/op_registry.h"
  47. #include "graph/passes/set_input_output_offset_pass.h"
  48. #include "graph/build/memory/block_mem_assigner.h"
  49. using std::map;
  50. using std::set;
  51. using std::string;
  52. using std::vector;
  53. namespace {
  54. const uint32_t kWeightsStartOffset = 512;
  55. const int32_t kWrongIndex = -2;
  56. const int kInvalidIndexNum = -1;
  57. const char *const kVectorCore = "VectorCore";
  58. const char *const kCoreType = "ge.engineType";
  59. const std::string kEnableL1Fusion = "ge.l1Fusion";
  60. const set<string> adjust_layer_type_ = {ge::CONVOLUTION};
  61. bool IsGeLocalOp(const ge::ConstOpDescPtr &op_desc) {
  62. auto type = op_desc->GetType();
  63. if (type == ge::CONSTANTOP) {
  64. // constant op just has one output
  65. ge::GeTensorDesc output_desc = op_desc->GetOutputDesc(0);
  66. return !(output_desc.GetDataType() == ge::DT_STRING);
  67. }
  68. const set<string> ge_local_set = {ge::STREAMMERGE, ge::MEMCPYASYNC, ge::STREAMACTIVE, ge::STREAMSWITCH,
  69. ge::VARIABLE, ge::NOOP, ge::CONSTANT, ge::ENTER,
  70. ge::REFENTER, ge::LOOPCOND, ge::NEXTITERATION, ge::REFNEXTITERATION,
  71. ge::EXIT, ge::REFEXIT, ge::MERGE, ge::MEMCPYADDRASYNC};
  72. return (ge_local_set.find(type) != ge_local_set.end());
  73. }
  74. } // namespace
  75. namespace ge {
  76. ModelBuilder::ModelBuilder(uint64_t session_id, ge::ComputeGraphPtr compute_graph,
  77. const Graph2SubGraphInfoList &subgraphs, const map<string, int> &stream_max_parallel_num,
  78. bool hcom_parallel, int mode)
  79. : session_id_(session_id),
  80. weight_offset_(kWeightsStartOffset),
  81. compute_graph_(std::move(compute_graph)),
  82. subgraphs_(subgraphs),
  83. stream_num_(0),
  84. event_num_(0),
  85. label_num_(0),
  86. stream_max_parallel_num_(stream_max_parallel_num),
  87. hcom_parallel_(hcom_parallel),
  88. build_mode_(mode),
  89. max_mem_offset_(0),
  90. p2p_mem_offset_(0),
  91. zero_copy_mem_size_(0),
  92. platform_type_(0),
  93. is_loop_graph_(false),
  94. is_l1_fusion_enable_(false) {}
  95. ModelBuilder::~ModelBuilder() {}
  96. Status ModelBuilder::CalcOutputSize(const ge::NodePtr &n) {
  97. GE_CHECK_NOTNULL(n);
  98. auto node_op_desc = n->GetOpDesc();
  99. GE_CHECK_NOTNULL(node_op_desc);
  100. uint32_t index = 0;
  101. for (const auto &output_desc_ptr : node_op_desc->GetAllOutputsDescPtr()) {
  102. GeTensorDesc &desc_temp = *output_desc_ptr;
  103. uint32_t dim_num = static_cast<uint32_t>(desc_temp.GetShape().GetDimNum());
  104. GE_IF_BOOL_EXEC(dim_num > DIM_DEFAULT_SIZE, TensorUtils::SetRealDimCnt(desc_temp, dim_num));
  105. // calculate tensor size
  106. int64_t size_temp = 0;
  107. graphStatus graph_status = TensorUtils::GetTensorMemorySizeInBytes(desc_temp, size_temp);
  108. if (graph_status != GRAPH_SUCCESS) {
  109. REPORT_CALL_ERROR("E19999", "Get tensor size in bytes failed for op:%s(%s) index:%u",
  110. node_op_desc->GetName().c_str(), node_op_desc->GetType().c_str(), index);
  111. GELOGE(graph_status, "[Get][TensorMemorySize] In Bytes failed for op:%s(%s) index:%u",
  112. node_op_desc->GetName().c_str(), node_op_desc->GetType().c_str(), index);
  113. return FAILED;
  114. }
  115. TensorUtils::SetSize(desc_temp, size_temp);
  116. if (node_op_desc->UpdateOutputDesc(index, desc_temp) != SUCCESS) {
  117. REPORT_CALL_ERROR("E19999", "Update Output desc size failed for op:%s(%s) index:%u",
  118. node_op_desc->GetName().c_str(), node_op_desc->GetType().c_str(), index);
  119. GELOGE(FAILED, "[Update][OutputDesc] failed for op:%s(%s) index:%u",
  120. node_op_desc->GetName().c_str(), node_op_desc->GetType().c_str(), index);
  121. return FAILED;
  122. }
  123. GELOGD("update output desc, dim_size: %u, mem_size: %ld, format: %s, type: %s, node name:%s", dim_num, size_temp,
  124. TypeUtils::FormatToSerialString(desc_temp.GetFormat()).c_str(),
  125. TypeUtils::DataTypeToSerialString(desc_temp.GetDataType()).c_str(), node_op_desc->GetName().c_str());
  126. index++;
  127. }
  128. return SUCCESS;
  129. }
  130. bool ModelBuilder::SetInputConst(const OpDescPtr &op_desc, const NodePtr &src_node, size_t index,
  131. vector<bool> &is_input_const) {
  132. GELOGI("SetIsInputConst const: %s, source node: %s", op_desc->GetName().c_str(), src_node->GetName().c_str());
  133. for (size_t i = is_input_const.size(); i <= index; ++i) {
  134. is_input_const.push_back(false);
  135. }
  136. is_input_const[index] = true;
  137. vector<GeTensorPtr> weights = OpDescUtils::MutableWeights(src_node);
  138. if (weights.empty()) {
  139. GELOGW("SetInputIsConst weights is empty, node: %s", src_node->GetName().c_str());
  140. return false;
  141. }
  142. GeTensorPtr weight = weights[0];
  143. GE_IF_BOOL_EXEC(weight == nullptr, return true);
  144. GeTensorDesc &tensor_desc = weight->MutableTensorDesc();
  145. int64_t data_offset = 0;
  146. if (TensorUtils::GetDataOffset(tensor_desc, data_offset) != GRAPH_SUCCESS) {
  147. GELOGW("Get Offset from weight failed");
  148. return false;
  149. }
  150. auto input_tensor = op_desc->MutableInputDesc(static_cast<uint32_t>(index));
  151. if (input_tensor == nullptr) {
  152. GELOGW("Get input_tensor failed");
  153. return false;
  154. }
  155. TensorUtils::SetDataOffset(*input_tensor, data_offset);
  156. return true;
  157. }
  158. void ModelBuilder::SetInputIsConst(const ge::NodePtr &n) {
  159. auto node_op_desc = n->GetOpDesc();
  160. GE_CHECK_NOTNULL_JUST_RETURN(node_op_desc);
  161. auto is_input_const = node_op_desc->GetIsInputConst();
  162. // must set all true input_const to false
  163. for (size_t i = 0; i < is_input_const.size(); i++) {
  164. is_input_const[i] = false;
  165. }
  166. std::string const_type;
  167. auto in_data_anchors = n->GetAllInDataAnchors();
  168. for (size_t index = 0; index < in_data_anchors.size(); index++) {
  169. auto in_data_anchor = in_data_anchors.at(index);
  170. const auto &peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
  171. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  172. const auto &src_node = peer_out_anchor->GetOwnerNode();
  173. if (!NodeUtils::GetConstOpType(src_node, const_type)) {
  174. continue;
  175. }
  176. if (const_type == CONSTANT) {
  177. if (!SetInputConst(node_op_desc, src_node, index, is_input_const)) {
  178. return;
  179. }
  180. } else {
  181. if ((index < is_input_const.size()) && is_input_const[index]) {
  182. is_input_const[index] = false;
  183. }
  184. }
  185. }
  186. GELOGD("update opdesc:%s InputConst:%s", node_op_desc->GetName().c_str(), ToString(is_input_const).c_str());
  187. node_op_desc->SetIsInputConst(is_input_const);
  188. }
  189. Status ModelBuilder::AdjustConstWeightSize(const ge::NodePtr &node, size_t &mem_offset) {
  190. GE_CHECK_NOTNULL(node);
  191. if (node->GetType() == CONSTANT) {
  192. vector<GeTensorPtr> weights = OpDescUtils::MutableWeights(node);
  193. if (weights.empty()) {
  194. REPORT_INNER_ERROR("E19999", "Check weights size of node %s(%s) is empty",
  195. node->GetName().c_str(), node->GetType().c_str());
  196. GELOGE(FAILED, "[Check][Param] weights size of node %s is empty", node->GetName().c_str());
  197. return FAILED;
  198. }
  199. GeTensorPtr weight = weights[0];
  200. if (weight == nullptr) {
  201. REPORT_INNER_ERROR("E19999", "Check weight of node %s(%s) is nullptr",
  202. node->GetName().c_str(), node->GetType().c_str());
  203. GELOGE(FAILED, "[Check][Param] weights[0] is null, node:%s.", node->GetName().c_str());
  204. return FAILED;
  205. }
  206. GeTensorDesc &tensor_desc = weight->MutableTensorDesc();
  207. size_t output_size = weight->GetData().size();
  208. TensorUtils::SetDataOffset(tensor_desc, mem_offset);
  209. GELOGD("Node: %s, weight size: %zu.", node->GetName().c_str(), output_size);
  210. mem_offset += output_size;
  211. }
  212. return SUCCESS;
  213. }
  214. Status ModelBuilder::SetInputOutputDesc() {
  215. Status ret;
  216. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  217. auto node_op_desc = n->GetOpDesc();
  218. GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue);
  219. if (!is_loop_graph_ && node_op_desc->GetType() == LOOPCOND) {
  220. is_loop_graph_ = true;
  221. }
  222. // if user set input node format ND, the expected node for data and netoutput format is ND in
  223. // final graph.
  224. if ((compute_graph_->GetParentGraph() == nullptr) && (GetLocalOmgContext().format == domi::DOMI_TENSOR_ND) &&
  225. (!node_op_desc->HasAttr("_is_single_op")) &&
  226. ((node_op_desc->GetType() == DATA_TYPE) || (node_op_desc->GetType() == NETOUTPUT))) {
  227. auto inputDescsPtr = node_op_desc->GetAllInputsDescPtr();
  228. auto outputDescsPtr = node_op_desc->GetAllOutputsDescPtr();
  229. ge::Format format = ge::FORMAT_ND;
  230. for (auto &inputDescPtr : inputDescsPtr) {
  231. GE_CHECK_NOTNULL(inputDescPtr);
  232. inputDescPtr->SetFormat(format);
  233. inputDescPtr->SetOriginFormat(format);
  234. }
  235. for (auto &outputDescPtr : outputDescsPtr) {
  236. GE_CHECK_NOTNULL(outputDescPtr);
  237. outputDescPtr->SetFormat(format);
  238. outputDescPtr->SetOriginFormat(format);
  239. }
  240. }
  241. if (node_op_desc->GetType() == DATA_TYPE || node_op_desc->GetType() == AIPP_DATA_TYPE) {
  242. GELOGD("Data node: %s.", n->GetName().c_str());
  243. continue;
  244. }
  245. GE_IF_BOOL_EXEC(n->GetInAllNodes().empty() && n->GetOutAllNodes().empty(), continue;);
  246. SetInputIsConst(n);
  247. bool is_unknow = false;
  248. (void)NodeUtils::GetNodeUnknownShapeStatus(*n, is_unknow);
  249. if ((IsGeLocalOp(n->GetOpDesc())) && (!is_unknow)) {
  250. GE_CHK_STATUS_RET(CalcOutputSize(n), "[Calc][OutputSize] failed, node:%s", n->GetName().c_str());
  251. }
  252. ret = AdjustConstWeightSize(n, weight_offset_);
  253. GE_CHK_STATUS_RET(ret, "[Adjust][ConstWeightSize] failed, node:%s", n->GetName().c_str());
  254. GE_IF_BOOL_EXEC(((weight_offset_ > 0) && (weight_offset_ % MEM_ALIGN_SIZE != 0)),
  255. weight_offset_ = (weight_offset_ + MEM_ALIGN_SIZE - 1) / MEM_ALIGN_SIZE * MEM_ALIGN_SIZE);
  256. }
  257. GE_CHK_STATUS_RET(compute_graph_->TopologicalSorting(), "[Call][TopologicalSorting] failed, graph:%s",
  258. compute_graph_->GetName().c_str());
  259. return SUCCESS;
  260. }
  261. void ModelBuilder::AddNodeInputProperty() {
  262. for (const ge::NodePtr &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  263. auto node_op_desc = node->GetOpDesc();
  264. GE_IF_BOOL_EXEC(node_op_desc == nullptr, GELOGW("node_op_desc is nullptr!"); return);
  265. vector<string> src_name_list;
  266. vector<int64_t> src_index_list;
  267. for (const auto &in_data_anchor : node->GetAllInDataAnchors()) {
  268. auto peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
  269. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  270. GE_IF_BOOL_EXEC(node_op_desc->HasAttr(MERGE_PRENODE_FLAG), continue);
  271. ge::NodePtr src_node = peer_out_anchor->GetOwnerNode();
  272. src_name_list.emplace_back(src_node->GetName());
  273. src_index_list.emplace_back(peer_out_anchor->GetIdx());
  274. }
  275. auto in_control_anchor = node->GetInControlAnchor();
  276. if (in_control_anchor != nullptr) {
  277. string src_name_temp;
  278. for (const auto &out_control_anchor : in_control_anchor->GetPeerOutControlAnchors()) {
  279. ge::NodePtr src_node = out_control_anchor->GetOwnerNode();
  280. src_name_temp = src_name_temp.empty() ? src_node->GetName() : src_name_temp + ":" + src_node->GetName();
  281. }
  282. GE_IF_BOOL_EXEC(!src_name_temp.empty(), src_name_list.emplace_back(src_name_temp);)
  283. }
  284. node_op_desc->SetSrcName(src_name_list);
  285. node_op_desc->SetSrcIndex(src_index_list);
  286. }
  287. for (const ge::NodePtr &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  288. auto node_op_desc = node->GetOpDesc();
  289. GE_IF_BOOL_EXEC(node_op_desc == nullptr, GELOGW("node_op_desc is nullptr!"); return);
  290. GE_IF_BOOL_EXEC(node_op_desc->GetType() == NETOUTPUT, continue);
  291. auto out_control_anchor = node->GetOutControlAnchor();
  292. GE_IF_BOOL_EXEC(out_control_anchor == nullptr, GELOGW("out_control_anchor is nullptr"); return);
  293. vector<string> dst_name_list;
  294. vector<int64_t> dst_index_list;
  295. string dst_name_temp;
  296. for (const auto &in_control_anchor : out_control_anchor->GetPeerInControlAnchors()) {
  297. ge::NodePtr dst_node = in_control_anchor->GetOwnerNode();
  298. dst_name_temp = dst_name_temp.empty() ? dst_node->GetName() : dst_name_temp + ":" + dst_node->GetName();
  299. }
  300. GE_IF_BOOL_EXEC(!dst_name_temp.empty(), dst_name_list.emplace_back(dst_name_temp));
  301. GE_IF_BOOL_EXEC(!out_control_anchor->GetPeerInControlAnchors().empty(),
  302. dst_index_list.emplace_back(kInvalidIndexNum));
  303. for (const auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  304. GE_IF_BOOL_EXEC(node_op_desc->HasAttr(MERGE_PRENODE_FLAG), break);
  305. dst_name_temp = "";
  306. int64_t dst_index = kWrongIndex; // assign an impossible value to dst_index.
  307. for (const auto &in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) {
  308. GE_IF_BOOL_EXEC(in_data_anchor == nullptr, GELOGW("in_data_anchor is nullptr"); return);
  309. ge::NodePtr dst_node = in_data_anchor->GetOwnerNode();
  310. dst_name_temp = dst_name_temp.empty() ? dst_node->GetName() : dst_name_temp + ":" + dst_node->GetName();
  311. dst_index = in_data_anchor->GetIdx();
  312. }
  313. GE_IF_BOOL_EXEC(dst_index != kWrongIndex, dst_index_list.emplace_back(dst_index)); // not found
  314. GE_IF_BOOL_EXEC(!dst_name_temp.empty(), dst_name_list.emplace_back(dst_name_temp));
  315. }
  316. node_op_desc->SetDstName(dst_name_list);
  317. node_op_desc->SetDstIndex(dst_index_list);
  318. }
  319. }
  320. Status ModelBuilder::AdjustInputTensorFlag() {
  321. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  322. if ((n->GetType() == DATA_TYPE) || (n->GetType() == AIPP_DATA_TYPE)) {
  323. GELOGD("Data node: %s.", n->GetName().c_str());
  324. for (const auto &anchor : n->GetAllOutDataAnchors()) {
  325. for (const auto &in_anchors : anchor->GetPeerInDataAnchors()) {
  326. GE_IF_BOOL_EXEC(in_anchors == nullptr, continue);
  327. auto owner_node = in_anchors->GetOwnerNode();
  328. auto owner_node_op_desc = owner_node->GetOpDesc();
  329. GE_IF_BOOL_EXEC(owner_node_op_desc == nullptr, continue);
  330. auto input_desc = owner_node_op_desc->GetInputDesc(in_anchors->GetIdx());
  331. ge::TensorUtils::SetInputTensor(input_desc, true);
  332. if (owner_node_op_desc->UpdateInputDesc(in_anchors->GetIdx(), input_desc) != SUCCESS) {
  333. REPORT_CALL_ERROR("E19999", "Update Input desc size failed for op:%s(%s) index:%u",
  334. owner_node_op_desc->GetName().c_str(), owner_node_op_desc->GetType().c_str(),
  335. in_anchors->GetIdx());
  336. GELOGE(FAILED, "[Update][InputDesc] failed for op:%s(%s) index:%u",
  337. owner_node_op_desc->GetName().c_str(), owner_node_op_desc->GetType().c_str(), in_anchors->GetIdx());
  338. return FAILED;
  339. }
  340. }
  341. }
  342. }
  343. }
  344. return SUCCESS;
  345. }
  346. void ModelBuilder::InitL1FusionOption() {
  347. string buffer_optimize = "off_optimize";
  348. graphStatus ret = ge::GetContext().GetOption(BUFFER_OPTIMIZE, buffer_optimize);
  349. if (ret == GRAPH_SUCCESS) {
  350. bool off_superkernel = false;
  351. (void)AttrUtils::GetBool(compute_graph_, ATTR_NAME_OFF_SUPERKERNEL_ATTR, off_superkernel);
  352. is_l1_fusion_enable_ = ((buffer_optimize == "l1_optimize") && (!off_superkernel));
  353. GELOGI("Compute graph %s the value of %s is %s, superkernel flag %d.", compute_graph_->GetName().c_str(),
  354. BUFFER_OPTIMIZE.c_str(), buffer_optimize.c_str(), is_l1_fusion_enable_);
  355. } else {
  356. GELOGW("The value of %s is empty.", kEnableL1Fusion.c_str());
  357. }
  358. }
  359. Status ModelBuilder::BuildModelDef(ge::Model &model) {
  360. ClearOriginalFormat();
  361. max_mem_offset_ = mem_type_to_mem_offset_[RT_MEMORY_HBM];
  362. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_MEMORY_SIZE, max_mem_offset_),
  363. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_MEMORY_SIZE.c_str());
  364. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_MEMORY_SIZE.c_str());
  365. return FAILED);
  366. auto mem_type_session_scope = (kSessionScopeMemory | RT_MEMORY_HBM);
  367. size_t session_scope_mem_offset = 0;
  368. auto it = mem_type_to_mem_offset_.find(mem_type_session_scope);
  369. if (it != mem_type_to_mem_offset_.end()) {
  370. session_scope_mem_offset = it->second;
  371. }
  372. if (mem_type_to_mem_offset_.find(RT_MEMORY_P2P_DDR) != mem_type_to_mem_offset_.end()) {
  373. p2p_mem_offset_ = mem_type_to_mem_offset_[RT_MEMORY_P2P_DDR];
  374. }
  375. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_SESSION_SCOPE_MEMORY_SIZE, session_scope_mem_offset),
  376. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed",
  377. ATTR_MODEL_SESSION_SCOPE_MEMORY_SIZE.c_str());
  378. GELOGE(FAILED, "SetInt of ATTR_NAME_SESSION_SCOPE_MEMORY_SIZE failed.");
  379. return FAILED);
  380. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_P2P_MEMORY_SIZE, p2p_mem_offset_),
  381. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_P2P_MEMORY_SIZE.c_str());
  382. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_P2P_MEMORY_SIZE.c_str());
  383. return FAILED);
  384. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_WEIGHT_SIZE, weight_offset_),
  385. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_WEIGHT_SIZE.c_str());
  386. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_WEIGHT_SIZE.c_str());
  387. return FAILED);
  388. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_STREAM_NUM, stream_num_),
  389. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_STREAM_NUM.c_str());
  390. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_STREAM_NUM.c_str());
  391. return FAILED);
  392. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_EVENT_NUM, event_num_),
  393. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_EVENT_NUM.c_str());
  394. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_EVENT_NUM.c_str());
  395. return FAILED);
  396. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(&model, ATTR_MODEL_HUGE_STREAM_LIST, huge_streams_),
  397. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_HUGE_STREAM_LIST.c_str());
  398. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_HUGE_STREAM_LIST.c_str());
  399. return FAILED);
  400. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_LABEL_NUM, label_num_),
  401. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_LABEL_NUM.c_str());
  402. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_LABEL_NUM.c_str());
  403. return FAILED);
  404. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_ZERO_COPY_MEMORY_SIZE, zero_copy_mem_size_),
  405. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed",
  406. ATTR_MODEL_ZERO_COPY_MEMORY_SIZE.c_str());
  407. GELOGE(FAILED, "[Set][Attr] %s in model failed.", ATTR_MODEL_ZERO_COPY_MEMORY_SIZE.c_str());
  408. return FAILED);
  409. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListStr(&model, ATTR_MODEL_OUT_NODES_NAME, GetLocalOmgContext().net_out_nodes),
  410. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_OUT_NODES_NAME.c_str());
  411. GELOGE(FAILED, "[Set][Str] %s in model failed.", ATTR_MODEL_OUT_NODES_NAME.c_str());
  412. return FAILED);
  413. GELOGI("For model, max_mem_offset: %zu, p2p_mem_size: %zu, zero_copy_mem_size: %zu, session_scope_mem_size: %zu",
  414. max_mem_offset_, p2p_mem_offset_, zero_copy_mem_size_, session_scope_mem_offset);
  415. string fp_ceiling_mode;
  416. if (ge::GetContext().GetOption("ge.fpCeilingMode", fp_ceiling_mode) == SUCCESS) {
  417. if (!ge::AttrUtils::SetStr(&model, ATTR_FP_CEILING_MODE, fp_ceiling_mode)) {
  418. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_FP_CEILING_MODE.c_str());
  419. GELOGE(FAILED, "[Set][Str] %s in model failed", ATTR_FP_CEILING_MODE.c_str());
  420. return FAILED;
  421. }
  422. GELOGI("Set attr ATTR_FP_CEILING_MODE to model, value is %s.", fp_ceiling_mode.c_str());
  423. }
  424. string ge_core_type;
  425. Status ret = ge::GetContext().GetOption(kCoreType, ge_core_type);
  426. if (ret != SUCCESS) {
  427. GELOGW("get the option CORE_TYPE fail, set it to default value VECTOR_ENGINE");
  428. }
  429. int64_t core_type = (ge_core_type == kVectorCore) ? 1 : 0;
  430. GELOGI("core_type: %ld", core_type);
  431. if (!ge::AttrUtils::SetInt(&model, ATTR_MODEL_CORE_TYPE, core_type)) {
  432. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_MODEL_CORE_TYPE.c_str());
  433. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_MODEL_CORE_TYPE.c_str());
  434. }
  435. InitL1FusionOption();
  436. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetBool(&model, ATTR_NAME_SWITCH_FOR_L1_FUSION, is_l1_fusion_enable_),
  437. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_NAME_SWITCH_FOR_L1_FUSION.c_str());
  438. GELOGE(FAILED, "[Set][Attr] %s in model failed.", ATTR_NAME_SWITCH_FOR_L1_FUSION.c_str());
  439. return FAILED);
  440. const DumpProperties &dump_properties = DumpManager::GetInstance().GetDumpProperties(session_id_);
  441. bool is_op_debug = dump_properties.IsOpDebugOpen();
  442. if (is_op_debug) {
  443. if (!ge::AttrUtils::SetBool(&model, ATTR_OP_DEBUG_FLAG, is_op_debug)) {
  444. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_OP_DEBUG_FLAG.c_str());
  445. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_OP_DEBUG_FLAG.c_str());
  446. return FAILED;
  447. }
  448. uint32_t op_debug_mode = dump_properties.GetOpDebugMode();
  449. GELOGI("Get op debug mode:%d", op_debug_mode);
  450. if (!ge::AttrUtils::SetInt(&model, ATTR_OP_DEBUG_MODE, op_debug_mode)) {
  451. REPORT_INNER_ERROR("E19999", "Set Attr:%s in model failed", ATTR_OP_DEBUG_MODE.c_str());
  452. GELOGE(FAILED, "[Set][Attr] %s in model failed", ATTR_OP_DEBUG_MODE.c_str());
  453. return FAILED;
  454. }
  455. }
  456. model.SetName(compute_graph_->GetName());
  457. model.SetGraph(ge::GraphUtils::CreateGraphFromComputeGraph(compute_graph_));
  458. GELOGI("weight_offset_: %zu", weight_offset_);
  459. GELOGI("Set event num: %ld.", event_num_);
  460. if (Params::Instance() == nullptr) {
  461. return FAILED;
  462. }
  463. platform_type_ = Params::Instance()->GetTarget_8bit();
  464. return SUCCESS;
  465. }
  466. void ModelBuilder::ClearOriginalFormat() {
  467. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  468. auto node_op_desc = n->GetOpDesc();
  469. if (node_op_desc != nullptr) {
  470. if (node_op_desc->HasAttr(ATTR_NAME_FORMAT)) {
  471. if (node_op_desc->DelAttr(ATTR_NAME_FORMAT) != SUCCESS) {
  472. GELOGW("DelAttr ATTR_NAME_FORMAT failed.");
  473. }
  474. }
  475. GE_IF_BOOL_EXEC(
  476. node_op_desc->HasAttr(ATTR_NAME_INFERRED_FORMAT),
  477. if (node_op_desc->DelAttr(ATTR_NAME_INFERRED_FORMAT) != SUCCESS) {
  478. GELOGW("DelAttr ATTR_NAME_INFERRED_FORMAT failed.");
  479. });
  480. GE_IF_BOOL_EXEC(
  481. node_op_desc->HasAttr(ATTR_NAME_PRED_PERMUTE_DELETED),
  482. if (node_op_desc->DelAttr(ATTR_NAME_PRED_PERMUTE_DELETED) != SUCCESS) {
  483. GELOGW("DelAttr ATTR_NAME_PRED_PERMUTE_DELETED failed.");
  484. });
  485. GE_IF_BOOL_EXEC(
  486. node_op_desc->HasAttr(ATTR_NAME_IGNORE_PRED_FORMAT),
  487. if (node_op_desc->DelAttr(ATTR_NAME_IGNORE_PRED_FORMAT) != SUCCESS) {
  488. GELOGW("DelAttr ATTR_NAME_IGNORE_PRED_FORMAT failed.");
  489. });
  490. }
  491. }
  492. }
  493. Status ModelBuilder::MergeWeights() {
  494. if (weight_offset_ == 0) {
  495. return SUCCESS;
  496. }
  497. ge::Buffer buffer(weight_offset_);
  498. weight_buffer_ = buffer;
  499. auto base_addr = weight_buffer_.GetData();
  500. for (const ge::NodePtr &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  501. auto op_desc = node->GetOpDesc();
  502. GE_IF_BOOL_EXEC(op_desc == nullptr, continue);
  503. if (node->GetType() != CONSTANT) {
  504. continue;
  505. }
  506. // Get const op weight pointer
  507. ge::GeTensorPtr weight = nullptr;
  508. // If MutableTensor failed, weight is nullptr.
  509. (void)ge::AttrUtils::MutableTensor(op_desc, ATTR_NAME_WEIGHTS, weight);
  510. if (weight == nullptr) {
  511. REPORT_INNER_ERROR("E19999", "Can't get const weight in op:%s(%s)",
  512. op_desc->GetName().c_str(), op_desc->GetType().c_str());
  513. GELOGE(FAILED, "[Call][MutableTensor] Can't get const op weight, name:%s", node->GetName().c_str());
  514. return FAILED;
  515. }
  516. // Get const op weight offset
  517. int64_t offset = 0;
  518. if (ge::TensorUtils::GetDataOffset(weight->GetTensorDesc(), offset) != SUCCESS) {
  519. GELOGW("Can't get const op offset, name: %s", node->GetName().c_str());
  520. continue; // continue to merge if can not get offset
  521. }
  522. // Get const op weight data
  523. auto weight_data = weight->MutableData();
  524. // copy const op weight data to buffer
  525. GELOGI("Move to buffer, name: %s offset: %ld size: %zu", node->GetName().c_str(), offset, weight_data.size());
  526. ge::TensorUtils::SetWeightSize(weight->MutableTensorDesc(), static_cast<uint32_t>(weight_data.size()));
  527. if ((offset == 0) || (weight_data.size() == 0)) {
  528. GELOGI("Size or offset is 0. size: %lu offset: %ld", weight_data.size(), offset);
  529. continue;
  530. }
  531. if (weight_data.data() != nullptr) {
  532. GE_IF_BOOL_EXEC(base_addr == nullptr,
  533. REPORT_INNER_ERROR("E19999", "Check weight in op:%s(%s) is nullptr",
  534. op_desc->GetName().c_str(), op_desc->GetType().c_str());
  535. GELOGE(FAILED, "[Check][Param] weight in op:%s(%s) is nullptr",
  536. op_desc->GetName().c_str(), op_desc->GetType().c_str());
  537. return FAILED);
  538. if (weight_offset_ - offset < weight_data.size()) {
  539. REPORT_INNER_ERROR("E19999", "left weight size not enough for op:%s(%s) left_size:%zu, weight_size:%zu",
  540. op_desc->GetName().c_str(), op_desc->GetType().c_str(),
  541. weight_offset_ - offset, weight_data.size());
  542. GELOGE(FAILED, "[Check][Param] left weight size not enough for op:%s(%s). left_size:%lu, weight_size:%lu",
  543. op_desc->GetName().c_str(), op_desc->GetType().c_str(), weight_offset_ - offset, weight_data.size());
  544. return FAILED;
  545. }
  546. uintptr_t dst_ptr = reinterpret_cast<uintptr_t>(base_addr) + offset;
  547. uintptr_t src_ptr = reinterpret_cast<uintptr_t>(weight_data.data());
  548. size_t left_size = weight_data.size();
  549. while (left_size > SECUREC_MEM_MAX_LEN) {
  550. auto err = memcpy_s(reinterpret_cast<void *>(dst_ptr), SECUREC_MEM_MAX_LEN, reinterpret_cast<void *>(src_ptr),
  551. SECUREC_MEM_MAX_LEN);
  552. if (err != EOK) {
  553. REPORT_CALL_ERROR("E19999", "mem copy failed. errret:%u, "
  554. "dst_ptr:%lx, dst_size:%lu, src_ptr:%lx, src_size:%lu,",
  555. err, dst_ptr, SECUREC_MEM_MAX_LEN, src_ptr, SECUREC_MEM_MAX_LEN);
  556. GELOGE(FAILED, "mem copy failed. errret:%u, "
  557. "dst_ptr:%lx, dst_size:%lu, src_ptr:%lx, src_size:%lu",
  558. err, dst_ptr, SECUREC_MEM_MAX_LEN, src_ptr, SECUREC_MEM_MAX_LEN);
  559. return FAILED;
  560. }
  561. left_size -= SECUREC_MEM_MAX_LEN;
  562. dst_ptr = dst_ptr + SECUREC_MEM_MAX_LEN;
  563. src_ptr = src_ptr + SECUREC_MEM_MAX_LEN;
  564. }
  565. auto err = memcpy_s(reinterpret_cast<void *>(dst_ptr), left_size, reinterpret_cast<void *>(src_ptr), left_size);
  566. if (err != EOK) {
  567. REPORT_CALL_ERROR("E19999", "mem copy failed. errret:%u, "
  568. "dst_ptr:%lx, dst_size:%lu, src_ptr:%lx, src_size:%lu,",
  569. err, dst_ptr, SECUREC_MEM_MAX_LEN, src_ptr, SECUREC_MEM_MAX_LEN);
  570. GELOGE(FAILED, "[Update][Data] mem copy failed. errret:%u, "
  571. "dst_ptr:%lx, dst_size:%lu, src_ptr:%lx, src_size:%lu",
  572. err, dst_ptr, SECUREC_MEM_MAX_LEN, src_ptr, SECUREC_MEM_MAX_LEN);
  573. return FAILED;
  574. }
  575. }
  576. weight->ClearData();
  577. }
  578. return SUCCESS;
  579. }
  580. Status ModelBuilder::SaveAtomicTBEKernel(const OpDescPtr &op_desc) {
  581. ge::NodePtr atomic_clean_node = nullptr;
  582. atomic_clean_node = op_desc->TryGetExtAttr("atomic_clean_node_ptr", atomic_clean_node);
  583. if (atomic_clean_node == nullptr) {
  584. return SUCCESS;
  585. }
  586. ge::OpDescPtr atomic_op_desc = atomic_clean_node->GetOpDesc();
  587. GE_CHECK_NOTNULL(atomic_op_desc);
  588. TBEKernelPtr tbe_kernel = atomic_op_desc->TryGetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, TBEKernelPtr());
  589. if (tbe_kernel == nullptr) {
  590. std::string kernel_name;
  591. GeAttrValue::BYTES kernel_buffer;
  592. (void) AttrUtils::GetStr(atomic_op_desc, ATTR_NAME_TBE_KERNEL_NAME, kernel_name);
  593. (void) AttrUtils::GetBytes(atomic_op_desc, ATTR_NAME_TBE_KERNEL_BUFFER, kernel_buffer);
  594. if (!kernel_name.empty() && (kernel_buffer.GetSize() > 0)) {
  595. GE_CHECK_NOTNULL(kernel_buffer.GetData());
  596. std::vector<char> data(kernel_buffer.GetData(), kernel_buffer.GetData() + kernel_buffer.GetSize());
  597. tbe_kernel = MakeShared<OpKernelBin>(kernel_name, std::move(data));
  598. GE_CHECK_NOTNULL(tbe_kernel);
  599. GELOGI("Node [%s][%s] start recovery extra attr %s from %s", atomic_op_desc->GetName().c_str(),
  600. atomic_op_desc->GetType().c_str(), ge::OP_EXTATTR_NAME_TBE_KERNEL, ATTR_NAME_TBE_KERNEL_NAME.c_str());
  601. if (!(atomic_op_desc->SetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel))) {
  602. std::string error = "Node" + FmtToStr(atomic_op_desc->GetName()) + "set extra tbeKernel attr failed";
  603. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  604. return ge::FAILED;
  605. }
  606. }
  607. }
  608. if (tbe_kernel == nullptr) {
  609. GELOGD("Atomic_clean_node doesn't have tbe_kernel.");
  610. return SUCCESS;
  611. }
  612. tbe_kernel_store_.AddTBEKernel(tbe_kernel);
  613. GELOGD("Atomic_clean_node tbe_kernel_name %s!", tbe_kernel->GetName().c_str());
  614. (void) AttrUtils::SetStr(op_desc, ATOMIC_ATTR_TBE_KERNEL_NAME, tbe_kernel->GetName());
  615. std::string kernel_name;
  616. (void) AttrUtils::GetStr(atomic_op_desc, atomic_op_desc->GetName() + "_kernelname", kernel_name);
  617. (void) AttrUtils::SetStr(op_desc, op_desc->GetName() + "_atomic_kernelname", kernel_name);
  618. std::string meta_data;
  619. (void) AttrUtils::GetStr(atomic_op_desc, TVM_ATTR_NAME_METADATA, meta_data);
  620. (void) AttrUtils::SetStr(op_desc, ATOMIC_ATTR_TVM_METADATA, meta_data);
  621. std::string json_string;
  622. (void) AttrUtils::GetStr(atomic_op_desc, TVM_ATTR_NAME_MAGIC, json_string);
  623. (void) AttrUtils::SetStr(op_desc, ATOMIC_ATTR_TVM_MAGIC, json_string);
  624. return SUCCESS;
  625. }
  626. Status ModelBuilder::SaveDataToModel(ge::Model &model, ge::GeModel &ge_model) {
  627. // Add weight
  628. ge_model.SetWeight(weight_buffer_);
  629. // Add TBE Kernels and custom aicpu op bin
  630. std::set<std::string> tbe_name_set;
  631. std::set<std::string> aicpu_name_set;
  632. std::set<std::string> aicpu_op_types;
  633. std::set<std::string> aicpu_tf_op_types;
  634. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  635. auto node_op_desc = n->GetOpDesc();
  636. GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue);
  637. // check aicpu op type
  638. CollectCheckAicpuAttr(node_op_desc, aicpu_op_types, aicpu_tf_op_types);
  639. TBEKernelPtr tbe_kernel = node_op_desc->TryGetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, TBEKernelPtr());
  640. if (tbe_kernel == nullptr) {
  641. std::string kernel_name;
  642. GeAttrValue::BYTES kernel_buffer;
  643. (void) AttrUtils::GetStr(node_op_desc, ATTR_NAME_TBE_KERNEL_NAME, kernel_name);
  644. (void) AttrUtils::GetBytes(node_op_desc, ATTR_NAME_TBE_KERNEL_BUFFER, kernel_buffer);
  645. if (!kernel_name.empty() && (kernel_buffer.GetSize() > 0)) {
  646. GE_CHECK_NOTNULL(kernel_buffer.GetData());
  647. std::vector<char> data(kernel_buffer.GetData(), kernel_buffer.GetData() + kernel_buffer.GetSize());
  648. tbe_kernel = MakeShared<OpKernelBin>(kernel_name, std::move(data));
  649. GE_CHECK_NOTNULL(tbe_kernel);
  650. GELOGI("Node [%s][%s] start recovery extra attr %s from %s", node_op_desc->GetName().c_str(),
  651. node_op_desc->GetType().c_str(), ge::OP_EXTATTR_NAME_TBE_KERNEL, ATTR_NAME_TBE_KERNEL_NAME.c_str());
  652. if (!(node_op_desc->SetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, tbe_kernel))) {
  653. std::string error = "Node" + FmtToStr(node_op_desc->GetName()) + "set extra tbeKernel attr failed";
  654. GE_ERRORLOG_AND_ERRORMSG(ge::FAILED, error.c_str());
  655. return ge::FAILED;
  656. }
  657. }
  658. }
  659. GE_IF_BOOL_EXEC(tbe_kernel == nullptr, continue);
  660. if (tbe_name_set.count(tbe_kernel->GetName()) > 0) {
  661. REPORT_INNER_ERROR("E19999", "tbe_kernel name %s can't be the same, judge for op:%s(%s)",
  662. tbe_kernel->GetName().c_str(), n->GetName().c_str(), n->GetType().c_str());
  663. GELOGE(FAILED, "[Check][Param] tbe_kernel name %s can't be the same, judge for op:%s(%s)",
  664. tbe_kernel->GetName().c_str(), n->GetName().c_str(), n->GetType().c_str());
  665. return FAILED;
  666. }
  667. tbe_name_set.insert(tbe_kernel->GetName());
  668. tbe_kernel_store_.AddTBEKernel(tbe_kernel);
  669. GE_CHK_STATUS_RET(SaveAtomicTBEKernel(node_op_desc), "[Save][TBEKernel] save atomic tbekernel failed!");
  670. }
  671. SetModelCheckAicpuAttr(model, aicpu_op_types, aicpu_tf_op_types);
  672. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  673. auto node_op_desc = n->GetOpDesc();
  674. GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue);
  675. CustAICPUKernelPtr cust_aicpu_kernel =
  676. node_op_desc->TryGetExtAttr(ge::OP_EXTATTR_CUSTAICPU_KERNEL, CustAICPUKernelPtr());
  677. GE_IF_BOOL_EXEC(cust_aicpu_kernel == nullptr, continue);
  678. if (aicpu_name_set.count(cust_aicpu_kernel->GetName()) > 0) {
  679. REPORT_INNER_ERROR("E19999", "aicpu_kernel name %s can't be the same, judge for op:%s(%s)",
  680. cust_aicpu_kernel->GetName().c_str(), n->GetName().c_str(), n->GetType().c_str());
  681. GELOGE(FAILED, "[Check][Param] aicpu_kernel name %s can't be the same, judge for op:%s(%s)",
  682. cust_aicpu_kernel->GetName().c_str(), n->GetName().c_str(), n->GetType().c_str());
  683. return FAILED;
  684. }
  685. aicpu_name_set.insert(cust_aicpu_kernel->GetName());
  686. cust_aicpu_kernel_store_.AddCustAICPUKernel(cust_aicpu_kernel);
  687. GELOGI("Add cust aicpu kernel bin %s", cust_aicpu_kernel->GetName().c_str());
  688. }
  689. if (!tbe_kernel_store_.Build()) {
  690. GELOGE(FAILED, "[Call][Build] TBE Kernels store build failed!");
  691. return FAILED;
  692. }
  693. if (!cust_aicpu_kernel_store_.Build()) {
  694. GELOGE(FAILED, "[Call][Build] custom AICPU kernels store build failed!");
  695. return FAILED;
  696. }
  697. ge_model.SetTBEKernelStore(tbe_kernel_store_);
  698. ge_model.SetCustAICPUKernelStore(cust_aicpu_kernel_store_);
  699. // Add task
  700. GeAttrValue::BYTES task_def_bytes;
  701. if (!AttrUtils::GetZeroCopyBytes(model, MODEL_ATTR_TASKS, task_def_bytes)) {
  702. REPORT_CALL_ERROR("E19999", "Get attr:%s in model failed", MODEL_ATTR_TASKS.c_str());
  703. GELOGE(INTERNAL_ERROR, "[Get][Attr] %s in model failed", MODEL_ATTR_TASKS.c_str());
  704. return INTERNAL_ERROR;
  705. }
  706. int byte_size = static_cast<int>(task_def_bytes.GetSize());
  707. std::shared_ptr<domi::ModelTaskDef> task = ge::MakeShared<domi::ModelTaskDef>();
  708. GE_CHECK_NOTNULL(task);
  709. GE_CHK_BOOL_EXEC(ReadProtoFromArray(task_def_bytes.GetData(), byte_size, task.get()), return INTERNAL_ERROR,
  710. "[Read][Proto] From Array failed.");
  711. ge_model.SetModelTaskDef(task);
  712. // Add graph
  713. ge_model.SetName(model.GetName());
  714. ge_model.SetGraph(model.GetGraph());
  715. ge_model.SetVersion(model.GetVersion());
  716. ge_model.SetPlatformVersion(model.GetPlatformVersion());
  717. ge_model.SetPlatformType(platform_type_);
  718. ge_model.SetAttr(model.MutableAttrMap());
  719. return SUCCESS;
  720. }
  721. void ModelBuilder::SetModelVersion(ge::Model &model) {
  722. // set framework_version TO model
  723. string framework_version;
  724. uint32_t counter = 0;
  725. Status frame_rt = PlatformVersionManager::GetPlatformVersion(framework_version);
  726. GE_IF_BOOL_EXEC((frame_rt == SUCCESS),
  727. string model_framework_version = framework_version + "." + std::to_string(counter);
  728. model.SetPlatformVersion(model_framework_version););
  729. // set IR Version TO model
  730. model.SetVersion(static_cast<uint32_t>(OM_PROTO_VERSION));
  731. }
  732. Status ModelBuilder::PreBuildModel() {
  733. if ((compute_graph_ == nullptr) || !(compute_graph_->IsValid())) {
  734. REPORT_INNER_ERROR("E19999", "Check compute_graph no valid");
  735. GELOGE(FAILED, "[Check][Param] Graph_ is not valid.");
  736. return FAILED;
  737. }
  738. GE_CHK_STATUS_RET(SetInputOutputDesc(),
  739. "[Set][InputOutputDesc] Failed! graph:%s", compute_graph_->GetName().c_str());
  740. AddNodeInputProperty();
  741. return SUCCESS;
  742. }
  743. Status ModelBuilder::BuildModelForGetTask(ge::Model &model) {
  744. GE_CHK_STATUS_RET(AdjustInputTensorFlag(), "[Adjust][InputTensorFlag] failed! graph:%s",
  745. compute_graph_->GetName().c_str());
  746. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kStreamAlloc);
  747. // Assign logical streams.
  748. StreamAllocator stream_allocator(compute_graph_, subgraphs_);
  749. GE_TIMESTAMP_START(AssignLogicalStreams);
  750. GE_CHK_STATUS_RET(stream_allocator.AssignLogicalStreams(stream_max_parallel_num_, hcom_parallel_),
  751. "[Assign][LogicalStreams] failed. graph:%s", compute_graph_->GetName().c_str());
  752. GE_TIMESTAMP_END(AssignLogicalStreams, "GraphBuilder::AssignLogicalStreams");
  753. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kMemoryAlloc);
  754. // Assign functional op labels.
  755. auto root_graph = GraphUtils::FindRootGraph(compute_graph_);
  756. (void)AttrUtils::GetInt(*root_graph, ATTR_MODEL_LABEL_NUM, label_num_);
  757. GE_TIMESTAMP_START(AssignMemory);
  758. MemoryAssigner mem_assigner(compute_graph_);
  759. GE_CHK_STATUS_RET(mem_assigner.AssignMemory(is_loop_graph_, mem_type_to_mem_offset_, zero_copy_mem_size_),
  760. "[Assign][Memory] Failed! graph:%s", compute_graph_->GetName().c_str());
  761. GE_TIMESTAMP_END(AssignMemory, "GraphBuilder::AssignMemory");
  762. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  763. GE_TIMESTAMP_START(SetInputOutputOffset);
  764. SetInputOutputOffsetPass input_output_offset;
  765. GE_CHK_STATUS_RET(input_output_offset.Run(compute_graph_),
  766. "[Set][InputOutputOffset] failed. graph:%s", compute_graph_->GetName().c_str());
  767. GE_TIMESTAMP_END(SetInputOutputOffset, "SetInputOutputOffsetPass::Run");
  768. // Compile single op in graph build stage
  769. GE_TIMESTAMP_START(CompileSingleOp);
  770. GE_CHK_STATUS_RET(CompileSingleOp(), "[Compile][SingleOp] fail. graph:%s", compute_graph_->GetName().c_str());
  771. GE_TIMESTAMP_EVENT_END(CompileSingleOp, "GraphBuilder::CompileSingleOp");
  772. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kStreamAlloc);
  773. // Refresh real streams and insert event nodes.
  774. GE_TIMESTAMP_START(RefreshRealStream);
  775. GE_CHK_STATUS_RET(stream_allocator.RefreshRealStream(stream_num_, event_num_),
  776. "[Refresh][RealStream] failed. graph:%s", compute_graph_->GetName().c_str());
  777. huge_streams_ = stream_allocator.GetHugeStreams();
  778. GE_TIMESTAMP_END(RefreshRealStream, "GraphBuilder::RefreshRealStream");
  779. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  780. GE_TIMESTAMP_START(MergeWeights);
  781. GE_CHK_STATUS_RET(MergeWeights(), "[Merge][Weights] Failed! graph:%s", compute_graph_->GetName().c_str());
  782. GE_TIMESTAMP_END(MergeWeights, "GraphBuilder::MergeWeights");
  783. GE_TIMESTAMP_START(BuildModelDef);
  784. GE_CHK_STATUS_RET(BuildModelDef(model), "[Build][ModelDef] failed! graph:%s", compute_graph_->GetName().c_str());
  785. GE_TIMESTAMP_END(BuildModelDef, "GraphBuilder::BuildModelDef");
  786. SetModelVersion(model);
  787. return SUCCESS;
  788. }
  789. Status ModelBuilder::BuildModelForGetDynShapeTask(ge::Model &model_def) {
  790. GE_TIMESTAMP_START(BuildModelDef);
  791. GE_CHK_STATUS_RET(BuildModelDef(model_def), "[Build][ModelDef] failed!");
  792. GE_TIMESTAMP_END(BuildModelDef, "GraphBuilder::BuildModelDef");
  793. SetModelVersion(model_def);
  794. return SUCCESS;
  795. }
  796. ge::Buffer ModelBuilder::GetWeightBuffer() const { return weight_buffer_; }
  797. Status ModelBuilder::CompileSingleOp() {
  798. GELOGD("Begin to compile single op.");
  799. // Create ge instance
  800. std::shared_ptr<GELib> instance = ge::GELib::GetInstance();
  801. if ((instance == nullptr) || !instance->InitFlag()) {
  802. REPORT_INNER_ERROR("E19999", "Check GELib instance not init before");
  803. GELOGE(ge::GE_CLI_GE_NOT_INITIALIZED, "[Check][Param] CompileSingleOp failed.");
  804. return ge::GE_CLI_GE_NOT_INITIALIZED;
  805. }
  806. GE_TIMESTAMP_CALLNUM_START(BatchCompileOp);
  807. std::unordered_map<string, vector<ge::NodePtr>> node_vector_map;
  808. for (auto &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  809. auto op_desc = node->GetOpDesc();
  810. if (op_desc == nullptr) {
  811. continue;
  812. }
  813. // Graph build stage only supports the individual compilation of atomic clean operator
  814. if (op_desc->GetType() == ATOMICADDRCLEAN) {
  815. GELOGD("Begin to compile single op, op name is %s.", op_desc->GetName().c_str());
  816. string kernel_lib_name = op_desc->GetOpKernelLibName();
  817. if (kernel_lib_name.empty()) {
  818. // Reset op kernel lib
  819. (void)instance->DNNEngineManagerObj().GetDNNEngineName(node);
  820. kernel_lib_name = op_desc->GetOpKernelLibName();
  821. if (kernel_lib_name.empty()) {
  822. REPORT_INNER_ERROR("E19999", "Check kernel lib name empty of op:%s(%s)",
  823. node->GetName().c_str(), node->GetType().c_str());
  824. GELOGE(ge::INTERNAL_ERROR, "[Get][Name] of node:%s(%s) kernel lib failed.", node->GetName().c_str(),
  825. node->GetType().c_str());
  826. return ge::INTERNAL_ERROR;
  827. }
  828. }
  829. OpsKernelInfoStorePtr kernel_info = instance->OpsKernelManagerObj().GetOpsKernelInfoStore(kernel_lib_name);
  830. if (kernel_info != nullptr) {
  831. node_vector_map[kernel_lib_name].emplace_back(node);
  832. } else {
  833. REPORT_INNER_ERROR("E19999", "Get ops kernel info store failed for op:%s(%s), op_kernel_name:%s,",
  834. node->GetName().c_str(), node->GetType().c_str(), kernel_lib_name.c_str());
  835. GELOGE(ge::GE_GRAPH_PARAM_NULLPTR, "[Get][OpsKernelInfoStore] for op %s failed", node->GetName().c_str());
  836. return ge::GE_GRAPH_PARAM_NULLPTR;
  837. }
  838. }
  839. }
  840. for (auto &it : node_vector_map) {
  841. auto &kernel_lib_name = it.first;
  842. auto &node_vector = it.second;
  843. OpsKernelInfoStorePtr kernel_info = instance->OpsKernelManagerObj().GetOpsKernelInfoStore(kernel_lib_name);
  844. GE_CHECK_NOTNULL(kernel_info);
  845. GE_TIMESTAMP_RESTART(BatchCompileOp);
  846. auto ret = kernel_info->CompileOp(node_vector);
  847. GELOGI("[GEPERFTRACE] The node size of compile op of %s is %zu", kernel_lib_name.c_str(), node_vector.size());
  848. GE_TIMESTAMP_ADD(BatchCompileOp);
  849. if (ret != ge::SUCCESS) {
  850. REPORT_CALL_ERROR("E19999", "Batch compile op failed, kernel lib name, node size:%zu,",
  851. node_vector.size());
  852. GELOGE(ret, "[Compile][Op] failed, kernel lib name is %s", kernel_lib_name.c_str());
  853. return ret;
  854. }
  855. }
  856. GE_TIMESTAMP_CALLNUM_END(BatchCompileOp, "GraphBuild::CompileOp");
  857. return ge::SUCCESS;
  858. }
  859. void ModelBuilder::CollectCheckAicpuAttr(const OpDescPtr &op_desc, std::set<std::string> &aicpu_op_types,
  860. std::set<std::string> &aicpu_tf_op_types) {
  861. std::string aicpu_optype;
  862. bool has_attr_check_cpu = ge::AttrUtils::GetStr(op_desc, "needCheckCpu", aicpu_optype);
  863. std::vector<std::string> tf_optypes;
  864. bool has_attr_check_tf = ge::AttrUtils::GetListStr(op_desc, "needCheckTf", tf_optypes);
  865. if (has_attr_check_cpu && !aicpu_optype.empty()) {
  866. aicpu_op_types.insert(aicpu_optype);
  867. }
  868. if (has_attr_check_tf && !tf_optypes.empty()) {
  869. aicpu_tf_op_types.insert(tf_optypes.begin(), tf_optypes.end());
  870. }
  871. return;
  872. }
  873. void ModelBuilder::SetModelCheckAicpuAttr(ge::Model &model, std::set<std::string> &aicpu_op_types,
  874. std::set<std::string> &aicpu_tf_op_types) {
  875. std::vector<std::string> aicpu_optype_list;
  876. std::vector<std::string> aicpu_tf_optype_list;
  877. if (ge::AttrUtils::GetListStr(&model, "needCheckCpu", aicpu_optype_list)) {
  878. GELOGI("Already have aicpu optype size: %zu", aicpu_optype_list.size());
  879. aicpu_op_types.insert(aicpu_optype_list.begin(), aicpu_optype_list.end());
  880. }
  881. if (ge::AttrUtils::GetListStr(&model, "needCheckTf", aicpu_tf_optype_list)) {
  882. GELOGI("Already have aicpu tf optype size: %zu", aicpu_tf_optype_list.size());
  883. aicpu_tf_op_types.insert(aicpu_tf_optype_list.begin(), aicpu_tf_optype_list.end());
  884. }
  885. // reset list with set
  886. aicpu_optype_list.assign(aicpu_op_types.begin(), aicpu_op_types.end());
  887. aicpu_tf_optype_list.assign(aicpu_tf_op_types.begin(), aicpu_tf_op_types.end());
  888. GELOGI(
  889. "Check Aicpu op types ComputeGraph: %s aicpu_op_types: %zu, aicpu_optype_list: %zu, aicpu_tf_op_types: %zu, "
  890. "aicpu_tf_optype_list:%zu.",
  891. compute_graph_->GetName().c_str(), aicpu_op_types.size(), aicpu_optype_list.size(), aicpu_tf_op_types.size(),
  892. aicpu_tf_optype_list.size());
  893. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListStr(&model, "needCheckCpu", aicpu_optype_list), return,
  894. "[Set][Attr] needCheckCpu fail.");
  895. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListStr(&model, "needCheckTf", aicpu_tf_optype_list), return,
  896. "[Set][Attr] needCheckTf fail.");
  897. return;
  898. }
  899. } // namespace ge

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