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data_dumper.cc 40 kB

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  1. /**
  2. * Copyright 2019-2020 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. } // namespace
  79. static int32_t GetIrDataType(ge::DataType data_type) {
  80. static const std::map<ge::DataType, ge::proto::DataType> data_type_map = {
  81. {ge::DT_UNDEFINED, ge::proto::DT_UNDEFINED},
  82. {ge::DT_FLOAT, ge::proto::DT_FLOAT},
  83. {ge::DT_FLOAT16, ge::proto::DT_FLOAT16},
  84. {ge::DT_INT8, ge::proto::DT_INT8},
  85. {ge::DT_UINT8, ge::proto::DT_UINT8},
  86. {ge::DT_INT16, ge::proto::DT_INT16},
  87. {ge::DT_UINT16, ge::proto::DT_UINT16},
  88. {ge::DT_INT32, ge::proto::DT_INT32},
  89. {ge::DT_INT64, ge::proto::DT_INT64},
  90. {ge::DT_UINT32, ge::proto::DT_UINT32},
  91. {ge::DT_UINT64, ge::proto::DT_UINT64},
  92. {ge::DT_BOOL, ge::proto::DT_BOOL},
  93. {ge::DT_DOUBLE, ge::proto::DT_DOUBLE},
  94. {ge::DT_DUAL, ge::proto::DT_DUAL},
  95. {ge::DT_DUAL_SUB_INT8, ge::proto::DT_DUAL_SUB_INT8},
  96. {ge::DT_DUAL_SUB_UINT8, ge::proto::DT_DUAL_SUB_UINT8},
  97. {ge::DT_COMPLEX64, ge::proto::DT_COMPLEX64},
  98. {ge::DT_COMPLEX128, ge::proto::DT_COMPLEX128},
  99. {ge::DT_QINT8, ge::proto::DT_QINT8},
  100. {ge::DT_QINT16, ge::proto::DT_QINT16},
  101. {ge::DT_QINT32, ge::proto::DT_QINT32},
  102. {ge::DT_QUINT8, ge::proto::DT_QUINT8},
  103. {ge::DT_QUINT16, ge::proto::DT_QUINT16},
  104. {ge::DT_RESOURCE, ge::proto::DT_RESOURCE},
  105. {ge::DT_STRING_REF, ge::proto::DT_STRING_REF},
  106. {ge::DT_STRING, ge::proto::DT_STRING},
  107. };
  108. auto iter = data_type_map.find(data_type);
  109. if (iter == data_type_map.end()) {
  110. return static_cast<int32_t>(ge::proto::DT_UNDEFINED);
  111. }
  112. return static_cast<int32_t>(iter->second);
  113. }
  114. namespace ge {
  115. DataDumper::~DataDumper() {
  116. ReleaseDevMem(&dev_mem_load_);
  117. ReleaseDevMem(&dev_mem_unload_);
  118. }
  119. void DataDumper::ReleaseDevMem(void **ptr) noexcept {
  120. if (ptr == nullptr) {
  121. return;
  122. }
  123. if (*ptr != nullptr) {
  124. rtError_t rt_ret = rtFree(*ptr);
  125. if (rt_ret != RT_ERROR_NONE) {
  126. GELOGE(RT_FAILED, "Call rtFree failed, ret: 0x%X", rt_ret);
  127. }
  128. *ptr = nullptr;
  129. }
  130. }
  131. void DataDumper::SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond) {
  132. global_step_ = reinterpret_cast<uintptr_t>(global_step);
  133. loop_per_iter_ = reinterpret_cast<uintptr_t>(loop_per_iter);
  134. loop_cond_ = reinterpret_cast<uintptr_t>(loop_cond);
  135. }
  136. void DataDumper::SaveDumpInput(const std::shared_ptr<Node> &node) {
  137. GELOGI("Start to save data %s message", node->GetName().c_str());
  138. if (node != nullptr) {
  139. auto input_op_desc = node->GetOpDesc();
  140. if (input_op_desc == nullptr) {
  141. GELOGE(PARAM_INVALID, "input op desc is null.");
  142. return;
  143. }
  144. for (auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  145. for (auto &dst_in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) {
  146. ge::NodePtr dst_node = dst_in_data_anchor->GetOwnerNode();
  147. auto op_desc = dst_node->GetOpDesc();
  148. if (op_desc == nullptr) {
  149. GELOGE(PARAM_INVALID, "input op desc is null.");
  150. return;
  151. }
  152. input_map_.insert(
  153. {op_desc->GetName(), {input_op_desc, dst_in_data_anchor->GetIdx(), out_data_anchor->GetIdx()}});
  154. }
  155. }
  156. GELOGI("Save data message successfully");
  157. }
  158. }
  159. void DataDumper::SaveEndGraphId(uint32_t task_id, uint32_t stream_id) {
  160. end_graph_task_id_ = task_id;
  161. end_graph_stream_id_ = stream_id;
  162. }
  163. void DataDumper::SaveOpDebugId(uint32_t task_id, uint32_t stream_id, void *op_debug_addr, bool is_op_debug) {
  164. op_debug_task_id_ = task_id;
  165. op_debug_stream_id_ = stream_id;
  166. op_debug_addr_ = op_debug_addr;
  167. is_op_debug_ = is_op_debug;
  168. }
  169. void DataDumper::SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, uint32_t task_id,
  170. uint32_t stream_id) {
  171. GELOGD("Start SaveDumpOpInfo of task_id: %u, stream_id: %u", task_id, stream_id);
  172. OpDescInfo op_desc_info;
  173. op_desc_info.op_name = op->GetName();
  174. op_desc_info.op_type = op->GetType();
  175. op_desc_info.task_id = task_id;
  176. op_desc_info.stream_id = stream_id;
  177. for (size_t i = 0; i < op->GetInputsSize(); ++i) {
  178. GeTensorDesc input_desc = op->GetInputDesc(i);
  179. op_desc_info.input_format.emplace_back(input_desc.GetFormat());
  180. op_desc_info.input_shape.emplace_back(input_desc.GetShape().GetDims());
  181. op_desc_info.input_data_type.emplace_back(input_desc.GetDataType());
  182. int64_t input_size = 0;
  183. auto tensor_descs = op->GetAllInputsDesc();
  184. if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(i), input_size) != SUCCESS) {
  185. GELOGW("Get input size failed");
  186. return;
  187. }
  188. GELOGI("Save dump op info, the input size is %ld", input_size);
  189. op_desc_info.input_size.emplace_back(input_size);
  190. }
  191. for (size_t j = 0; j < op->GetOutputsSize(); ++j) {
  192. GeTensorDesc output_desc = op->GetOutputDesc(j);
  193. op_desc_info.output_format.emplace_back(output_desc.GetFormat());
  194. op_desc_info.output_shape.emplace_back(output_desc.GetShape().GetDims());
  195. op_desc_info.output_data_type.emplace_back(output_desc.GetDataType());
  196. int64_t output_size = 0;
  197. auto tensor_descs = op->GetAllOutputsDesc();
  198. if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(j), output_size) != SUCCESS) {
  199. GELOGW("Get input size failed");
  200. return;
  201. }
  202. GELOGI("Save dump op info, the output size is %ld", output_size);
  203. op_desc_info.output_size.emplace_back(output_size);
  204. }
  205. op_desc_info.input_addrs = ModelUtils::GetInputDataAddrs(model_param, op);
  206. op_desc_info.output_addrs = ModelUtils::GetOutputDataAddrs(model_param, op);
  207. op_desc_info_.emplace_back(op_desc_info);
  208. }
  209. bool DataDumper::GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const {
  210. GELOGI("There are %zu op need to dump.", op_desc_info_.size());
  211. for (size_t index = 0; index < op_desc_info_.size(); ++index) {
  212. OpDescInfo dump_op_info = op_desc_info_.at(index);
  213. if (dump_op_info.task_id == task_id && dump_op_info.stream_id == stream_id) {
  214. GELOGI("find exception op of task_id: %u, stream_id: %u.", task_id, stream_id);
  215. op_desc_info = dump_op_info;
  216. return true;
  217. }
  218. }
  219. return false;
  220. }
  221. void DataDumper::SaveDumpTask(uint32_t task_id, uint32_t stream_id, const std::shared_ptr<OpDesc> &op_desc,
  222. uintptr_t args) {
  223. if (op_desc == nullptr) {
  224. GELOGE(PARAM_INVALID, "Opdesc is nullptr");
  225. return;
  226. }
  227. GELOGI("Save dump task %s, task id: %u, stream id: %u", op_desc->GetName().c_str(), task_id, stream_id);
  228. op_list_.push_back({task_id, stream_id, op_desc, args, true});
  229. for (auto iter = input_map_.equal_range(op_desc->GetName()); iter.first != iter.second; ++iter.first) {
  230. InnerInputMapping &inner_input_mapping = iter.first->second;
  231. auto &data_op = inner_input_mapping.data_op;
  232. if (data_op == nullptr) {
  233. GELOGE(PARAM_INVALID, "data_op is null.");
  234. return;
  235. }
  236. auto input_tensor = op_desc->GetInputDescPtr(inner_input_mapping.input_anchor_index);
  237. if (input_tensor == nullptr) {
  238. GELOGE(PARAM_INVALID, "input_tensor is null, index: %d, size: %zu.", inner_input_mapping.input_anchor_index,
  239. op_desc->GetInputsSize());
  240. return;
  241. }
  242. int64_t data_size = 0;
  243. if (AttrUtils::GetInt(input_tensor, ATTR_NAME_INPUT_ORIGIN_SIZE, data_size)) {
  244. GELOGI("Get aipp data size according to attr is %ld", data_size);
  245. } else if (TensorUtils::GetTensorSizeInBytes(*input_tensor, data_size) != SUCCESS) {
  246. GELOGE(PARAM_INVALID, "Get input size filed");
  247. return;
  248. }
  249. GELOGI("Save input dump task %s, id: %u,stream id :%u,data size :%ld", data_op->GetName().c_str(), task_id,
  250. stream_id, data_size);
  251. op_list_.push_back({task_id, stream_id, data_op, args, false, inner_input_mapping.input_anchor_index,
  252. inner_input_mapping.output_anchor_index, input_tensor->GetShape().GetDims(), data_size});
  253. }
  254. }
  255. static void SetOpMappingLoopAddr(uintptr_t step_id, uintptr_t loop_per_iter, uintptr_t loop_cond,
  256. aicpu::dump::OpMappingInfo &op_mapping_info) {
  257. if (step_id != 0) {
  258. GELOGI("step_id exists.");
  259. op_mapping_info.set_step_id_addr(static_cast<uint64_t>(step_id));
  260. } else {
  261. GELOGI("step_id is null.");
  262. }
  263. if (loop_per_iter != 0) {
  264. GELOGI("loop_per_iter exists.");
  265. op_mapping_info.set_iterations_per_loop_addr(static_cast<uint64_t>(loop_per_iter));
  266. } else {
  267. GELOGI("loop_per_iter is null.");
  268. }
  269. if (loop_cond != 0) {
  270. GELOGI("loop_cond exists.");
  271. op_mapping_info.set_loop_cond_addr(static_cast<uint64_t>(loop_cond));
  272. } else {
  273. GELOGI("loop_cond is null.");
  274. }
  275. }
  276. Status DataDumper::GenerateOutput(aicpu::dump::Output &output, const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  277. const uintptr_t &addr, size_t index) {
  278. output.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  279. output.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  280. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  281. output.mutable_shape()->add_dim(dim);
  282. }
  283. int64_t output_size = 0;
  284. if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), output_size) != SUCCESS) {
  285. GELOGE(PARAM_INVALID, "Get output size filed");
  286. return PARAM_INVALID;
  287. }
  288. GELOGD("Get output size in dump is %ld", output_size);
  289. std::string origin_name;
  290. int32_t origin_output_index = -1;
  291. (void)AttrUtils::GetStr(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  292. (void)AttrUtils::GetInt(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  293. output.set_size(output_size);
  294. output.set_original_name(origin_name);
  295. output.set_original_output_index(origin_output_index);
  296. output.set_original_output_format(static_cast<int32_t>(tensor_descs.at(index).GetOriginFormat()));
  297. output.set_original_output_data_type(static_cast<int32_t>(tensor_descs.at(index).GetOriginDataType()));
  298. output.set_address(static_cast<uint64_t>(addr));
  299. return SUCCESS;
  300. }
  301. Status DataDumper::DumpRefOutput(const DataDumper::InnerDumpInfo &inner_dump_info, aicpu::dump::Output &output,
  302. size_t i, const std::string &node_name_index) {
  303. std::string dump_op_name;
  304. std::string input_or_output;
  305. size_t index;
  306. // parser and find which node's input or output tensor desc is chosen for dump info
  307. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  308. GELOGE(PARAM_INVALID, "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  309. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  310. return PARAM_INVALID;
  311. }
  312. GE_CHECK_NOTNULL(compute_graph_);
  313. auto replace_node = compute_graph_->FindNode(dump_op_name);
  314. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  315. "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  316. " cannot find redirect node[%s].",
  317. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  318. dump_op_name.c_str());
  319. auto replace_opdesc = replace_node->GetOpDesc();
  320. GE_CHECK_NOTNULL(replace_opdesc);
  321. auto iter = ref_info_.find(replace_opdesc);
  322. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  323. "Op [%s] output desc[%zu] cannot find any saved redirect node[%s]'s info.",
  324. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  325. GE_CHECK_NOTNULL(iter->second);
  326. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  327. if (input_or_output == kDumpInput) {
  328. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  329. addr += kAddrLen * index;
  330. GE_CHK_STATUS_RET(GenerateOutput(output, replace_input_descs, addr, index), "Generate output failed");
  331. } else if (input_or_output == kDumpOutput) {
  332. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  333. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  334. addr += (index + replace_input_size) * kAddrLen;
  335. GE_CHK_STATUS_RET(GenerateOutput(output, replace_output_descs, addr, index), "Generate output failed");
  336. }
  337. GELOGD("Op [%s] output desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  338. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  339. return SUCCESS;
  340. }
  341. Status DataDumper::DumpOutputWithTask(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  342. const auto &output_descs = inner_dump_info.op->GetAllOutputsDesc();
  343. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(runtime_param_, inner_dump_info.op);
  344. if (output_descs.size() != output_addrs.size()) {
  345. GELOGE(PARAM_INVALID, "Invalid output desc addrs size %zu, op %s has %zu output desc.", output_addrs.size(),
  346. inner_dump_info.op->GetName().c_str(), output_descs.size());
  347. return PARAM_INVALID;
  348. }
  349. std::vector<int64_t> v_memory_type;
  350. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_OUTPUT_MEM_TYPE_LIST, v_memory_type);
  351. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != output_descs.size()),
  352. "DumpOutputWithTask[%s], output size[%zu], output memory type size[%zu]",
  353. inner_dump_info.op->GetName().c_str(), output_descs.size(),
  354. v_memory_type.size());
  355. for (size_t i = 0; i < output_descs.size(); ++i) {
  356. aicpu::dump::Output output;
  357. std::string node_name_index;
  358. const auto &output_desc = output_descs.at(i);
  359. // check dump output tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  360. if (AttrUtils::GetStr(&output_desc, ATTR_DATA_DUMP_REF, node_name_index)) {
  361. GE_CHK_STATUS_RET(DumpRefOutput(inner_dump_info, output, i, node_name_index), "DumpRefOutput failed");
  362. task.mutable_output()->Add(std::move(output));
  363. } else {
  364. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  365. GELOGI("[L1Fusion] DumpOutputWithTask[%s] output[%zu] is l1 addr.", inner_dump_info.op->GetName().c_str(), i);
  366. int64_t output_size = 0;
  367. if (TensorUtils::GetTensorSizeInBytes(output_descs.at(i), output_size) != SUCCESS) {
  368. GELOGE(PARAM_INVALID, "Get output size failed.");
  369. return PARAM_INVALID;
  370. }
  371. GELOGI("Get output size of l1_fusion_dump is %ld", output_size);
  372. GenerateOpBuffer(output_size, task);
  373. } else {
  374. const auto input_size = inner_dump_info.op->GetInputsSize();
  375. auto addr = inner_dump_info.args + (i + input_size) * kAddrLen;
  376. GE_CHK_STATUS_RET(GenerateOutput(output, output_descs, addr, i), "Generate output failed");
  377. task.mutable_output()->Add(std::move(output));
  378. }
  379. }
  380. }
  381. return SUCCESS;
  382. }
  383. Status DataDumper::DumpOutput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  384. GELOGI("Start dump output");
  385. if (inner_dump_info.is_task) {
  386. // tbe or aicpu op, these ops are with task
  387. return DumpOutputWithTask(inner_dump_info, task);
  388. }
  389. // else data, const or variable op
  390. aicpu::dump::Output output;
  391. auto output_tensor = inner_dump_info.op->GetOutputDescPtr(inner_dump_info.output_anchor_index);
  392. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(runtime_param_, inner_dump_info.op);
  393. if (output_tensor == nullptr) {
  394. GELOGE(PARAM_INVALID, "output_tensor is null, index: %d, size: %zu.", inner_dump_info.output_anchor_index,
  395. inner_dump_info.op->GetOutputsSize());
  396. return PARAM_INVALID;
  397. }
  398. output.set_data_type(static_cast<int32_t>(GetIrDataType(output_tensor->GetDataType())));
  399. output.set_format(static_cast<int32_t>(output_tensor->GetFormat()));
  400. for (auto dim : inner_dump_info.dims) {
  401. output.mutable_shape()->add_dim(dim);
  402. }
  403. std::string origin_name;
  404. int32_t origin_output_index = -1;
  405. (void)AttrUtils::GetStr(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  406. (void)AttrUtils::GetInt(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  407. output.set_size(inner_dump_info.data_size);
  408. output.set_original_name(origin_name);
  409. output.set_original_output_index(origin_output_index);
  410. output.set_original_output_format(static_cast<int32_t>(output_tensor->GetOriginFormat()));
  411. output.set_original_output_data_type(static_cast<int32_t>(output_tensor->GetOriginDataType()));
  412. // due to lhisi virtual addr bug, cannot use args now
  413. if (inner_dump_info.output_anchor_index >= static_cast<int>(output_addrs.size())) {
  414. GELOGE(FAILED, "Index is out of range.");
  415. return FAILED;
  416. }
  417. auto data_addr = inner_dump_info.args + kAddrLen * static_cast<uint32_t>(inner_dump_info.input_anchor_index);
  418. output.set_address(static_cast<uint64_t>(data_addr));
  419. task.mutable_output()->Add(std::move(output));
  420. return SUCCESS;
  421. }
  422. Status DataDumper::GenerateInput(aicpu::dump::Input &input, const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  423. const uintptr_t &addr, size_t index) {
  424. input.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  425. input.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  426. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  427. input.mutable_shape()->add_dim(dim);
  428. }
  429. int64_t input_size = 0;
  430. if (AttrUtils::GetInt(tensor_descs.at(index), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  431. GELOGI("Get aipp input size according to attr is %ld", input_size);
  432. } else if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), input_size) != SUCCESS) {
  433. GELOGE(PARAM_INVALID, "Get input size filed");
  434. return PARAM_INVALID;
  435. }
  436. GELOGD("Get input size in dump is %ld", input_size);
  437. input.set_size(input_size);
  438. input.set_address(static_cast<uint64_t>(addr));
  439. return SUCCESS;
  440. }
  441. Status DataDumper::DumpRefInput(const DataDumper::InnerDumpInfo &inner_dump_info, aicpu::dump::Input &input, size_t i,
  442. const std::string &node_name_index) {
  443. std::string dump_op_name;
  444. std::string input_or_output;
  445. size_t index;
  446. // parser and find which node's input or output tensor desc is chosen for dump info
  447. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  448. GELOGE(PARAM_INVALID, "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  449. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  450. return PARAM_INVALID;
  451. }
  452. GE_CHECK_NOTNULL(compute_graph_);
  453. auto replace_node = compute_graph_->FindNode(dump_op_name);
  454. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  455. "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  456. " cannot find redirect node[%s].",
  457. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  458. dump_op_name.c_str());
  459. auto replace_opdesc = replace_node->GetOpDesc();
  460. GE_CHECK_NOTNULL(replace_opdesc);
  461. auto iter = ref_info_.find(replace_opdesc);
  462. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  463. "Op [%s] input desc[%zu] cannot find any saved redirect node[%s]'s info.",
  464. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  465. GE_CHECK_NOTNULL(iter->second);
  466. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  467. if (input_or_output == kDumpInput) {
  468. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  469. addr += kAddrLen * index;
  470. GE_CHK_STATUS_RET(GenerateInput(input, replace_input_descs, addr, index), "Generate input failed");
  471. } else if (input_or_output == kDumpOutput) {
  472. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  473. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  474. addr += (index + replace_input_size) * kAddrLen;
  475. GE_CHK_STATUS_RET(GenerateInput(input, replace_output_descs, addr, index), "Generate input failed");
  476. }
  477. GELOGD("Op [%s] input desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  478. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  479. return SUCCESS;
  480. }
  481. Status DataDumper::DumpInput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  482. GELOGI("Start dump input");
  483. const auto &input_descs = inner_dump_info.op->GetAllInputsDesc();
  484. const std::vector<void *> input_addrs = ModelUtils::GetInputDataAddrs(runtime_param_, inner_dump_info.op);
  485. if (input_descs.size() != input_addrs.size()) {
  486. GELOGE(PARAM_INVALID, "Invalid input desc addrs size %zu, op %s has %zu input desc.", input_addrs.size(),
  487. inner_dump_info.op->GetName().c_str(), input_descs.size());
  488. return PARAM_INVALID;
  489. }
  490. std::vector<int64_t> v_memory_type;
  491. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_INPUT_MEM_TYPE_LIST, v_memory_type);
  492. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != input_descs.size()),
  493. "DumpInput[%s], input size[%zu], input memory type size[%zu]",
  494. inner_dump_info.op->GetName().c_str(), input_descs.size(), v_memory_type.size());
  495. for (size_t i = 0; i < input_descs.size(); ++i) {
  496. aicpu::dump::Input input;
  497. std::string node_name_index;
  498. // check dump input tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  499. if (AttrUtils::GetStr(&input_descs.at(i), ATTR_DATA_DUMP_REF, node_name_index)) {
  500. GE_CHK_STATUS_RET(DumpRefInput(inner_dump_info, input, i, node_name_index), "DumpRefInput failed");
  501. task.mutable_input()->Add(std::move(input));
  502. // normal dump without attr
  503. } else {
  504. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  505. GELOGI("[L1Fusion] DumpInput[%s] input[%zu] is l1 addr", inner_dump_info.op->GetName().c_str(), i);
  506. int64_t input_size = 0;
  507. if (AttrUtils::GetInt(input_descs.at(i), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  508. GELOGI("Get aipp input size according to attr is %ld", input_size);
  509. } else if (TensorUtils::GetTensorSizeInBytes(input_descs.at(i), input_size) != SUCCESS) {
  510. GELOGE(PARAM_INVALID, "Get input size failed.");
  511. return PARAM_INVALID;
  512. }
  513. GELOGI("Get input size of l1_fusion_dump is %ld", input_size);
  514. GenerateOpBuffer(input_size, task);
  515. } else {
  516. auto addr = inner_dump_info.args + kAddrLen * i;
  517. GE_CHK_STATUS_RET(GenerateInput(input, input_descs, addr, i), "Generate input failed");
  518. task.mutable_input()->Add(std::move(input));
  519. }
  520. }
  521. }
  522. return SUCCESS;
  523. }
  524. void DataDumper::GenerateOpBuffer(const int64_t &size, aicpu::dump::Task &task) {
  525. aicpu::dump::OpBuffer op_buffer;
  526. op_buffer.set_buffer_type(aicpu::dump::BufferType::L1);
  527. op_buffer.set_address(reinterpret_cast<uintptr_t>(l1_fusion_addr_));
  528. op_buffer.set_size(size);
  529. task.mutable_buffer()->Add(std::move(op_buffer));
  530. }
  531. Status DataDumper::ExecuteLoadDumpInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  532. std::string proto_str;
  533. size_t proto_size = op_mapping_info.ByteSizeLong();
  534. bool ret = op_mapping_info.SerializeToString(&proto_str);
  535. if (!ret || proto_size == 0) {
  536. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  537. return PARAM_INVALID;
  538. }
  539. if (dev_mem_load_ != nullptr) {
  540. GELOGW("dev_mem_load_ has been used.");
  541. ReleaseDevMem(&dev_mem_load_);
  542. }
  543. rtError_t rt_ret = rtMalloc(&dev_mem_load_, proto_size, RT_MEMORY_HBM);
  544. if (rt_ret != RT_ERROR_NONE) {
  545. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  546. return RT_ERROR_TO_GE_STATUS(rt_ret);
  547. }
  548. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "load dump information.", proto_size)
  549. rt_ret = rtMemcpy(dev_mem_load_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  550. if (rt_ret != RT_ERROR_NONE) {
  551. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  552. return RT_ERROR_TO_GE_STATUS(rt_ret);
  553. }
  554. rt_ret = rtDatadumpInfoLoad(dev_mem_load_, proto_size);
  555. if (rt_ret != RT_ERROR_NONE) {
  556. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  557. return RT_ERROR_TO_GE_STATUS(rt_ret);
  558. }
  559. load_flag_ = true;
  560. GELOGI("LoadDumpInfo success, proto size is: %zu.", proto_size);
  561. return SUCCESS;
  562. }
  563. Status DataDumper::ExecuteUnLoadDumpInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  564. std::string proto_str;
  565. size_t proto_size = op_mapping_info.ByteSizeLong();
  566. bool ret = op_mapping_info.SerializeToString(&proto_str);
  567. if (!ret || proto_size == 0) {
  568. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  569. return PARAM_INVALID;
  570. }
  571. if (dev_mem_unload_ != nullptr) {
  572. GELOGW("dev_mem_unload_ has been used.");
  573. ReleaseDevMem(&dev_mem_unload_);
  574. }
  575. rtError_t rt_ret = rtMalloc(&dev_mem_unload_, proto_size, RT_MEMORY_HBM);
  576. if (rt_ret != RT_ERROR_NONE) {
  577. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  578. return RT_ERROR_TO_GE_STATUS(rt_ret);
  579. }
  580. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "unload dump information.", proto_size)
  581. rt_ret = rtMemcpy(dev_mem_unload_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  582. if (rt_ret != RT_ERROR_NONE) {
  583. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  584. return RT_ERROR_TO_GE_STATUS(rt_ret);
  585. }
  586. rt_ret = rtDatadumpInfoLoad(dev_mem_unload_, proto_size);
  587. if (rt_ret != RT_ERROR_NONE) {
  588. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  589. return RT_ERROR_TO_GE_STATUS(rt_ret);
  590. }
  591. load_flag_ = false;
  592. GELOGI("UnloadDumpInfo success, proto size is: %zu.", proto_size);
  593. return SUCCESS;
  594. }
  595. Status DataDumper::LoadDumpInfo() {
  596. std::string dump_list_key;
  597. PrintCheckLog(dump_list_key);
  598. if (op_list_.empty()) {
  599. GELOGW("op_list_ is empty");
  600. }
  601. aicpu::dump::OpMappingInfo op_mapping_info;
  602. auto dump_path = dump_properties_.GetDumpPath() + std::to_string(device_id_) + "/";
  603. op_mapping_info.set_dump_path(dump_path);
  604. op_mapping_info.set_model_name(dump_list_key);
  605. op_mapping_info.set_model_id(model_id_);
  606. op_mapping_info.set_flag(kAicpuLoadFlag);
  607. op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
  608. SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
  609. GELOGI("Dump step is %s and dump path is %s in load dump info", dump_properties_.GetDumpStep().c_str(),
  610. dump_path.c_str());
  611. for (const auto &op_iter : op_list_) {
  612. auto op_desc = op_iter.op;
  613. GELOGD("Op %s in model %s begin to add task in op_mapping_info", op_desc->GetName().c_str(), dump_list_key.c_str());
  614. aicpu::dump::Task task;
  615. task.set_end_graph(false);
  616. task.set_task_id(op_iter.task_id);
  617. task.set_stream_id(op_iter.stream_id);
  618. task.mutable_op()->set_op_name(op_desc->GetName());
  619. task.mutable_op()->set_op_type(op_desc->GetType());
  620. if (dump_properties_.GetDumpMode() == kDumpOutput) {
  621. Status ret = DumpOutput(op_iter, task);
  622. if (ret != SUCCESS) {
  623. GELOGE(ret, "Dump output failed");
  624. return ret;
  625. }
  626. op_mapping_info.mutable_task()->Add(std::move(task));
  627. continue;
  628. }
  629. if (dump_properties_.GetDumpMode() == kDumpInput) {
  630. if (op_iter.is_task) {
  631. GE_CHK_STATUS_RET(DumpInput(op_iter, task), "Dump input failed");
  632. }
  633. op_mapping_info.mutable_task()->Add(std::move(task));
  634. continue;
  635. }
  636. if (dump_properties_.GetDumpMode() == kDumpAll) {
  637. auto ret = DumpOutput(op_iter, task);
  638. if (ret != SUCCESS) {
  639. GELOGE(ret, "Dump output failed when in dumping all");
  640. return ret;
  641. }
  642. if (op_iter.is_task) {
  643. ret = DumpInput(op_iter, task);
  644. if (ret != SUCCESS) {
  645. GELOGE(ret, "Dump input failed when in dumping all");
  646. return ret;
  647. }
  648. }
  649. op_mapping_info.mutable_task()->Add(std::move(task));
  650. continue;
  651. }
  652. }
  653. SetEndGraphIdToAicpu(end_graph_task_id_, end_graph_stream_id_, op_mapping_info);
  654. SetOpDebugIdToAicpu(op_debug_task_id_, op_debug_stream_id_, op_debug_addr_, op_mapping_info);
  655. if (!op_list_.empty() || is_op_debug_ || is_end_graph_) {
  656. auto ret = ExecuteLoadDumpInfo(op_mapping_info);
  657. if (ret != SUCCESS) {
  658. GELOGE(ret, "Execute load dump info failed");
  659. return ret;
  660. }
  661. }
  662. return SUCCESS;
  663. }
  664. void DataDumper::SetEndGraphIdToAicpu(uint32_t task_id, uint32_t stream_id,
  665. aicpu::dump::OpMappingInfo &op_mapping_info) {
  666. if (dump_properties_.GetDumpMode() == kDumpOutput || dump_properties_.GetDumpMode() == kDumpInput ||
  667. dump_properties_.GetDumpMode() == kDumpAll) {
  668. aicpu::dump::Task task;
  669. task.set_end_graph(true);
  670. task.set_task_id(end_graph_task_id_);
  671. task.set_stream_id(end_graph_stream_id_);
  672. task.mutable_op()->set_op_name(NODE_NAME_END_GRAPH);
  673. task.mutable_op()->set_op_type(ENDGRAPH);
  674. op_mapping_info.mutable_task()->Add(std::move(task));
  675. is_end_graph_ = true;
  676. if (op_mapping_info.model_name_param_case() == aicpu::dump::OpMappingInfo::kModelName) {
  677. GELOGI("Add end_graph_info to aicpu, model_name is %s, task_id is %u, stream_id is %u",
  678. op_mapping_info.model_name().c_str(), end_graph_task_id_, end_graph_stream_id_);
  679. return;
  680. }
  681. GELOGI("Add end_graph_info to aicpu, task_id is %u, stream_id is %u", end_graph_task_id_, end_graph_stream_id_);
  682. }
  683. }
  684. void DataDumper::SetOpDebugIdToAicpu(uint32_t task_id, uint32_t stream_id, void *op_debug_addr,
  685. aicpu::dump::OpMappingInfo &op_mapping_info) {
  686. if (is_op_debug_) {
  687. GELOGI("add op_debug_info to aicpu, task_id is %u, stream_id is %u", task_id, stream_id);
  688. aicpu::dump::Task task;
  689. task.set_end_graph(false);
  690. task.set_task_id(task_id);
  691. task.set_stream_id(stream_id);
  692. task.mutable_op()->set_op_name(NODE_NAME_OP_DEBUG);
  693. task.mutable_op()->set_op_type(OP_TYPE_OP_DEBUG);
  694. // set output
  695. aicpu::dump::Output output;
  696. output.set_data_type(DT_UINT8);
  697. output.set_format(FORMAT_ND);
  698. output.mutable_shape()->add_dim(kOpDebugShape);
  699. output.set_original_name(NODE_NAME_OP_DEBUG);
  700. output.set_original_output_index(0);
  701. output.set_original_output_format(FORMAT_ND);
  702. output.set_original_output_data_type(DT_UINT8);
  703. // due to lhisi virtual addr bug, cannot use args now
  704. output.set_address(static_cast<uint64_t>(reinterpret_cast<uintptr_t>(op_debug_addr)));
  705. output.set_size(kOpDebugSize);
  706. task.mutable_output()->Add(std::move(output));
  707. op_mapping_info.mutable_task()->Add(std::move(task));
  708. }
  709. }
  710. Status DataDumper::UnloadDumpInfo() {
  711. if (!load_flag_) {
  712. GELOGI("No need to UnloadDumpInfo.");
  713. load_flag_ = false;
  714. return SUCCESS;
  715. }
  716. GELOGI("UnloadDumpInfo start.");
  717. aicpu::dump::OpMappingInfo op_mapping_info;
  718. op_mapping_info.set_model_id(model_id_);
  719. op_mapping_info.set_flag(kAicpuUnloadFlag);
  720. for (const auto &op_iter : op_list_) {
  721. aicpu::dump::Task task;
  722. task.set_task_id(op_iter.task_id);
  723. op_mapping_info.mutable_task()->Add(std::move(task));
  724. }
  725. auto ret = ExecuteUnLoadDumpInfo(op_mapping_info);
  726. if (ret != SUCCESS) {
  727. GELOGE(ret, "Execute unload dump info failed");
  728. return ret;
  729. }
  730. return SUCCESS;
  731. }
  732. void DataDumper::PrintCheckLog(string &dump_list_key) {
  733. std::set<std::string> model_list = dump_properties_.GetAllDumpModel();
  734. if (model_list.empty()) {
  735. GELOGI("No model need dump.");
  736. return;
  737. }
  738. bool not_find_by_omname = model_list.find(om_name_) == model_list.end();
  739. bool not_find_by_modelname = model_list.find(model_name_) == model_list.end();
  740. dump_list_key = not_find_by_omname ? model_name_ : om_name_;
  741. GELOGI("%zu op need dump in known shape model %s.", op_list_.size(), dump_list_key.c_str());
  742. if (model_list.find(DUMP_ALL_MODEL) == model_list.end()) {
  743. if (not_find_by_omname && not_find_by_modelname) {
  744. std::string model_list_str;
  745. for (auto &model : model_list) {
  746. model_list_str += "[" + model + "].";
  747. }
  748. GELOGW("Model %s will not be set to dump, dump list: %s", dump_list_key.c_str(), model_list_str.c_str());
  749. return;
  750. }
  751. }
  752. std::set<std::string> config_dump_op_list = dump_properties_.GetPropertyValue(dump_list_key);
  753. std::set<std::string> dump_op_list;
  754. for (auto &inner_dump_info : op_list_) {
  755. // oplist value OpDescPtr is not nullptr
  756. dump_op_list.insert(inner_dump_info.op->GetName());
  757. }
  758. for (auto &dump_op : config_dump_op_list) {
  759. if (dump_op_list.find(dump_op) == dump_op_list.end()) {
  760. 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());
  761. }
  762. }
  763. }
  764. Status DataDumper::DumpExceptionInput(const OpDescInfo &op_desc_info, const string &dump_file) {
  765. GELOGI("Start to dump exception input");
  766. for (size_t i = 0; i < op_desc_info.input_addrs.size(); i++) {
  767. if (Debug::DumpDevMem(dump_file.data(), op_desc_info.input_addrs.at(i), op_desc_info.input_size.at(i)) != SUCCESS) {
  768. GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i);
  769. return PARAM_INVALID;
  770. }
  771. }
  772. return SUCCESS;
  773. }
  774. Status DataDumper::DumpExceptionOutput(const OpDescInfo &op_desc_info, const string &dump_file) {
  775. GELOGI("Start to dump exception output");
  776. for (size_t i = 0; i < op_desc_info.output_addrs.size(); i++) {
  777. if (Debug::DumpDevMem(dump_file.data(), op_desc_info.output_addrs.at(i), op_desc_info.output_size.at(i)) !=
  778. 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::DumpExceptionInfo(const std::vector<rtExceptionInfo> exception_infos) {
  786. GELOGI("Start to dump exception info");
  787. for (const rtExceptionInfo &iter : exception_infos) {
  788. OpDescInfo op_desc_info;
  789. if (GetOpDescInfo(iter.streamid, iter.taskid, op_desc_info)) {
  790. toolkit::dumpdata::DumpData dump_data;
  791. dump_data.set_version("2.0");
  792. dump_data.set_dump_time(GetNowTime());
  793. for (size_t i = 0; i < op_desc_info.input_format.size(); ++i) {
  794. toolkit::dumpdata::OpInput input;
  795. input.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.input_data_type[i])));
  796. input.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.input_format[i]));
  797. for (auto dim : op_desc_info.input_shape[i]) {
  798. input.mutable_shape()->add_dim(dim);
  799. }
  800. input.set_size(op_desc_info.input_size[i]);
  801. GELOGI("The input size int exception is %ld", op_desc_info.input_size[i]);
  802. dump_data.mutable_input()->Add(std::move(input));
  803. }
  804. for (size_t j = 0; j < op_desc_info.output_format.size(); ++j) {
  805. toolkit::dumpdata::OpOutput output;
  806. output.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.output_data_type[j])));
  807. output.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.output_format[j]));
  808. for (auto dim : op_desc_info.output_shape[j]) {
  809. output.mutable_shape()->add_dim(dim);
  810. }
  811. output.set_size(op_desc_info.output_size[j]);
  812. GELOGI("The output size int exception is %ld", op_desc_info.output_size[j]);
  813. dump_data.mutable_output()->Add(std::move(output));
  814. }
  815. uint64_t now_time = GetNowTime();
  816. string dump_file_path = "./" + op_desc_info.op_type + "." + op_desc_info.op_name + "." +
  817. to_string(op_desc_info.task_id) + "." + to_string(now_time);
  818. uint64_t proto_size = dump_data.ByteSizeLong();
  819. unique_ptr<char[]> proto_msg(new (std::nothrow) char[proto_size]);
  820. bool ret = dump_data.SerializeToArray(proto_msg.get(), proto_size);
  821. if (!ret || proto_size == 0) {
  822. GELOGE(PARAM_INVALID, "Dump data proto serialize failed");
  823. return PARAM_INVALID;
  824. }
  825. GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), &proto_size, sizeof(uint64_t)),
  826. "Failed to dump proto size");
  827. GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), proto_msg.get(), proto_size),
  828. "Failed to dump proto msg");
  829. if (DumpExceptionInput(op_desc_info, dump_file_path) != SUCCESS) {
  830. GELOGE(PARAM_INVALID, "Dump exception input failed");
  831. return PARAM_INVALID;
  832. }
  833. if (DumpExceptionOutput(op_desc_info, dump_file_path) != SUCCESS) {
  834. GELOGE(PARAM_INVALID, "Dump exception output failed");
  835. return PARAM_INVALID;
  836. }
  837. GELOGI("Dump exception info SUCCESS");
  838. } else {
  839. GELOGE(PARAM_INVALID, "Get op desc info failed,task id:%u,stream id:%u", iter.taskid, iter.streamid);
  840. return PARAM_INVALID;
  841. }
  842. }
  843. return SUCCESS;
  844. }
  845. } // 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