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