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ge_ir_build.cc 23 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 "common/util/error_manager/error_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. } // namespace
  50. static graphStatus CheckGlobalOptions(std::map<std::string, std::string> &global_options) {
  51. // check param disable_reuse_memory
  52. std::string disable_reuse_memory = global_options.find(ge::ir_option::EXEC_DISABLE_REUSED_MEMORY) ==
  53. global_options.end()
  54. ? IR_OPTION_DISABLE_REUSE_MEMORY_DEFAULT
  55. : global_options[ge::ir_option::EXEC_DISABLE_REUSED_MEMORY];
  56. GE_CHK_BOOL_EXEC(ge::CheckDisableReuseMemoryParamValid(disable_reuse_memory) == ge::SUCCESS,
  57. return ge::GRAPH_PARAM_INVALID, "check disable_reuse_memory failed!");
  58. global_options[ge::ir_option::EXEC_DISABLE_REUSED_MEMORY] = disable_reuse_memory;
  59. // check buffer_optimize
  60. std::string buffer_optimize = global_options.find(ge::ir_option::BUFFER_OPTIMIZE) == global_options.end()
  61. ? IR_OPTION_BUFFER_OPTIMIZE_DEFAULT
  62. : global_options[ge::ir_option::BUFFER_OPTIMIZE];
  63. GE_CHK_BOOL_EXEC(ge::CheckBufferOptimizeParamValid(buffer_optimize) == ge::SUCCESS,
  64. return ge::GRAPH_PARAM_INVALID, "check buffer optimize failed!");
  65. global_options[ge::ir_option::BUFFER_OPTIMIZE] = buffer_optimize;
  66. // check enable_single_stream
  67. std::string enable_single_stream = global_options.find(ge::ir_option::ENABLE_SINGLE_STREAM) == global_options.end()
  68. ? ""
  69. : global_options[ge::ir_option::ENABLE_SINGLE_STREAM];
  70. GE_CHK_BOOL_EXEC(ge::CheckEnableSingleStreamParamValid(enable_single_stream) == ge::SUCCESS,
  71. return ge::GRAPH_PARAM_INVALID, "check enable single stream failed!");
  72. // check compress_weight
  73. std::string enable_compress_weight = global_options.find(ge::ir_option::ENABLE_COMPRESS_WEIGHT) ==
  74. global_options.end()
  75. ? IR_OPTION_ENABLE_COMPRESS_WEIGHT_DEFAULT
  76. : global_options[ge::ir_option::ENABLE_COMPRESS_WEIGHT];
  77. std::string compress_weight_conf = global_options.find(ge::ir_option::COMPRESS_WEIGHT_CONF) == global_options.end()
  78. ? ""
  79. : global_options[ge::ir_option::COMPRESS_WEIGHT_CONF];
  80. GE_CHK_BOOL_EXEC(ge::CheckCompressWeightParamValid(enable_compress_weight, compress_weight_conf) == ge::SUCCESS,
  81. return ge::GRAPH_PARAM_INVALID, "check compress weight failed!");
  82. global_options[ge::ir_option::ENABLE_COMPRESS_WEIGHT] = (enable_compress_weight == "true") ?
  83. ge::kEnableCompressWeightTrue :
  84. ge::kEnableCompressWeightFalse;
  85. // check optypelist_for_implmode and op_select_implmode
  86. std::string optypelist_for_implmode = global_options.find(ge::ir_option::OPTYPELIST_FOR_IMPLMODE) ==
  87. global_options.end()
  88. ? ""
  89. : global_options[ge::ir_option::OPTYPELIST_FOR_IMPLMODE];
  90. std::string op_select_implmode = global_options.find(ge::ir_option::OP_SELECT_IMPL_MODE) ==
  91. global_options.end()
  92. ? ""
  93. : global_options[ge::ir_option::OP_SELECT_IMPL_MODE];
  94. GE_CHK_BOOL_EXEC(
  95. ge::CheckImplmodeParamValid(optypelist_for_implmode, op_select_implmode) == ge::SUCCESS,
  96. return ge::GRAPH_PARAM_INVALID, "check optypelist_for_implmode and op_select_implmode failed!");
  97. global_options[ge::ir_option::OP_SELECT_IMPL_MODE] = op_select_implmode;
  98. // set precision mode default value
  99. std::string precision_mode = global_options.find(ge::ir_option::PRECISION_MODE) ==
  100. global_options.end()
  101. ? "force_fp16"
  102. : global_options[ge::ir_option::PRECISION_MODE];
  103. global_options[ge::ir_option::PRECISION_MODE] = precision_mode;
  104. return GRAPH_SUCCESS;
  105. }
  106. graphStatus aclgrphBuildInitialize(std::map<std::string, std::string> global_options) {
  107. GELOGD("Enter aclgrphInitialize start!");
  108. // check global options
  109. if (CheckGlobalOptions(global_options) != GRAPH_SUCCESS) {
  110. GELOGE(GRAPH_PARAM_INVALID, "Check global options falied!");
  111. return GRAPH_PARAM_INVALID;
  112. }
  113. // print global option map
  114. ge::PrintOptionMap(global_options, "global option");
  115. std::shared_ptr<ge::GELib> instance_ptr = ge::GELib::GetInstance();
  116. if (instance_ptr == nullptr || !instance_ptr->InitFlag()) {
  117. GELOGI("aclgrphInitialize start!");
  118. auto ret = ge::GELib::Initialize(global_options);
  119. if (ret != ge::SUCCESS) {
  120. GELOGE(ret, "GE initialize failed!");
  121. return GRAPH_FAILED;
  122. }
  123. }
  124. GELOGW("gelib has been initialized!");
  125. std::string path_base = ge::GELib::GetPath();
  126. int ret = ErrorManager::GetInstance().Init(path_base);
  127. if (ret != 0) {
  128. DOMI_LOGE("ErrorManager init fail !");
  129. return ret;
  130. }
  131. return GRAPH_SUCCESS;
  132. }
  133. void aclgrphBuildFinalize() {
  134. if (ge::GELib::GetInstance() != nullptr && ge::GELib::GetInstance()->InitFlag()) {
  135. (void)ge::GELib::GetInstance()->Finalize();
  136. return;
  137. }
  138. GELOGW("[Notice] gelib has not been initialized!do nothing!");
  139. }
  140. class Impl {
  141. public:
  142. Impl() {
  143. omg_context_ = domi::GetContext();
  144. omg_context_.format = domi::DOMI_TENSOR_ND;
  145. omg_context_.input_nodes_format_map.clear();
  146. omg_context_.output_formats.clear();
  147. omg_context_.user_input_dims.clear();
  148. omg_context_.input_dims.clear();
  149. omg_context_.op_conf_map.clear();
  150. omg_context_.out_nodes_map.clear();
  151. omg_context_.user_out_nodes.clear();
  152. omg_context_.net_format = domi::DOMI_TENSOR_RESERVED;
  153. omg_context_.type = domi::FRAMEWORK_RESERVED;
  154. omg_context_.run_mode = ONLY_PRE_CHECK;
  155. omg_context_.train_flag = false;
  156. omg_context_.output_type.clear();
  157. omg_context_.is_dynamic_input = false;
  158. omg_context_.dynamic_batch_size.clear();
  159. omg_context_.dynamic_image_size.clear();
  160. omg_context_.dynamic_dims.clear();
  161. };
  162. ~Impl() { (void)generator_.Finalize(); };
  163. graphStatus CheckOptions(const std::map<std::string, std::string> &options);
  164. graphStatus CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs);
  165. graphStatus Init(const std::map<std::string, std::string> &options);
  166. graphStatus BuildModel(const Graph &graph, const std::map<std::string, std::string> &options,
  167. ModelBufferData &ge_models);
  168. graphStatus InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
  169. bool is_dynamic_input);
  170. void SetRtSocVersion();
  171. void UpdateThreadContext();
  172. public:
  173. ge::GeGenerator generator_;
  174. std::map<std::string, std::string> options_;
  175. bool is_dynamic_input_ = false;
  176. OmgContext omg_context_;
  177. };
  178. graphStatus Impl::CheckOptions(const std::map<std::string, std::string> &options) {
  179. for (auto &ele : options) {
  180. auto it = ge::ir_option::ir_builder_suppported_options.find(ele.first);
  181. if (it == ge::ir_option::ir_builder_suppported_options.end()) {
  182. auto it_lx_fusion = ir_builder_supported_options_for_lx_fusion.find(ele.first);
  183. if (it_lx_fusion == ir_builder_supported_options_for_lx_fusion.end()) {
  184. GELOGE(GRAPH_PARAM_INVALID, "input options include unsupported option(%s).Please check!",
  185. ele.first.c_str());
  186. return GRAPH_PARAM_INVALID;
  187. }
  188. }
  189. options_.insert(ele);
  190. }
  191. // Check options build_mode and build_step.
  192. std::string build_mode;
  193. auto it = options_.find(BUILD_MODE);
  194. if (it != options_.end() && !(it->second.empty())) {
  195. if (build_mode_options.find(it->second) == build_mode_options.end()) {
  196. GELOGE(GRAPH_PARAM_INVALID, "Build mode:%s is unsupported. Please check!", it->second.c_str());
  197. return GRAPH_PARAM_INVALID;
  198. }
  199. build_mode = it->second;
  200. }
  201. it = options_.find(BUILD_STEP);
  202. if (it != options_.end() && !(it->second.empty())) {
  203. if (build_step_options.find(it->second) == build_step_options.end()) {
  204. GELOGE(GRAPH_PARAM_INVALID, "Build step:%s is unsupported. Please check!", it->second.c_str());
  205. return GRAPH_PARAM_INVALID;
  206. }
  207. } else {
  208. if (build_mode == BUILD_MODE_TUNING) {
  209. GELOGE(GRAPH_PARAM_INVALID, "Build mode tuning must specify build step. Please check!");
  210. return GRAPH_PARAM_INVALID;
  211. }
  212. }
  213. return GRAPH_SUCCESS;
  214. }
  215. graphStatus Impl::Init(const std::map<std::string, std::string> &options) {
  216. // 1. check options
  217. graphStatus ret = CheckOptions(options);
  218. if (ret != GRAPH_SUCCESS) {
  219. GELOGE(ret, "User input options are illegal! Please check!");
  220. return ret;
  221. }
  222. std::string build_mode = (options_.find(BUILD_MODE) == options_.end() || options_[BUILD_MODE] == BUILD_MODE_NORMAL)
  223. ? "" : options_[BUILD_MODE];
  224. options_[BUILD_MODE] = build_mode;
  225. // set log level
  226. std::string log = options_.find(ge::ir_option::LOG_LEVEL) == options_.end()
  227. ? IR_OPTION_LOG_LEVEL_DEFAULT
  228. : options_[ge::ir_option::LOG_LEVEL];
  229. GE_CHK_BOOL_RET_STATUS_NOLOG(ge::CheckLogParamValidAndSetLogLevel(log) == 0, GRAPH_PARAM_INVALID);
  230. options_[ge::ir_option::LOG_LEVEL] = log;
  231. string input_shape = options_.find("input_shape") == options_.end() ? "" : options_["input_shape"];
  232. string input_format = options_.find("input_format") == options_.end() ? "" : options_["input_format"];
  233. string net_format = options_.find("net_format") == options_.end() ? "" : options_["net_format"];
  234. string dynamic_batch_size = options_.find(ge::ir_option::DYNAMIC_BATCH_SIZE) == options_.end()
  235. ? ""
  236. : options_[ge::ir_option::DYNAMIC_BATCH_SIZE];
  237. string dynamic_image_size = options_.find(ge::ir_option::DYNAMIC_IMAGE_SIZE) == options_.end()
  238. ? ""
  239. : options_[ge::ir_option::DYNAMIC_IMAGE_SIZE];
  240. string dynamic_dims =
  241. options_.find(ge::ir_option::DYNAMIC_DIMS) == options_.end() ? "" : options_[ge::ir_option::DYNAMIC_DIMS];
  242. auto status = CheckDynamicInputParamValid(dynamic_batch_size, dynamic_image_size, dynamic_dims, input_shape,
  243. input_format, is_dynamic_input_);
  244. if (status != ge::SUCCESS) {
  245. GELOGE(GRAPH_PARAM_INVALID, "Check dynamic input size failed!");
  246. return GRAPH_PARAM_INVALID;
  247. }
  248. GELOGD("User input dynamic_batch_size:%s, dynamic_image_size:%s, dynamic_dims:%s.", dynamic_batch_size.c_str(),
  249. dynamic_image_size.c_str(), dynamic_dims.c_str());
  250. omg_context_.dynamic_batch_size = dynamic_batch_size;
  251. omg_context_.dynamic_image_size = dynamic_image_size;
  252. omg_context_.dynamic_dims = dynamic_dims;
  253. // check output_type
  254. std::string output_type = options_.find(ge::ir_option::OUTPUT_TYPE) == options_.end()
  255. ? ""
  256. : options_[ge::ir_option::OUTPUT_TYPE];
  257. GE_CHK_BOOL_EXEC(ge::CheckOutputTypeParamValid(output_type) == ge::SUCCESS,
  258. return ge::GRAPH_PARAM_INVALID, "check output type failed!");
  259. // check insert_op_conf
  260. std::string insert_op_conf = options_.find(ge::ir_option::INSERT_OP_FILE) == options_.end()
  261. ? ""
  262. : options_[ge::ir_option::INSERT_OP_FILE];
  263. GE_CHK_BOOL_EXEC(ge::CheckInsertOpConfParamValid(std::string(insert_op_conf)) == ge::SUCCESS,
  264. return ge::GRAPH_PARAM_INVALID, "check insert op conf failed!");
  265. GE_CHK_BOOL_EXEC(insert_op_conf.empty() || dynamic_dims.empty(),
  266. return ge::GRAPH_PARAM_INVALID, "dynamic dims function does not support aipp");
  267. // for IR builder.Only support om mode, so here fixed;
  268. options_.insert(std::pair<string, string>(string(IR_OPTION_MODE), to_string(0)));
  269. options_.insert(std::pair<string, string>(string(IR_OPTION_TARGET), "mini"));
  270. options_.insert(std::pair<string, string>(string(ge::RUN_FLAG), to_string(0)));
  271. options_.insert(std::pair<string, string>(string(ge::TRAIN_FLAG), to_string(0)));
  272. options_.insert(std::pair<string, string>(string(ge::SAVE_ORIGINAL_MODEL), to_string(0)));
  273. // print ge option map
  274. ge::PrintOptionMap(options_, "ge option");
  275. SetRtSocVersion();
  276. UpdateThreadContext();
  277. // 3. init generator with options_
  278. ret = generator_.Initialize(options_, omg_context_);
  279. if (ret != GRAPH_SUCCESS) {
  280. GELOGE(ret, "generator Initialize failed!");
  281. return ret;
  282. }
  283. // 4.parse and init Context with input shape format and net format info
  284. return this->InitDomiOmgContext(input_shape, input_format, net_format, is_dynamic_input_);
  285. }
  286. void Impl::SetRtSocVersion() {
  287. const auto &global_options = GetMutableGlobalOptions();
  288. auto it = global_options.find(ge::SOC_VERSION);
  289. if (it != global_options.end()) {
  290. const char *soc_version = it->second.c_str();
  291. rtError_t rt_ret = rtSetSocVersion(soc_version);
  292. if (rt_ret != RT_ERROR_NONE) {
  293. GELOGW("Set soc version %s failed. ret:0x%X", soc_version, rt_ret);
  294. }
  295. GELOGI("Set soc version %s success.", soc_version);
  296. }
  297. }
  298. void Impl::UpdateThreadContext() {
  299. GetThreadLocalContext().SetGlobalOption(GetMutableGlobalOptions());
  300. GetThreadLocalContext().SetGraphOption(options_);
  301. }
  302. graphStatus Impl::CreateInputsForIRBuild(const ge::Graph &graph, vector<ge::GeTensor> &inputs) {
  303. auto compute_graph = ge::GraphUtils::GetComputeGraph(graph);
  304. GE_CHECK_NOTNULL(compute_graph);
  305. int64_t index = 0;
  306. for (ge::NodePtr &input_node : compute_graph->GetDirectNode()) {
  307. GE_CHECK_NOTNULL(input_node);
  308. ge::OpDescPtr op = input_node->GetOpDesc();
  309. GE_CHECK_NOTNULL(op);
  310. if (op->GetType() == DATA) {
  311. (void)AttrUtils::SetInt(op, ATTR_NAME_INDEX, index++);
  312. GELOGI("Data op inputDesc size: %zu", op->GetAllInputsDesc().size());
  313. ge::GeTensorDesc tensor = op->GetInputDesc(0);
  314. string data_op_name = op->GetName();
  315. GELOGI("Data op name: %s", data_op_name.c_str());
  316. ge::GeShape data_shape;
  317. auto iter = omg_context_.input_dims.find(data_op_name);
  318. if (iter != omg_context_.input_dims.end()) {
  319. data_shape = ge::GeShape(iter->second);
  320. GELOGI("Data op get shape from Context.");
  321. } else {
  322. data_shape = tensor.GetShape();
  323. GELOGI("Data op get shape from InputDesc in ge ir graph.");
  324. }
  325. // If user point input format, do work for all data ops; else do according to tensor_desc
  326. auto data_format = omg_context_.format != domi::DOMI_TENSOR_ND ?
  327. ge::TypeUtils::DomiFormatToFormat(omg_context_.format) : tensor.GetFormat();
  328. ge::DataType data_type = tensor.GetDataType();
  329. string data_type_str = ge::TypeUtils::DataTypeToSerialString(data_type);
  330. GELOGI("Data op get data type:%s from InputDesc in ge ir graph.", data_type_str.c_str());
  331. ge::GeTensor inputTensor;
  332. ge::GeTensorDesc desc(data_shape, ge::Format(data_format), data_type);
  333. inputTensor.SetTensorDesc(desc);
  334. inputs.push_back(inputTensor);
  335. }
  336. }
  337. GELOGD("CreateInputsForIRBuild, inputs size: %zu", inputs.size());
  338. return GRAPH_SUCCESS;
  339. }
  340. graphStatus Impl::BuildModel(const Graph &graph, const std::map<std::string, std::string> &options,
  341. ModelBufferData &model) {
  342. // 1. init GeGenerator with user optios
  343. graphStatus ret = Init(options);
  344. if (ret != GRAPH_SUCCESS) {
  345. GELOGE(ret, "Build ir model Init failed!");
  346. return ret;
  347. }
  348. // 2. construct input
  349. std::vector<GeTensor> inputs;
  350. if (!omg_context_.is_dynamic_input) { // if dynamic input , no need to creat inputs
  351. ret = CreateInputsForIRBuild(graph, inputs);
  352. if (ret != GRAPH_SUCCESS) {
  353. GELOGE(ret, "CreateInputsForIRBuild failed!");
  354. return ret;
  355. }
  356. }
  357. // 3. build IR model
  358. ret = generator_.GenerateOnlineModel(graph, inputs, model);
  359. if (ret != GRAPH_SUCCESS) {
  360. GELOGE(ret, "GenerateOnlineModel failed!");
  361. return ret;
  362. }
  363. return GRAPH_SUCCESS;
  364. }
  365. graphStatus Impl::InitDomiOmgContext(const string &input_shape, const string &input_format, const string &net_format,
  366. bool is_dynamic_input) {
  367. // Clear omgcontext data first
  368. omg_context_.input_dims.clear();
  369. omg_context_.user_input_dims.clear();
  370. omg_context_.is_dynamic_input = is_dynamic_input;
  371. // the default value is ND
  372. omg_context_.format = domi::DOMI_TENSOR_ND;
  373. if (!input_format.empty()) {
  374. auto iter = ge::input_format_str_to_geformat.find(input_format);
  375. if (iter != ge::input_format_str_to_geformat.end()) {
  376. omg_context_.format = iter->second;
  377. } else {
  378. GELOGE(GRAPH_PARAM_INVALID, "Input format %s not support , expect ND/NCHW/NHWC/CHWN/NC1HWC0/NHWC1C0.",
  379. input_format.c_str());
  380. return GRAPH_PARAM_INVALID;
  381. }
  382. }
  383. // Input is empty, do not process
  384. if (input_shape.empty()) {
  385. return GRAPH_SUCCESS;
  386. }
  387. if (!ParseInputShape(input_shape, omg_context_.input_dims, omg_context_.user_input_dims, is_dynamic_input)) {
  388. GELOGE(GRAPH_PARAM_INVALID, "Failed to parse input shape: %s", input_shape.c_str());
  389. return GRAPH_PARAM_INVALID;
  390. }
  391. return GRAPH_SUCCESS;
  392. }
  393. graphStatus aclgrphBuildModel(const ge::Graph &graph, const std::map<std::string, std::string> &build_options,
  394. ModelBufferData &model) {
  395. GELOGD("Enter aclmdlBuildModel process!");
  396. Impl builder;
  397. return builder.BuildModel(graph, build_options, model);
  398. }
  399. graphStatus aclgrphSaveModel(const string &output_file, const ModelBufferData &model) {
  400. GELOGD("Enter aclmdlSaveModel process!");
  401. if (model.data.get() == nullptr || model.length == 0) {
  402. GELOGE(GRAPH_PARAM_INVALID, "input model is illegal");
  403. return GRAPH_PARAM_INVALID;
  404. }
  405. return FileSaver::SaveToFile((output_file + ".om"), reinterpret_cast<void*>(model.data.get()),
  406. static_cast<uint32_t>(model.length));
  407. }
  408. graphStatus aclgrphGetIRVersion(int *major_version, int *minor_version, int *patch_version) {
  409. GELOGD("Enter aclgrphGetIRVersion process!");
  410. GE_CHECK_NOTNULL(major_version);
  411. GE_CHECK_NOTNULL(minor_version);
  412. GE_CHECK_NOTNULL(patch_version);
  413. *major_version = IR_MAJOR_VERSION;
  414. *minor_version = IR_MINOR_VERSION;
  415. *patch_version = IR_PATCH_VERSION;
  416. return GRAPH_SUCCESS;
  417. }
  418. graphStatus aclgrphInferShapeAndType(ge::Graph &graph) {
  419. auto compute_graph = GraphUtils::GetComputeGraph(graph);
  420. GE_CHECK_NOTNULL(compute_graph);
  421. auto ret = compute_graph->InferOriginFormat();
  422. if (ret != GRAPH_SUCCESS) {
  423. GELOGE(ret, "Acl InferOriginFormat failed.");
  424. return ret;
  425. }
  426. for (auto &node: compute_graph->GetAllNodes()) {
  427. graphStatus ret = ShapeRefiner::InferShapeAndType(node);
  428. if (ret == GRAPH_PARAM_INVALID) {
  429. GELOGW("Can not find infershape func.");
  430. continue;
  431. } else if (ret != GRAPH_SUCCESS) {
  432. GELOGE(ret, "Acl infershape failed.");
  433. return ret;
  434. }
  435. }
  436. return GRAPH_SUCCESS;
  437. }
  438. graphStatus aclgrphDumpGraph(const ge::Graph &graph, const char *file, const size_t len) {
  439. GE_CHECK_NOTNULL(file);
  440. if (len > PATH_MAX || len != strlen(file) || strlen(file) == 0) {
  441. GELOGE(GRAPH_PARAM_INVALID, "File path invalid.");
  442. return GRAPH_PARAM_INVALID;
  443. }
  444. auto compute_graph = GraphUtils::GetComputeGraph(graph);
  445. GE_CHECK_NOTNULL(compute_graph);
  446. string full_path(file, len);
  447. for (size_t i = 0; i < len; i++) {
  448. if (full_path[i] == '\\') {
  449. full_path.replace(i, 1, "/");
  450. }
  451. }
  452. string suffix;
  453. string file_path;
  454. int pos = full_path.rfind("/");
  455. if (pos != -1) {
  456. suffix = full_path.substr(pos + 1, -1);
  457. file_path = full_path.substr(0, pos);
  458. } else {
  459. suffix = full_path;
  460. file_path = "./";
  461. }
  462. if (suffix.empty()) {
  463. suffix = compute_graph->GetName();
  464. if (suffix.empty()) {
  465. suffix = "graph";
  466. }
  467. }
  468. char path[PATH_MAX] = {0};
  469. if (realpath(file_path.c_str(), path) == nullptr) {
  470. GELOGE(GRAPH_PARAM_INVALID, "Dump file path:%s is invalid.", file);
  471. return GRAPH_PARAM_INVALID;
  472. }
  473. GraphUtils::DumpGEGrph(compute_graph, string(path), suffix);
  474. GraphUtils::DumpGrphToOnnx(*compute_graph, string(path), suffix);
  475. uint64_t i = 0;
  476. for (const auto &sub_graph_func : compute_graph->GetAllSubgraphs()) {
  477. auto sub_graph_func_name = suffix + std::string("_sub_graph_") + std::to_string(i++);
  478. GraphUtils::DumpGEGrph(sub_graph_func, string(path), sub_graph_func_name);
  479. GraphUtils::DumpGrphToOnnx(*sub_graph_func, string(path), sub_graph_func_name);
  480. }
  481. return GRAPH_SUCCESS;
  482. }
  483. } // 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