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data_dumper.cc 41 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/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/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. {ge::DT_VARIANT, ge::proto::DT_VARIANT},
  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. for (auto dim : tensor_descs.at(index).GetOriginShape().GetDims()) {
  287. output.mutable_origin_shape()->add_dim(dim);
  288. }
  289. int64_t output_size = 0;
  290. if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), output_size) != SUCCESS) {
  291. GELOGE(PARAM_INVALID, "Get output size filed");
  292. return PARAM_INVALID;
  293. }
  294. GELOGD("Get output size in dump is %ld", output_size);
  295. std::string origin_name;
  296. int32_t origin_output_index = -1;
  297. (void)AttrUtils::GetStr(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  298. (void)AttrUtils::GetInt(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  299. output.set_size(output_size);
  300. output.set_original_name(origin_name);
  301. output.set_original_output_index(origin_output_index);
  302. output.set_original_output_format(static_cast<int32_t>(tensor_descs.at(index).GetOriginFormat()));
  303. output.set_original_output_data_type(static_cast<int32_t>(tensor_descs.at(index).GetOriginDataType()));
  304. output.set_address(static_cast<uint64_t>(addr));
  305. return SUCCESS;
  306. }
  307. Status DataDumper::DumpRefOutput(const DataDumper::InnerDumpInfo &inner_dump_info, aicpu::dump::Output &output,
  308. size_t i, const std::string &node_name_index) {
  309. std::string dump_op_name;
  310. std::string input_or_output;
  311. size_t index;
  312. // parser and find which node's input or output tensor desc is chosen for dump info
  313. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  314. GELOGE(PARAM_INVALID, "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  315. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  316. return PARAM_INVALID;
  317. }
  318. GE_CHECK_NOTNULL(compute_graph_);
  319. auto replace_node = compute_graph_->FindNode(dump_op_name);
  320. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  321. "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  322. " cannot find redirect node[%s].",
  323. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  324. dump_op_name.c_str());
  325. auto replace_opdesc = replace_node->GetOpDesc();
  326. GE_CHECK_NOTNULL(replace_opdesc);
  327. auto iter = ref_info_.find(replace_opdesc);
  328. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  329. "Op [%s] output desc[%zu] cannot find any saved redirect node[%s]'s info.",
  330. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  331. GE_CHECK_NOTNULL(iter->second);
  332. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  333. if (input_or_output == kDumpInput) {
  334. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  335. addr += kAddrLen * index;
  336. GE_CHK_STATUS_RET(GenerateOutput(output, replace_input_descs, addr, index), "Generate output failed");
  337. } else if (input_or_output == kDumpOutput) {
  338. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  339. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  340. addr += (index + replace_input_size) * kAddrLen;
  341. GE_CHK_STATUS_RET(GenerateOutput(output, replace_output_descs, addr, index), "Generate output failed");
  342. }
  343. GELOGD("Op [%s] output desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  344. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  345. return SUCCESS;
  346. }
  347. Status DataDumper::DumpOutputWithTask(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  348. const auto &output_descs = inner_dump_info.op->GetAllOutputsDesc();
  349. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(*runtime_param_, inner_dump_info.op);
  350. if (output_descs.size() != output_addrs.size()) {
  351. GELOGE(PARAM_INVALID, "Invalid output desc addrs size %zu, op %s has %zu output desc.", output_addrs.size(),
  352. inner_dump_info.op->GetName().c_str(), output_descs.size());
  353. return PARAM_INVALID;
  354. }
  355. std::vector<int64_t> v_memory_type;
  356. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_OUTPUT_MEM_TYPE_LIST, v_memory_type);
  357. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != output_descs.size()),
  358. "DumpOutputWithTask[%s], output size[%zu], output memory type size[%zu]",
  359. inner_dump_info.op->GetName().c_str(), output_descs.size(),
  360. v_memory_type.size());
  361. for (size_t i = 0; i < output_descs.size(); ++i) {
  362. aicpu::dump::Output output;
  363. std::string node_name_index;
  364. const auto &output_desc = output_descs.at(i);
  365. // check dump output tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  366. if (AttrUtils::GetStr(&output_desc, ATTR_DATA_DUMP_REF, node_name_index)) {
  367. GE_CHK_STATUS_RET(DumpRefOutput(inner_dump_info, output, i, node_name_index), "DumpRefOutput failed");
  368. task.mutable_output()->Add(std::move(output));
  369. } else {
  370. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  371. GELOGI("[L1Fusion] DumpOutputWithTask[%s] output[%zu] is l1 addr.", inner_dump_info.op->GetName().c_str(), i);
  372. int64_t output_size = 0;
  373. if (TensorUtils::GetTensorSizeInBytes(output_descs.at(i), output_size) != SUCCESS) {
  374. GELOGE(PARAM_INVALID, "Get output size failed.");
  375. return PARAM_INVALID;
  376. }
  377. GELOGI("Get output size of l1_fusion_dump is %ld", output_size);
  378. GenerateOpBuffer(output_size, task);
  379. } else {
  380. const auto input_size = inner_dump_info.op->GetInputsSize();
  381. auto addr = inner_dump_info.args + (i + input_size) * kAddrLen;
  382. GE_CHK_STATUS_RET(GenerateOutput(output, output_descs, addr, i), "Generate output failed");
  383. task.mutable_output()->Add(std::move(output));
  384. }
  385. }
  386. }
  387. return SUCCESS;
  388. }
  389. Status DataDumper::DumpOutput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  390. GELOGI("Start dump output");
  391. if (inner_dump_info.is_task) {
  392. // tbe or aicpu op, these ops are with task
  393. return DumpOutputWithTask(inner_dump_info, task);
  394. }
  395. // else data, const or variable op
  396. aicpu::dump::Output output;
  397. auto output_tensor = inner_dump_info.op->GetOutputDescPtr(inner_dump_info.output_anchor_index);
  398. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(*runtime_param_, inner_dump_info.op);
  399. if (output_tensor == nullptr) {
  400. GELOGE(PARAM_INVALID, "output_tensor is null, index: %d, size: %zu.", inner_dump_info.output_anchor_index,
  401. inner_dump_info.op->GetOutputsSize());
  402. return PARAM_INVALID;
  403. }
  404. output.set_data_type(static_cast<int32_t>(GetIrDataType(output_tensor->GetDataType())));
  405. output.set_format(static_cast<int32_t>(output_tensor->GetFormat()));
  406. for (auto dim : inner_dump_info.dims) {
  407. output.mutable_shape()->add_dim(dim);
  408. }
  409. std::string origin_name;
  410. int32_t origin_output_index = -1;
  411. (void)AttrUtils::GetStr(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  412. (void)AttrUtils::GetInt(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  413. output.set_size(inner_dump_info.data_size);
  414. output.set_original_name(origin_name);
  415. output.set_original_output_index(origin_output_index);
  416. output.set_original_output_format(static_cast<int32_t>(output_tensor->GetOriginFormat()));
  417. output.set_original_output_data_type(static_cast<int32_t>(output_tensor->GetOriginDataType()));
  418. // due to lhisi virtual addr bug, cannot use args now
  419. if (inner_dump_info.output_anchor_index >= static_cast<int>(output_addrs.size())) {
  420. GELOGE(FAILED, "Index is out of range.");
  421. return FAILED;
  422. }
  423. auto data_addr = inner_dump_info.args + kAddrLen * static_cast<uint32_t>(inner_dump_info.input_anchor_index);
  424. output.set_address(static_cast<uint64_t>(data_addr));
  425. task.mutable_output()->Add(std::move(output));
  426. return SUCCESS;
  427. }
  428. Status DataDumper::GenerateInput(aicpu::dump::Input &input, const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  429. const uintptr_t &addr, size_t index) {
  430. input.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  431. input.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  432. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  433. input.mutable_shape()->add_dim(dim);
  434. }
  435. for (auto dim : tensor_descs.at(index).GetOriginShape().GetDims()) {
  436. input.mutable_origin_shape()->add_dim(dim);
  437. }
  438. int64_t input_size = 0;
  439. if (AttrUtils::GetInt(tensor_descs.at(index), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  440. GELOGI("Get aipp input size according to attr is %ld", input_size);
  441. } else if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), input_size) != SUCCESS) {
  442. GELOGE(PARAM_INVALID, "Get input size filed");
  443. return PARAM_INVALID;
  444. }
  445. GELOGD("Get input size in dump is %ld", input_size);
  446. input.set_size(input_size);
  447. input.set_address(static_cast<uint64_t>(addr));
  448. return SUCCESS;
  449. }
  450. Status DataDumper::DumpRefInput(const DataDumper::InnerDumpInfo &inner_dump_info, aicpu::dump::Input &input, size_t i,
  451. const std::string &node_name_index) {
  452. std::string dump_op_name;
  453. std::string input_or_output;
  454. size_t index;
  455. // parser and find which node's input or output tensor desc is chosen for dump info
  456. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  457. GELOGE(PARAM_INVALID, "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  458. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  459. return PARAM_INVALID;
  460. }
  461. GE_CHECK_NOTNULL(compute_graph_);
  462. auto replace_node = compute_graph_->FindNode(dump_op_name);
  463. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  464. "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  465. " cannot find redirect node[%s].",
  466. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  467. dump_op_name.c_str());
  468. auto replace_opdesc = replace_node->GetOpDesc();
  469. GE_CHECK_NOTNULL(replace_opdesc);
  470. auto iter = ref_info_.find(replace_opdesc);
  471. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  472. "Op [%s] input desc[%zu] cannot find any saved redirect node[%s]'s info.",
  473. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  474. GE_CHECK_NOTNULL(iter->second);
  475. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  476. if (input_or_output == kDumpInput) {
  477. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  478. addr += kAddrLen * index;
  479. GE_CHK_STATUS_RET(GenerateInput(input, replace_input_descs, addr, index), "Generate input failed");
  480. } else if (input_or_output == kDumpOutput) {
  481. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  482. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  483. addr += (index + replace_input_size) * kAddrLen;
  484. GE_CHK_STATUS_RET(GenerateInput(input, replace_output_descs, addr, index), "Generate input failed");
  485. }
  486. GELOGD("Op [%s] input desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  487. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  488. return SUCCESS;
  489. }
  490. Status DataDumper::DumpInput(const InnerDumpInfo &inner_dump_info, aicpu::dump::Task &task) {
  491. GELOGI("Start dump input");
  492. const auto &input_descs = inner_dump_info.op->GetAllInputsDesc();
  493. const std::vector<void *> input_addrs = ModelUtils::GetInputDataAddrs(*runtime_param_, inner_dump_info.op);
  494. if (input_descs.size() != input_addrs.size()) {
  495. GELOGE(PARAM_INVALID, "Invalid input desc addrs size %zu, op %s has %zu input desc.", input_addrs.size(),
  496. inner_dump_info.op->GetName().c_str(), input_descs.size());
  497. return PARAM_INVALID;
  498. }
  499. std::vector<int64_t> v_memory_type;
  500. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_INPUT_MEM_TYPE_LIST, v_memory_type);
  501. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != input_descs.size()),
  502. "DumpInput[%s], input size[%zu], input memory type size[%zu]",
  503. inner_dump_info.op->GetName().c_str(), input_descs.size(), v_memory_type.size());
  504. for (size_t i = 0; i < input_descs.size(); ++i) {
  505. aicpu::dump::Input input;
  506. std::string node_name_index;
  507. // check dump input tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  508. if (AttrUtils::GetStr(&input_descs.at(i), ATTR_DATA_DUMP_REF, node_name_index)) {
  509. GE_CHK_STATUS_RET(DumpRefInput(inner_dump_info, input, i, node_name_index), "DumpRefInput failed");
  510. task.mutable_input()->Add(std::move(input));
  511. // normal dump without attr
  512. } else {
  513. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  514. GELOGI("[L1Fusion] DumpInput[%s] input[%zu] is l1 addr", inner_dump_info.op->GetName().c_str(), i);
  515. int64_t input_size = 0;
  516. if (AttrUtils::GetInt(input_descs.at(i), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  517. GELOGI("Get aipp input size according to attr is %ld", input_size);
  518. } else if (TensorUtils::GetTensorSizeInBytes(input_descs.at(i), input_size) != SUCCESS) {
  519. GELOGE(PARAM_INVALID, "Get input size failed.");
  520. return PARAM_INVALID;
  521. }
  522. GELOGI("Get input size of l1_fusion_dump is %ld", input_size);
  523. GenerateOpBuffer(input_size, task);
  524. } else {
  525. auto addr = inner_dump_info.args + kAddrLen * i;
  526. GE_CHK_STATUS_RET(GenerateInput(input, input_descs, addr, i), "Generate input failed");
  527. task.mutable_input()->Add(std::move(input));
  528. }
  529. }
  530. }
  531. return SUCCESS;
  532. }
  533. void DataDumper::GenerateOpBuffer(const int64_t &size, aicpu::dump::Task &task) {
  534. aicpu::dump::OpBuffer op_buffer;
  535. op_buffer.set_buffer_type(aicpu::dump::BufferType::L1);
  536. op_buffer.set_address(reinterpret_cast<uintptr_t>(l1_fusion_addr_));
  537. op_buffer.set_size(size);
  538. task.mutable_buffer()->Add(std::move(op_buffer));
  539. }
  540. Status DataDumper::ExecuteLoadDumpInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  541. std::string proto_str;
  542. size_t proto_size = op_mapping_info.ByteSizeLong();
  543. bool ret = op_mapping_info.SerializeToString(&proto_str);
  544. if (!ret || proto_size == 0) {
  545. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  546. return PARAM_INVALID;
  547. }
  548. if (dev_mem_load_ != nullptr) {
  549. GELOGW("dev_mem_load_ has been used.");
  550. ReleaseDevMem(&dev_mem_load_);
  551. }
  552. rtError_t rt_ret = rtMalloc(&dev_mem_load_, proto_size, RT_MEMORY_HBM);
  553. if (rt_ret != RT_ERROR_NONE) {
  554. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  555. return RT_ERROR_TO_GE_STATUS(rt_ret);
  556. }
  557. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "load dump information.", proto_size)
  558. rt_ret = rtMemcpy(dev_mem_load_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  559. if (rt_ret != RT_ERROR_NONE) {
  560. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  561. return RT_ERROR_TO_GE_STATUS(rt_ret);
  562. }
  563. rt_ret = rtDatadumpInfoLoad(dev_mem_load_, proto_size);
  564. if (rt_ret != RT_ERROR_NONE) {
  565. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  566. return RT_ERROR_TO_GE_STATUS(rt_ret);
  567. }
  568. load_flag_ = true;
  569. GELOGI("LoadDumpInfo success, proto size is: %zu.", proto_size);
  570. return SUCCESS;
  571. }
  572. Status DataDumper::ExecuteUnLoadDumpInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  573. std::string proto_str;
  574. size_t proto_size = op_mapping_info.ByteSizeLong();
  575. bool ret = op_mapping_info.SerializeToString(&proto_str);
  576. if (!ret || proto_size == 0) {
  577. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  578. return PARAM_INVALID;
  579. }
  580. if (dev_mem_unload_ != nullptr) {
  581. GELOGW("dev_mem_unload_ has been used.");
  582. ReleaseDevMem(&dev_mem_unload_);
  583. }
  584. rtError_t rt_ret = rtMalloc(&dev_mem_unload_, proto_size, RT_MEMORY_HBM);
  585. if (rt_ret != RT_ERROR_NONE) {
  586. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  587. return RT_ERROR_TO_GE_STATUS(rt_ret);
  588. }
  589. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "unload dump information.", proto_size)
  590. rt_ret = rtMemcpy(dev_mem_unload_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  591. if (rt_ret != RT_ERROR_NONE) {
  592. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  593. return RT_ERROR_TO_GE_STATUS(rt_ret);
  594. }
  595. rt_ret = rtDatadumpInfoLoad(dev_mem_unload_, proto_size);
  596. if (rt_ret != RT_ERROR_NONE) {
  597. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  598. return RT_ERROR_TO_GE_STATUS(rt_ret);
  599. }
  600. load_flag_ = false;
  601. GELOGI("UnloadDumpInfo success, proto size is: %zu.", proto_size);
  602. return SUCCESS;
  603. }
  604. Status DataDumper::LoadDumpInfo() {
  605. std::string dump_list_key;
  606. PrintCheckLog(dump_list_key);
  607. if (op_list_.empty()) {
  608. GELOGD("op_list_ is empty");
  609. }
  610. aicpu::dump::OpMappingInfo op_mapping_info;
  611. auto dump_path = dump_properties_.GetDumpPath() + std::to_string(device_id_) + "/";
  612. op_mapping_info.set_dump_path(dump_path);
  613. op_mapping_info.set_model_name(dump_list_key);
  614. op_mapping_info.set_model_id(model_id_);
  615. op_mapping_info.set_flag(kAicpuLoadFlag);
  616. op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
  617. SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
  618. auto ret = BuildTaskInfo(op_mapping_info);
  619. if (ret != SUCCESS) {
  620. GELOGE(ret, "Build task info failed");
  621. return ret;
  622. }
  623. SetEndGraphIdToAicpu(end_graph_task_id_, end_graph_stream_id_, op_mapping_info);
  624. SetOpDebugIdToAicpu(op_debug_task_id_, op_debug_stream_id_, op_debug_addr_, op_mapping_info);
  625. if (!op_list_.empty() || is_op_debug_ || is_end_graph_) {
  626. auto ret = ExecuteLoadDumpInfo(op_mapping_info);
  627. if (ret != SUCCESS) {
  628. GELOGE(ret, "Execute load dump info failed");
  629. return ret;
  630. }
  631. }
  632. return SUCCESS;
  633. }
  634. Status DataDumper::BuildTaskInfo(aicpu::dump::OpMappingInfo &op_mapping_info) {
  635. for (const auto &op_iter : op_list_) {
  636. auto op_desc = op_iter.op;
  637. GELOGD("Op %s in model begin to add task in op_mapping_info", op_desc->GetName().c_str());
  638. aicpu::dump::Task task;
  639. task.set_end_graph(false);
  640. task.set_task_id(op_iter.task_id);
  641. task.set_stream_id(op_iter.stream_id);
  642. task.mutable_op()->set_op_name(op_desc->GetName());
  643. task.mutable_op()->set_op_type(op_desc->GetType());
  644. if (dump_properties_.GetDumpMode() == kDumpOutput) {
  645. Status ret = DumpOutput(op_iter, task);
  646. if (ret != SUCCESS) {
  647. GELOGE(ret, "Dump output failed");
  648. return ret;
  649. }
  650. op_mapping_info.mutable_task()->Add(std::move(task));
  651. continue;
  652. }
  653. if (dump_properties_.GetDumpMode() == kDumpInput) {
  654. if (op_iter.is_task) {
  655. Status ret = DumpInput(op_iter, task);
  656. if (ret != SUCCESS) {
  657. GELOGE(ret, "Dump input failed");
  658. return ret;
  659. }
  660. }
  661. op_mapping_info.mutable_task()->Add(std::move(task));
  662. continue;
  663. }
  664. if (dump_properties_.GetDumpMode() == kDumpAll || is_op_debug_) {
  665. auto ret = DumpOutput(op_iter, task);
  666. if (ret != SUCCESS) {
  667. GELOGE(ret, "Dump output failed when in dumping all");
  668. return ret;
  669. }
  670. if (op_iter.is_task) {
  671. ret = DumpInput(op_iter, task);
  672. if (ret != SUCCESS) {
  673. GELOGE(ret, "Dump input failed when in dumping all");
  674. return ret;
  675. }
  676. }
  677. op_mapping_info.mutable_task()->Add(std::move(task));
  678. continue;
  679. }
  680. }
  681. return SUCCESS;
  682. }
  683. void DataDumper::SetEndGraphIdToAicpu(uint32_t task_id, uint32_t stream_id,
  684. aicpu::dump::OpMappingInfo &op_mapping_info) {
  685. if (dump_properties_.GetDumpMode() == kDumpOutput || dump_properties_.GetDumpMode() == kDumpInput ||
  686. dump_properties_.GetDumpMode() == kDumpAll) {
  687. aicpu::dump::Task task;
  688. task.set_end_graph(true);
  689. task.set_task_id(end_graph_task_id_);
  690. task.set_stream_id(end_graph_stream_id_);
  691. task.mutable_op()->set_op_name(NODE_NAME_END_GRAPH);
  692. task.mutable_op()->set_op_type(ENDGRAPH);
  693. op_mapping_info.mutable_task()->Add(std::move(task));
  694. is_end_graph_ = true;
  695. if (op_mapping_info.model_name_param_case() == aicpu::dump::OpMappingInfo::kModelName) {
  696. GELOGI("Add end_graph_info to aicpu, model_name is %s, task_id is %u, stream_id is %u",
  697. op_mapping_info.model_name().c_str(), end_graph_task_id_, end_graph_stream_id_);
  698. return;
  699. }
  700. GELOGI("Add end_graph_info to aicpu, task_id is %u, stream_id is %u", end_graph_task_id_, end_graph_stream_id_);
  701. }
  702. }
  703. void DataDumper::SetOpDebugIdToAicpu(uint32_t task_id, uint32_t stream_id, void *op_debug_addr,
  704. aicpu::dump::OpMappingInfo &op_mapping_info) {
  705. if (is_op_debug_) {
  706. GELOGI("add op_debug_info to aicpu, task_id is %u, stream_id is %u", task_id, stream_id);
  707. aicpu::dump::Task task;
  708. task.set_end_graph(false);
  709. task.set_task_id(task_id);
  710. task.set_stream_id(stream_id);
  711. task.mutable_op()->set_op_name(NODE_NAME_OP_DEBUG);
  712. task.mutable_op()->set_op_type(OP_TYPE_OP_DEBUG);
  713. // set output
  714. aicpu::dump::Output output;
  715. output.set_data_type(DT_UINT8);
  716. output.set_format(FORMAT_ND);
  717. output.mutable_shape()->add_dim(kOpDebugShape);
  718. output.set_original_name(NODE_NAME_OP_DEBUG);
  719. output.set_original_output_index(0);
  720. output.set_original_output_format(FORMAT_ND);
  721. output.set_original_output_data_type(DT_UINT8);
  722. // due to lhisi virtual addr bug, cannot use args now
  723. output.set_address(static_cast<uint64_t>(reinterpret_cast<uintptr_t>(op_debug_addr)));
  724. output.set_size(kOpDebugSize);
  725. task.mutable_output()->Add(std::move(output));
  726. op_mapping_info.mutable_task()->Add(std::move(task));
  727. }
  728. }
  729. Status DataDumper::UnloadDumpInfo() {
  730. if (!load_flag_) {
  731. load_flag_ = false;
  732. return SUCCESS;
  733. }
  734. GELOGI("UnloadDumpInfo start.");
  735. aicpu::dump::OpMappingInfo op_mapping_info;
  736. op_mapping_info.set_model_id(model_id_);
  737. op_mapping_info.set_flag(kAicpuUnloadFlag);
  738. for (const auto &op_iter : op_list_) {
  739. aicpu::dump::Task task;
  740. task.set_task_id(op_iter.task_id);
  741. task.set_stream_id(op_iter.stream_id);
  742. op_mapping_info.mutable_task()->Add(std::move(task));
  743. }
  744. auto ret = ExecuteUnLoadDumpInfo(op_mapping_info);
  745. if (ret != SUCCESS) {
  746. GELOGE(ret, "Execute unload dump info failed");
  747. return ret;
  748. }
  749. return SUCCESS;
  750. }
  751. void DataDumper::DumpShrink() {
  752. compute_graph_.reset();
  753. input_map_.clear();
  754. ref_info_.clear();
  755. }
  756. void DataDumper::PrintCheckLog(string &dump_list_key) {
  757. std::set<std::string> model_list = dump_properties_.GetAllDumpModel();
  758. if (model_list.empty()) {
  759. return;
  760. }
  761. bool not_find_by_omname = model_list.find(om_name_) == model_list.end();
  762. bool not_find_by_modelname = model_list.find(model_name_) == model_list.end();
  763. dump_list_key = not_find_by_omname ? model_name_ : om_name_;
  764. GELOGI("%zu op need dump in known shape model %s.", op_list_.size(), dump_list_key.c_str());
  765. if (model_list.find(DUMP_ALL_MODEL) == model_list.end()) {
  766. if (not_find_by_omname && not_find_by_modelname) {
  767. std::string model_list_str;
  768. for (auto &model : model_list) {
  769. model_list_str += "[" + model + "].";
  770. }
  771. GELOGW("Model %s will not be set to dump, dump list: %s", dump_list_key.c_str(), model_list_str.c_str());
  772. return;
  773. }
  774. }
  775. std::set<std::string> config_dump_op_list = dump_properties_.GetPropertyValue(dump_list_key);
  776. std::set<std::string> dump_op_list;
  777. for (auto &inner_dump_info : op_list_) {
  778. // oplist value OpDescPtr is not nullptr
  779. dump_op_list.insert(inner_dump_info.op->GetName());
  780. }
  781. for (auto &dump_op : config_dump_op_list) {
  782. if (dump_op_list.find(dump_op) == dump_op_list.end()) {
  783. 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());
  784. }
  785. }
  786. }
  787. Status DataDumper::DumpExceptionInput(const OpDescInfo &op_desc_info, const string &dump_file) {
  788. GELOGI("Start to dump exception input");
  789. for (size_t i = 0; i < op_desc_info.input_addrs.size(); i++) {
  790. if (Debug::DumpDevMem(dump_file.data(), op_desc_info.input_addrs.at(i), op_desc_info.input_size.at(i)) != SUCCESS) {
  791. GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i);
  792. return PARAM_INVALID;
  793. }
  794. }
  795. return SUCCESS;
  796. }
  797. Status DataDumper::DumpExceptionOutput(const OpDescInfo &op_desc_info, const string &dump_file) {
  798. GELOGI("Start to dump exception output");
  799. for (size_t i = 0; i < op_desc_info.output_addrs.size(); i++) {
  800. if (Debug::DumpDevMem(dump_file.data(), op_desc_info.output_addrs.at(i), op_desc_info.output_size.at(i)) !=
  801. SUCCESS) {
  802. GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i);
  803. return PARAM_INVALID;
  804. }
  805. }
  806. return SUCCESS;
  807. }
  808. Status DataDumper::DumpExceptionInfo(const std::vector<rtExceptionInfo> exception_infos) {
  809. GELOGI("Start to dump exception info");
  810. for (const rtExceptionInfo &iter : exception_infos) {
  811. OpDescInfo op_desc_info;
  812. if (GetOpDescInfo(iter.streamid, iter.taskid, op_desc_info)) {
  813. toolkit::dumpdata::DumpData dump_data;
  814. dump_data.set_version("2.0");
  815. dump_data.set_dump_time(GetNowTime());
  816. dump_data.set_op_name(op_desc_info.op_name);
  817. for (size_t i = 0; i < op_desc_info.input_format.size(); ++i) {
  818. toolkit::dumpdata::OpInput input;
  819. input.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.input_data_type[i])));
  820. input.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.input_format[i]));
  821. for (auto dim : op_desc_info.input_shape[i]) {
  822. input.mutable_shape()->add_dim(dim);
  823. }
  824. input.set_size(op_desc_info.input_size[i]);
  825. GELOGI("The input size int exception is %ld", op_desc_info.input_size[i]);
  826. dump_data.mutable_input()->Add(std::move(input));
  827. }
  828. for (size_t j = 0; j < op_desc_info.output_format.size(); ++j) {
  829. toolkit::dumpdata::OpOutput output;
  830. output.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.output_data_type[j])));
  831. output.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.output_format[j]));
  832. for (auto dim : op_desc_info.output_shape[j]) {
  833. output.mutable_shape()->add_dim(dim);
  834. }
  835. output.set_size(op_desc_info.output_size[j]);
  836. GELOGI("The output size int exception is %ld", op_desc_info.output_size[j]);
  837. dump_data.mutable_output()->Add(std::move(output));
  838. }
  839. uint64_t now_time = GetNowTime();
  840. std::string op_name = op_desc_info.op_name;
  841. std::string op_type = op_desc_info.op_type;
  842. ReplaceStringElem(op_name);
  843. ReplaceStringElem(op_type);
  844. string dump_file_path =
  845. "./" + op_type + "." + op_name + "." + std::to_string(op_desc_info.task_id) + "." + std::to_string(now_time);
  846. GELOGI("The exception dump file path is %s", dump_file_path.c_str());
  847. uint64_t proto_size = dump_data.ByteSizeLong();
  848. std::unique_ptr<char[]> proto_msg(new (std::nothrow) char[proto_size]);
  849. bool ret = dump_data.SerializeToArray(proto_msg.get(), proto_size);
  850. if (!ret || proto_size == 0) {
  851. GELOGE(PARAM_INVALID, "Dump data proto serialize failed");
  852. return PARAM_INVALID;
  853. }
  854. GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), &proto_size, sizeof(uint64_t)),
  855. "Failed to dump proto size");
  856. GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), proto_msg.get(), proto_size),
  857. "Failed to dump proto msg");
  858. if (DumpExceptionInput(op_desc_info, dump_file_path) != SUCCESS) {
  859. GELOGE(PARAM_INVALID, "Dump exception input failed");
  860. return PARAM_INVALID;
  861. }
  862. if (DumpExceptionOutput(op_desc_info, dump_file_path) != SUCCESS) {
  863. GELOGE(PARAM_INVALID, "Dump exception output failed");
  864. return PARAM_INVALID;
  865. }
  866. GELOGI("Dump exception info SUCCESS");
  867. } else {
  868. GELOGE(PARAM_INVALID, "Get op desc info failed,task id:%u,stream id:%u", iter.taskid, iter.streamid);
  869. return PARAM_INVALID;
  870. }
  871. }
  872. return SUCCESS;
  873. }
  874. } // 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