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ge_ir_build.cc 40 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/option_utils.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 kInputShapeRange = "input_shape_range";
  56. const std::string kInputFormat = "input_format";
  57. /**
  58. * @name SetOpAttrFun
  59. * @brief set attribute for operators in the configuration file
  60. * @param graph [IN/OUT] compute graph
  61. * @param cfg_path [IN] the config file path
  62. * @return graphStatus
  63. */
  64. using SetOpAttrFun = graphStatus (*)(ComputeGraphPtr &graph, const std::string &cfg_path);
  65. const std::map<aclgrphAttrType, SetOpAttrFun> kAttrTypeFuncMap = {
  66. {ATTR_TYPE_KEEP_DTYPE, KeepDtypeFunc},
  67. {ATTR_TYPE_WEIGHT_COMPRESS, WeightCompressFunc}
  68. };
  69. const std::map<aclgrphAttrType, std::string> kAttrTypeToStringMap = {
  70. {ATTR_TYPE_KEEP_DTYPE, KEEP_DTYPE_OPTION},
  71. {ATTR_TYPE_WEIGHT_COMPRESS, ge::ir_option::COMPRESS_WEIGHT_CONF}
  72. };
  73. } // namespace
  74. static graphStatus CheckGlobalOptions(std::map<std::string, std::string> &global_options) {
  75. // check param disable_reuse_memory
  76. std::string disable_reuse_memory = global_options.find(ge::ir_option::EXEC_DISABLE_REUSED_MEMORY) ==
  77. global_options.end()
  78. ? IR_OPTION_DISABLE_REUSE_MEMORY_DEFAULT
  79. : global_options[ge::ir_option::EXEC_DISABLE_REUSED_MEMORY];
  80. GE_CHK_BOOL_EXEC(ge::CheckDisableReuseMemoryParamValid(disable_reuse_memory) == ge::SUCCESS,
  81. return ge::GRAPH_PARAM_INVALID, "[Check][DisableReuseMemory] failed!");
  82. global_options[ge::ir_option::EXEC_DISABLE_REUSED_MEMORY] = disable_reuse_memory;
  83. // check buffer_optimize
  84. std::string buffer_optimize = global_options.find(ge::ir_option::BUFFER_OPTIMIZE) == global_options.end()
  85. ? IR_OPTION_BUFFER_OPTIMIZE_DEFAULT
  86. : global_options[ge::ir_option::BUFFER_OPTIMIZE];
  87. GE_CHK_BOOL_EXEC(ge::CheckBufferOptimizeParamValid(buffer_optimize) == ge::SUCCESS,
  88. return ge::GRAPH_PARAM_INVALID, "[Check][BufferOptimize] failed!");
  89. global_options[ge::ir_option::BUFFER_OPTIMIZE] = buffer_optimize;
  90. // check enable_single_stream
  91. std::string enable_single_stream = global_options.find(ge::ir_option::ENABLE_SINGLE_STREAM) == global_options.end()
  92. ? ""
  93. : global_options[ge::ir_option::ENABLE_SINGLE_STREAM];
  94. GE_CHK_BOOL_EXEC(ge::CheckEnableSingleStreamParamValid(enable_single_stream) == ge::SUCCESS,
  95. return ge::GRAPH_PARAM_INVALID, "[Check][EnableSingleStream] failed!");
  96. // check compress_weight
  97. std::string enable_compress_weight = global_options.find(ge::ir_option::ENABLE_COMPRESS_WEIGHT) ==
  98. global_options.end()
  99. ? IR_OPTION_ENABLE_COMPRESS_WEIGHT_DEFAULT
  100. : global_options[ge::ir_option::ENABLE_COMPRESS_WEIGHT];
  101. std::string compress_weight_conf = global_options.find(ge::ir_option::COMPRESS_WEIGHT_CONF) == global_options.end()
  102. ? ""
  103. : global_options[ge::ir_option::COMPRESS_WEIGHT_CONF];
  104. GE_CHK_BOOL_EXEC(ge::CheckCompressWeightParamValid(enable_compress_weight, compress_weight_conf) == ge::SUCCESS,
  105. return ge::GRAPH_PARAM_INVALID, "[Check][CompressWeight] failed!");
  106. global_options[ge::ir_option::ENABLE_COMPRESS_WEIGHT] = (enable_compress_weight == "true") ?
  107. ge::kEnableCompressWeightTrue :
  108. ge::kEnableCompressWeightFalse;
  109. // check optypelist_for_implmode and op_select_implmode
  110. std::string optypelist_for_implmode = global_options.find(ge::ir_option::OPTYPELIST_FOR_IMPLMODE) ==
  111. global_options.end()
  112. ? ""
  113. : global_options[ge::ir_option::OPTYPELIST_FOR_IMPLMODE];
  114. std::string op_select_implmode = global_options.find(ge::ir_option::OP_SELECT_IMPL_MODE) ==
  115. global_options.end()
  116. ? ""
  117. : global_options[ge::ir_option::OP_SELECT_IMPL_MODE];
  118. GE_CHK_BOOL_EXEC(
  119. ge::CheckImplmodeParamValid(optypelist_for_implmode, op_select_implmode) == ge::SUCCESS,
  120. return ge::GRAPH_PARAM_INVALID, "[Check][Implmode] failed!");
  121. global_options[ge::ir_option::OP_SELECT_IMPL_MODE] = op_select_implmode;
  122. // set precision mode default value
  123. std::string precision_mode = global_options.find(ge::ir_option::PRECISION_MODE) ==
  124. global_options.end()
  125. ? "force_fp16"
  126. : global_options[ge::ir_option::PRECISION_MODE];
  127. global_options[ge::ir_option::PRECISION_MODE] = precision_mode;
  128. return GRAPH_SUCCESS;
  129. }
  130. static void GetOpsProtoPath(string &opsproto_path) {
  131. GELOGI("Start to get ops proto path schedule.");
  132. const char *path_env = std::getenv("ASCEND_OPP_PATH");
  133. if (path_env != nullptr) {
  134. string path = path_env;
  135. string file_path = RealPath(path.c_str());
  136. if (file_path.empty()) {
  137. GELOGE(FAILED, "[Check][Path] %s is invalid.", path.c_str());
  138. return;
  139. }
  140. opsproto_path = (path + "/op_proto/custom/" + ":") + (path + "/op_proto/built-in/");
  141. GELOGI("Get opsproto so path from env : %s", path.c_str());
  142. return;
  143. }
  144. string path_base = PluginManager::GetPath();
  145. GELOGI("path_base is %s", path_base.c_str());
  146. path_base = path_base.substr(0, path_base.rfind('/'));
  147. path_base = path_base.substr(0, path_base.rfind('/') + 1);
  148. opsproto_path = (path_base + "ops/op_proto/custom/" + ":") + (path_base + "ops/op_proto/built-in/");
  149. }
  150. static void LoadOpsProto() {
  151. string opsproto_path;
  152. GetOpsProtoPath(opsproto_path);
  153. GELOGI("Get opsproto path is %s", opsproto_path.c_str());
  154. OpsProtoManager *manager = OpsProtoManager::Instance();
  155. map<string, string> option_tmp;
  156. option_tmp.emplace(std::pair<string, string>(string("ge.opsProtoLibPath"), opsproto_path));
  157. (void)manager->Initialize(option_tmp);
  158. }
  159. graphStatus aclgrphBuildInitializeImpl(std::map<std::string, std::string> &global_options) {
  160. GELOGD("Enter aclgrphInitialize start!");
  161. // check global options
  162. if (CheckGlobalOptions(global_options) != GRAPH_SUCCESS) {
  163. GELOGE(GRAPH_PARAM_INVALID, "[Check][Global Options] falied!");
  164. return GRAPH_PARAM_INVALID;
  165. }
  166. // print global option map
  167. ge::PrintOptionMap(global_options, "global option");
  168. LoadOpsProto();
  169. std::shared_ptr<ge::GELib> instance_ptr = ge::GELib::GetInstance();
  170. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  171. GELOGI("aclgrphInitialize start!");
  172. auto ret = ge::GELib::Initialize(global_options);
  173. if (ret != ge::SUCCESS) {
  174. GELOGE(ret, "[Init][GELib] failed!");
  175. return GRAPH_FAILED;
  176. }
  177. }
  178. GELOGW("gelib has been initialized!");
  179. std::string path_base = ge::GELib::GetPath();
  180. int ret = ErrorManager::GetInstance().Init(path_base);
  181. if (ret != 0) {
  182. DOMI_LOGE("ErrorManager init fail !");
  183. return GRAPH_FAILED;
  184. }
  185. return GRAPH_SUCCESS;
  186. }
  187. graphStatus aclgrphBuildInitialize(std::map<std::string, std::string> global_options) {
  188. ErrorManager::GetInstance().SetStage(error_message::kInitialize, error_message::kOther);
  189. return aclgrphBuildInitializeImpl(global_options);
  190. }
  191. graphStatus aclgrphBuildInitialize(std::map<AscendString, AscendString> &global_options) {
  192. ErrorManager::GetInstance().SetStage(error_message::kInitialize, error_message::kOther);
  193. std::map<std::string, std::string> tmp_global_options;
  194. for (auto &option : global_options) {
  195. if (option.first.GetString() == nullptr || option.second.GetString() == nullptr) {
  196. GELOGE(GRAPH_FAILED, "[Check][Options]AclgrphBuildInitialize option is nullptr.");
  197. return GRAPH_FAILED;
  198. }
  199. std::string key = option.first.GetString();
  200. std::string val = option.second.GetString();
  201. tmp_global_options[key] = val;
  202. }
  203. return aclgrphBuildInitializeImpl(tmp_global_options);
  204. }
  205. void aclgrphBuildFinalize() {
  206. ErrorManager::GetInstance().SetStage(error_message::kFinalize, error_message::kFinalize);
  207. if (ge::GELib::GetInstance() != nullptr && ge::GELib::GetInstance()->InitFlag()) {
  208. (void)ge::GELib::GetInstance()->Finalize();
  209. return;
  210. }
  211. GELOGW("[Notice] gelib has not been initialized!do nothing!");
  212. }
  213. class Impl {
  214. public:
  215. Impl() {
  216. omg_context_ = domi::GetContext();
  217. omg_context_.format = domi::DOMI_TENSOR_ND;
  218. omg_context_.input_nodes_format_map.clear();
  219. omg_context_.output_formats.clear();
  220. omg_context_.user_input_dims.clear();
  221. omg_context_.input_dims.clear();
  222. omg_context_.op_conf_map.clear();
  223. omg_context_.out_nodes_map.clear();
  224. omg_context_.user_out_nodes.clear();
  225. omg_context_.net_format = domi::DOMI_TENSOR_RESERVED;
  226. omg_context_.type = domi::FRAMEWORK_RESERVED;
  227. omg_context_.run_mode = ONLY_PRE_CHECK;
  228. omg_context_.train_flag = false;
  229. omg_context_.output_type.clear();
  230. omg_context_.is_dynamic_input = false;
  231. omg_context_.dynamic_batch_size.clear();
  232. omg_context_.dynamic_image_size.clear();
  233. omg_context_.dynamic_dims.clear();
  234. omg_context_.user_attr_index_valid = false;
  235. };
  236. ~Impl() { (void)generator_.Finalize(); };
  237. graphStatus CheckOptions(const std::map<std::string, std::string> &options);
  238. graphStatus CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs);
  239. graphStatus UpdateDataOpAttr(const Graph &graph);
  240. graphStatus CheckDataOpAttrIndexValid(const Graph &graph, const std::string &input_shape_range);
  241. graphStatus Init(const Graph &graph, const std::map<std::string, std::string> &options);
  242. graphStatus BuildModel(const Graph &graph, const std::map<std::string, std::string> &options,
  243. ModelBufferData &ge_models);
  244. graphStatus InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
  245. bool is_dynamic_input);
  246. graphStatus GetInputShapeRange(const string &input_shape_range,
  247. std::map<string, std::vector<std::pair<int64_t, int64_t>>> &name_shape_range_map,
  248. std::vector<std::vector<std::pair<int64_t, int64_t>>> &index_shape_range_map);
  249. static graphStatus InferShapePrepare(const ComputeGraphPtr &compute_graph);
  250. bool GetUsrAttrIndexValidFlag();
  251. bool IsAttrIndexSetByUser(const ComputeGraphPtr &compute_graph, size_t &data_num, vector<int64_t> &attr_index);
  252. void SetRtSocVersion();
  253. void UpdateThreadContext();
  254. void LoadOpsProto();
  255. public:
  256. ge::GeGenerator generator_;
  257. std::map<std::string, std::string> options_;
  258. bool is_dynamic_input_ = false;
  259. OmgContext omg_context_;
  260. };
  261. graphStatus Impl::InferShapePrepare(const ComputeGraphPtr &compute_graph) {
  262. GE_CHECK_NOTNULL(compute_graph);
  263. PassManager prepare_infershape;
  264. prepare_infershape.AddPass("PrepareNetoutput", new(std::nothrow) NetOutputPass);
  265. prepare_infershape.AddPass("PrepareSubGraphReflection", new (std::nothrow) DataPass);
  266. auto ret = prepare_infershape.Run(compute_graph);
  267. if ((ret != SUCCESS) && (ret != NOT_CHANGED)) {
  268. GELOGE(ret, "[Prepair][InferShape] failed, ret:%d", ret);
  269. return ret;
  270. }
  271. GELOGD("Prepair for infershape success!");
  272. return GRAPH_SUCCESS;
  273. }
  274. bool Impl::GetUsrAttrIndexValidFlag() {
  275. return omg_context_.user_attr_index_valid;
  276. }
  277. bool Impl::IsAttrIndexSetByUser(const ComputeGraphPtr &compute_graph,
  278. size_t &data_num,
  279. vector<int64_t> &attr_index) {
  280. bool all_zero_flag = true;
  281. for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) {
  282. GE_CHECK_NOTNULL(input_node);
  283. ge::OpDescPtr op = input_node->GetOpDesc();
  284. GE_CHECK_NOTNULL(op);
  285. if (op->GetType() == DATA) {
  286. data_num++;
  287. GeAttrValue::INT index = 0;
  288. if (AttrUtils::GetInt(op, ATTR_NAME_INDEX, index)) {
  289. if (index != 0) {
  290. all_zero_flag = false;
  291. }
  292. attr_index.push_back(index);
  293. } else {
  294. GELOGW("[Get][AttrIndex] Get index[%ld] failed for op[%s].", index, op->GetName().c_str());
  295. }
  296. }
  297. }
  298. if (data_num > 1 && attr_index.size() == data_num && all_zero_flag) {
  299. GELOGI("Attr indexes are not set by user.");
  300. return false;
  301. }
  302. return true;
  303. }
  304. graphStatus Impl::GetInputShapeRange(const string &input_shape_range,
  305. std::map<string, std::vector<std::pair<int64_t, int64_t>>> &name_shape_range_map,
  306. std::vector<std::vector<std::pair<int64_t, int64_t>>> &index_shape_range_map) {
  307. if (input_shape_range.empty()) {
  308. GELOGI("Input shape range is empty.");
  309. return GRAPH_SUCCESS;
  310. }
  311. Status ret = GRAPH_PARAM_INVALID;
  312. if (input_shape_range.find(":") != string::npos) {
  313. ret = ParseInputShapeRange(input_shape_range, name_shape_range_map);
  314. } else {
  315. ret = ParseInputShapeRange(input_shape_range, index_shape_range_map);
  316. }
  317. if (ret != SUCCESS) {
  318. GELOGE(GRAPH_PARAM_INVALID, "[Parse][InputShapeRange] parse shape range[%s] failed.", input_shape_range.c_str());
  319. return GRAPH_PARAM_INVALID;
  320. }
  321. return GRAPH_SUCCESS;
  322. }
  323. graphStatus Impl::CheckDataOpAttrIndexValid(const Graph &graph, const std::string &input_shape_range) {
  324. auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
  325. GE_CHECK_NOTNULL(compute_graph);
  326. // when set input shape range by index, user must set data attr index, eg. "[1, 3, 3, -1],[1, 3~5, 6, -1]"
  327. bool index_input_shape_range_flag = !input_shape_range.empty() && (input_shape_range.find(":") == string::npos);
  328. size_t data_num = 0;
  329. vector<int64_t> attr_index;
  330. if (!IsAttrIndexSetByUser(compute_graph, data_num, attr_index)) {
  331. if (index_input_shape_range_flag) {
  332. std::string situation = "Data op index";
  333. std::string reason = "it must be set by user, total data op num[" + std::to_string(data_num) + "], "
  334. "when set input shape range by index.";
  335. REPORT_INPUT_ERROR("E19025", std::vector<std::string>({"situation", "reason"}),
  336. std::vector<std::string>({situation, reason}));
  337. GELOGE(GRAPH_FAILED, "[Check][AttrIndex] Data op index is not set, total data op num[%ld], "
  338. "when set input shape range by index.", data_num);
  339. return GRAPH_FAILED;
  340. }
  341. return GRAPH_SUCCESS;
  342. }
  343. omg_context_.user_attr_index_valid = true;
  344. for (size_t i = 0; i < data_num; ++i) {
  345. if (std::find(attr_index.begin(), attr_index.end(), i) == attr_index.end()) {
  346. omg_context_.user_attr_index_valid = false;
  347. if (index_input_shape_range_flag) {
  348. std::string situation = "Data op index[" + std::to_string(i) + "]";
  349. std::string reason = "it must be set by user, total data op num[" + std::to_string(data_num) + "], "
  350. "when set input shape range by index";
  351. REPORT_INPUT_ERROR("E19025", std::vector<std::string>({"situation", "reason"}),
  352. std::vector<std::string>({situation, reason}));
  353. GELOGE(GRAPH_FAILED, "[Check][AttrIndex] Attr index [%ld] is not set, total data op num[%ld], "
  354. "when set input shape range by index", i, data_num);
  355. return GRAPH_FAILED;
  356. } else {
  357. GELOGW("[Check][AttrIndex] Attr index [%ld] is not set, total data op num[%ld].", i, data_num);
  358. }
  359. }
  360. }
  361. GELOGI("Data op attr indexes are set by user and valid.");
  362. return GRAPH_SUCCESS;
  363. }
  364. graphStatus Impl::UpdateDataOpAttr(const Graph &graph) {
  365. GELOGD("Enter Update Data Attr Process!");
  366. std::string input_shape = (options_.find(kInputShape) == options_.end()) ? "" : options_[kInputShape];
  367. std::string input_shape_range = (options_.find(kInputShapeRange) == options_.end()) ? "" : options_[kInputShapeRange];
  368. graphStatus ret = CheckDataOpAttrIndexValid(graph, input_shape_range);
  369. if (ret != GRAPH_SUCCESS) {
  370. GELOGE(GRAPH_FAILED, "[Check][DataOpAttrIndex] fail, shape range[%s].", input_shape_range.c_str());
  371. return GRAPH_FAILED;
  372. }
  373. map<string, vector<int64_t>> shape_map;
  374. vector<pair<string, vector<int64_t>>> user_shape_map;
  375. if (!input_shape.empty()) {
  376. GE_CHK_BOOL_EXEC(ParseInputShape(input_shape, shape_map, user_shape_map, true),
  377. return GRAPH_PARAM_INVALID, "[Parse][InputShape] failed!");
  378. }
  379. std::map<string, std::vector<std::pair<int64_t, int64_t>>> name_shape_range_map;
  380. std::vector<std::vector<std::pair<int64_t, int64_t>>> index_shape_range_map;
  381. auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
  382. GE_CHECK_NOTNULL(compute_graph);
  383. ret = GetInputShapeRange(input_shape_range, name_shape_range_map, index_shape_range_map);
  384. if (ret != GRAPH_SUCCESS) {
  385. GELOGE(GRAPH_FAILED, "[Get][InputShapeRange] fail, shape range[%s].", input_shape_range.c_str());
  386. return GRAPH_FAILED;
  387. }
  388. for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) {
  389. GE_CHECK_NOTNULL(input_node);
  390. ge::OpDescPtr op = input_node->GetOpDesc();
  391. GE_CHECK_NOTNULL(op);
  392. if (op->GetType() == DATA) {
  393. if (UpdateDataOpShape(op, shape_map) != SUCCESS) {
  394. GELOGE(GRAPH_FAILED, "[Update][DataOpShape] fail for op:%s.", op->GetName().c_str());
  395. return GRAPH_FAILED;
  396. }
  397. if (UpdateDataOpShapeRange(op, name_shape_range_map) != SUCCESS) {
  398. GELOGE(GRAPH_FAILED, "[Update][DataOpShapeRange] fail for op:%s.", op->GetName().c_str());
  399. return GRAPH_FAILED;
  400. }
  401. if (UpdateDataOpShapeRange(op, index_shape_range_map) != SUCCESS) {
  402. GELOGE(GRAPH_FAILED, "[Update][DataOpShapeRange] fail for op:%s.", op->GetName().c_str());
  403. return GRAPH_FAILED;
  404. }
  405. }
  406. }
  407. return GRAPH_SUCCESS;
  408. }
  409. graphStatus Impl::CheckOptions(const std::map<std::string, std::string> &options) {
  410. for (auto &ele : options) {
  411. auto it = ge::ir_option::ir_builder_suppported_options.find(ele.first);
  412. if (it == ge::ir_option::ir_builder_suppported_options.end()) {
  413. auto it_lx_fusion = ir_builder_supported_options_for_lx_fusion.find(ele.first);
  414. if (it_lx_fusion == ir_builder_supported_options_for_lx_fusion.end()) {
  415. GELOGE(GRAPH_PARAM_INVALID, "[Check][Options] unsupported option(%s), Please check!",
  416. ele.first.c_str());
  417. return GRAPH_PARAM_INVALID;
  418. }
  419. }
  420. options_.insert(ele);
  421. }
  422. // Check options build_mode and build_step.
  423. std::string build_mode;
  424. auto it = options_.find(BUILD_MODE);
  425. if (it != options_.end() && !(it->second.empty())) {
  426. if (build_mode_options.find(it->second) == build_mode_options.end()) {
  427. GELOGE(GRAPH_PARAM_INVALID, "[Check][BuildMode]:%s is unsupported. Please check!", it->second.c_str());
  428. return GRAPH_PARAM_INVALID;
  429. }
  430. build_mode = it->second;
  431. }
  432. it = options_.find(BUILD_STEP);
  433. if (it != options_.end() && !(it->second.empty())) {
  434. if (build_step_options.find(it->second) == build_step_options.end()) {
  435. GELOGE(GRAPH_PARAM_INVALID, "[Check][BuildStep]:%s is unsupported. Please check!", it->second.c_str());
  436. return GRAPH_PARAM_INVALID;
  437. }
  438. } else {
  439. if (build_mode == BUILD_MODE_TUNING) {
  440. GELOGE(GRAPH_PARAM_INVALID, "[Check][BuildMode] tuning must specify build step. Please check!");
  441. return GRAPH_PARAM_INVALID;
  442. }
  443. }
  444. // Check option EXEC_DISABLE_REUSED_MEMORY
  445. it = options_.find(ge::ir_option::EXEC_DISABLE_REUSED_MEMORY);
  446. if (it != options_.end() && (CheckDisableReuseMemoryParamValid(it->second) != GRAPH_SUCCESS)) {
  447. return GRAPH_PARAM_INVALID;
  448. }
  449. // Check Input Format
  450. if (options_.find(kInputFormat) != options_.end()) {
  451. return CheckInputFormat(options_[kInputFormat]);
  452. }
  453. return GRAPH_SUCCESS;
  454. }
  455. graphStatus Impl::Init(const Graph &graph, const std::map<std::string, std::string> &options) {
  456. // 1. check options
  457. graphStatus ret = CheckOptions(options);
  458. if (ret != GRAPH_SUCCESS) {
  459. GELOGE(ret, "[Check][Options] options are illegal! Please check!");
  460. return ret;
  461. }
  462. ret = UpdateDataOpAttr(graph);
  463. if (ret != GRAPH_SUCCESS) {
  464. return ret;
  465. }
  466. std::string build_mode = (options_.find(BUILD_MODE) == options_.end() || options_[BUILD_MODE] == BUILD_MODE_NORMAL)
  467. ? "" : options_[BUILD_MODE];
  468. options_[BUILD_MODE] = build_mode;
  469. // set log level
  470. std::string log = options_.find(ge::ir_option::LOG_LEVEL) == options_.end()
  471. ? IR_OPTION_LOG_LEVEL_DEFAULT
  472. : options_[ge::ir_option::LOG_LEVEL];
  473. GE_CHK_BOOL_RET_STATUS_NOLOG(ge::CheckLogParamValidAndSetLogLevel(log) == 0, GRAPH_PARAM_INVALID);
  474. options_[ge::ir_option::LOG_LEVEL] = log;
  475. string input_shape = options_.find("input_shape") == options_.end() ? "" : options_["input_shape"];
  476. string input_format = options_.find("input_format") == options_.end() ? "" : options_["input_format"];
  477. string net_format = options_.find("net_format") == options_.end() ? "" : options_["net_format"];
  478. string dynamic_batch_size = options_.find(ge::ir_option::DYNAMIC_BATCH_SIZE) == options_.end()
  479. ? ""
  480. : options_[ge::ir_option::DYNAMIC_BATCH_SIZE];
  481. string dynamic_image_size = options_.find(ge::ir_option::DYNAMIC_IMAGE_SIZE) == options_.end()
  482. ? ""
  483. : options_[ge::ir_option::DYNAMIC_IMAGE_SIZE];
  484. string dynamic_dims =
  485. options_.find(ge::ir_option::DYNAMIC_DIMS) == options_.end() ? "" : options_[ge::ir_option::DYNAMIC_DIMS];
  486. string input_shape_range =
  487. options_.find(ge::INPUT_SHAPE_RANGE) == options_.end() ? "" : options_[ge::INPUT_SHAPE_RANGE];
  488. auto status = CheckDynamicInputParamValid(dynamic_batch_size, dynamic_image_size, dynamic_dims, input_shape,
  489. input_shape_range, input_format, is_dynamic_input_);
  490. if (status != ge::SUCCESS) {
  491. GELOGE(GRAPH_PARAM_INVALID, "[Check][DynamicInput] failed!");
  492. return GRAPH_PARAM_INVALID;
  493. }
  494. GELOGD("User input dynamic_batch_size:%s, dynamic_image_size:%s, dynamic_dims:%s.", dynamic_batch_size.c_str(),
  495. dynamic_image_size.c_str(), dynamic_dims.c_str());
  496. omg_context_.dynamic_batch_size = dynamic_batch_size;
  497. omg_context_.dynamic_image_size = dynamic_image_size;
  498. omg_context_.dynamic_dims = dynamic_dims;
  499. // check output_type
  500. std::string output_type = options_.find(ge::ir_option::OUTPUT_TYPE) == options_.end()
  501. ? ""
  502. : options_[ge::ir_option::OUTPUT_TYPE];
  503. GE_CHK_BOOL_EXEC(ge::CheckOutputTypeParamValid(output_type) == ge::SUCCESS,
  504. return ge::GRAPH_PARAM_INVALID, "[Check][OutputType] failed!");
  505. // check insert_op_conf
  506. std::string insert_op_conf = options_.find(ge::ir_option::INSERT_OP_FILE) == options_.end()
  507. ? ""
  508. : options_[ge::ir_option::INSERT_OP_FILE];
  509. GE_CHK_BOOL_EXEC(ge::CheckInsertOpConfParamValid(std::string(insert_op_conf)) == ge::SUCCESS,
  510. return ge::GRAPH_PARAM_INVALID, "[Check][InsertOpConf] failed!");
  511. GE_CHK_BOOL_EXEC(insert_op_conf.empty() || dynamic_dims.empty(),
  512. return ge::GRAPH_PARAM_INVALID, "[Check][Data]dynamic dims function does not support aipp");
  513. // for IR builder.Only support om mode, so here fixed;
  514. options_.insert(std::pair<string, string>(string(IR_OPTION_MODE), to_string(0)));
  515. options_.insert(std::pair<string, string>(string(IR_OPTION_TARGET), "mini"));
  516. options_.insert(std::pair<string, string>(string(ge::RUN_FLAG), to_string(0)));
  517. options_.insert(std::pair<string, string>(string(ge::TRAIN_FLAG), to_string(0)));
  518. options_.insert(std::pair<string, string>(string(ge::SAVE_ORIGINAL_MODEL), to_string(0)));
  519. // print ge option map
  520. ge::PrintOptionMap(options_, "ge option");
  521. SetRtSocVersion();
  522. UpdateThreadContext();
  523. // 3. init generator with options_
  524. ret = generator_.Initialize(options_, omg_context_);
  525. if (ret != GRAPH_SUCCESS) {
  526. GELOGE(ret, "[Init][Generator]failed!");
  527. return ret;
  528. }
  529. // 4.parse and init Context with input shape format and net format info
  530. return this->InitDomiOmgContext(input_shape, input_format, net_format, is_dynamic_input_);
  531. }
  532. void Impl::SetRtSocVersion() {
  533. const auto &global_options = GetMutableGlobalOptions();
  534. auto it = global_options.find(ge::SOC_VERSION);
  535. if (it != global_options.end()) {
  536. const char *soc_version = it->second.c_str();
  537. rtError_t rt_ret = rtSetSocVersion(soc_version);
  538. if (rt_ret != RT_ERROR_NONE) {
  539. GELOGW("Set soc version %s failed. ret:0x%X", soc_version, rt_ret);
  540. }
  541. GELOGD("Set soc version %s success.", soc_version);
  542. }
  543. }
  544. void Impl::UpdateThreadContext() {
  545. GetThreadLocalContext().SetGlobalOption(GetMutableGlobalOptions());
  546. GetThreadLocalContext().SetGraphOption(options_);
  547. }
  548. graphStatus Impl::CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs) {
  549. auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
  550. GE_CHECK_NOTNULL(compute_graph);
  551. int64_t index = 0;
  552. for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) {
  553. GE_CHECK_NOTNULL(input_node);
  554. ge::OpDescPtr op = input_node->GetOpDesc();
  555. GE_CHECK_NOTNULL(op);
  556. if (op->GetType() == DATA) {
  557. if (!GetUsrAttrIndexValidFlag()) {
  558. (void)AttrUtils::SetInt(op, ATTR_NAME_INDEX, index++);
  559. }
  560. GELOGD("Data op inputDesc size: %zu", op->GetAllInputsDesc().size());
  561. ge::GeTensorDesc tensor = op->GetInputDesc(0);
  562. string data_op_name = op->GetName();
  563. GELOGD("Data op name: %s", data_op_name.c_str());
  564. ge::GeShape data_shape;
  565. auto iter = omg_context_.input_dims.find(data_op_name);
  566. if (iter != omg_context_.input_dims.end()) {
  567. data_shape = ge::GeShape(iter->second);
  568. GELOGD("Data op get shape from Context.");
  569. } else {
  570. data_shape = tensor.GetShape();
  571. GELOGD("Data op get shape from InputDesc in ge ir graph.");
  572. }
  573. // If user point input format, do work for all data ops; else do according to tensor_desc
  574. auto data_format = omg_context_.format != domi::DOMI_TENSOR_ND ?
  575. ge::TypeUtils::DomiFormatToFormat(omg_context_.format) : tensor.GetFormat();
  576. ge::DataType data_type = tensor.GetDataType();
  577. string data_type_str = ge::TypeUtils::DataTypeToSerialString(data_type);
  578. GELOGD("Data op get data type:%s from InputDesc in ge ir graph.", data_type_str.c_str());
  579. std::vector<std::pair<int64_t, int64_t>> shape_range;
  580. if (tensor.GetShapeRange(shape_range) != GRAPH_SUCCESS) {
  581. GELOGE(FAILED, "[Creat][Input] Data op [%s] get shape range failed.", data_op_name.c_str());
  582. return FAILED;
  583. }
  584. ge::GeTensor inputTensor;
  585. ge::GeTensorDesc desc(data_shape, ge::Format(data_format), data_type);
  586. if (desc.SetShapeRange(shape_range) != GRAPH_SUCCESS) {
  587. GELOGE(FAILED, "[Creat][Input] Data op [%s] set shape range failed.", data_op_name.c_str());
  588. return FAILED;
  589. }
  590. inputTensor.SetTensorDesc(desc);
  591. inputs.push_back(inputTensor);
  592. }
  593. }
  594. GELOGD("CreateInputsForIRBuild, inputs size: %zu", inputs.size());
  595. return GRAPH_SUCCESS;
  596. }
  597. graphStatus Impl::BuildModel(const Graph &graph, const std::map<std::string, std::string> &options,
  598. ModelBufferData &model) {
  599. // 1. init GeGenerator with user optios
  600. graphStatus ret = Init(graph, options);
  601. if (ret != GRAPH_SUCCESS) {
  602. GELOGE(ret, "[Init][GeGenerator]Build ir model Init failed!");
  603. return ret;
  604. }
  605. // 2. construct input
  606. std::vector<GeTensor> inputs;
  607. if (!omg_context_.is_dynamic_input) { // if dynamic input , no need to creat inputs
  608. ret = CreateInputsForIRBuild(graph, inputs);
  609. if (ret != GRAPH_SUCCESS) {
  610. GELOGE(ret, "[Create][InputsForIRBuild] failed!");
  611. return ret;
  612. }
  613. }
  614. // 3. build IR model
  615. ret = generator_.GenerateOnlineModel(graph, inputs, model);
  616. if (ret != GRAPH_SUCCESS) {
  617. GELOGE(ret, "[Generate][OnlineModel] failed!");
  618. return ret;
  619. }
  620. return GRAPH_SUCCESS;
  621. }
  622. graphStatus Impl::InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
  623. bool is_dynamic_input) {
  624. // Clear omgcontext data first
  625. omg_context_.input_dims.clear();
  626. omg_context_.user_input_dims.clear();
  627. omg_context_.is_dynamic_input = is_dynamic_input;
  628. // the default value is ND
  629. omg_context_.format = domi::DOMI_TENSOR_ND;
  630. if (!input_format.empty()) {
  631. auto iter = ge::input_format_str_to_geformat.find(input_format);
  632. if (iter != ge::input_format_str_to_geformat.end()) {
  633. omg_context_.format = iter->second;
  634. } else {
  635. GELOGE(GRAPH_PARAM_INVALID,
  636. "[Check][Param:InputForamt] %s not support , expect ND/NCHW/NHWC/CHWN/NC1HWC0/NHWC1C0.",
  637. input_format.c_str());
  638. return GRAPH_PARAM_INVALID;
  639. }
  640. }
  641. // Input is empty, do not process
  642. if (input_shape.empty()) {
  643. return GRAPH_SUCCESS;
  644. }
  645. if (!ParseInputShape(input_shape, omg_context_.input_dims, omg_context_.user_input_dims, is_dynamic_input)) {
  646. GELOGE(GRAPH_PARAM_INVALID, "[Parse][InputShape:InputShape] Failed, shape: %s", input_shape.c_str());
  647. return GRAPH_PARAM_INVALID;
  648. }
  649. return GRAPH_SUCCESS;
  650. }
  651. graphStatus aclgrphBuildModel(const ge::Graph &graph, const std::map<std::string, std::string> &build_options,
  652. ModelBufferData &model) {
  653. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  654. GELOGD("Enter aclmdlBuildModel process!");
  655. Impl builder;
  656. return builder.BuildModel(graph, build_options, model);
  657. }
  658. graphStatus aclgrphBuildModel(const ge::Graph &graph, const std::map<AscendString, AscendString> &build_options,
  659. ModelBufferData &model) {
  660. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  661. GELOGD("Enter aclmdlBuildModel process!");
  662. std::map<std::string, std::string> tmp_build_options;
  663. for (auto &option : build_options) {
  664. if (option.first.GetString() == nullptr || option.second.GetString() == nullptr) {
  665. GELOGE(GRAPH_FAILED, "[Check][Options]AclgrphBuildInitialize option is nullptr.");
  666. return GRAPH_FAILED;
  667. }
  668. std::string key = option.first.GetString();
  669. std::string val = option.second.GetString();
  670. tmp_build_options[key] = val;
  671. }
  672. Impl builder;
  673. return builder.BuildModel(graph, tmp_build_options, model);
  674. }
  675. graphStatus aclgrphSaveModel(const string &output_file, const ModelBufferData &model) {
  676. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  677. GELOGD("Enter aclmdlSaveModel process!");
  678. if (model.data.get() == nullptr || model.length == 0) {
  679. GELOGE(GRAPH_PARAM_INVALID, "[Check][ModelBufferData] model is illegal");
  680. return GRAPH_PARAM_INVALID;
  681. }
  682. return FileSaver::SaveToFile((output_file + ".om"), reinterpret_cast<void *>(model.data.get()),
  683. static_cast<uint32_t>(model.length));
  684. }
  685. graphStatus aclgrphSaveModel(const char *output_file, const ModelBufferData &model) {
  686. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  687. GELOGD("Enter aclmdlSaveModel process!");
  688. if (model.data.get() == nullptr || model.length == 0) {
  689. GELOGE(GRAPH_PARAM_INVALID, "[Check][ModelBufferData]model is illegal");
  690. return GRAPH_PARAM_INVALID;
  691. }
  692. if (output_file == nullptr) {
  693. GELOGE(GRAPH_PARAM_INVALID, "[Check][OutputFile]file is nullptr.");
  694. return GRAPH_PARAM_INVALID;
  695. }
  696. std::string str_output_file = output_file;
  697. return FileSaver::SaveToFile((str_output_file + ".om"), reinterpret_cast<void *>(model.data.get()),
  698. static_cast<uint32_t>(model.length));
  699. }
  700. graphStatus aclgrphGetIRVersion(int *major_version, int *minor_version, int *patch_version) {
  701. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  702. GELOGD("Enter aclgrphGetIRVersion process!");
  703. GE_CHECK_NOTNULL(major_version);
  704. GE_CHECK_NOTNULL(minor_version);
  705. GE_CHECK_NOTNULL(patch_version);
  706. *major_version = IR_MAJOR_VERSION;
  707. *minor_version = IR_MINOR_VERSION;
  708. *patch_version = IR_PATCH_VERSION;
  709. return GRAPH_SUCCESS;
  710. }
  711. graphStatus aclgrphDumpGraph(const ge::Graph &graph, const char *file, const size_t len) {
  712. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  713. GE_CHECK_NOTNULL(file);
  714. if (len > PATH_MAX || len != strlen(file) || strlen(file) == 0) {
  715. GELOGE(GRAPH_PARAM_INVALID, "[Check][FilePath]file invalid.");
  716. return GRAPH_PARAM_INVALID;
  717. }
  718. auto compute_graph = GraphUtils::GetComputeGraph(graph);
  719. GE_CHECK_NOTNULL(compute_graph);
  720. string full_path(file, len);
  721. for (size_t i = 0; i < len; i++) {
  722. if (full_path[i] == '\\') {
  723. full_path.replace(i, 1, "/");
  724. }
  725. }
  726. string suffix;
  727. string file_path;
  728. int pos = full_path.rfind("/");
  729. if (pos != -1) {
  730. suffix = full_path.substr(pos + 1, -1);
  731. file_path = full_path.substr(0, pos);
  732. } else {
  733. suffix = full_path;
  734. file_path = "./";
  735. }
  736. if (suffix.empty()) {
  737. suffix = compute_graph->GetName();
  738. if (suffix.empty()) {
  739. suffix = "graph";
  740. }
  741. }
  742. char path[PATH_MAX] = {0};
  743. if (realpath(file_path.c_str(), path) == nullptr) {
  744. GELOGE(GRAPH_PARAM_INVALID, "[Check][DumpFile] path:%s is invalid.", file);
  745. return GRAPH_PARAM_INVALID;
  746. }
  747. GraphUtils::DumpGEGrph(compute_graph, string(path), suffix);
  748. GraphUtils::DumpGrphToOnnx(*compute_graph, string(path), suffix);
  749. uint64_t i = 0;
  750. for (const auto &sub_graph_func : compute_graph->GetAllSubgraphs()) {
  751. auto sub_graph_func_name = suffix + std::string("_sub_graph_") + std::to_string(i++);
  752. GraphUtils::DumpGEGrph(sub_graph_func, string(path), sub_graph_func_name);
  753. GraphUtils::DumpGrphToOnnx(*sub_graph_func, string(path), sub_graph_func_name);
  754. }
  755. return GRAPH_SUCCESS;
  756. }
  757. graphStatus aclgrphGenerateForOp(const AscendString &op_type, const vector<TensorDesc> &inputs,
  758. const vector<TensorDesc> &outputs, Graph &graph) {
  759. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  760. auto op_type_str = std::string(op_type.GetString());
  761. auto op_name = op_type_str + "_" + std::to_string(ge::GetCurrentTimestamp());
  762. auto op_desc = ge::MakeShared<ge::OpDesc>(op_name, op_type_str);
  763. GE_CHECK_NOTNULL(op_desc);
  764. // convert input tensordesc to getensor
  765. std::vector<ge::GeTensor> input_tensors;
  766. for (const auto &input : inputs) {
  767. ge::GeTensorDesc tensor_desc(ge::GeShape(input.GetShape().GetDims()), input.GetFormat(), input.GetDataType());
  768. tensor_desc.SetOriginFormat(input.GetFormat());
  769. ge::TensorUtils::SetRealDimCnt(tensor_desc, static_cast<uint32_t>(input.GetShape().GetDims().size()));
  770. ge::TensorUtils::SetInputTensor(tensor_desc, true);
  771. ge::TensorUtils::SetOutputTensor(tensor_desc, false);
  772. if (op_desc->AddInputDesc(tensor_desc) != ge::GRAPH_SUCCESS) {
  773. GELOGE(ge::FAILED, "[Add][InputDesc] fail.");
  774. return ge::FAILED;
  775. }
  776. input_tensors.emplace_back(tensor_desc);
  777. }
  778. // convert output tensordesc to getensor
  779. std::vector<ge::GeTensor> output_tensors;
  780. for (const auto &output : outputs) {
  781. ge::GeTensorDesc tensor_desc(ge::GeShape(output.GetShape().GetDims()), output.GetFormat(), output.GetDataType());
  782. tensor_desc.SetOriginFormat(output.GetFormat());
  783. ge::TensorUtils::SetRealDimCnt(tensor_desc, static_cast<uint32_t>(output.GetShape().GetDims().size()));
  784. ge::TensorUtils::SetInputTensor(tensor_desc, false);
  785. ge::TensorUtils::SetOutputTensor(tensor_desc, true);
  786. (void)op_desc->AddOutputDesc(tensor_desc);
  787. output_tensors.emplace_back(tensor_desc);
  788. }
  789. // call api to get graph
  790. ge::GeGenerator generator;
  791. std::string graph_name = ge::CurrentTimeInStr() + "_graph";
  792. if (generator.BuildSingleOpGraph(op_desc, input_tensors, output_tensors, graph_name, graph) != ge::SUCCESS) {
  793. GELOGE(GRAPH_FAILED, "[Make][Graph] fail.");
  794. return GRAPH_FAILED;
  795. }
  796. return GRAPH_SUCCESS;
  797. }
  798. static std::string AttrTypeToSerialString(aclgrphAttrType attr_type) {
  799. auto it = kAttrTypeToStringMap.find(attr_type);
  800. if (it != kAttrTypeToStringMap.end()) {
  801. return it->second;
  802. } else {
  803. REPORT_INNER_ERROR("E19999", "attr_type:%u is not support", attr_type);
  804. GELOGE(GRAPH_FAILED, "[Check][AclgrphAttrType] attr_type not support %u", attr_type);
  805. return "UNDEFINED";
  806. }
  807. }
  808. graphStatus aclgrphSetOpAttr(Graph &graph, aclgrphAttrType attr_type, const char *cfg_path) {
  809. ErrorManager::GetInstance().SetStage(error_message::kModelCompile, error_message::kOther);
  810. auto compute_graph = GraphUtils::GetComputeGraph(graph);
  811. GE_CHECK_NOTNULL(compute_graph);
  812. if (cfg_path == nullptr) {
  813. return GRAPH_SUCCESS;
  814. }
  815. auto iter = kAttrTypeFuncMap.find(attr_type);
  816. if (iter == kAttrTypeFuncMap.end()) {
  817. GELOGE(GRAPH_FAILED, "[Check][AclgrphAttrType]%s is not support", AttrTypeToSerialString(attr_type).c_str());
  818. return GRAPH_FAILED;
  819. }
  820. std::string path = cfg_path;
  821. return iter->second(compute_graph, path);
  822. }
  823. } // 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