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single_op_parser.cc 20 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 "single_op_parser.h"
  17. #include <vector>
  18. #include <algorithm>
  19. #include <fstream>
  20. #include <sstream>
  21. #include <nlohmann/json.hpp>
  22. #include "framework/common/debug/ge_log.h"
  23. #include "common/util/error_manager/error_manager.h"
  24. #include "common/ge_inner_error_codes.h"
  25. #include "framework/common/util.h"
  26. #include "graph/utils/tensor_utils.h"
  27. #include "graph/utils/op_desc_utils.h"
  28. #include "graph/operator_factory_impl.h"
  29. using Json = nlohmann::json;
  30. using std::string;
  31. using std::vector;
  32. using std::map;
  33. namespace ge {
  34. namespace {
  35. constexpr char const *kKeyOp = "op";
  36. constexpr char const *kKeyInputDesc = "input_desc";
  37. constexpr char const *kKeyOutputDesc = "output_desc";
  38. constexpr char const *kKeyAttr = "attr";
  39. constexpr char const *kKeyName = "name";
  40. constexpr char const *kKeyType = "type";
  41. constexpr char const *kKeyShape = "shape";
  42. constexpr char const *kKeyShapeRange = "shape_range";
  43. constexpr char const *kKeyValue = "value";
  44. constexpr char const *kKeyFormat = "format";
  45. constexpr char const *kFileSuffix = ".om";
  46. constexpr char const *kKeyDynamicInput = "dynamic_input";
  47. constexpr char const *kKeyDynamicOutput = "dynamic_output";
  48. constexpr int kDumpJsonIndent = 2;
  49. constexpr int kShapeRangePairSize = 2;
  50. constexpr int kShapeRangeLow = 0;
  51. constexpr int kShapeRangeHigh = 1;
  52. constexpr int kMaxFileNameLen = 128;
  53. map<string, GeAttrValue::ValueType> kAttrTypeDict = {
  54. {"bool", GeAttrValue::VT_BOOL},
  55. {"int", GeAttrValue::VT_INT},
  56. {"float", GeAttrValue::VT_FLOAT},
  57. {"string", GeAttrValue::VT_STRING},
  58. {"list_bool", GeAttrValue::VT_LIST_BOOL},
  59. {"list_int", GeAttrValue::VT_LIST_INT},
  60. {"list_float", GeAttrValue::VT_LIST_FLOAT},
  61. {"list_string", GeAttrValue::VT_LIST_STRING},
  62. {"list_list_int", GeAttrValue::VT_LIST_LIST_INT},
  63. {"data_type", GeAttrValue::VT_DATA_TYPE},
  64. };
  65. map<string, DataType> kDataTypeDict = {
  66. {"bool", DT_BOOL},
  67. {"int8", DT_INT8},
  68. {"uint8", DT_UINT8},
  69. {"int16", DT_INT16},
  70. {"uint16", DT_UINT16},
  71. {"int32", DT_INT32},
  72. {"uint32", DT_UINT32},
  73. {"int64", DT_INT64},
  74. {"uint64", DT_UINT64},
  75. {"float16", DT_FLOAT16},
  76. {"half", DT_FLOAT16},
  77. {"fp16", DT_FLOAT16},
  78. {"float", DT_FLOAT},
  79. {"float32", DT_FLOAT},
  80. {"double", DT_DOUBLE},
  81. };
  82. map<string, Format> kFormatDict = {
  83. {"nchw", FORMAT_NCHW},
  84. {"nhwc", FORMAT_NHWC},
  85. {"nd", FORMAT_ND},
  86. {"fractal_nz", FORMAT_FRACTAL_NZ},
  87. {"fractal_z", FORMAT_FRACTAL_Z},
  88. {"nc1hwc0", FORMAT_NC1HWC0},
  89. };
  90. std::string GenerateFileName(const SingleOpDesc &single_op_desc, int index) {
  91. std::stringstream file_name_ss;
  92. file_name_ss << index;
  93. file_name_ss << "_" << single_op_desc.op;
  94. for (auto &desc : single_op_desc.input_desc) {
  95. file_name_ss << "_" << desc.type << "_" << desc.format;
  96. for (auto dim : desc.dims) {
  97. file_name_ss << "_" << dim;
  98. }
  99. }
  100. for (auto &desc : single_op_desc.output_desc) {
  101. file_name_ss << "_" << desc.type << "_" << desc.format;
  102. for (auto dim : desc.dims) {
  103. file_name_ss << "_" << dim;
  104. }
  105. }
  106. std:string file_name = file_name_ss.str();
  107. if (file_name.length() > kMaxFileNameLen) {
  108. GELOGI("Trim file name for it is too long, origin file name = %s", file_name.c_str());
  109. file_name = file_name.substr(0, kMaxFileNameLen);
  110. }
  111. file_name += kFileSuffix;
  112. return file_name;
  113. }
  114. } // namespace
  115. template<typename T>
  116. void SetAttrValue(const Json &j, SingleOpAttr &attr) {
  117. attr.value.SetValue<T>(j.at(kKeyValue).get<T>());
  118. }
  119. template<typename T>
  120. T GetValue(const map<string, T> &dict, string &key, T default_val) {
  121. transform(key.begin(), key.end(), key.begin(), ::tolower);
  122. auto it = dict.find(key);
  123. if (it == dict.end()) {
  124. return default_val;
  125. }
  126. return it->second;
  127. }
  128. void from_json(const Json &j, SingleOpTensorDesc &desc) {
  129. desc.dims = j.at(kKeyShape).get<vector<int64_t>>();
  130. auto it = j.find(kKeyShapeRange);
  131. if (it != j.end()) {
  132. desc.dim_ranges = j.at(kKeyShapeRange).get<vector<std::vector<int64_t>>>();
  133. }
  134. string format_str = j.at(kKeyFormat).get<string>();
  135. string type_str = j.at(kKeyType).get<string>();
  136. desc.format = GetValue(kFormatDict, format_str, FORMAT_RESERVED);
  137. desc.type = GetValue(kDataTypeDict, type_str, DT_UNDEFINED);
  138. auto tensor_name = j.find(kKeyName);
  139. if (tensor_name != j.end()) {
  140. desc.name = tensor_name->get<string>();
  141. }
  142. auto dynamic_input_name = j.find(kKeyDynamicInput);
  143. if (dynamic_input_name != j.end()) {
  144. desc.dynamic_input_name = dynamic_input_name->get<string>();
  145. }
  146. }
  147. void from_json(const Json &j, SingleOpAttr &attr) {
  148. attr.name = j.at(kKeyName).get<string>();
  149. attr.type = j.at(kKeyType).get<string>();
  150. auto it = kAttrTypeDict.find(attr.type);
  151. if (it == kAttrTypeDict.end()) {
  152. GELOGE(UNSUPPORTED, "Parse attr[%s] failed. Unsupported type: %s", attr.name.c_str(), attr.type.c_str());
  153. return;
  154. }
  155. switch (it->second) {
  156. case GeAttrValue::VT_BOOL:
  157. SetAttrValue<bool>(j, attr);
  158. break;
  159. case GeAttrValue::VT_INT:
  160. SetAttrValue<int64_t>(j, attr);
  161. break;
  162. case GeAttrValue::VT_FLOAT:
  163. SetAttrValue<float>(j, attr);
  164. break;
  165. case GeAttrValue::VT_STRING:
  166. SetAttrValue<string>(j, attr);
  167. break;
  168. case GeAttrValue::VT_LIST_BOOL:
  169. SetAttrValue<vector<bool>>(j, attr);
  170. break;
  171. case GeAttrValue::VT_LIST_INT:
  172. SetAttrValue<vector<int64_t>>(j, attr);
  173. break;
  174. case GeAttrValue::VT_LIST_FLOAT:
  175. SetAttrValue<vector<float>>(j, attr);
  176. break;
  177. case GeAttrValue::VT_LIST_STRING:
  178. SetAttrValue<vector<string>>(j, attr);
  179. break;
  180. case GeAttrValue::VT_LIST_LIST_INT:
  181. SetAttrValue<vector<vector<int64_t>>>(j, attr);
  182. break;
  183. case GeAttrValue::VT_DATA_TYPE:
  184. SetAttrValue<DataType>(j, attr);
  185. break;
  186. default:
  187. GELOGE(UNSUPPORTED, "Parse attr[%s] failed. Unsupported type: %s", attr.name.c_str(), attr.type.c_str());
  188. break;
  189. }
  190. }
  191. void from_json(const Json &j, SingleOpDesc &desc) {
  192. desc.op = j.at(kKeyOp).get<string>();
  193. auto input_desc = j.find(kKeyInputDesc);
  194. if (input_desc != j.end()) {
  195. desc.input_desc = input_desc->get<vector<SingleOpTensorDesc>>();
  196. }
  197. auto output_desc = j.find(kKeyOutputDesc);
  198. if (output_desc != j.end()) {
  199. desc.output_desc = output_desc->get<vector<SingleOpTensorDesc>>();
  200. }
  201. auto attr_field = j.find(kKeyAttr);
  202. if (attr_field != j.end()) {
  203. desc.attrs = attr_field->get<vector<SingleOpAttr>>();
  204. }
  205. }
  206. Status SingleOpParser::ReadJsonFile(const std::string &file, Json &json_obj) {
  207. std::string real_path = RealPath(file.c_str());
  208. if (real_path.empty()) {
  209. ErrorManager::GetInstance().ATCReportErrMessage("E10023", {"value"}, {file});
  210. GELOGE(FAILED, "Input parameter[--singleop]'s value[%s] is not a valid path.", file.c_str());
  211. return INTERNAL_ERROR;
  212. }
  213. std::ifstream ifs(real_path);
  214. if (!ifs.is_open()) {
  215. ErrorManager::GetInstance().ATCReportErrMessage("E10024", {"value"}, {file});
  216. GELOGE(FAILED, "Open file[%s] provided in input parameter[--singleop] failed.", file.c_str());
  217. return FAILED;
  218. }
  219. try {
  220. ifs >> json_obj;
  221. } catch (const std::exception &e) {
  222. ErrorManager::GetInstance().ATCReportErrMessage("E10025", {"realpath", "errmsg"}, {real_path, e.what()});
  223. GELOGE(PARAM_INVALID, "Parse file[%s] provided in input parameter[--singleop] failed, exception = %s.",
  224. real_path.c_str(), e.what());
  225. return PARAM_INVALID;
  226. }
  227. ifs.close();
  228. return SUCCESS;
  229. }
  230. bool SingleOpParser::Validate(const SingleOpDesc &op_desc) {
  231. if (op_desc.op.empty()) {
  232. ErrorManager::GetInstance().ATCReportErrMessage("E10026");
  233. GELOGE(PARAM_INVALID, "Op name is empty");
  234. return false;
  235. }
  236. int index = 0;
  237. for (auto &tensor_desc : op_desc.input_desc) {
  238. if ((tensor_desc.type == DT_UNDEFINED && tensor_desc.format != FORMAT_RESERVED) ||
  239. (tensor_desc.type != DT_UNDEFINED && tensor_desc.format == FORMAT_RESERVED)){
  240. ErrorManager::GetInstance().ATCReportErrMessage("E10027", {"input", "type", "index"},
  241. {"intput", "datatype or format", std::to_string(index)});
  242. GELOGE(PARAM_INVALID, "Input's dataType or format is invalid when the index is %d", index);
  243. return false;
  244. }
  245. ++index;
  246. }
  247. index = 0;
  248. for (auto &tensor_desc : op_desc.output_desc) {
  249. if (tensor_desc.type == DT_UNDEFINED) {
  250. ErrorManager::GetInstance().ATCReportErrMessage("E10027", {"input", "type", "index"},
  251. {"output", "datatype", std::to_string(index)});
  252. GELOGE(PARAM_INVALID, "Output's dataType is invalid when the index is %d", index);
  253. return false;
  254. }
  255. if (tensor_desc.format == FORMAT_RESERVED) {
  256. ErrorManager::GetInstance().ATCReportErrMessage("E10027", {"input", "type", "index"},
  257. {"output", "format", std::to_string(index)});
  258. GELOGE(PARAM_INVALID, "Output's format is invalid when the index is %d", index);
  259. return false;
  260. }
  261. ++index;
  262. }
  263. for (auto &attr : op_desc.attrs) {
  264. if (attr.name.empty()) {
  265. ErrorManager::GetInstance().ATCReportErrMessage("E10029");
  266. GELOGE(PARAM_INVALID, "attr name is empty");
  267. return false;
  268. }
  269. if (attr.value.IsEmpty()) {
  270. ErrorManager::GetInstance().ATCReportErrMessage("E10030", {"attrname"}, {attr.name});
  271. GELOGE(PARAM_INVALID, "Parse attr \"%s\" failed. ", attr.name.c_str());
  272. return false;
  273. }
  274. }
  275. return true;
  276. }
  277. std::unique_ptr<OpDesc> SingleOpParser::CreateOpDesc(const string &op_type) {
  278. return std::unique_ptr<OpDesc>(new(std::nothrow) OpDesc(op_type, op_type));
  279. }
  280. Status SingleOpParser::UpdateDynamicTensorName(std::vector<SingleOpTensorDesc> &desc) {
  281. std::map<std::string, int> dynamic_name_map;
  282. for (auto &tensor : desc) {
  283. if (tensor.dynamic_input_name.empty()) {
  284. continue;
  285. }
  286. if (dynamic_name_map.find(tensor.dynamic_input_name) == dynamic_name_map.end()) {
  287. dynamic_name_map[tensor.dynamic_input_name] = 0;
  288. } else {
  289. dynamic_name_map[tensor.dynamic_input_name]++;
  290. }
  291. tensor.name = tensor.dynamic_input_name + std::to_string(dynamic_name_map[tensor.dynamic_input_name]);
  292. }
  293. GELOGD("Update dynamic tensor name success!");
  294. return SUCCESS;
  295. }
  296. Status SingleOpParser::ConvertToBuildParam(int index,
  297. const SingleOpDesc &single_op_desc,
  298. SingleOpBuildParam &build_param) {
  299. auto op_desc = CreateOpDesc(single_op_desc.op);
  300. if (op_desc == nullptr) {
  301. GELOGE(MEMALLOC_FAILED, "Failed to create instance of opDesc");
  302. return MEMALLOC_FAILED;
  303. }
  304. for (auto &desc : single_op_desc.input_desc) {
  305. GeTensorDesc ge_tensor_desc(GeShape(desc.dims),
  306. desc.format,
  307. desc.type);
  308. ge_tensor_desc.SetOriginFormat(desc.format);
  309. GE_CHK_STATUS_RET_NOLOG(SetShapeRange(op_desc->GetName(), desc, ge_tensor_desc));
  310. TensorUtils::SetRealDimCnt(ge_tensor_desc, desc.dims.size());
  311. TensorUtils::SetInputTensor(ge_tensor_desc, true);
  312. TensorUtils::SetOutputTensor(ge_tensor_desc, false);
  313. if (desc.name.empty()) {
  314. op_desc->AddInputDesc(ge_tensor_desc);
  315. } else {
  316. op_desc->AddInputDesc(desc.name, ge_tensor_desc);
  317. }
  318. build_param.inputs.emplace_back(ge_tensor_desc);
  319. }
  320. for (auto &desc : single_op_desc.output_desc) {
  321. GeTensorDesc ge_tensor_desc(GeShape(desc.dims),
  322. desc.format,
  323. desc.type);
  324. ge_tensor_desc.SetOriginFormat(desc.format);
  325. GE_CHK_STATUS_RET_NOLOG(SetShapeRange(op_desc->GetName(), desc, ge_tensor_desc));
  326. TensorUtils::SetRealDimCnt(ge_tensor_desc, desc.dims.size());
  327. TensorUtils::SetInputTensor(ge_tensor_desc, false);
  328. TensorUtils::SetOutputTensor(ge_tensor_desc, true);
  329. if (desc.name.empty()) {
  330. op_desc->AddOutputDesc(ge_tensor_desc);
  331. } else {
  332. op_desc->AddOutputDesc(desc.name, ge_tensor_desc);
  333. }
  334. build_param.outputs.emplace_back(ge_tensor_desc);
  335. }
  336. for (const auto &attr : single_op_desc.attrs) {
  337. op_desc->SetAttr(attr.name, attr.value);
  338. }
  339. if (VerifyOpInputOutputSizeByIr(*op_desc) != SUCCESS) {
  340. GELOGE(PARAM_INVALID, "Verify op [%s] input or output size failed.", op_desc->GetType().c_str());
  341. return PARAM_INVALID;
  342. }
  343. build_param.file_name = GenerateFileName(single_op_desc, index);
  344. build_param.op_desc.reset(op_desc.release());
  345. return SUCCESS;
  346. }
  347. Status SingleOpParser::VerifyOpInputOutputSizeByIr(const OpDesc &current_op_desc) {
  348. ge::Operator operator_ir = ge::OperatorFactory::CreateOperator("tmp_operator", current_op_desc.GetType());
  349. if (!operator_ir.IsEmpty()) {
  350. auto opdesc_ir = ge::OpDescUtils::GetOpDescFromOperator(operator_ir);
  351. GE_CHECK_NOTNULL(opdesc_ir);
  352. size_t current_opdesc_inputs_num = current_op_desc.GetInputsSize();
  353. size_t ir_opdesc_inputs_num = opdesc_ir->GetInputsSize();
  354. if (current_opdesc_inputs_num < ir_opdesc_inputs_num) {
  355. string reason = "is smaller than the ir needed input size " + std::to_string(ir_opdesc_inputs_num);
  356. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  357. {current_op_desc.GetName(), "input size " + std::to_string(current_opdesc_inputs_num), reason});
  358. GELOGE(PARAM_INVALID, "This op [%s] input size %zu is smaller than the ir needed input size %zu",
  359. current_op_desc.GetName().c_str(), current_opdesc_inputs_num, ir_opdesc_inputs_num);
  360. return PARAM_INVALID;
  361. }
  362. size_t current_opdesc_outputs_num = current_op_desc.GetOutputsSize();
  363. size_t ir_opdesc_outputs_num = opdesc_ir->GetOutputsSize();
  364. if (current_opdesc_outputs_num < ir_opdesc_outputs_num) {
  365. string reason = "is smaller than the ir needed output size " + std::to_string(ir_opdesc_outputs_num);
  366. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  367. {current_op_desc.GetName(), "output size " + std::to_string(current_opdesc_outputs_num), reason});
  368. GELOGE(PARAM_INVALID, "This op [%s] output size %zu is smaller than the ir needed output size %zu",
  369. current_op_desc.GetName().c_str(), current_opdesc_outputs_num, ir_opdesc_outputs_num);
  370. return PARAM_INVALID;
  371. }
  372. }
  373. return SUCCESS;
  374. }
  375. Status SingleOpParser::SetShapeRange(const std::string &op_name,
  376. const SingleOpTensorDesc &tensor_desc,
  377. GeTensorDesc &ge_tensor_desc) {
  378. auto num_shape_ranges = tensor_desc.dim_ranges.size();
  379. GELOGD("Number of shape ranges = %zu", num_shape_ranges);
  380. auto it = std::find(tensor_desc.dims.begin(), tensor_desc.dims.end(), ge::UNKNOWN_DIM_NUM);
  381. if (it != tensor_desc.dims.end()) {
  382. if (tensor_desc.dims != ge::UNKNOWN_RANK) {
  383. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  384. {op_name,
  385. "shape",
  386. "has unknown rank but dim size is not one"});
  387. GELOGE(PARAM_INVALID, "Invalid tensor shape: [%s]", ge_tensor_desc.MutableShape().ToString().c_str());
  388. return PARAM_INVALID;
  389. }
  390. if (!tensor_desc.dim_ranges.empty()) {
  391. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  392. {op_name,
  393. "shape range",
  394. "is not needed while the rank the shape is unknown"});
  395. GELOGE(PARAM_INVALID, "Shape range is not needed while the rank the shape is unknown");
  396. return PARAM_INVALID;
  397. }
  398. GELOGD("Shape is unknown rank, do not set shape range");
  399. return SUCCESS;
  400. }
  401. std::vector<std::pair<int64_t, int64_t>> shape_range;
  402. size_t range_index = 0;
  403. for (auto dim : tensor_desc.dims) {
  404. if (dim >= 0) {
  405. shape_range.emplace_back(dim, dim);
  406. GELOGD("Adding shape range: [%ld, %ld]", dim, dim);
  407. } else {
  408. GELOGD("To get shape range by index = %zu", range_index);
  409. if (range_index >= num_shape_ranges) {
  410. string reason = "is smaller than the unknown dim size " + std::to_string(++range_index);
  411. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  412. {op_name,
  413. "shape range size " + std::to_string(num_shape_ranges),
  414. reason});
  415. GELOGE(PARAM_INVALID, "The number of shape_range mismatches that of unknown dims.");
  416. return PARAM_INVALID;
  417. }
  418. auto &range = tensor_desc.dim_ranges[range_index];
  419. if (range.size() != kShapeRangePairSize) {
  420. string reason = "has " + std::to_string(range.size()) + " item(s)";
  421. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  422. {op_name,
  423. "shape range " + std::to_string(range_index),
  424. reason});
  425. GELOGE(PARAM_INVALID, "Invalid shape range entry. index = %zu, size = %zu", range_index, range.size());
  426. return PARAM_INVALID;
  427. }
  428. shape_range.emplace_back(range[kShapeRangeLow], range[kShapeRangeHigh]);
  429. GELOGD("Adding shape range: [%ld, %ld]", range[kShapeRangeLow], range[kShapeRangeHigh]);
  430. ++range_index;
  431. }
  432. }
  433. if (num_shape_ranges != range_index) {
  434. string reason = "is greater than the unknown dim size " + std::to_string(range_index);
  435. ErrorManager::GetInstance().ATCReportErrMessage("E19014", {"opname", "value", "reason"},
  436. {op_name,
  437. "shape range size " + std::to_string(num_shape_ranges),
  438. reason});
  439. GELOGE(PARAM_INVALID,
  440. "The number of shape_range(%zu) mismatches that of unknown dims(%zu).",
  441. num_shape_ranges,
  442. range_index);
  443. return PARAM_INVALID;
  444. }
  445. if (range_index > 0) {
  446. ge_tensor_desc.SetShapeRange(shape_range);
  447. }
  448. return SUCCESS;
  449. }
  450. Status SingleOpParser::ParseSingleOpList(const std::string &file, std::vector<SingleOpBuildParam> &op_list) {
  451. int index = 0;
  452. try {
  453. Json single_op_list_json;
  454. auto ret = ReadJsonFile(file, single_op_list_json);
  455. if (ret != SUCCESS) {
  456. return ret;
  457. }
  458. for (const Json &single_op_json : single_op_list_json) {
  459. SingleOpDesc single_op_desc;
  460. GELOGI("Parsing op[%d], jsonStr = %s", index, single_op_json.dump(kDumpJsonIndent).c_str());
  461. single_op_desc = single_op_json;
  462. if (UpdateDynamicTensorName(single_op_desc.input_desc) != SUCCESS) {
  463. GELOGE(FAILED, "Update dynamic tensor name failed!");
  464. return FAILED;
  465. }
  466. if (!Validate(single_op_desc)) {
  467. GELOGE(PARAM_INVALID, "Validate the index[%d] of op failed when read json file[%s].", index, file.c_str());
  468. return PARAM_INVALID;
  469. }
  470. SingleOpBuildParam param;
  471. ret = ConvertToBuildParam(index, single_op_desc, param);
  472. if (ret != SUCCESS) {
  473. return ret;
  474. }
  475. op_list.emplace_back(param);
  476. GELOGI("Parse the index[%d] of op success", index);
  477. index += 1;
  478. }
  479. } catch (const nlohmann::json::exception &e) {
  480. ErrorManager::GetInstance().ATCReportErrMessage("E10032", {"index", "jsonfile", "exception"},
  481. {std::to_string(index), file, e.what()});
  482. GELOGE(PARAM_INVALID, "Parse the index[%d] of op failed when read json file[%s], exception %s",
  483. index, file.c_str(), e.what());
  484. return PARAM_INVALID;
  485. }
  486. return SUCCESS;
  487. }
  488. } // 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