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ge_ir_build.cc 32 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 "external/ge/ge_ir_build.h"
  17. #include <vector>
  18. #include "common/auth/file_saver.h"
  19. #include "external/register/register_types.h"
  20. #include "framework/common/debug/ge_log.h"
  21. #include "framework/common/ge_inner_error_codes.h"
  22. #include "framework/common/string_util.h"
  23. #include "framework/common/types.h"
  24. #include "framework/common/util.h"
  25. #include "framework/omg/omg_inner_types.h"
  26. #include "framework/omg/omg_inner_types.h"
  27. #include "ge/ge_api_types.h"
  28. #include "generator/ge_generator.h"
  29. #include "graph/compute_graph.h"
  30. #include "graph/ge_tensor.h"
  31. #include "graph/utils/type_utils.h"
  32. #include "graph/ge_global_options.h"
  33. #include "init/gelib.h"
  34. #include "ir_build/atc_ir_common.h"
  35. #include "model/ge_model.h"
  36. #include "graph/shape_refiner.h"
  37. #include "graph/opsproto_manager.h"
  38. #include "inc/pass_manager.h"
  39. #include "graph/passes/net_output_pass.h"
  40. #include "graph/passes/data_pass.h"
  41. #include "ir_build/attr_options/attr_options.h"
  42. using std::string;
  43. using namespace std;
  44. namespace ge {
  45. namespace {
  46. const std::string IR_OPTION_TARGET = "target";
  47. const std::string IR_OPTION_MODE = "mode";
  48. const std::string IR_OP_CONF_DELIMITER = ":";
  49. const std::string IR_OPTION_LOG_LEVEL_DEFAULT = "default";
  50. const std::string IR_OPTION_BUFFER_OPTIMIZE_DEFAULT = "l2_optimize";
  51. const std::string IR_OPTION_DISABLE_REUSE_MEMORY_DEFAULT = "0";
  52. const std::string IR_OPTION_ENABLE_COMPRESS_WEIGHT_DEFAULT = "false";
  53. const std::string KEEP_DTYPE_OPTION = "keep_dtype";
  54. const std::string kInputShape = "input_shape";
  55. const std::string kInputFormat = "input_format";
  56. /**
  57. * @name SetOpAttrFun
  58. * @brief set attribute for operators in the configuration file
  59. * @param graph [IN/OUT] compute graph
  60. * @param cfg_path [IN] the config file path
  61. * @return graphStatus
  62. */
  63. typedef graphStatus (*SetOpAttrFun)(ComputeGraphPtr &graph, const std::string &cfg_path);
  64. const std::map<aclgrphAttrType, SetOpAttrFun> kAttrTypeFuncMap = {
  65. {ATTR_TYPE_KEEP_DTYPE, KeepDtypeFunc},
  66. {ATTR_TYPE_WEIGHT_COMPRESS, WeightCompressFunc}
  67. };
  68. const std::map<aclgrphAttrType, std::string> kAttrTypeToStringMap = {
  69. {ATTR_TYPE_KEEP_DTYPE, KEEP_DTYPE_OPTION},
  70. {ATTR_TYPE_WEIGHT_COMPRESS, ge::ir_option::COMPRESS_WEIGHT_CONF}
  71. };
  72. } // namespace
  73. static graphStatus CheckGlobalOptions(std::map<std::string, std::string> &global_options) {
  74. // check param disable_reuse_memory
  75. std::string disable_reuse_memory = global_options.find(ge::ir_option::EXEC_DISABLE_REUSED_MEMORY) ==
  76. global_options.end()
  77. ? IR_OPTION_DISABLE_REUSE_MEMORY_DEFAULT
  78. : global_options[ge::ir_option::EXEC_DISABLE_REUSED_MEMORY];
  79. GE_CHK_BOOL_EXEC(ge::CheckDisableReuseMemoryParamValid(disable_reuse_memory) == ge::SUCCESS,
  80. return ge::GRAPH_PARAM_INVALID, "check disable_reuse_memory failed!");
  81. global_options[ge::ir_option::EXEC_DISABLE_REUSED_MEMORY] = disable_reuse_memory;
  82. // check buffer_optimize
  83. std::string buffer_optimize = global_options.find(ge::ir_option::BUFFER_OPTIMIZE) == global_options.end()
  84. ? IR_OPTION_BUFFER_OPTIMIZE_DEFAULT
  85. : global_options[ge::ir_option::BUFFER_OPTIMIZE];
  86. GE_CHK_BOOL_EXEC(ge::CheckBufferOptimizeParamValid(buffer_optimize) == ge::SUCCESS,
  87. return ge::GRAPH_PARAM_INVALID, "check buffer optimize failed!");
  88. global_options[ge::ir_option::BUFFER_OPTIMIZE] = buffer_optimize;
  89. // check enable_single_stream
  90. std::string enable_single_stream = global_options.find(ge::ir_option::ENABLE_SINGLE_STREAM) == global_options.end()
  91. ? ""
  92. : global_options[ge::ir_option::ENABLE_SINGLE_STREAM];
  93. GE_CHK_BOOL_EXEC(ge::CheckEnableSingleStreamParamValid(enable_single_stream) == ge::SUCCESS,
  94. return ge::GRAPH_PARAM_INVALID, "check enable single stream failed!");
  95. // check compress_weight
  96. std::string enable_compress_weight = global_options.find(ge::ir_option::ENABLE_COMPRESS_WEIGHT) ==
  97. global_options.end()
  98. ? IR_OPTION_ENABLE_COMPRESS_WEIGHT_DEFAULT
  99. : global_options[ge::ir_option::ENABLE_COMPRESS_WEIGHT];
  100. std::string compress_weight_conf = global_options.find(ge::ir_option::COMPRESS_WEIGHT_CONF) == global_options.end()
  101. ? ""
  102. : global_options[ge::ir_option::COMPRESS_WEIGHT_CONF];
  103. GE_CHK_BOOL_EXEC(ge::CheckCompressWeightParamValid(enable_compress_weight, compress_weight_conf) == ge::SUCCESS,
  104. return ge::GRAPH_PARAM_INVALID, "check compress weight failed!");
  105. global_options[ge::ir_option::ENABLE_COMPRESS_WEIGHT] = (enable_compress_weight == "true") ?
  106. ge::kEnableCompressWeightTrue :
  107. ge::kEnableCompressWeightFalse;
  108. // check optypelist_for_implmode and op_select_implmode
  109. std::string optypelist_for_implmode = global_options.find(ge::ir_option::OPTYPELIST_FOR_IMPLMODE) ==
  110. global_options.end()
  111. ? ""
  112. : global_options[ge::ir_option::OPTYPELIST_FOR_IMPLMODE];
  113. std::string op_select_implmode = global_options.find(ge::ir_option::OP_SELECT_IMPL_MODE) ==
  114. global_options.end()
  115. ? ""
  116. : global_options[ge::ir_option::OP_SELECT_IMPL_MODE];
  117. GE_CHK_BOOL_EXEC(
  118. ge::CheckImplmodeParamValid(optypelist_for_implmode, op_select_implmode) == ge::SUCCESS,
  119. return ge::GRAPH_PARAM_INVALID, "check optypelist_for_implmode and op_select_implmode failed!");
  120. global_options[ge::ir_option::OP_SELECT_IMPL_MODE] = op_select_implmode;
  121. // set precision mode default value
  122. std::string precision_mode = global_options.find(ge::ir_option::PRECISION_MODE) ==
  123. global_options.end()
  124. ? "force_fp16"
  125. : global_options[ge::ir_option::PRECISION_MODE];
  126. global_options[ge::ir_option::PRECISION_MODE] = precision_mode;
  127. return GRAPH_SUCCESS;
  128. }
  129. static void GetOpsProtoPath(string &opsproto_path) {
  130. GELOGI("Start to get ops proto path schedule.");
  131. const char *path_env = std::getenv("ASCEND_OPP_PATH");
  132. if (path_env != nullptr) {
  133. string path = path_env;
  134. string file_path = RealPath(path.c_str());
  135. if (file_path.empty()) {
  136. GELOGE(FAILED, "File path %s is invalid.", path.c_str());
  137. return;
  138. }
  139. opsproto_path = (path + "/op_proto/custom/" + ":") + (path + "/op_proto/built-in/");
  140. GELOGI("Get opsproto so path from env : %s", path.c_str());
  141. return;
  142. }
  143. string path_base = PluginManager::GetPath();
  144. GELOGI("path_base is %s", path_base.c_str());
  145. path_base = path_base.substr(0, path_base.rfind('/'));
  146. path_base = path_base.substr(0, path_base.rfind('/') + 1);
  147. opsproto_path = (path_base + "ops/op_proto/custom/" + ":") + (path_base + "ops/op_proto/built-in/");
  148. }
  149. static void LoadOpsProto() {
  150. string opsproto_path;
  151. GetOpsProtoPath(opsproto_path);
  152. GELOGI("Get opsproto path is %s", opsproto_path.c_str());
  153. OpsProtoManager *manager = OpsProtoManager::Instance();
  154. map<string, string> option_tmp;
  155. option_tmp.emplace(std::pair<string, string>(string("ge.opsProtoLibPath"), opsproto_path));
  156. (void)manager->Initialize(option_tmp);
  157. }
  158. graphStatus aclgrphBuildInitializeImpl(std::map<std::string, std::string> &global_options) {
  159. GELOGD("Enter aclgrphInitialize start!");
  160. // check global options
  161. if (CheckGlobalOptions(global_options) != GRAPH_SUCCESS) {
  162. GELOGE(GRAPH_PARAM_INVALID, "Check global options falied!");
  163. return GRAPH_PARAM_INVALID;
  164. }
  165. // print global option map
  166. ge::PrintOptionMap(global_options, "global option");
  167. LoadOpsProto();
  168. std::shared_ptr<ge::GELib> instance_ptr = ge::GELib::GetInstance();
  169. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  170. GELOGI("aclgrphInitialize start!");
  171. auto ret = ge::GELib::Initialize(global_options);
  172. if (ret != ge::SUCCESS) {
  173. GELOGE(ret, "GE initialize failed!");
  174. return GRAPH_FAILED;
  175. }
  176. }
  177. GELOGW("gelib has been initialized!");
  178. std::string path_base = ge::GELib::GetPath();
  179. int ret = ErrorManager::GetInstance().Init(path_base);
  180. if (ret != 0) {
  181. DOMI_LOGE("ErrorManager init fail !");
  182. return GRAPH_FAILED;
  183. }
  184. return GRAPH_SUCCESS;
  185. }
  186. graphStatus aclgrphBuildInitialize(std::map<std::string, std::string> global_options) {
  187. return aclgrphBuildInitializeImpl(global_options);
  188. }
  189. graphStatus aclgrphBuildInitialize(std::map<AscendString, AscendString> &global_options) {
  190. std::map<std::string, std::string> tmp_global_options;
  191. for (auto &option : global_options) {
  192. if (option.first.GetString() == nullptr || option.second.GetString() == nullptr) {
  193. GELOGE(GRAPH_FAILED, "AclgrphBuildInitialize option is nullptr.");
  194. return GRAPH_FAILED;
  195. }
  196. std::string key = option.first.GetString();
  197. std::string val = option.second.GetString();
  198. tmp_global_options[key] = val;
  199. }
  200. return aclgrphBuildInitializeImpl(tmp_global_options);
  201. }
  202. void aclgrphBuildFinalize() {
  203. if (ge::GELib::GetInstance() != nullptr && ge::GELib::GetInstance()->InitFlag()) {
  204. (void)ge::GELib::GetInstance()->Finalize();
  205. return;
  206. }
  207. GELOGW("[Notice] gelib has not been initialized!do nothing!");
  208. }
  209. class Impl {
  210. public:
  211. Impl() {
  212. omg_context_ = domi::GetContext();
  213. omg_context_.format = domi::DOMI_TENSOR_ND;
  214. omg_context_.input_nodes_format_map.clear();
  215. omg_context_.output_formats.clear();
  216. omg_context_.user_input_dims.clear();
  217. omg_context_.input_dims.clear();
  218. omg_context_.op_conf_map.clear();
  219. omg_context_.out_nodes_map.clear();
  220. omg_context_.user_out_nodes.clear();
  221. omg_context_.net_format = domi::DOMI_TENSOR_RESERVED;
  222. omg_context_.type = domi::FRAMEWORK_RESERVED;
  223. omg_context_.run_mode = ONLY_PRE_CHECK;
  224. omg_context_.train_flag = false;
  225. omg_context_.output_type.clear();
  226. omg_context_.is_dynamic_input = false;
  227. omg_context_.dynamic_batch_size.clear();
  228. omg_context_.dynamic_image_size.clear();
  229. omg_context_.dynamic_dims.clear();
  230. };
  231. ~Impl() { (void)generator_.Finalize(); };
  232. graphStatus CheckOptions(const std::map<std::string, std::string> &options);
  233. graphStatus CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs);
  234. graphStatus UpdateDataOpAttr(const Graph &graph);
  235. graphStatus Init(const Graph &graph, const std::map<std::string, std::string> &options);
  236. graphStatus BuildModel(const Graph &graph, const std::map<std::string, std::string> &options,
  237. ModelBufferData &ge_models);
  238. graphStatus InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
  239. bool is_dynamic_input);
  240. static graphStatus InferShapePrepare(const ComputeGraphPtr &compute_graph);
  241. void SetRtSocVersion();
  242. void UpdateThreadContext();
  243. void LoadOpsProto();
  244. public:
  245. ge::GeGenerator generator_;
  246. std::map<std::string, std::string> options_;
  247. bool is_dynamic_input_ = false;
  248. OmgContext omg_context_;
  249. };
  250. graphStatus Impl::InferShapePrepare(const ComputeGraphPtr &compute_graph) {
  251. GE_CHECK_NOTNULL(compute_graph);
  252. PassManager prepare_infershape;
  253. prepare_infershape.AddPass("PrepareNetoutput", new(std::nothrow) NetOutputPass);
  254. prepare_infershape.AddPass("PrepareSubGraphReflection", new (std::nothrow) DataPass);
  255. auto ret = prepare_infershape.Run(compute_graph);
  256. if ((ret != SUCCESS) && (ret != NOT_CHANGED)) {
  257. GELOGE(ret, "Prepair for infershape failed, ret:%d", ret);
  258. return ret;
  259. }
  260. GELOGD("Prepair for infershape success!");
  261. return GRAPH_SUCCESS;
  262. }
  263. graphStatus Impl::UpdateDataOpAttr(const Graph &graph) {
  264. GELOGD("Enter Update Data Attr Process!");
  265. if (options_.find(kInputShape) == options_.end()) {
  266. return GRAPH_SUCCESS;
  267. }
  268. map<string, vector<int64_t>> shape_map;
  269. vector<pair<string, vector<int64_t>>> user_shape_map;
  270. GE_CHK_BOOL_EXEC(ParseInputShape(options_[kInputShape], shape_map, user_shape_map, true),
  271. return GRAPH_PARAM_INVALID, "parse input shape failed!");
  272. auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
  273. GE_CHECK_NOTNULL(compute_graph);
  274. for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) {
  275. GE_CHECK_NOTNULL(input_node);
  276. ge::OpDescPtr op = input_node->GetOpDesc();
  277. GE_CHECK_NOTNULL(op);
  278. if (op->GetType() == DATA) {
  279. auto tensor_input = op->MutableInputDesc(0);
  280. auto tensor_output = op->MutableOutputDesc(0);
  281. GE_CHECK_NOTNULL(tensor_input);
  282. GE_CHECK_NOTNULL(tensor_output);
  283. string data_op_name = op->GetName();
  284. auto iter = shape_map.find(data_op_name);
  285. if (iter != shape_map.end()) {
  286. tensor_input->SetShape(ge::GeShape(iter->second));
  287. tensor_output->SetShape(ge::GeShape(iter->second));
  288. GELOGD("update input [%s] shape info", data_op_name.c_str());
  289. } else {
  290. GELOGI("no need update input [%s] attr because not found from input_shape.", data_op_name.c_str());
  291. }
  292. }
  293. }
  294. return GRAPH_SUCCESS;
  295. }
  296. graphStatus Impl::CheckOptions(const std::map<std::string, std::string> &options) {
  297. for (auto &ele : options) {
  298. auto it = ge::ir_option::ir_builder_suppported_options.find(ele.first);
  299. if (it == ge::ir_option::ir_builder_suppported_options.end()) {
  300. auto it_lx_fusion = ir_builder_supported_options_for_lx_fusion.find(ele.first);
  301. if (it_lx_fusion == ir_builder_supported_options_for_lx_fusion.end()) {
  302. GELOGE(GRAPH_PARAM_INVALID, "input options include unsupported option(%s).Please check!",
  303. ele.first.c_str());
  304. return GRAPH_PARAM_INVALID;
  305. }
  306. }
  307. options_.insert(ele);
  308. }
  309. // Check options build_mode and build_step.
  310. std::string build_mode;
  311. auto it = options_.find(BUILD_MODE);
  312. if (it != options_.end() && !(it->second.empty())) {
  313. if (build_mode_options.find(it->second) == build_mode_options.end()) {
  314. GELOGE(GRAPH_PARAM_INVALID, "Build mode:%s is unsupported. Please check!", it->second.c_str());
  315. return GRAPH_PARAM_INVALID;
  316. }
  317. build_mode = it->second;
  318. }
  319. it = options_.find(BUILD_STEP);
  320. if (it != options_.end() && !(it->second.empty())) {
  321. if (build_step_options.find(it->second) == build_step_options.end()) {
  322. GELOGE(GRAPH_PARAM_INVALID, "Build step:%s is unsupported. Please check!", it->second.c_str());
  323. return GRAPH_PARAM_INVALID;
  324. }
  325. } else {
  326. if (build_mode == BUILD_MODE_TUNING) {
  327. GELOGE(GRAPH_PARAM_INVALID, "Build mode tuning must specify build step. Please check!");
  328. return GRAPH_PARAM_INVALID;
  329. }
  330. }
  331. // Check option EXEC_DISABLE_REUSED_MEMORY
  332. it = options_.find(ge::ir_option::EXEC_DISABLE_REUSED_MEMORY);
  333. if (it != options_.end() && (CheckDisableReuseMemoryParamValid(it->second) != GRAPH_SUCCESS)) {
  334. return GRAPH_PARAM_INVALID;
  335. }
  336. // Check Input Format
  337. if (options_.find(kInputFormat) != options_.end()) {
  338. return CheckInputFormat(options_[kInputFormat]);
  339. }
  340. return GRAPH_SUCCESS;
  341. }
  342. graphStatus Impl::Init(const Graph &graph, const std::map<std::string, std::string> &options) {
  343. // 1. check options
  344. graphStatus ret = CheckOptions(options);
  345. if (ret != GRAPH_SUCCESS) {
  346. GELOGE(ret, "User input options are illegal! Please check!");
  347. return ret;
  348. }
  349. ret = UpdateDataOpAttr(graph);
  350. if (ret != GRAPH_SUCCESS) {
  351. return ret;
  352. }
  353. std::string build_mode = (options_.find(BUILD_MODE) == options_.end() || options_[BUILD_MODE] == BUILD_MODE_NORMAL)
  354. ? "" : options_[BUILD_MODE];
  355. options_[BUILD_MODE] = build_mode;
  356. // set log level
  357. std::string log = options_.find(ge::ir_option::LOG_LEVEL) == options_.end()
  358. ? IR_OPTION_LOG_LEVEL_DEFAULT
  359. : options_[ge::ir_option::LOG_LEVEL];
  360. GE_CHK_BOOL_RET_STATUS_NOLOG(ge::CheckLogParamValidAndSetLogLevel(log) == 0, GRAPH_PARAM_INVALID);
  361. options_[ge::ir_option::LOG_LEVEL] = log;
  362. string input_shape = options_.find("input_shape") == options_.end() ? "" : options_["input_shape"];
  363. string input_format = options_.find("input_format") == options_.end() ? "" : options_["input_format"];
  364. string net_format = options_.find("net_format") == options_.end() ? "" : options_["net_format"];
  365. string dynamic_batch_size = options_.find(ge::ir_option::DYNAMIC_BATCH_SIZE) == options_.end()
  366. ? ""
  367. : options_[ge::ir_option::DYNAMIC_BATCH_SIZE];
  368. string dynamic_image_size = options_.find(ge::ir_option::DYNAMIC_IMAGE_SIZE) == options_.end()
  369. ? ""
  370. : options_[ge::ir_option::DYNAMIC_IMAGE_SIZE];
  371. string dynamic_dims =
  372. options_.find(ge::ir_option::DYNAMIC_DIMS) == options_.end() ? "" : options_[ge::ir_option::DYNAMIC_DIMS];
  373. auto status = CheckDynamicInputParamValid(dynamic_batch_size, dynamic_image_size, dynamic_dims, input_shape,
  374. input_format, is_dynamic_input_);
  375. if (status != ge::SUCCESS) {
  376. GELOGE(GRAPH_PARAM_INVALID, "Check dynamic input size failed!");
  377. return GRAPH_PARAM_INVALID;
  378. }
  379. GELOGD("User input dynamic_batch_size:%s, dynamic_image_size:%s, dynamic_dims:%s.", dynamic_batch_size.c_str(),
  380. dynamic_image_size.c_str(), dynamic_dims.c_str());
  381. omg_context_.dynamic_batch_size = dynamic_batch_size;
  382. omg_context_.dynamic_image_size = dynamic_image_size;
  383. omg_context_.dynamic_dims = dynamic_dims;
  384. // check output_type
  385. std::string output_type = options_.find(ge::ir_option::OUTPUT_TYPE) == options_.end()
  386. ? ""
  387. : options_[ge::ir_option::OUTPUT_TYPE];
  388. GE_CHK_BOOL_EXEC(ge::CheckOutputTypeParamValid(output_type) == ge::SUCCESS,
  389. return ge::GRAPH_PARAM_INVALID, "check output type failed!");
  390. // check insert_op_conf
  391. std::string insert_op_conf = options_.find(ge::ir_option::INSERT_OP_FILE) == options_.end()
  392. ? ""
  393. : options_[ge::ir_option::INSERT_OP_FILE];
  394. GE_CHK_BOOL_EXEC(ge::CheckInsertOpConfParamValid(std::string(insert_op_conf)) == ge::SUCCESS,
  395. return ge::GRAPH_PARAM_INVALID, "check insert op conf failed!");
  396. GE_CHK_BOOL_EXEC(insert_op_conf.empty() || dynamic_dims.empty(),
  397. return ge::GRAPH_PARAM_INVALID, "dynamic dims function does not support aipp");
  398. // for IR builder.Only support om mode, so here fixed;
  399. options_.insert(std::pair<string, string>(string(IR_OPTION_MODE), to_string(0)));
  400. options_.insert(std::pair<string, string>(string(IR_OPTION_TARGET), "mini"));
  401. options_.insert(std::pair<string, string>(string(ge::RUN_FLAG), to_string(0)));
  402. options_.insert(std::pair<string, string>(string(ge::TRAIN_FLAG), to_string(0)));
  403. options_.insert(std::pair<string, string>(string(ge::SAVE_ORIGINAL_MODEL), to_string(0)));
  404. // print ge option map
  405. ge::PrintOptionMap(options_, "ge option");
  406. SetRtSocVersion();
  407. UpdateThreadContext();
  408. // 3. init generator with options_
  409. ret = generator_.Initialize(options_, omg_context_);
  410. if (ret != GRAPH_SUCCESS) {
  411. GELOGE(ret, "generator Initialize failed!");
  412. return ret;
  413. }
  414. // 4.parse and init Context with input shape format and net format info
  415. return this->InitDomiOmgContext(input_shape, input_format, net_format, is_dynamic_input_);
  416. }
  417. void Impl::SetRtSocVersion() {
  418. const auto &global_options = GetMutableGlobalOptions();
  419. auto it = global_options.find(ge::SOC_VERSION);
  420. if (it != global_options.end()) {
  421. const char *soc_version = it->second.c_str();
  422. rtError_t rt_ret = rtSetSocVersion(soc_version);
  423. if (rt_ret != RT_ERROR_NONE) {
  424. GELOGW("Set soc version %s failed. ret:0x%X", soc_version, rt_ret);
  425. }
  426. GELOGD("Set soc version %s success.", soc_version);
  427. }
  428. }
  429. void Impl::UpdateThreadContext() {
  430. GetThreadLocalContext().SetGlobalOption(GetMutableGlobalOptions());
  431. GetThreadLocalContext().SetGraphOption(options_);
  432. }
  433. graphStatus Impl::CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs) {
  434. auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
  435. GE_CHECK_NOTNULL(compute_graph);
  436. int64_t index = 0;
  437. for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) {
  438. GE_CHECK_NOTNULL(input_node);
  439. ge::OpDescPtr op = input_node->GetOpDesc();
  440. GE_CHECK_NOTNULL(op);
  441. if (op->GetType() == DATA) {
  442. (void)AttrUtils::SetInt(op, ATTR_NAME_INDEX, index++);
  443. GELOGD("Data op inputDesc size: %zu", op->GetAllInputsDesc().size());
  444. ge::GeTensorDesc tensor = op->GetInputDesc(0);
  445. string data_op_name = op->GetName();
  446. GELOGD("Data op name: %s", data_op_name.c_str());
  447. ge::GeShape data_shape;
  448. auto iter = omg_context_.input_dims.find(data_op_name);
  449. if (iter != omg_context_.input_dims.end()) {
  450. data_shape = ge::GeShape(iter->second);
  451. GELOGD("Data op get shape from Context.");
  452. } else {
  453. data_shape = tensor.GetShape();
  454. GELOGD("Data op get shape from InputDesc in ge ir graph.");
  455. }
  456. // If user point input format, do work for all data ops; else do according to tensor_desc
  457. auto data_format = omg_context_.format != domi::DOMI_TENSOR_ND ?
  458. ge::TypeUtils::DomiFormatToFormat(omg_context_.format) : tensor.GetFormat();
  459. ge::DataType data_type = tensor.GetDataType();
  460. string data_type_str = ge::TypeUtils::DataTypeToSerialString(data_type);
  461. GELOGD("Data op get data type:%s from InputDesc in ge ir graph.", data_type_str.c_str());
  462. ge::GeTensor inputTensor;
  463. ge::GeTensorDesc desc(data_shape, ge::Format(data_format), data_type);
  464. inputTensor.SetTensorDesc(desc);
  465. inputs.push_back(inputTensor);
  466. }
  467. }
  468. GELOGD("CreateInputsForIRBuild, inputs size: %zu", inputs.size());
  469. return GRAPH_SUCCESS;
  470. }
  471. graphStatus Impl::BuildModel(const Graph &graph, const std::map<std::string, std::string> &options,
  472. ModelBufferData &model) {
  473. // 1. init GeGenerator with user optios
  474. graphStatus ret = Init(graph, options);
  475. if (ret != GRAPH_SUCCESS) {
  476. GELOGE(ret, "Build ir model Init failed!");
  477. return ret;
  478. }
  479. // 2. construct input
  480. std::vector<GeTensor> inputs;
  481. if (!omg_context_.is_dynamic_input) { // if dynamic input , no need to creat inputs
  482. ret = CreateInputsForIRBuild(graph, inputs);
  483. if (ret != GRAPH_SUCCESS) {
  484. GELOGE(ret, "CreateInputsForIRBuild failed!");
  485. return ret;
  486. }
  487. }
  488. // 3. build IR model
  489. ret = generator_.GenerateOnlineModel(graph, inputs, model);
  490. if (ret != GRAPH_SUCCESS) {
  491. GELOGE(ret, "GenerateOnlineModel failed!");
  492. return ret;
  493. }
  494. return GRAPH_SUCCESS;
  495. }
  496. graphStatus Impl::InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
  497. bool is_dynamic_input) {
  498. // Clear omgcontext data first
  499. omg_context_.input_dims.clear();
  500. omg_context_.user_input_dims.clear();
  501. omg_context_.is_dynamic_input = is_dynamic_input;
  502. // the default value is ND
  503. omg_context_.format = domi::DOMI_TENSOR_ND;
  504. if (!input_format.empty()) {
  505. auto iter = ge::input_format_str_to_geformat.find(input_format);
  506. if (iter != ge::input_format_str_to_geformat.end()) {
  507. omg_context_.format = iter->second;
  508. } else {
  509. GELOGE(GRAPH_PARAM_INVALID, "Input format %s not support , expect ND/NCHW/NHWC/CHWN/NC1HWC0/NHWC1C0.",
  510. input_format.c_str());
  511. return GRAPH_PARAM_INVALID;
  512. }
  513. }
  514. // Input is empty, do not process
  515. if (input_shape.empty()) {
  516. return GRAPH_SUCCESS;
  517. }
  518. if (!ParseInputShape(input_shape, omg_context_.input_dims, omg_context_.user_input_dims, is_dynamic_input)) {
  519. GELOGE(GRAPH_PARAM_INVALID, "Failed to parse input shape: %s", input_shape.c_str());
  520. return GRAPH_PARAM_INVALID;
  521. }
  522. return GRAPH_SUCCESS;
  523. }
  524. graphStatus aclgrphBuildModel(const ge::Graph &graph, const std::map<std::string, std::string> &build_options,
  525. ModelBufferData &model) {
  526. GELOGD("Enter aclmdlBuildModel process!");
  527. Impl builder;
  528. return builder.BuildModel(graph, build_options, model);
  529. }
  530. graphStatus aclgrphBuildModel(const ge::Graph &graph, const std::map<AscendString, AscendString> &build_options,
  531. ModelBufferData &model) {
  532. GELOGD("Enter aclmdlBuildModel process!");
  533. std::map<std::string, std::string> tmp_build_options;
  534. for (auto &option : build_options) {
  535. if (option.first.GetString() == nullptr || option.second.GetString() == nullptr) {
  536. GELOGE(GRAPH_FAILED, "AclgrphBuildInitialize option is nullptr.");
  537. return GRAPH_FAILED;
  538. }
  539. std::string key = option.first.GetString();
  540. std::string val = option.second.GetString();
  541. tmp_build_options[key] = val;
  542. }
  543. Impl builder;
  544. return builder.BuildModel(graph, tmp_build_options, model);
  545. }
  546. graphStatus aclgrphSaveModel(const string &output_file, const ModelBufferData &model) {
  547. GELOGD("Enter aclmdlSaveModel process!");
  548. if (model.data.get() == nullptr || model.length == 0) {
  549. GELOGE(GRAPH_PARAM_INVALID, "input model is illegal");
  550. return GRAPH_PARAM_INVALID;
  551. }
  552. return FileSaver::SaveToFile((output_file + ".om"), reinterpret_cast<void *>(model.data.get()),
  553. static_cast<uint32_t>(model.length));
  554. }
  555. graphStatus aclgrphSaveModel(const char *output_file, const ModelBufferData &model) {
  556. GELOGD("Enter aclmdlSaveModel process!");
  557. if (model.data.get() == nullptr || model.length == 0) {
  558. GELOGE(GRAPH_PARAM_INVALID, "Input model is illegal");
  559. return GRAPH_PARAM_INVALID;
  560. }
  561. if (output_file == nullptr) {
  562. GELOGE(GRAPH_PARAM_INVALID, "Output file is nullptr.");
  563. return GRAPH_PARAM_INVALID;
  564. }
  565. std::string str_output_file = output_file;
  566. return FileSaver::SaveToFile((str_output_file + ".om"), reinterpret_cast<void *>(model.data.get()),
  567. static_cast<uint32_t>(model.length));
  568. }
  569. graphStatus aclgrphGetIRVersion(int *major_version, int *minor_version, int *patch_version) {
  570. GELOGD("Enter aclgrphGetIRVersion process!");
  571. GE_CHECK_NOTNULL(major_version);
  572. GE_CHECK_NOTNULL(minor_version);
  573. GE_CHECK_NOTNULL(patch_version);
  574. *major_version = IR_MAJOR_VERSION;
  575. *minor_version = IR_MINOR_VERSION;
  576. *patch_version = IR_PATCH_VERSION;
  577. return GRAPH_SUCCESS;
  578. }
  579. graphStatus aclgrphDumpGraph(const ge::Graph &graph, const char *file, const size_t len) {
  580. GE_CHECK_NOTNULL(file);
  581. if (len > PATH_MAX || len != strlen(file) || strlen(file) == 0) {
  582. GELOGE(GRAPH_PARAM_INVALID, "File path invalid.");
  583. return GRAPH_PARAM_INVALID;
  584. }
  585. auto compute_graph = GraphUtils::GetComputeGraph(graph);
  586. GE_CHECK_NOTNULL(compute_graph);
  587. string full_path(file, len);
  588. for (size_t i = 0; i < len; i++) {
  589. if (full_path[i] == '\\') {
  590. full_path.replace(i, 1, "/");
  591. }
  592. }
  593. string suffix;
  594. string file_path;
  595. int pos = full_path.rfind("/");
  596. if (pos != -1) {
  597. suffix = full_path.substr(pos + 1, -1);
  598. file_path = full_path.substr(0, pos);
  599. } else {
  600. suffix = full_path;
  601. file_path = "./";
  602. }
  603. if (suffix.empty()) {
  604. suffix = compute_graph->GetName();
  605. if (suffix.empty()) {
  606. suffix = "graph";
  607. }
  608. }
  609. char path[PATH_MAX] = {0};
  610. if (realpath(file_path.c_str(), path) == nullptr) {
  611. GELOGE(GRAPH_PARAM_INVALID, "Dump file path:%s is invalid.", file);
  612. return GRAPH_PARAM_INVALID;
  613. }
  614. GraphUtils::DumpGEGrph(compute_graph, string(path), suffix);
  615. GraphUtils::DumpGrphToOnnx(*compute_graph, string(path), suffix);
  616. uint64_t i = 0;
  617. for (const auto &sub_graph_func : compute_graph->GetAllSubgraphs()) {
  618. auto sub_graph_func_name = suffix + std::string("_sub_graph_") + std::to_string(i++);
  619. GraphUtils::DumpGEGrph(sub_graph_func, string(path), sub_graph_func_name);
  620. GraphUtils::DumpGrphToOnnx(*sub_graph_func, string(path), sub_graph_func_name);
  621. }
  622. return GRAPH_SUCCESS;
  623. }
  624. graphStatus aclgrphGenerateForOp(const AscendString &op_type, const vector<TensorDesc> &inputs,
  625. const vector<TensorDesc> &outputs, Graph &graph) {
  626. auto op_type_str = std::string(op_type.GetString());
  627. auto op_name = op_type_str + "_" + std::to_string(ge::GetCurrentTimestamp());
  628. auto op_desc = ge::MakeShared<ge::OpDesc>(op_name, op_type_str);
  629. GE_CHECK_NOTNULL(op_desc);
  630. // convert input tensordesc to getensor
  631. std::vector<ge::GeTensor> input_tensors;
  632. for (const auto &input : inputs) {
  633. ge::GeTensorDesc tensor_desc(ge::GeShape(input.GetShape().GetDims()), input.GetFormat(), input.GetDataType());
  634. tensor_desc.SetOriginFormat(input.GetFormat());
  635. ge::TensorUtils::SetRealDimCnt(tensor_desc, static_cast<uint32_t>(input.GetShape().GetDims().size()));
  636. ge::TensorUtils::SetInputTensor(tensor_desc, true);
  637. ge::TensorUtils::SetOutputTensor(tensor_desc, false);
  638. if (op_desc->AddInputDesc(tensor_desc) != ge::GRAPH_SUCCESS) {
  639. GELOGE(ge::FAILED, "AddInputDesc fail.");
  640. return ge::FAILED;
  641. }
  642. input_tensors.emplace_back(tensor_desc);
  643. }
  644. // convert output tensordesc to getensor
  645. std::vector<ge::GeTensor> output_tensors;
  646. for (const auto &output : outputs) {
  647. ge::GeTensorDesc tensor_desc(ge::GeShape(output.GetShape().GetDims()), output.GetFormat(), output.GetDataType());
  648. tensor_desc.SetOriginFormat(output.GetFormat());
  649. ge::TensorUtils::SetRealDimCnt(tensor_desc, static_cast<uint32_t>(output.GetShape().GetDims().size()));
  650. ge::TensorUtils::SetInputTensor(tensor_desc, false);
  651. ge::TensorUtils::SetOutputTensor(tensor_desc, true);
  652. (void)op_desc->AddOutputDesc(tensor_desc);
  653. output_tensors.emplace_back(tensor_desc);
  654. }
  655. // call api to get graph
  656. ge::GeGenerator generator;
  657. std::string graph_name = ge::CurrentTimeInStr() + "_graph";
  658. if (generator.BuildSingleOpGraph(op_desc, input_tensors, output_tensors, graph_name, graph) != ge::SUCCESS) {
  659. GELOGE(GRAPH_FAILED, "make graph fail.");
  660. return GRAPH_FAILED;
  661. }
  662. return GRAPH_SUCCESS;
  663. }
  664. static std::string AttrTypeToSerialString(aclgrphAttrType attr_type) {
  665. auto it = kAttrTypeToStringMap.find(attr_type);
  666. if (it != kAttrTypeToStringMap.end()) {
  667. return it->second;
  668. } else {
  669. ErrorManager::GetInstance().ATCReportErrMessage("E19012", {"function", "reason"},
  670. {"AttrTypeToSerialString", "attr_type[" + std::to_string(attr_type) + "] is not support"});
  671. GELOGE(GRAPH_FAILED, "AttrTypeToSerialString: attr_type not support %u", attr_type);
  672. return "UNDEFINED";
  673. }
  674. }
  675. graphStatus aclgrphSetOpAttr(Graph &graph, aclgrphAttrType attr_type, const char *cfg_path) {
  676. auto compute_graph = GraphUtils::GetComputeGraph(graph);
  677. GE_CHECK_NOTNULL(compute_graph);
  678. if (cfg_path == nullptr) {
  679. return GRAPH_SUCCESS;
  680. }
  681. auto iter = kAttrTypeFuncMap.find(attr_type);
  682. if (iter == kAttrTypeFuncMap.end()) {
  683. GELOGE(GRAPH_FAILED, "attr type: %s is not support", AttrTypeToSerialString(attr_type).c_str());
  684. return GRAPH_FAILED;
  685. }
  686. std::string path = cfg_path;
  687. return iter->second(compute_graph, path);
  688. }
  689. } // 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