You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

data_dumper.cc 40 kB

5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
5 years ago
5 years ago
5 years ago
4 years ago
5 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
4 years ago
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895896897898899900901902903904905906907908909910911912913914915916917918919920921922923924925926927928929930931932933934935936937938939940941942943944945946947948949950951952953954955
  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 "graph/load/new_model_manager/data_dumper.h"
  17. #include <sys/time.h>
  18. #include <cstdlib>
  19. #include <ctime>
  20. #include <map>
  21. #include <utility>
  22. #include <vector>
  23. #include "common/debug/memory_dumper.h"
  24. #include "common/properties_manager.h"
  25. #include "common/util.h"
  26. #include "framework/common/debug/ge_log.h"
  27. #include "framework/common/util.h"
  28. #include "graph/anchor.h"
  29. #include "graph/debug/ge_attr_define.h"
  30. #include "graph/load/new_model_manager/model_utils.h"
  31. #include "graph/manager/util/debug.h"
  32. #include "graph/utils/attr_utils.h"
  33. #include "graph/utils/tensor_utils.h"
  34. #include "proto/dump_task.pb.h"
  35. #include "proto/ge_ir.pb.h"
  36. #include "proto/op_mapping_info.pb.h"
  37. #include "runtime/base.h"
  38. #include "runtime/mem.h"
  39. namespace {
  40. const uint32_t kAicpuLoadFlag = 1;
  41. const uint32_t kAicpuUnloadFlag = 0;
  42. const int64_t kOpDebugSize = 2048;
  43. const int64_t kOpDebugShape = 2048;
  44. const int8_t kDecimal = 10;
  45. const uint32_t kAddrLen = sizeof(void *);
  46. const char *const kDumpOutput = "output";
  47. const char *const kDumpInput = "input";
  48. const char *const kDumpAll = "all";
  49. // parse for format like nodename:input:index
  50. static bool ParseNameIndex(const std::string &node_name_index, std::string &node_name, std::string &input_or_output,
  51. size_t &index) {
  52. auto sep = node_name_index.rfind(':');
  53. if (sep == std::string::npos) {
  54. return false;
  55. }
  56. auto index_str = node_name_index.substr(sep + 1);
  57. index = static_cast<size_t>(std::strtol(index_str.c_str(), nullptr, kDecimal));
  58. auto node_name_without_index = node_name_index.substr(0, sep);
  59. sep = node_name_without_index.rfind(':');
  60. if (sep == std::string::npos) {
  61. return false;
  62. }
  63. node_name = node_name_without_index.substr(0, sep);
  64. input_or_output = node_name_without_index.substr(sep + 1);
  65. return !(input_or_output != kDumpInput && input_or_output != kDumpOutput);
  66. }
  67. static bool IsTensorDescWithSkipDumpAddrType(bool has_mem_type_attr, vector<int64_t> v_memory_type, size_t i) {
  68. return has_mem_type_attr && (v_memory_type[i] == RT_MEMORY_L1);
  69. }
  70. static uint64_t GetNowTime() {
  71. uint64_t ret = 0;
  72. struct timeval tv;
  73. if (gettimeofday(&tv, NULL) == 0) {
  74. ret = tv.tv_sec * 1000000ULL + tv.tv_usec;
  75. }
  76. return ret;
  77. }
  78. static void ReplaceStringElem(std::string &str) {
  79. for_each(str.begin(), str.end(), [](char &ch) {
  80. if ((ch == ' ') || (ch == '.') || (ch == '/') || (ch == '\\')) {
  81. ch = '_';
  82. }
  83. });
  84. }
  85. } // namespace
  86. static int32_t GetIrDataType(ge::DataType data_type) {
  87. static const std::map<ge::DataType, ge::proto::DataType> data_type_map = {
  88. {ge::DT_UNDEFINED, ge::proto::DT_UNDEFINED},
  89. {ge::DT_FLOAT, ge::proto::DT_FLOAT},
  90. {ge::DT_FLOAT16, ge::proto::DT_FLOAT16},
  91. {ge::DT_INT8, ge::proto::DT_INT8},
  92. {ge::DT_UINT8, ge::proto::DT_UINT8},
  93. {ge::DT_INT16, ge::proto::DT_INT16},
  94. {ge::DT_UINT16, ge::proto::DT_UINT16},
  95. {ge::DT_INT32, ge::proto::DT_INT32},
  96. {ge::DT_INT64, ge::proto::DT_INT64},
  97. {ge::DT_UINT32, ge::proto::DT_UINT32},
  98. {ge::DT_UINT64, ge::proto::DT_UINT64},
  99. {ge::DT_BOOL, ge::proto::DT_BOOL},
  100. {ge::DT_DOUBLE, ge::proto::DT_DOUBLE},
  101. {ge::DT_DUAL, ge::proto::DT_DUAL},
  102. {ge::DT_DUAL_SUB_INT8, ge::proto::DT_DUAL_SUB_INT8},
  103. {ge::DT_DUAL_SUB_UINT8, ge::proto::DT_DUAL_SUB_UINT8},
  104. {ge::DT_COMPLEX64, ge::proto::DT_COMPLEX64},
  105. {ge::DT_COMPLEX128, ge::proto::DT_COMPLEX128},
  106. {ge::DT_QINT8, ge::proto::DT_QINT8},
  107. {ge::DT_QINT16, ge::proto::DT_QINT16},
  108. {ge::DT_QINT32, ge::proto::DT_QINT32},
  109. {ge::DT_QUINT8, ge::proto::DT_QUINT8},
  110. {ge::DT_QUINT16, ge::proto::DT_QUINT16},
  111. {ge::DT_RESOURCE, ge::proto::DT_RESOURCE},
  112. {ge::DT_STRING_REF, ge::proto::DT_STRING_REF},
  113. {ge::DT_STRING, ge::proto::DT_STRING},
  114. };
  115. auto iter = data_type_map.find(data_type);
  116. if (iter == data_type_map.end()) {
  117. return static_cast<int32_t>(ge::proto::DT_UNDEFINED);
  118. }
  119. return static_cast<int32_t>(iter->second);
  120. }
  121. namespace ge {
  122. DataDumper::~DataDumper() {
  123. ReleaseDevMem(&dev_mem_load_);
  124. ReleaseDevMem(&dev_mem_unload_);
  125. }
  126. void DataDumper::ReleaseDevMem(void **ptr) noexcept {
  127. if (ptr == nullptr) {
  128. return;
  129. }
  130. if (*ptr != nullptr) {
  131. rtError_t rt_ret = rtFree(*ptr);
  132. if (rt_ret != RT_ERROR_NONE) {
  133. GELOGE(RT_FAILED, "Call rtFree failed, ret: 0x%X", rt_ret);
  134. }
  135. *ptr = nullptr;
  136. }
  137. }
  138. void DataDumper::SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond) {
  139. global_step_ = reinterpret_cast<uintptr_t>(global_step);
  140. loop_per_iter_ = reinterpret_cast<uintptr_t>(loop_per_iter);
  141. loop_cond_ = reinterpret_cast<uintptr_t>(loop_cond);
  142. }
  143. void DataDumper::SaveDumpInput(const std::shared_ptr<Node> &node) {
  144. if (node != nullptr) {
  145. auto input_op_desc = node->GetOpDesc();
  146. if (input_op_desc == nullptr) {
  147. GELOGE(PARAM_INVALID, "input op desc is null.");
  148. return;
  149. }
  150. for (auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  151. for (auto &dst_in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) {
  152. ge::NodePtr dst_node = dst_in_data_anchor->GetOwnerNode();
  153. auto op_desc = dst_node->GetOpDesc();
  154. if (op_desc == nullptr) {
  155. GELOGE(PARAM_INVALID, "input op desc is null.");
  156. return;
  157. }
  158. input_map_.insert(
  159. {op_desc->GetName(), {input_op_desc, dst_in_data_anchor->GetIdx(), out_data_anchor->GetIdx()}});
  160. }
  161. }
  162. }
  163. }
  164. void DataDumper::SaveEndGraphId(uint32_t task_id, uint32_t stream_id) {
  165. end_graph_task_id_ = task_id;
  166. end_graph_stream_id_ = stream_id;
  167. }
  168. void DataDumper::SaveOpDebugId(uint32_t task_id, uint32_t stream_id, void *op_debug_addr, bool is_op_debug) {
  169. op_debug_task_id_ = task_id;
  170. op_debug_stream_id_ = stream_id;
  171. op_debug_addr_ = op_debug_addr;
  172. is_op_debug_ = is_op_debug;
  173. }
  174. void DataDumper::SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, uint32_t task_id,
  175. uint32_t stream_id) {
  176. GELOGD("Start SaveDumpOpInfo of task_id: %u, stream_id: %u", task_id, stream_id);
  177. OpDescInfo op_desc_info;
  178. op_desc_info.op_name = op->GetName();
  179. op_desc_info.op_type = op->GetType();
  180. op_desc_info.task_id = task_id;
  181. op_desc_info.stream_id = stream_id;
  182. for (size_t i = 0; i < op->GetAllInputsSize(); ++i) {
  183. GeTensorDescPtr input_tensor_desc = op->MutableInputDesc(i);
  184. if (input_tensor_desc == nullptr) {
  185. continue;
  186. }
  187. op_desc_info.input_format.emplace_back(input_tensor_desc->GetFormat());
  188. op_desc_info.input_shape.emplace_back(input_tensor_desc->GetShape().GetDims());
  189. op_desc_info.input_data_type.emplace_back(input_tensor_desc->GetDataType());
  190. int64_t input_size = 0;
  191. if (TensorUtils::GetTensorSizeInBytes(*input_tensor_desc, input_size) != SUCCESS) {
  192. GELOGW("Get input size failed");
  193. return;
  194. }
  195. GELOGD("Save dump op info, the input size is %ld", input_size);
  196. op_desc_info.input_size.emplace_back(input_size);
  197. }
  198. for (size_t j = 0; j < op->GetOutputsSize(); ++j) {
  199. GeTensorDescPtr output_tensor_desc = op->MutableOutputDesc(j);
  200. if (output_tensor_desc == nullptr) {
  201. continue;
  202. }
  203. op_desc_info.output_format.emplace_back(output_tensor_desc->GetFormat());
  204. op_desc_info.output_shape.emplace_back(output_tensor_desc->GetShape().GetDims());
  205. op_desc_info.output_data_type.emplace_back(output_tensor_desc->GetDataType());
  206. int64_t output_size = 0;
  207. if (TensorUtils::GetTensorSizeInBytes(*output_tensor_desc, output_size) != SUCCESS) {
  208. GELOGW("Get input size failed");
  209. return;
  210. }
  211. GELOGD("Save dump op info, the output size is %ld", output_size);
  212. op_desc_info.output_size.emplace_back(output_size);
  213. }
  214. op_desc_info.input_addrs = ModelUtils::GetInputDataAddrs(model_param, op);
  215. op_desc_info.output_addrs = ModelUtils::GetOutputDataAddrs(model_param, op);
  216. op_desc_info_.emplace_back(op_desc_info);
  217. }
  218. bool DataDumper::GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const {
  219. GELOGI("There are %zu op need to dump.", op_desc_info_.size());
  220. for (size_t index = 0; index < op_desc_info_.size(); ++index) {
  221. OpDescInfo dump_op_info = op_desc_info_.at(index);
  222. if (dump_op_info.task_id == task_id && dump_op_info.stream_id == stream_id) {
  223. GELOGI("find exception op of task_id: %u, stream_id: %u.", task_id, stream_id);
  224. op_desc_info = dump_op_info;
  225. return true;
  226. }
  227. }
  228. return false;
  229. }
  230. void DataDumper::SaveDumpTask(uint32_t task_id, uint32_t stream_id, const std::shared_ptr<OpDesc> &op_desc,
  231. uintptr_t args) {
  232. if (op_desc == nullptr) {
  233. GELOGE(PARAM_INVALID, "Opdesc is nullptr");
  234. return;
  235. }
  236. GELOGI("Save dump task %s, task id: %u, stream id: %u", op_desc->GetName().c_str(), task_id, stream_id);
  237. op_list_.push_back({task_id, stream_id, op_desc, args, true});
  238. for (auto iter = input_map_.equal_range(op_desc->GetName()); iter.first != iter.second; ++iter.first) {
  239. InnerInputMapping &inner_input_mapping = iter.first->second;
  240. auto &data_op = inner_input_mapping.data_op;
  241. if (data_op == nullptr) {
  242. GELOGE(PARAM_INVALID, "data_op is null.");
  243. return;
  244. }
  245. auto input_tensor = op_desc->GetInputDescPtr(inner_input_mapping.input_anchor_index);
  246. if (input_tensor == nullptr) {
  247. GELOGE(PARAM_INVALID, "input_tensor is null, index: %d, size: %zu.", inner_input_mapping.input_anchor_index,
  248. op_desc->GetInputsSize());
  249. return;
  250. }
  251. int64_t data_size = 0;
  252. if (AttrUtils::GetInt(input_tensor, ATTR_NAME_INPUT_ORIGIN_SIZE, data_size)) {
  253. GELOGI("Get aipp data size according to attr is %ld", data_size);
  254. } else if (TensorUtils::GetTensorSizeInBytes(*input_tensor, data_size) != SUCCESS) {
  255. GELOGE(PARAM_INVALID, "Get input size filed");
  256. return;
  257. }
  258. GELOGI("Save input dump task %s, id: %u,stream id :%u,data size :%ld", data_op->GetName().c_str(), task_id,
  259. stream_id, data_size);
  260. op_list_.push_back({task_id, stream_id, data_op, args, false, inner_input_mapping.input_anchor_index,
  261. inner_input_mapping.output_anchor_index, input_tensor->GetShape().GetDims(), data_size});
  262. }
  263. }
  264. static void SetOpMappingLoopAddr(uintptr_t step_id, uintptr_t loop_per_iter, uintptr_t loop_cond,
  265. aicpu::dump::OpMappingInfo &op_mapping_info) {
  266. if (step_id != 0) {
  267. GELOGI("step_id exists.");
  268. op_mapping_info.set_step_id_addr(static_cast<uint64_t>(step_id));
  269. }
  270. if (loop_per_iter != 0) {
  271. GELOGI("loop_per_iter exists.");
  272. op_mapping_info.set_iterations_per_loop_addr(static_cast<uint64_t>(loop_per_iter));
  273. }
  274. if (loop_cond != 0) {
  275. GELOGI("loop_cond exists.");
  276. op_mapping_info.set_loop_cond_addr(static_cast<uint64_t>(loop_cond));
  277. }
  278. }
  279. Status DataDumper::GenerateOutput(aicpu::dump::Output &output, const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  280. const uintptr_t &addr, size_t index) {
  281. output.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  282. output.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  283. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  284. output.mutable_shape()->add_dim(dim);
  285. }
  286. int64_t output_size = 0;
  287. if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), output_size) != SUCCESS) {
  288. GELOGE(PARAM_INVALID, "Get output size filed");
  289. return PARAM_INVALID;
  290. }
  291. GELOGD("Get output size in dump is %ld", output_size);
  292. std::string origin_name;
  293. int32_t origin_output_index = -1;
  294. (void)AttrUtils::GetStr(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  295. (void)AttrUtils::GetInt(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  296. output.set_size(output_size);
  297. output.set_original_name(origin_name);
  298. output.set_original_output_index(origin_output_index);
  299. output.set_original_output_format(static_cast<int32_t>(tensor_descs.at(index).GetOriginFormat()));
  300. output.set_original_output_data_type(static_cast<int32_t>(tensor_descs.at(index).GetOriginDataType()));
  301. output.set_address(static_cast<uint64_t>(addr));
  302. return SUCCESS;
  303. }
  304. Status DataDumper::DumpRefOutput(const DataDumper::InnerDumpInfo &inner_dump_info, aicpu::dump::Output &output,
  305. size_t i, const std::string &node_name_index) {
  306. std::string dump_op_name;
  307. std::string input_or_output;
  308. size_t index;
  309. // parser and find which node's input or output tensor desc is chosen for dump info
  310. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  311. GELOGE(PARAM_INVALID, "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  312. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  313. return PARAM_INVALID;
  314. }
  315. GE_CHECK_NOTNULL(compute_graph_);
  316. auto replace_node = compute_graph_->FindNode(dump_op_name);
  317. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  318. "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  319. " cannot find redirect node[%s].",
  320. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  321. dump_op_name.c_str());
  322. auto replace_opdesc = replace_node->GetOpDesc();
  323. GE_CHECK_NOTNULL(replace_opdesc);
  324. auto iter = ref_info_.find(replace_opdesc);
  325. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  326. "Op [%s] output desc[%zu] cannot find any saved redirect node[%s]'s info.",
  327. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  328. GE_CHECK_NOTNULL(iter->second);
  329. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  330. if (input_or_output == kDumpInput) {
  331. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  332. addr += kAddrLen * index;
  333. GE_CHK_STATUS_RET(GenerateOutput(output, replace_input_descs, addr, index), "Generate output failed");
  334. } else if (input_or_output == kDumpOutput) {
  335. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  336. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  337. addr += (index + replace_input_size) * kAddrLen;
  338. GE_CHK_STATUS_RET(GenerateOutput(output, replace_output_descs, addr, index), "Generate output failed");
  339. }
  340. GELOGD("Op [%s] output desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  341. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  342. return SUCCESS;
  343. }
  344. Status DataDumper::DumpOutputWithTask(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  345. const auto &output_descs = inner_dump_info.op->GetAllOutputsDesc();
  346. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(runtime_param_, inner_dump_info.op);
  347. if (output_descs.size() != output_addrs.size()) {
  348. GELOGE(PARAM_INVALID, "Invalid output desc addrs size %zu, op %s has %zu output desc.", output_addrs.size(),
  349. inner_dump_info.op->GetName().c_str(), output_descs.size());
  350. return PARAM_INVALID;
  351. }
  352. std::vector<int64_t> v_memory_type;
  353. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_OUTPUT_MEM_TYPE_LIST, v_memory_type);
  354. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != output_descs.size()),
  355. "DumpOutputWithTask[%s], output size[%zu], output memory type size[%zu]",
  356. inner_dump_info.op->GetName().c_str(), output_descs.size(),
  357. v_memory_type.size());
  358. for (size_t i = 0; i < output_descs.size(); ++i) {
  359. aicpu::dump::Output output;
  360. std::string node_name_index;
  361. const auto &output_desc = output_descs.at(i);
  362. // check dump output tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  363. if (AttrUtils::GetStr(&output_desc, ATTR_DATA_DUMP_REF, node_name_index)) {
  364. GE_CHK_STATUS_RET(DumpRefOutput(inner_dump_info, output, i, node_name_index), "DumpRefOutput failed");
  365. task.mutable_output()->Add(std::move(output));
  366. } else {
  367. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  368. GELOGI("[L1Fusion] DumpOutputWithTask[%s] output[%zu] is l1 addr.", inner_dump_info.op->GetName().c_str(), i);
  369. int64_t output_size = 0;
  370. if (TensorUtils::GetTensorSizeInBytes(output_descs.at(i), output_size) != SUCCESS) {
  371. GELOGE(PARAM_INVALID, "Get output size failed.");
  372. return PARAM_INVALID;
  373. }
  374. GELOGI("Get output size of l1_fusion_dump is %ld", output_size);
  375. GenerateOpBuffer(output_size, task);
  376. } else {
  377. const auto input_size = inner_dump_info.op->GetInputsSize();
  378. auto addr = inner_dump_info.args + (i + input_size) * kAddrLen;
  379. GE_CHK_STATUS_RET(GenerateOutput(output, output_descs, addr, i), "Generate output failed");
  380. task.mutable_output()->Add(std::move(output));
  381. }
  382. }
  383. }
  384. return SUCCESS;
  385. }
  386. Status DataDumper::DumpOutput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  387. GELOGI("Start dump output");
  388. if (inner_dump_info.is_task) {
  389. // tbe or aicpu op, these ops are with task
  390. return DumpOutputWithTask(inner_dump_info, task);
  391. }
  392. // else data, const or variable op
  393. aicpu::dump::Output output;
  394. auto output_tensor = inner_dump_info.op->GetOutputDescPtr(inner_dump_info.output_anchor_index);
  395. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(runtime_param_, inner_dump_info.op);
  396. if (output_tensor == nullptr) {
  397. GELOGE(PARAM_INVALID, "output_tensor is null, index: %d, size: %zu.", inner_dump_info.output_anchor_index,
  398. inner_dump_info.op->GetOutputsSize());
  399. return PARAM_INVALID;
  400. }
  401. output.set_data_type(static_cast<int32_t>(GetIrDataType(output_tensor->GetDataType())));
  402. output.set_format(static_cast<int32_t>(output_tensor->GetFormat()));
  403. for (auto dim : inner_dump_info.dims) {
  404. output.mutable_shape()->add_dim(dim);
  405. }
  406. std::string origin_name;
  407. int32_t origin_output_index = -1;
  408. (void)AttrUtils::GetStr(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  409. (void)AttrUtils::GetInt(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  410. output.set_size(inner_dump_info.data_size);
  411. output.set_original_name(origin_name);
  412. output.set_original_output_index(origin_output_index);
  413. output.set_original_output_format(static_cast<int32_t>(output_tensor->GetOriginFormat()));
  414. output.set_original_output_data_type(static_cast<int32_t>(output_tensor->GetOriginDataType()));
  415. // due to lhisi virtual addr bug, cannot use args now
  416. if (inner_dump_info.output_anchor_index >= static_cast<int>(output_addrs.size())) {
  417. GELOGE(FAILED, "Index is out of range.");
  418. return FAILED;
  419. }
  420. auto data_addr = inner_dump_info.args + kAddrLen * static_cast<uint32_t>(inner_dump_info.input_anchor_index);
  421. output.set_address(static_cast<uint64_t>(data_addr));
  422. task.mutable_output()->Add(std::move(output));
  423. return SUCCESS;
  424. }
  425. Status DataDumper::GenerateInput(aicpu::dump::Input &input, const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  426. const uintptr_t &addr, size_t index) {
  427. input.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  428. input.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  429. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  430. input.mutable_shape()->add_dim(dim);
  431. }
  432. int64_t input_size = 0;
  433. if (AttrUtils::GetInt(tensor_descs.at(index), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  434. GELOGI("Get aipp input size according to attr is %ld", input_size);
  435. } else if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), input_size) != SUCCESS) {
  436. GELOGE(PARAM_INVALID, "Get input size filed");
  437. return PARAM_INVALID;
  438. }
  439. GELOGD("Get input size in dump is %ld", input_size);
  440. input.set_size(input_size);
  441. input.set_address(static_cast<uint64_t>(addr));
  442. return SUCCESS;
  443. }
  444. Status DataDumper::DumpRefInput(const DataDumper::InnerDumpInfo &inner_dump_info, aicpu::dump::Input &input, size_t i,
  445. const std::string &node_name_index) {
  446. std::string dump_op_name;
  447. std::string input_or_output;
  448. size_t index;
  449. // parser and find which node's input or output tensor desc is chosen for dump info
  450. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  451. GELOGE(PARAM_INVALID, "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  452. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  453. return PARAM_INVALID;
  454. }
  455. GE_CHECK_NOTNULL(compute_graph_);
  456. auto replace_node = compute_graph_->FindNode(dump_op_name);
  457. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  458. "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  459. " cannot find redirect node[%s].",
  460. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  461. dump_op_name.c_str());
  462. auto replace_opdesc = replace_node->GetOpDesc();
  463. GE_CHECK_NOTNULL(replace_opdesc);
  464. auto iter = ref_info_.find(replace_opdesc);
  465. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  466. "Op [%s] input desc[%zu] cannot find any saved redirect node[%s]'s info.",
  467. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  468. GE_CHECK_NOTNULL(iter->second);
  469. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  470. if (input_or_output == kDumpInput) {
  471. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  472. addr += kAddrLen * index;
  473. GE_CHK_STATUS_RET(GenerateInput(input, replace_input_descs, addr, index), "Generate input failed");
  474. } else if (input_or_output == kDumpOutput) {
  475. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  476. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  477. addr += (index + replace_input_size) * kAddrLen;
  478. GE_CHK_STATUS_RET(GenerateInput(input, replace_output_descs, addr, index), "Generate input failed");
  479. }
  480. GELOGD("Op [%s] input desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  481. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  482. return SUCCESS;
  483. }
  484. Status DataDumper::DumpInput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  485. GELOGI("Start dump input");
  486. const auto &input_descs = inner_dump_info.op->GetAllInputsDesc();
  487. const std::vector<void *> input_addrs = ModelUtils::GetInputDataAddrs(runtime_param_, inner_dump_info.op);
  488. if (input_descs.size() != input_addrs.size()) {
  489. GELOGE(PARAM_INVALID, "Invalid input desc addrs size %zu, op %s has %zu input desc.", input_addrs.size(),
  490. inner_dump_info.op->GetName().c_str(), input_descs.size());
  491. return PARAM_INVALID;
  492. }
  493. std::vector<int64_t> v_memory_type;
  494. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_INPUT_MEM_TYPE_LIST, v_memory_type);
  495. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != input_descs.size()),
  496. "DumpInput[%s], input size[%zu], input memory type size[%zu]",
  497. inner_dump_info.op->GetName().c_str(), input_descs.size(), v_memory_type.size());
  498. for (size_t i = 0; i < input_descs.size(); ++i) {
  499. aicpu::dump::Input input;
  500. std::string node_name_index;
  501. // check dump input tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  502. if (AttrUtils::GetStr(&input_descs.at(i), ATTR_DATA_DUMP_REF, node_name_index)) {
  503. GE_CHK_STATUS_RET(DumpRefInput(inner_dump_info, input, i, node_name_index), "DumpRefInput failed");
  504. task.mutable_input()->Add(std::move(input));
  505. // normal dump without attr
  506. } else {
  507. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  508. GELOGI("[L1Fusion] DumpInput[%s] input[%zu] is l1 addr", inner_dump_info.op->GetName().c_str(), i);
  509. int64_t input_size = 0;
  510. if (AttrUtils::GetInt(input_descs.at(i), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  511. GELOGI("Get aipp input size according to attr is %ld", input_size);
  512. } else if (TensorUtils::GetTensorSizeInBytes(input_descs.at(i), input_size) != SUCCESS) {
  513. GELOGE(PARAM_INVALID, "Get input size failed.");
  514. return PARAM_INVALID;
  515. }
  516. GELOGI("Get input size of l1_fusion_dump is %ld", input_size);
  517. GenerateOpBuffer(input_size, task);
  518. } else {
  519. auto addr = inner_dump_info.args + kAddrLen * i;
  520. GE_CHK_STATUS_RET(GenerateInput(input, input_descs, addr, i), "Generate input failed");
  521. task.mutable_input()->Add(std::move(input));
  522. }
  523. }
  524. }
  525. return SUCCESS;
  526. }
  527. void DataDumper::GenerateOpBuffer(const int64_t &size, aicpu::dump::Task &task) {
  528. aicpu::dump::OpBuffer op_buffer;
  529. op_buffer.set_buffer_type(aicpu::dump::BufferType::L1);
  530. op_buffer.set_address(reinterpret_cast<uintptr_t>(l1_fusion_addr_));
  531. op_buffer.set_size(size);
  532. task.mutable_buffer()->Add(std::move(op_buffer));
  533. }
  534. Status DataDumper::ExecuteLoadDumpInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  535. std::string proto_str;
  536. size_t proto_size = op_mapping_info.ByteSizeLong();
  537. bool ret = op_mapping_info.SerializeToString(&proto_str);
  538. if (!ret || proto_size == 0) {
  539. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  540. return PARAM_INVALID;
  541. }
  542. if (dev_mem_load_ != nullptr) {
  543. GELOGW("dev_mem_load_ has been used.");
  544. ReleaseDevMem(&dev_mem_load_);
  545. }
  546. rtError_t rt_ret = rtMalloc(&dev_mem_load_, proto_size, RT_MEMORY_HBM);
  547. if (rt_ret != RT_ERROR_NONE) {
  548. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  549. return RT_ERROR_TO_GE_STATUS(rt_ret);
  550. }
  551. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "load dump information.", proto_size)
  552. rt_ret = rtMemcpy(dev_mem_load_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  553. if (rt_ret != RT_ERROR_NONE) {
  554. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  555. return RT_ERROR_TO_GE_STATUS(rt_ret);
  556. }
  557. rt_ret = rtDatadumpInfoLoad(dev_mem_load_, proto_size);
  558. if (rt_ret != RT_ERROR_NONE) {
  559. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  560. return RT_ERROR_TO_GE_STATUS(rt_ret);
  561. }
  562. load_flag_ = true;
  563. GELOGI("LoadDumpInfo success, proto size is: %zu.", proto_size);
  564. return SUCCESS;
  565. }
  566. Status DataDumper::ExecuteUnLoadDumpInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  567. std::string proto_str;
  568. size_t proto_size = op_mapping_info.ByteSizeLong();
  569. bool ret = op_mapping_info.SerializeToString(&proto_str);
  570. if (!ret || proto_size == 0) {
  571. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  572. return PARAM_INVALID;
  573. }
  574. if (dev_mem_unload_ != nullptr) {
  575. GELOGW("dev_mem_unload_ has been used.");
  576. ReleaseDevMem(&dev_mem_unload_);
  577. }
  578. rtError_t rt_ret = rtMalloc(&dev_mem_unload_, proto_size, RT_MEMORY_HBM);
  579. if (rt_ret != RT_ERROR_NONE) {
  580. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  581. return RT_ERROR_TO_GE_STATUS(rt_ret);
  582. }
  583. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "unload dump information.", proto_size)
  584. rt_ret = rtMemcpy(dev_mem_unload_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  585. if (rt_ret != RT_ERROR_NONE) {
  586. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  587. return RT_ERROR_TO_GE_STATUS(rt_ret);
  588. }
  589. rt_ret = rtDatadumpInfoLoad(dev_mem_unload_, proto_size);
  590. if (rt_ret != RT_ERROR_NONE) {
  591. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  592. return RT_ERROR_TO_GE_STATUS(rt_ret);
  593. }
  594. load_flag_ = false;
  595. GELOGI("UnloadDumpInfo success, proto size is: %zu.", proto_size);
  596. return SUCCESS;
  597. }
  598. Status DataDumper::LoadDumpInfo() {
  599. std::string dump_list_key;
  600. PrintCheckLog(dump_list_key);
  601. if (op_list_.empty()) {
  602. GELOGD("op_list_ is empty");
  603. }
  604. aicpu::dump::OpMappingInfo op_mapping_info;
  605. auto dump_path = dump_properties_.GetDumpPath() + std::to_string(device_id_) + "/";
  606. op_mapping_info.set_dump_path(dump_path);
  607. op_mapping_info.set_model_name(dump_list_key);
  608. op_mapping_info.set_model_id(model_id_);
  609. op_mapping_info.set_flag(kAicpuLoadFlag);
  610. op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
  611. SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
  612. auto ret = BuildTaskInfo(op_mapping_info);
  613. if (ret != SUCCESS) {
  614. GELOGE(ret, "Build task info failed");
  615. return ret;
  616. }
  617. SetEndGraphIdToAicpu(end_graph_task_id_, end_graph_stream_id_, op_mapping_info);
  618. SetOpDebugIdToAicpu(op_debug_task_id_, op_debug_stream_id_, op_debug_addr_, op_mapping_info);
  619. if (!op_list_.empty() || is_op_debug_ || is_end_graph_) {
  620. auto ret = ExecuteLoadDumpInfo(op_mapping_info);
  621. if (ret != SUCCESS) {
  622. GELOGE(ret, "Execute load dump info failed");
  623. return ret;
  624. }
  625. }
  626. return SUCCESS;
  627. }
  628. Status DataDumper::BuildTaskInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  629. for (const auto &op_iter : op_list_) {
  630. auto op_desc = op_iter.op;
  631. GELOGD("Op %s in model begin to add task in op_mapping_info", op_desc->GetName().c_str());
  632. aicpu::dump::Task task;
  633. task.set_end_graph(false);
  634. task.set_task_id(op_iter.task_id);
  635. task.set_stream_id(op_iter.stream_id);
  636. task.mutable_op()->set_op_name(op_desc->GetName());
  637. task.mutable_op()->set_op_type(op_desc->GetType());
  638. if (dump_properties_.GetDumpMode() == kDumpOutput) {
  639. Status ret = DumpOutput(op_iter, task);
  640. if (ret != SUCCESS) {
  641. GELOGE(ret, "Dump output failed");
  642. return ret;
  643. }
  644. op_mapping_info.mutable_task()->Add(std::move(task));
  645. continue;
  646. }
  647. if (dump_properties_.GetDumpMode() == kDumpInput) {
  648. if (op_iter.is_task) {
  649. Status ret = DumpInput(op_iter, task);
  650. if (ret != SUCCESS) {
  651. GELOGE(ret, "Dump input failed");
  652. return ret;
  653. }
  654. }
  655. op_mapping_info.mutable_task()->Add(std::move(task));
  656. continue;
  657. }
  658. if (dump_properties_.GetDumpMode() == kDumpAll || is_op_debug_) {
  659. auto ret = DumpOutput(op_iter, task);
  660. if (ret != SUCCESS) {
  661. GELOGE(ret, "Dump output failed when in dumping all");
  662. return ret;
  663. }
  664. if (op_iter.is_task) {
  665. ret = DumpInput(op_iter, task);
  666. if (ret != SUCCESS) {
  667. GELOGE(ret, "Dump input failed when in dumping all");
  668. return ret;
  669. }
  670. }
  671. op_mapping_info.mutable_task()->Add(std::move(task));
  672. continue;
  673. }
  674. }
  675. return SUCCESS;
  676. }
  677. void DataDumper::SetEndGraphIdToAicpu(uint32_t task_id, uint32_t stream_id,
  678. aicpu::dump::OpMappingInfo &op_mapping_info) {
  679. if (dump_properties_.GetDumpMode() == kDumpOutput || dump_properties_.GetDumpMode() == kDumpInput ||
  680. dump_properties_.GetDumpMode() == kDumpAll) {
  681. aicpu::dump::Task task;
  682. task.set_end_graph(true);
  683. task.set_task_id(end_graph_task_id_);
  684. task.set_stream_id(end_graph_stream_id_);
  685. task.mutable_op()->set_op_name(NODE_NAME_END_GRAPH);
  686. task.mutable_op()->set_op_type(ENDGRAPH);
  687. op_mapping_info.mutable_task()->Add(std::move(task));
  688. is_end_graph_ = true;
  689. if (op_mapping_info.model_name_param_case() == aicpu::dump::OpMappingInfo::kModelName) {
  690. GELOGI("Add end_graph_info to aicpu, model_name is %s, task_id is %u, stream_id is %u",
  691. op_mapping_info.model_name().c_str(), end_graph_task_id_, end_graph_stream_id_);
  692. return;
  693. }
  694. GELOGI("Add end_graph_info to aicpu, task_id is %u, stream_id is %u", end_graph_task_id_, end_graph_stream_id_);
  695. }
  696. }
  697. void DataDumper::SetOpDebugIdToAicpu(uint32_t task_id, uint32_t stream_id, void *op_debug_addr,
  698. aicpu::dump::OpMappingInfo &op_mapping_info) {
  699. if (is_op_debug_) {
  700. GELOGI("add op_debug_info to aicpu, task_id is %u, stream_id is %u", task_id, stream_id);
  701. aicpu::dump::Task task;
  702. task.set_end_graph(false);
  703. task.set_task_id(task_id);
  704. task.set_stream_id(stream_id);
  705. task.mutable_op()->set_op_name(NODE_NAME_OP_DEBUG);
  706. task.mutable_op()->set_op_type(OP_TYPE_OP_DEBUG);
  707. // set output
  708. aicpu::dump::Output output;
  709. output.set_data_type(DT_UINT8);
  710. output.set_format(FORMAT_ND);
  711. output.mutable_shape()->add_dim(kOpDebugShape);
  712. output.set_original_name(NODE_NAME_OP_DEBUG);
  713. output.set_original_output_index(0);
  714. output.set_original_output_format(FORMAT_ND);
  715. output.set_original_output_data_type(DT_UINT8);
  716. // due to lhisi virtual addr bug, cannot use args now
  717. output.set_address(static_cast<uint64_t>(reinterpret_cast<uintptr_t>(op_debug_addr)));
  718. output.set_size(kOpDebugSize);
  719. task.mutable_output()->Add(std::move(output));
  720. op_mapping_info.mutable_task()->Add(std::move(task));
  721. }
  722. }
  723. Status DataDumper::UnloadDumpInfo() {
  724. if (!load_flag_) {
  725. load_flag_ = false;
  726. return SUCCESS;
  727. }
  728. GELOGI("UnloadDumpInfo start.");
  729. aicpu::dump::OpMappingInfo op_mapping_info;
  730. op_mapping_info.set_model_id(model_id_);
  731. op_mapping_info.set_flag(kAicpuUnloadFlag);
  732. for (const auto &op_iter : op_list_) {
  733. aicpu::dump::Task task;
  734. task.set_task_id(op_iter.task_id);
  735. op_mapping_info.mutable_task()->Add(std::move(task));
  736. }
  737. auto ret = ExecuteUnLoadDumpInfo(op_mapping_info);
  738. if (ret != SUCCESS) {
  739. GELOGE(ret, "Execute unload dump info failed");
  740. return ret;
  741. }
  742. return SUCCESS;
  743. }
  744. void DataDumper::PrintCheckLog(string &dump_list_key) {
  745. std::set<std::string> model_list = dump_properties_.GetAllDumpModel();
  746. if (model_list.empty()) {
  747. return;
  748. }
  749. bool not_find_by_omname = model_list.find(om_name_) == model_list.end();
  750. bool not_find_by_modelname = model_list.find(model_name_) == model_list.end();
  751. dump_list_key = not_find_by_omname ? model_name_ : om_name_;
  752. GELOGI("%zu op need dump in known shape model %s.", op_list_.size(), dump_list_key.c_str());
  753. if (model_list.find(DUMP_ALL_MODEL) == model_list.end()) {
  754. if (not_find_by_omname && not_find_by_modelname) {
  755. std::string model_list_str;
  756. for (auto &model : model_list) {
  757. model_list_str += "[" + model + "].";
  758. }
  759. GELOGW("Model %s will not be set to dump, dump list: %s", dump_list_key.c_str(), model_list_str.c_str());
  760. return;
  761. }
  762. }
  763. std::set<std::string> config_dump_op_list = dump_properties_.GetPropertyValue(dump_list_key);
  764. std::set<std::string> dump_op_list;
  765. for (auto &inner_dump_info : op_list_) {
  766. // oplist value OpDescPtr is not nullptr
  767. dump_op_list.insert(inner_dump_info.op->GetName());
  768. }
  769. for (auto &dump_op : config_dump_op_list) {
  770. if (dump_op_list.find(dump_op) == dump_op_list.end()) {
  771. GELOGW("Op %s set to dump but not exist in model %s or not a valid op.", dump_op.c_str(), dump_list_key.c_str());
  772. }
  773. }
  774. }
  775. Status DataDumper::DumpExceptionInput(const OpDescInfo &op_desc_info, const string &dump_file) {
  776. GELOGI("Start to dump exception input");
  777. for (size_t i = 0; i < op_desc_info.input_addrs.size(); i++) {
  778. if (Debug::DumpDevMem(dump_file.data(), op_desc_info.input_addrs.at(i), op_desc_info.input_size.at(i)) != SUCCESS) {
  779. GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i);
  780. return PARAM_INVALID;
  781. }
  782. }
  783. return SUCCESS;
  784. }
  785. Status DataDumper::DumpExceptionOutput(const OpDescInfo &op_desc_info, const string &dump_file) {
  786. GELOGI("Start to dump exception output");
  787. for (size_t i = 0; i < op_desc_info.output_addrs.size(); i++) {
  788. if (Debug::DumpDevMem(dump_file.data(), op_desc_info.output_addrs.at(i), op_desc_info.output_size.at(i)) !=
  789. SUCCESS) {
  790. GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i);
  791. return PARAM_INVALID;
  792. }
  793. }
  794. return SUCCESS;
  795. }
  796. Status DataDumper::DumpExceptionInfo(const std::vector<rtExceptionInfo> exception_infos) {
  797. GELOGI("Start to dump exception info");
  798. for (const rtExceptionInfo &iter : exception_infos) {
  799. OpDescInfo op_desc_info;
  800. if (GetOpDescInfo(iter.streamid, iter.taskid, op_desc_info)) {
  801. toolkit::dumpdata::DumpData dump_data;
  802. dump_data.set_version("2.0");
  803. dump_data.set_dump_time(GetNowTime());
  804. for (size_t i = 0; i < op_desc_info.input_format.size(); ++i) {
  805. toolkit::dumpdata::OpInput input;
  806. input.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.input_data_type[i])));
  807. input.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.input_format[i]));
  808. for (auto dim : op_desc_info.input_shape[i]) {
  809. input.mutable_shape()->add_dim(dim);
  810. }
  811. input.set_size(op_desc_info.input_size[i]);
  812. GELOGI("The input size int exception is %ld", op_desc_info.input_size[i]);
  813. dump_data.mutable_input()->Add(std::move(input));
  814. }
  815. for (size_t j = 0; j < op_desc_info.output_format.size(); ++j) {
  816. toolkit::dumpdata::OpOutput output;
  817. output.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.output_data_type[j])));
  818. output.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.output_format[j]));
  819. for (auto dim : op_desc_info.output_shape[j]) {
  820. output.mutable_shape()->add_dim(dim);
  821. }
  822. output.set_size(op_desc_info.output_size[j]);
  823. GELOGI("The output size int exception is %ld", op_desc_info.output_size[j]);
  824. dump_data.mutable_output()->Add(std::move(output));
  825. }
  826. uint64_t now_time = GetNowTime();
  827. std::string op_name = op_desc_info.op_name;
  828. std::string op_type = op_desc_info.op_type;
  829. ReplaceStringElem(op_name);
  830. ReplaceStringElem(op_type);
  831. string dump_file_path =
  832. "./" + op_type + "." + op_name + "." + to_string(op_desc_info.task_id) + "." + to_string(now_time);
  833. GELOGI("The exception dump file path is %s", dump_file_path.c_str());
  834. uint64_t proto_size = dump_data.ByteSizeLong();
  835. unique_ptr<char[]> proto_msg(new (std::nothrow) char[proto_size]);
  836. bool ret = dump_data.SerializeToArray(proto_msg.get(), proto_size);
  837. if (!ret || proto_size == 0) {
  838. GELOGE(PARAM_INVALID, "Dump data proto serialize failed");
  839. return PARAM_INVALID;
  840. }
  841. GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), &proto_size, sizeof(uint64_t)),
  842. "Failed to dump proto size");
  843. GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), proto_msg.get(), proto_size),
  844. "Failed to dump proto msg");
  845. if (DumpExceptionInput(op_desc_info, dump_file_path) != SUCCESS) {
  846. GELOGE(PARAM_INVALID, "Dump exception input failed");
  847. return PARAM_INVALID;
  848. }
  849. if (DumpExceptionOutput(op_desc_info, dump_file_path) != SUCCESS) {
  850. GELOGE(PARAM_INVALID, "Dump exception output failed");
  851. return PARAM_INVALID;
  852. }
  853. GELOGI("Dump exception info SUCCESS");
  854. } else {
  855. GELOGE(PARAM_INVALID, "Get op desc info failed,task id:%u,stream id:%u", iter.taskid, iter.streamid);
  856. return PARAM_INVALID;
  857. }
  858. }
  859. return SUCCESS;
  860. }
  861. } // 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