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model_builder.cc 34 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 "framework/common/debug/ge_log.h"
  23. #include "graph/anchor.h"
  24. #include "graph/attr_value.h"
  25. #include "graph/buffer.h"
  26. #include "graph/build/stream_allocator.h"
  27. #include "graph/common/omg_util.h"
  28. #include "graph/common/ge_call_wrapper.h"
  29. #include "graph/common/local_context.h"
  30. #include "graph/debug/ge_attr_define.h"
  31. #include "graph/ge_attr_value.h"
  32. #include "graph/ge_context.h"
  33. #include "graph/ge_error_codes.h"
  34. #include "graph/manager/graph_mem_allocator.h"
  35. #include "graph/manager/graph_var_manager.h"
  36. #include "graph/optimize/common/params.h"
  37. #include "graph/types.h"
  38. #include "graph/utils/attr_utils.h"
  39. #include "graph/utils/graph_utils.h"
  40. #include "graph/utils/node_utils.h"
  41. #include "graph/utils/op_desc_utils.h"
  42. #include "graph/utils/tensor_utils.h"
  43. #include "graph/utils/type_utils.h"
  44. #include "init/gelib.h"
  45. #include "memory/memory_assigner.h"
  46. #include "omg/version.h"
  47. #include "register/op_registry.h"
  48. #include "graph/passes/set_input_output_offset_pass.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 float kImgRatioYUV420SP_U8 = 1.5;
  57. const int kImgRatioRGB888_U8 = 3;
  58. const int kImgRatioNC1HWC0DI_FP16 = 12;
  59. const int kInvalidIndexNum = -1;
  60. const uint32_t kInputDimensions2D = 2;
  61. const uint32_t kInputDimensions3D = 3;
  62. const char *const kVectorCore = "VectorCore";
  63. const char *const kCoreType = "ge.engineType";
  64. const std::string kEnableL1Fusion = "ge.l1Fusion";
  65. const set<string> adjust_layer_type_ = {ge::CONVOLUTION};
  66. bool IsGeLocalOp(const ge::ConstOpDescPtr &op_desc) {
  67. auto type = op_desc->GetType();
  68. if (type == ge::CONSTANTOP) {
  69. // constant op just has one output
  70. ge::GeTensorDesc output_desc = op_desc->GetOutputDesc(0);
  71. return !(output_desc.GetDataType() == ge::DT_STRING);
  72. }
  73. const set<string> ge_local_set = {ge::STREAMMERGE, ge::MEMCPYASYNC, ge::STREAMACTIVE, ge::STREAMSWITCH,
  74. ge::VARIABLE, ge::NOOP, ge::CONSTANT, ge::ENTER,
  75. ge::REFENTER, ge::LOOPCOND, ge::NEXTITERATION, ge::REFNEXTITERATION,
  76. ge::EXIT, ge::REFEXIT, ge::MERGE, ge::MEMCPYADDRASYNC};
  77. return (ge_local_set.find(type) != ge_local_set.end());
  78. }
  79. } // namespace
  80. namespace ge {
  81. ModelBuilder::ModelBuilder(uint64_t session_id, ge::ComputeGraphPtr compute_graph,
  82. const Graph2SubGraphInfoList &subgraphs, const map<string, int> &stream_max_parallel_num,
  83. bool hcom_parallel, int mode)
  84. : session_id_(session_id),
  85. weight_offset_(kWeightsStartOffset),
  86. compute_graph_(std::move(compute_graph)),
  87. subgraphs_(subgraphs),
  88. stream_num_(0),
  89. event_num_(0),
  90. label_num_(0),
  91. stream_max_parallel_num_(stream_max_parallel_num),
  92. hcom_parallel_(hcom_parallel),
  93. build_mode_(mode),
  94. max_mem_offset_(0),
  95. p2p_mem_offset_(0),
  96. zero_copy_mem_size_(0),
  97. platform_type_(0),
  98. is_loop_graph_(false),
  99. is_l1_fusion_enable_(false) {}
  100. ModelBuilder::~ModelBuilder() {}
  101. Status ModelBuilder::CalcOutputSize(const ge::NodePtr &n) {
  102. GE_CHECK_NOTNULL(n);
  103. auto node_op_desc = n->GetOpDesc();
  104. GE_CHECK_NOTNULL(node_op_desc);
  105. uint32_t index = 0;
  106. for (const auto &output_desc_ptr : node_op_desc->GetAllOutputsDescPtr()) {
  107. GeTensorDesc &desc_temp = *output_desc_ptr;
  108. uint32_t dim_num = static_cast<uint32_t>(desc_temp.GetShape().GetDimNum());
  109. GE_IF_BOOL_EXEC(dim_num > DIM_DEFAULT_SIZE, TensorUtils::SetRealDimCnt(desc_temp, dim_num));
  110. // calculate tensor size
  111. int64_t size_temp = 0;
  112. graphStatus graph_status = TensorUtils::GetTensorMemorySizeInBytes(desc_temp, size_temp);
  113. if (graph_status != GRAPH_SUCCESS) {
  114. GELOGE(graph_status, "GetTensorMemorySizeInBytes failed!");
  115. return FAILED;
  116. }
  117. TensorUtils::SetSize(desc_temp, size_temp);
  118. if (node_op_desc->UpdateOutputDesc(index, desc_temp) != SUCCESS) {
  119. GELOGE(FAILED, "UpdateOutputDesc failed.");
  120. return FAILED;
  121. }
  122. GELOGD("update output desc, dim_size: %u, mem_size: %ld, format: %s, type: %s, node name:%s", dim_num, size_temp,
  123. TypeUtils::FormatToSerialString(desc_temp.GetFormat()).c_str(),
  124. TypeUtils::DataTypeToSerialString(desc_temp.GetDataType()).c_str(), node_op_desc->GetName().c_str());
  125. index++;
  126. }
  127. return SUCCESS;
  128. }
  129. bool ModelBuilder::SetInputConst(const OpDescPtr &op_desc, const NodePtr &src_node, size_t index,
  130. vector<bool> &is_input_const) {
  131. GELOGI("SetIsInputConst const: %s, source node: %s", op_desc->GetName().c_str(), src_node->GetName().c_str());
  132. for (size_t i = is_input_const.size(); i <= index; ++i) {
  133. is_input_const.push_back(false);
  134. }
  135. is_input_const[index] = true;
  136. vector<GeTensorPtr> weights = OpDescUtils::MutableWeights(src_node);
  137. if (weights.empty()) {
  138. GELOGW("SetInputIsConst weights is empty, node: %s", src_node->GetName().c_str());
  139. return false;
  140. }
  141. GeTensorPtr weight = weights[0];
  142. GE_IF_BOOL_EXEC(weight == nullptr, return true);
  143. GeTensorDesc &tensor_desc = weight->MutableTensorDesc();
  144. int64_t data_offset = 0;
  145. if (TensorUtils::GetDataOffset(tensor_desc, data_offset) != GRAPH_SUCCESS) {
  146. GELOGW("Get Offset from weight failed");
  147. return false;
  148. }
  149. auto input_tensor = op_desc->MutableInputDesc(static_cast<uint32_t>(index));
  150. if (input_tensor == nullptr) {
  151. GELOGW("Get input_tensor failed");
  152. return false;
  153. }
  154. TensorUtils::SetDataOffset(*input_tensor, data_offset);
  155. return true;
  156. }
  157. void ModelBuilder::SetInputIsConst(const ge::NodePtr &n) {
  158. auto node_op_desc = n->GetOpDesc();
  159. GE_CHECK_NOTNULL_JUST_RETURN(node_op_desc);
  160. auto is_input_const = node_op_desc->GetIsInputConst();
  161. // must set all true input_const to false
  162. for (size_t i = 0; i < is_input_const.size(); i++) {
  163. is_input_const[i] = false;
  164. }
  165. std::string const_type;
  166. auto in_data_anchors = n->GetAllInDataAnchors();
  167. for (size_t index = 0; index < in_data_anchors.size(); index++) {
  168. auto in_data_anchor = in_data_anchors.at(index);
  169. const auto &peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
  170. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, continue);
  171. const auto &src_node = peer_out_anchor->GetOwnerNode();
  172. if (!NodeUtils::GetConstOpType(src_node, const_type)) {
  173. GELOGI("Node %s:%zu, sorce node: %s Not Const", n->GetName().c_str(), index, src_node->GetName().c_str());
  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. std::string input_const_info = ToString(is_input_const);
  187. GELOGD("update opdesc:%s InputConst:%s", node_op_desc->GetName().c_str(), input_const_info.c_str());
  188. node_op_desc->SetIsInputConst(is_input_const);
  189. }
  190. Status ModelBuilder::AdjustConstWeightSize(const ge::NodePtr &node, size_t &mem_offset) {
  191. GE_CHECK_NOTNULL(node);
  192. if (node->GetType() == CONSTANT) {
  193. vector<GeTensorPtr> weights = OpDescUtils::MutableWeights(node);
  194. if (weights.empty()) {
  195. GELOGE(FAILED, "weights size of node %s is empty", node->GetName().c_str());
  196. return FAILED;
  197. }
  198. GeTensorPtr weight = weights[0];
  199. if (weight == nullptr) {
  200. GELOGE(FAILED, "weights[0] is null.");
  201. return FAILED;
  202. }
  203. GeTensorDesc &tensor_desc = weight->MutableTensorDesc();
  204. size_t output_size = weight->GetData().size();
  205. TensorUtils::SetDataOffset(tensor_desc, mem_offset);
  206. mem_offset += output_size;
  207. }
  208. return SUCCESS;
  209. }
  210. Status ModelBuilder::SetInputOutputDesc() {
  211. Status ret;
  212. GELOGI("Start to SetInputOutputDesc.");
  213. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  214. auto node_op_desc = n->GetOpDesc();
  215. GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue);
  216. if (!is_loop_graph_ && node_op_desc->GetType() == LOOPCOND) {
  217. is_loop_graph_ = true;
  218. }
  219. // if user set input node format ND, the expected node for data and netoutput format is ND in
  220. // final graph.
  221. if ((GetLocalOmgContext().format == domi::DOMI_TENSOR_ND) && (!node_op_desc->HasAttr("_is_single_op")) &&
  222. ((node_op_desc->GetType() == DATA_TYPE) || (node_op_desc->GetType() == NETOUTPUT))) {
  223. GELOGI("The node [%s] format should be set ND.", node_op_desc->GetName().c_str());
  224. auto inputDescsPtr = node_op_desc->GetAllInputsDescPtr();
  225. auto outputDescsPtr = node_op_desc->GetAllOutputsDescPtr();
  226. ge::Format format = ge::FORMAT_ND;
  227. for (auto &inputDescPtr : inputDescsPtr) {
  228. GE_CHECK_NOTNULL(inputDescPtr);
  229. inputDescPtr->SetFormat(format);
  230. inputDescPtr->SetOriginFormat(format);
  231. }
  232. for (auto &outputDescPtr : outputDescsPtr) {
  233. GE_CHECK_NOTNULL(outputDescPtr);
  234. outputDescPtr->SetFormat(format);
  235. outputDescPtr->SetOriginFormat(format);
  236. }
  237. }
  238. if (node_op_desc->GetType() == DATA_TYPE || node_op_desc->GetType() == AIPP_DATA_TYPE) {
  239. GELOGD("Data node: %s.", n->GetName().c_str());
  240. continue;
  241. }
  242. GE_IF_BOOL_EXEC(n->GetInAllNodes().empty() && n->GetOutAllNodes().empty(), continue;);
  243. SetInputIsConst(n);
  244. if (IsGeLocalOp(n->GetOpDesc())) {
  245. GE_CHK_STATUS_RET(CalcOutputSize(n), "Calculate output size failed");
  246. }
  247. ret = AdjustConstWeightSize(n, weight_offset_);
  248. GE_CHK_STATUS_RET(ret, "AdjustConstWeightSize failed");
  249. GE_IF_BOOL_EXEC(((weight_offset_ > 0) && (weight_offset_ % MEM_ALIGN_SIZE != 0)),
  250. weight_offset_ = (weight_offset_ + MEM_ALIGN_SIZE - 1) / MEM_ALIGN_SIZE * MEM_ALIGN_SIZE);
  251. }
  252. GE_CHK_STATUS_RET(compute_graph_->TopologicalSorting(), "TopologicalSorting failed");
  253. return SUCCESS;
  254. }
  255. void ModelBuilder::AddNodeInputProperty() {
  256. for (const ge::NodePtr &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  257. auto node_op_desc = node->GetOpDesc();
  258. GE_IF_BOOL_EXEC(node_op_desc == nullptr, GELOGW("node_op_desc is nullptr!"); return );
  259. vector<string> src_name_list;
  260. vector<int64_t> src_index_list;
  261. for (const auto &in_data_anchor : node->GetAllInDataAnchors()) {
  262. auto peer_out_anchor = in_data_anchor->GetPeerOutAnchor();
  263. GE_IF_BOOL_EXEC(peer_out_anchor == nullptr, GELOGW("peer_out_anchor is nullptr!"); continue);
  264. GE_IF_BOOL_EXEC(node_op_desc->HasAttr(MERGE_PRENODE_FLAG), continue);
  265. ge::NodePtr src_node = peer_out_anchor->GetOwnerNode();
  266. src_name_list.emplace_back(src_node->GetName());
  267. src_index_list.emplace_back(peer_out_anchor->GetIdx());
  268. }
  269. auto in_control_anchor = node->GetInControlAnchor();
  270. if (in_control_anchor != nullptr) {
  271. string src_name_temp;
  272. for (const auto &out_control_anchor : in_control_anchor->GetPeerOutControlAnchors()) {
  273. ge::NodePtr src_node = out_control_anchor->GetOwnerNode();
  274. src_name_temp = src_name_temp.empty() ? src_node->GetName() : src_name_temp + ":" + src_node->GetName();
  275. }
  276. GE_IF_BOOL_EXEC(!src_name_temp.empty(), src_name_list.emplace_back(src_name_temp);)
  277. }
  278. node_op_desc->SetSrcName(src_name_list);
  279. node_op_desc->SetSrcIndex(src_index_list);
  280. }
  281. for (const ge::NodePtr &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  282. auto node_op_desc = node->GetOpDesc();
  283. GE_IF_BOOL_EXEC(node_op_desc == nullptr, GELOGW("node_op_desc is nullptr!"); return );
  284. GE_IF_BOOL_EXEC(node_op_desc->GetType() == NETOUTPUT, continue);
  285. auto out_control_anchor = node->GetOutControlAnchor();
  286. GE_IF_BOOL_EXEC(out_control_anchor == nullptr, GELOGW("out_control_anchor is nullptr"); return );
  287. vector<string> dst_name_list;
  288. vector<int64_t> dst_index_list;
  289. string dst_name_temp;
  290. for (const auto &in_control_anchor : out_control_anchor->GetPeerInControlAnchors()) {
  291. ge::NodePtr dst_node = in_control_anchor->GetOwnerNode();
  292. dst_name_temp = dst_name_temp.empty() ? dst_node->GetName() : dst_name_temp + ":" + dst_node->GetName();
  293. }
  294. GE_IF_BOOL_EXEC(!dst_name_temp.empty(), dst_name_list.emplace_back(dst_name_temp));
  295. GE_IF_BOOL_EXEC(!out_control_anchor->GetPeerInControlAnchors().empty(),
  296. dst_index_list.emplace_back(kInvalidIndexNum));
  297. for (const auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  298. GE_IF_BOOL_EXEC(node_op_desc->HasAttr(MERGE_PRENODE_FLAG), break);
  299. dst_name_temp = "";
  300. int64_t dst_index = kWrongIndex; // assign an impossible value to dst_index.
  301. for (const auto &in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) {
  302. GE_IF_BOOL_EXEC(in_data_anchor == nullptr, GELOGW("in_data_anchor is nullptr"); return );
  303. ge::NodePtr dst_node = in_data_anchor->GetOwnerNode();
  304. dst_name_temp = dst_name_temp.empty() ? dst_node->GetName() : dst_name_temp + ":" + dst_node->GetName();
  305. dst_index = in_data_anchor->GetIdx();
  306. }
  307. GE_IF_BOOL_EXEC(dst_index != kWrongIndex, dst_index_list.emplace_back(dst_index)); // not found
  308. GE_IF_BOOL_EXEC(!dst_name_temp.empty(), dst_name_list.emplace_back(dst_name_temp));
  309. }
  310. node_op_desc->SetDstName(dst_name_list);
  311. node_op_desc->SetDstIndex(dst_index_list);
  312. }
  313. }
  314. Status ModelBuilder::AdjustInputTensorFlag() {
  315. GELOGI("Start to AdjustInputTensorFlag.");
  316. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  317. if ((n->GetType() == DATA_TYPE) || (n->GetType() == AIPP_DATA_TYPE)) {
  318. GELOGD("Data node: %s.", n->GetName().c_str());
  319. for (const auto &anchor : n->GetAllOutDataAnchors()) {
  320. for (const auto &in_anchors : anchor->GetPeerInDataAnchors()) {
  321. GE_IF_BOOL_EXEC(in_anchors == nullptr, continue);
  322. auto owner_node = in_anchors->GetOwnerNode();
  323. auto owner_node_op_desc = owner_node->GetOpDesc();
  324. GE_IF_BOOL_EXEC(owner_node_op_desc == nullptr, continue);
  325. auto input_desc = owner_node_op_desc->GetInputDesc(in_anchors->GetIdx());
  326. ge::TensorUtils::SetInputTensor(input_desc, true);
  327. if (owner_node_op_desc->UpdateInputDesc(in_anchors->GetIdx(), input_desc) != SUCCESS) {
  328. GELOGE(FAILED, "UpdateOutputDesc failed.");
  329. return FAILED;
  330. }
  331. }
  332. }
  333. }
  334. }
  335. return SUCCESS;
  336. }
  337. void ModelBuilder::InitL1FusionOption() {
  338. string buffer_optimize = "off_optimize";
  339. graphStatus ret = ge::GetContext().GetOption(BUFFER_OPTIMIZE, buffer_optimize);
  340. if (ret == GRAPH_SUCCESS) {
  341. is_l1_fusion_enable_ = (buffer_optimize == "l1_optimize");
  342. GELOGD("The value of %s is %s.", BUFFER_OPTIMIZE.c_str(), buffer_optimize.c_str());
  343. } else {
  344. GELOGW("The value of %s is empty.", kEnableL1Fusion.c_str());
  345. }
  346. }
  347. Status ModelBuilder::BuildModelDef(ge::Model &model) {
  348. ClearOriginalFormat();
  349. max_mem_offset_ = mem_type_to_mem_offset_[RT_MEMORY_HBM];
  350. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_MEMORY_SIZE, max_mem_offset_),
  351. GELOGE(FAILED, "SetInt of ATTR_MODEL_MEMORY_SIZE failed.");
  352. return FAILED);
  353. if (mem_type_to_mem_offset_.find(RT_MEMORY_P2P_DDR) != mem_type_to_mem_offset_.end()) {
  354. p2p_mem_offset_ = mem_type_to_mem_offset_[RT_MEMORY_P2P_DDR];
  355. }
  356. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_P2P_MEMORY_SIZE, p2p_mem_offset_),
  357. GELOGE(FAILED, "SetInt of ATTR_MODEL_P2P_MEMORY_SIZE failed.");
  358. return FAILED);
  359. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_WEIGHT_SIZE, weight_offset_),
  360. GELOGE(FAILED, "SetInt of ATTR_MODEL_WEIGHT_SIZE failed.");
  361. return FAILED);
  362. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_STREAM_NUM, stream_num_),
  363. GELOGE(FAILED, "SetInt of ATTR_MODEL_STREAM_NUM failed.");
  364. return FAILED);
  365. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_EVENT_NUM, event_num_),
  366. GELOGE(FAILED, "SetInt of ATTR_MODEL_EVENT_NUM failed.");
  367. return FAILED);
  368. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListInt(&model, ATTR_MODEL_HUGE_STREAM_LIST, huge_streams_),
  369. GELOGE(FAILED, "SetInt of ATTR_MODEL_HUGE_STREAM_LIST failed.");
  370. return FAILED);
  371. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_LABEL_NUM, label_num_),
  372. GELOGE(FAILED, "SetInt of ATTR_MODEL_LABEL_NUM failed.");
  373. return FAILED);
  374. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetInt(&model, ATTR_MODEL_ZERO_COPY_MEMORY_SIZE, zero_copy_mem_size_),
  375. GELOGE(FAILED, "SetInt of ATTR_MODEL_ZERO_COPY_MEMORY_SIZE failed.");
  376. return FAILED);
  377. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetListStr(&model, ATTR_MODEL_OUT_NODES_NAME, GetLocalOmgContext().net_out_nodes),
  378. GELOGE(FAILED, "SetListStr of ATTR_MODEL_OUT_NODES_NAME failed.");
  379. return FAILED);
  380. GELOGI("For model, max_mem_offset_: %zu, p2p_mem_size: %zu, zero_copy_mem_size_: %zu", max_mem_offset_,
  381. p2p_mem_offset_, zero_copy_mem_size_);
  382. string ge_core_type;
  383. Status ret = ge::GetContext().GetOption(kCoreType, ge_core_type);
  384. if (ret != SUCCESS) {
  385. GELOGW("get the option CORE_TYPE fail, set it to default value VECTOR_ENGINE");
  386. }
  387. int64_t core_type = (ge_core_type == kVectorCore) ? 1 : 0;
  388. GELOGI("core_type: %ld", core_type);
  389. if (!ge::AttrUtils::SetInt(&model, ATTR_MODEL_CORE_TYPE, core_type)) {
  390. GELOGE(FAILED, "SetInt of ATTR_CORE_TYPE failed.");
  391. }
  392. InitL1FusionOption();
  393. GE_CHK_BOOL_EXEC(ge::AttrUtils::SetBool(&model, ATTR_NAME_SWITCH_FOR_L1_FUSION, is_l1_fusion_enable_),
  394. GELOGE(FAILED, "SetBool of ATTR_NAME_SWITCH_FOR_L1_FUSION failed.");
  395. return FAILED);
  396. const DumpProperties &dump_properties = PropertiesManager::Instance().GetDumpProperties(session_id_);
  397. bool is_op_debug = dump_properties.IsOpDebugOpen();
  398. GELOGI("Get op debug:%d", is_op_debug);
  399. if (is_op_debug) {
  400. if (!ge::AttrUtils::SetBool(&model, ATTR_OP_DEBUG_FLAG, is_op_debug)) {
  401. GELOGE(FAILED, "SetBool of ATTR_OP_DEBUG_FLAG failed.");
  402. return FAILED;
  403. }
  404. uint32_t op_debug_mode = dump_properties.GetOpDebugMode();
  405. GELOGI("Get op debug mode:%d", op_debug_mode);
  406. if (!ge::AttrUtils::SetInt(&model, ATTR_OP_DEBUG_MODE, op_debug_mode)) {
  407. GELOGE(FAILED, "SetBool of ATTR_OP_DEBUG_MODE failed.");
  408. return FAILED;
  409. }
  410. }
  411. model.SetName(compute_graph_->GetName());
  412. model.SetGraph(ge::GraphUtils::CreateGraphFromComputeGraph(compute_graph_));
  413. GELOGI("weight_offset_: %zu", weight_offset_);
  414. GELOGI("Set event num: %ld.", event_num_);
  415. if (Params::Instance() == nullptr) {
  416. return FAILED;
  417. }
  418. platform_type_ = Params::Instance()->GetTarget_8bit();
  419. return SUCCESS;
  420. }
  421. void ModelBuilder::ClearOriginalFormat() {
  422. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  423. auto node_op_desc = n->GetOpDesc();
  424. if (node_op_desc != nullptr) {
  425. if (node_op_desc->HasAttr(ATTR_NAME_FORMAT)) {
  426. if (node_op_desc->DelAttr(ATTR_NAME_FORMAT) != SUCCESS) {
  427. GELOGW("DelAttr ATTR_NAME_FORMAT failed.");
  428. }
  429. }
  430. GE_IF_BOOL_EXEC(
  431. node_op_desc->HasAttr(ATTR_NAME_INFERRED_FORMAT),
  432. if (node_op_desc->DelAttr(ATTR_NAME_INFERRED_FORMAT) != SUCCESS) {
  433. GELOGW("DelAttr ATTR_NAME_INFERRED_FORMAT failed.");
  434. });
  435. GE_IF_BOOL_EXEC(
  436. node_op_desc->HasAttr(ATTR_NAME_PRED_PERMUTE_DELETED),
  437. if (node_op_desc->DelAttr(ATTR_NAME_PRED_PERMUTE_DELETED) != SUCCESS) {
  438. GELOGW("DelAttr ATTR_NAME_PRED_PERMUTE_DELETED failed.");
  439. });
  440. GE_IF_BOOL_EXEC(
  441. node_op_desc->HasAttr(ATTR_NAME_IGNORE_PRED_FORMAT),
  442. if (node_op_desc->DelAttr(ATTR_NAME_IGNORE_PRED_FORMAT) != SUCCESS) {
  443. GELOGW("DelAttr ATTR_NAME_IGNORE_PRED_FORMAT failed.");
  444. });
  445. }
  446. }
  447. }
  448. Status ModelBuilder::MergeWeights() {
  449. if (weight_offset_ == 0) {
  450. return SUCCESS;
  451. }
  452. ge::Buffer buffer(weight_offset_);
  453. weight_buffer_ = buffer;
  454. auto base_addr = weight_buffer_.GetData();
  455. for (const ge::NodePtr &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  456. auto op_desc = node->GetOpDesc();
  457. GE_IF_BOOL_EXEC(op_desc == nullptr, continue);
  458. if (node->GetType() != CONSTANT) {
  459. continue;
  460. }
  461. // Get const op weight pointer
  462. ge::GeTensorPtr weight = nullptr;
  463. // If MutableTensor failed, weight is nullptr.
  464. (void)ge::AttrUtils::MutableTensor(op_desc, ATTR_NAME_WEIGHTS, weight);
  465. if (weight == nullptr) {
  466. GELOGE(FAILED, "Can't get const op weight, name: %s", node->GetName().c_str());
  467. return FAILED;
  468. }
  469. // Get const op weight offset
  470. int64_t offset = 0;
  471. if (ge::TensorUtils::GetDataOffset(weight->GetTensorDesc(), offset) != SUCCESS) {
  472. GELOGW("Can't get const op offset, name: %s", node->GetName().c_str());
  473. continue; // continue to merge if can not get offset
  474. }
  475. // Get const op weight data
  476. auto weight_data = weight->MutableData();
  477. // copy const op weight data to buffer
  478. GELOGI("Move to buffer, name: %s offset: %ld size: %zu", node->GetName().c_str(), offset, weight_data.size());
  479. ge::TensorUtils::SetWeightSize(weight->MutableTensorDesc(), static_cast<uint32_t>(weight_data.size()));
  480. if ((offset == 0) || (weight_data.size() == 0)) {
  481. GELOGI("Size or offset is 0. size: %lu offset: %ld", weight_data.size(), offset);
  482. continue;
  483. }
  484. if (weight_data.data() != nullptr) {
  485. GE_IF_BOOL_EXEC(base_addr == nullptr, GELOGE(FAILED, "Base addr is nullptr."); return FAILED);
  486. if (weight_offset_ - offset < weight_data.size()) {
  487. GELOGE(FAILED, "left weight size not enough. left_size:%lu, weight_size:%lu",
  488. weight_offset_ - offset, weight_data.size());
  489. return FAILED;
  490. }
  491. uintptr_t dst_ptr = reinterpret_cast<uintptr_t>(base_addr) + offset;
  492. uintptr_t src_ptr = reinterpret_cast<uintptr_t>(weight_data.data());
  493. size_t left_size = weight_data.size();
  494. while (left_size > SECUREC_MEM_MAX_LEN) {
  495. auto err = memcpy_s(reinterpret_cast<void *>(dst_ptr), SECUREC_MEM_MAX_LEN, reinterpret_cast<void *>(src_ptr),
  496. SECUREC_MEM_MAX_LEN);
  497. if (err != EOK) {
  498. GELOGE(FAILED, "mem copy failed. errret:%u, "
  499. "dst_ptr:%lx, dst_size:%lu, src_ptr:%lx, src_size:%lu",
  500. err, dst_ptr, SECUREC_MEM_MAX_LEN, src_ptr, SECUREC_MEM_MAX_LEN);
  501. return FAILED;
  502. }
  503. left_size -= SECUREC_MEM_MAX_LEN;
  504. dst_ptr = dst_ptr + SECUREC_MEM_MAX_LEN;
  505. src_ptr = src_ptr + SECUREC_MEM_MAX_LEN;
  506. }
  507. auto err = memcpy_s(reinterpret_cast<void *>(dst_ptr), left_size, reinterpret_cast<void *>(src_ptr), left_size);
  508. if (err != EOK) {
  509. GELOGE(FAILED, "mem copy failed. errret:%u, "
  510. "dst_ptr:%lx, dst_size:%lu, src_ptr:%lx, src_size:%lu",
  511. err, dst_ptr, SECUREC_MEM_MAX_LEN, src_ptr, SECUREC_MEM_MAX_LEN);
  512. return FAILED;
  513. }
  514. }
  515. weight_data.clear();
  516. }
  517. return SUCCESS;
  518. }
  519. Status ModelBuilder::SaveDataToModel(ge::Model &model, ge::GeModel &ge_model) {
  520. // Add weight
  521. ge_model.SetWeight(weight_buffer_);
  522. // Add TBE Kernels and custom aicpu op bin
  523. std::set<std::string> tbe_name_set;
  524. std::set<std::string> aicpu_name_set;
  525. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  526. auto node_op_desc = n->GetOpDesc();
  527. GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue);
  528. TBEKernelPtr tbe_kernel = node_op_desc->TryGetExtAttr(ge::OP_EXTATTR_NAME_TBE_KERNEL, TBEKernelPtr());
  529. if (tbe_kernel == nullptr) {
  530. std::string kernel_name;
  531. GeAttrValue::BYTES kernel_buffer;
  532. (void) AttrUtils::GetStr(node_op_desc, ATTR_NAME_TBE_KERNEL_NAME, kernel_name);
  533. (void) AttrUtils::GetBytes(node_op_desc, ATTR_NAME_TBE_KERNEL_BUFFER, kernel_buffer);
  534. if (!kernel_name.empty() && (kernel_buffer.GetSize() > 0)) {
  535. GE_CHECK_NOTNULL(kernel_buffer.GetData());
  536. std::vector<char> data(kernel_buffer.GetData(), kernel_buffer.GetData() + kernel_buffer.GetSize());
  537. tbe_kernel = std::make_shared<OpKernelBin>(kernel_name, std::move(data));
  538. }
  539. }
  540. GE_IF_BOOL_EXEC(tbe_kernel == nullptr, continue);
  541. if (tbe_name_set.count(tbe_kernel->GetName()) > 0) {
  542. GELOGE(FAILED, "tbe_kernel name %s can't be the same", tbe_kernel->GetName().c_str());
  543. return FAILED;
  544. }
  545. tbe_name_set.insert(tbe_kernel->GetName());
  546. tbe_kernel_store_.AddTBEKernel(tbe_kernel);
  547. GELOGI("Add tbe kernel bin %s", tbe_kernel->GetName().c_str());
  548. }
  549. for (const ge::NodePtr &n : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  550. auto node_op_desc = n->GetOpDesc();
  551. GE_IF_BOOL_EXEC(node_op_desc == nullptr, continue);
  552. CustAICPUKernelPtr cust_aicpu_kernel =
  553. node_op_desc->TryGetExtAttr(ge::OP_EXTATTR_CUSTAICPU_KERNEL, CustAICPUKernelPtr());
  554. GE_IF_BOOL_EXEC(cust_aicpu_kernel == nullptr, continue);
  555. if (aicpu_name_set.count(cust_aicpu_kernel->GetName()) > 0) {
  556. GELOGE(FAILED, "aicpu_kernel name %s can't be the same", cust_aicpu_kernel->GetName().c_str());
  557. return FAILED;
  558. }
  559. aicpu_name_set.insert(cust_aicpu_kernel->GetName());
  560. cust_aicpu_kernel_store_.AddCustAICPUKernel(cust_aicpu_kernel);
  561. GELOGI("Add cust aicpu kernel bin %s", cust_aicpu_kernel->GetName().c_str());
  562. }
  563. if (!tbe_kernel_store_.Build()) {
  564. GELOGE(FAILED, "TBE Kernels store build failed!");
  565. return FAILED;
  566. }
  567. if (!cust_aicpu_kernel_store_.Build()) {
  568. GELOGE(FAILED, "custom AICPU kernels store build failed!");
  569. return FAILED;
  570. }
  571. ge_model.SetTBEKernelStore(tbe_kernel_store_);
  572. ge_model.SetCustAICPUKernelStore(cust_aicpu_kernel_store_);
  573. // Add task
  574. GeAttrValue::BYTES task_def_bytes;
  575. if (!AttrUtils::GetZeroCopyBytes(model, MODEL_ATTR_TASKS, task_def_bytes)) {
  576. GELOGE(INTERNAL_ERROR, "Get zero copy bytes fail.");
  577. return INTERNAL_ERROR;
  578. }
  579. int byte_size = static_cast<int>(task_def_bytes.GetSize());
  580. std::shared_ptr<domi::ModelTaskDef> task = ge::MakeShared<domi::ModelTaskDef>();
  581. GE_CHECK_NOTNULL(task);
  582. GE_CHK_BOOL_EXEC(ReadProtoFromArray(task_def_bytes.GetData(), byte_size, task.get()), return INTERNAL_ERROR,
  583. "ReadProtoFromArray failed.");
  584. ge_model.SetModelTaskDef(task);
  585. // Add graph
  586. ge_model.SetName(model.GetName());
  587. ge_model.SetGraph(model.GetGraph());
  588. ge_model.SetVersion(model.GetVersion());
  589. ge_model.SetPlatformVersion(model.GetPlatformVersion());
  590. ge_model.SetPlatformType(platform_type_);
  591. ge_model.SetAttr(model.MutableAttrMap());
  592. return SUCCESS;
  593. }
  594. void ModelBuilder::SetModelVersion(ge::Model &model) {
  595. // set framework_version TO model
  596. string framework_version;
  597. uint32_t counter = 0;
  598. Status frame_rt = PlatformVersionManager::GetPlatformVersion(framework_version);
  599. GE_IF_BOOL_EXEC((frame_rt == SUCCESS),
  600. string model_framework_version = framework_version + "." + std::to_string(counter);
  601. model.SetPlatformVersion(model_framework_version););
  602. // set IR Version TO model
  603. model.SetVersion(static_cast<uint32_t>(OM_PROTO_VERSION));
  604. }
  605. Status ModelBuilder::PreBuildModel() {
  606. if ((compute_graph_ == nullptr) || !(compute_graph_->IsValid())) {
  607. GELOGE(FAILED, "Graph_ is not valid.");
  608. return FAILED;
  609. }
  610. GELOGI("BuildModel begin.");
  611. GE_CHK_STATUS_RET(SetInputOutputDesc(), "SetInputOutputDesc Failed!");
  612. AddNodeInputProperty();
  613. return SUCCESS;
  614. }
  615. Status ModelBuilder::BuildModelForGetTask(ge::Model &model) {
  616. GE_CHK_STATUS_RET(AdjustInputTensorFlag(), "AdjustInputTensorFlag failed!");
  617. // Assign logical streams.
  618. StreamAllocator stream_allocator(compute_graph_, subgraphs_);
  619. GE_TIMESTAMP_START(AssignLogicalStreams);
  620. GE_CHK_STATUS_RET(stream_allocator.AssignLogicalStreams(stream_max_parallel_num_, hcom_parallel_),
  621. "Assign logical streams failed.");
  622. GE_TIMESTAMP_END(AssignLogicalStreams, "GraphBuilder::AssignLogicalStreams");
  623. // Assign functional op labels.
  624. label_num_ = 0;
  625. (void)AttrUtils::GetInt(*compute_graph_, ATTR_MODEL_LABEL_NUM, label_num_);
  626. GE_TIMESTAMP_START(AssignMemory);
  627. MemoryAssigner mem_assigner(compute_graph_);
  628. GE_CHK_STATUS_RET(mem_assigner.AssignMemory(is_loop_graph_, mem_type_to_mem_offset_, zero_copy_mem_size_),
  629. "Assign Memory Failed!");
  630. GE_TIMESTAMP_END(AssignMemory, "GraphBuilder::AssignMemory");
  631. GE_TIMESTAMP_START(SetInputOutputOffset);
  632. SetInputOutputOffsetPass input_output_offset;
  633. GE_CHK_STATUS_RET(input_output_offset.Run(compute_graph_), "Set input output offset failed.");
  634. GE_TIMESTAMP_END(SetInputOutputOffset, "SetInputOutputOffsetPass::Run.");
  635. // Compile single op in graph build stage
  636. GE_TIMESTAMP_START(CompileSingleOp);
  637. GE_CHK_STATUS_RET(CompileSingleOp(), "ATC builder CompileSingleOp() return fail.");
  638. GE_TIMESTAMP_EVENT_END(CompileSingleOp, "GraphBuilder::CompileSingleOp");
  639. // Refresh real streams and insert event nodes.
  640. GE_TIMESTAMP_START(RefreshRealStream);
  641. GE_CHK_STATUS_RET(stream_allocator.RefreshRealStream(stream_num_, event_num_), "RefreshRealStream failed.");
  642. huge_streams_ = stream_allocator.GetHugeStreams();
  643. GE_TIMESTAMP_END(RefreshRealStream, "GraphBuilder::RefreshRealStream");
  644. GE_TIMESTAMP_START(MergeWeights);
  645. GE_CHK_STATUS_RET(MergeWeights(), "MergeWeights Failed!");
  646. GE_TIMESTAMP_END(MergeWeights, "GraphBuilder::MergeWeights");
  647. GE_TIMESTAMP_START(BuildModelDef);
  648. GE_CHK_STATUS_RET(BuildModelDef(model), "BuildModelDef failed!");
  649. GE_TIMESTAMP_END(BuildModelDef, "GraphBuilder::BuildModelDef");
  650. SetModelVersion(model);
  651. return SUCCESS;
  652. }
  653. Status ModelBuilder::BuildModelForGetDynShapeTask(ge::Model &model_def) {
  654. GE_TIMESTAMP_START(BuildModelDef);
  655. GE_CHK_STATUS_RET(BuildModelDef(model_def), "BuildModelDef failed!");
  656. GE_TIMESTAMP_END(BuildModelDef, "GraphBuilder::BuildModelDef");
  657. SetModelVersion(model_def);
  658. return SUCCESS;
  659. }
  660. ge::Buffer ModelBuilder::GetWeightBuffer() const { return weight_buffer_; }
  661. Status ModelBuilder::CompileSingleOp() {
  662. GELOGD("Begin to compile single op.");
  663. // Create ge instance
  664. std::shared_ptr<GELib> instance = ge::GELib::GetInstance();
  665. if ((instance == nullptr) || !instance->InitFlag()) {
  666. GELOGE(ge::GE_CLI_GE_NOT_INITIALIZED, "CompileSingleOp failed.");
  667. return ge::GE_CLI_GE_NOT_INITIALIZED;
  668. }
  669. GE_TIMESTAMP_CALLNUM_START(BatchCompileOp);
  670. std::unordered_map<string, vector<ge::NodePtr>> node_vector_map;
  671. for (auto &node : compute_graph_->GetNodes(compute_graph_->GetGraphUnknownFlag())) {
  672. auto op_desc = node->GetOpDesc();
  673. if (op_desc == nullptr) {
  674. continue;
  675. }
  676. // Graph build stage only supports the individual compilation of atomic clean operator
  677. if (op_desc->GetType() == ATOMICADDRCLEAN) {
  678. GELOGD("Begin to compile single op, op name is %s.", op_desc->GetName().c_str());
  679. string kernel_lib_name = op_desc->GetOpKernelLibName();
  680. if (kernel_lib_name.empty()) {
  681. // Reset op kernel lib
  682. (void)instance->DNNEngineManagerObj().GetDNNEngineName(node);
  683. kernel_lib_name = op_desc->GetOpKernelLibName();
  684. if (kernel_lib_name.empty()) {
  685. GELOGE(ge::INTERNAL_ERROR, "Get node:%s(%s) kernel lib failed.", node->GetName().c_str(),
  686. node->GetType().c_str());
  687. return ge::INTERNAL_ERROR;
  688. }
  689. }
  690. OpsKernelInfoStorePtr kernel_info = instance->OpsKernelManagerObj().GetOpsKernelInfoStore(kernel_lib_name);
  691. if (kernel_info != nullptr) {
  692. node_vector_map[kernel_lib_name].emplace_back(node);
  693. } else {
  694. GELOGE(ge::GE_GRAPH_PARAM_NULLPTR, "Get op %s ops kernel info store failed", node->GetName().c_str());
  695. return ge::GE_GRAPH_PARAM_NULLPTR;
  696. }
  697. }
  698. }
  699. for (auto &it : node_vector_map) {
  700. auto &kernel_lib_name = it.first;
  701. auto &node_vector = it.second;
  702. OpsKernelInfoStorePtr kernel_info = instance->OpsKernelManagerObj().GetOpsKernelInfoStore(kernel_lib_name);
  703. GE_CHECK_NOTNULL(kernel_info);
  704. GE_TIMESTAMP_RESTART(BatchCompileOp);
  705. auto ret = kernel_info->CompileOp(node_vector);
  706. GELOGI("[GEPERFTRACE] The node size of compile op of %s is %zu", kernel_lib_name.c_str(), node_vector.size());
  707. GE_TIMESTAMP_ADD(BatchCompileOp);
  708. if (ret != ge::SUCCESS) {
  709. GELOGE(ret, "Compile op failed, kernel lib name is %s", kernel_lib_name.c_str());
  710. return ret;
  711. }
  712. }
  713. GE_TIMESTAMP_CALLNUM_END(BatchCompileOp, "GraphBuild::CompileOp");
  714. return ge::SUCCESS;
  715. }
  716. } // 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