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