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data_dumper.cc 37 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.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. } // namespace
  70. static int32_t GetIrDataType(ge::DataType data_type) {
  71. static const std::map<ge::DataType, ge::proto::DataType> data_type_map = {
  72. {ge::DT_UNDEFINED, ge::proto::DT_UNDEFINED},
  73. {ge::DT_FLOAT, ge::proto::DT_FLOAT},
  74. {ge::DT_FLOAT16, ge::proto::DT_FLOAT16},
  75. {ge::DT_INT8, ge::proto::DT_INT8},
  76. {ge::DT_UINT8, ge::proto::DT_UINT8},
  77. {ge::DT_INT16, ge::proto::DT_INT16},
  78. {ge::DT_UINT16, ge::proto::DT_UINT16},
  79. {ge::DT_INT32, ge::proto::DT_INT32},
  80. {ge::DT_INT64, ge::proto::DT_INT64},
  81. {ge::DT_UINT32, ge::proto::DT_UINT32},
  82. {ge::DT_UINT64, ge::proto::DT_UINT64},
  83. {ge::DT_BOOL, ge::proto::DT_BOOL},
  84. {ge::DT_DOUBLE, ge::proto::DT_DOUBLE},
  85. {ge::DT_DUAL, ge::proto::DT_DUAL},
  86. {ge::DT_DUAL_SUB_INT8, ge::proto::DT_DUAL_SUB_INT8},
  87. {ge::DT_DUAL_SUB_UINT8, ge::proto::DT_DUAL_SUB_UINT8},
  88. {ge::DT_COMPLEX64, ge::proto::DT_COMPLEX64},
  89. {ge::DT_COMPLEX128, ge::proto::DT_COMPLEX128},
  90. {ge::DT_QINT8, ge::proto::DT_QINT8},
  91. {ge::DT_QINT16, ge::proto::DT_QINT16},
  92. {ge::DT_QINT32, ge::proto::DT_QINT32},
  93. {ge::DT_QUINT8, ge::proto::DT_QUINT8},
  94. {ge::DT_QUINT16, ge::proto::DT_QUINT16},
  95. {ge::DT_RESOURCE, ge::proto::DT_RESOURCE},
  96. {ge::DT_STRING_REF, ge::proto::DT_STRING_REF},
  97. {ge::DT_STRING, ge::proto::DT_STRING},
  98. {ge::DT_VARIANT, ge::proto::DT_VARIANT},
  99. };
  100. auto iter = data_type_map.find(data_type);
  101. if (iter == data_type_map.end()) {
  102. return static_cast<int32_t>(ge::proto::DT_UNDEFINED);
  103. }
  104. return static_cast<int32_t>(iter->second);
  105. }
  106. namespace ge {
  107. DataDumper::~DataDumper() {
  108. ReleaseDevMem(&dev_mem_load_);
  109. ReleaseDevMem(&dev_mem_unload_);
  110. }
  111. void DataDumper::ReleaseDevMem(void **ptr) noexcept {
  112. if (ptr == nullptr) {
  113. return;
  114. }
  115. if (*ptr != nullptr) {
  116. rtError_t rt_ret = rtFree(*ptr);
  117. if (rt_ret != RT_ERROR_NONE) {
  118. GELOGE(RT_FAILED, "Call rtFree failed, ret: 0x%X", rt_ret);
  119. }
  120. *ptr = nullptr;
  121. }
  122. }
  123. void DataDumper::SetLoopAddr(void *global_step, void *loop_per_iter, void *loop_cond) {
  124. global_step_ = reinterpret_cast<uintptr_t>(global_step);
  125. loop_per_iter_ = reinterpret_cast<uintptr_t>(loop_per_iter);
  126. loop_cond_ = reinterpret_cast<uintptr_t>(loop_cond);
  127. }
  128. void DataDumper::SaveDumpInput(const std::shared_ptr<Node> &node) {
  129. if (node != nullptr) {
  130. auto input_op_desc = node->GetOpDesc();
  131. if (input_op_desc == nullptr) {
  132. GELOGE(PARAM_INVALID, "input op desc is null.");
  133. return;
  134. }
  135. for (auto &out_data_anchor : node->GetAllOutDataAnchors()) {
  136. for (auto &dst_in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) {
  137. ge::NodePtr dst_node = dst_in_data_anchor->GetOwnerNode();
  138. auto op_desc = dst_node->GetOpDesc();
  139. if (op_desc == nullptr) {
  140. GELOGE(PARAM_INVALID, "input op desc is null.");
  141. return;
  142. }
  143. input_map_.insert(
  144. {op_desc->GetName(), {input_op_desc, dst_in_data_anchor->GetIdx(), out_data_anchor->GetIdx()}});
  145. }
  146. }
  147. }
  148. }
  149. void DataDumper::SaveEndGraphId(uint32_t task_id, uint32_t stream_id) {
  150. end_graph_task_id_ = task_id;
  151. end_graph_stream_id_ = stream_id;
  152. }
  153. void DataDumper::SaveOpDebugId(uint32_t task_id, uint32_t stream_id, void *op_debug_addr, bool is_op_debug) {
  154. op_debug_task_id_ = task_id;
  155. op_debug_stream_id_ = stream_id;
  156. op_debug_addr_ = op_debug_addr;
  157. is_op_debug_ = is_op_debug;
  158. }
  159. void DataDumper::SaveDumpTask(uint32_t task_id, uint32_t stream_id, const std::shared_ptr<OpDesc> &op_desc,
  160. uintptr_t args) {
  161. if (op_desc == nullptr) {
  162. GELOGE(PARAM_INVALID, "Opdesc is nullptr");
  163. return;
  164. }
  165. GELOGI("Save dump task %s, task id: %u, stream id: %u", op_desc->GetName().c_str(), task_id, stream_id);
  166. op_list_.push_back({task_id, stream_id, op_desc, args, true});
  167. for (auto iter = input_map_.equal_range(op_desc->GetName()); iter.first != iter.second; ++iter.first) {
  168. InnerInputMapping &inner_input_mapping = iter.first->second;
  169. auto &data_op = inner_input_mapping.data_op;
  170. if (data_op == nullptr) {
  171. GELOGE(PARAM_INVALID, "data_op is null.");
  172. return;
  173. }
  174. auto input_tensor = op_desc->GetInputDescPtr(inner_input_mapping.input_anchor_index);
  175. if (input_tensor == nullptr) {
  176. GELOGE(PARAM_INVALID, "input_tensor is null, index: %d, size: %zu.", inner_input_mapping.input_anchor_index,
  177. op_desc->GetInputsSize());
  178. return;
  179. }
  180. int64_t data_size = 0;
  181. if (AttrUtils::GetInt(input_tensor, ATTR_NAME_INPUT_ORIGIN_SIZE, data_size)) {
  182. GELOGI("Get aipp data size according to attr is %ld", data_size);
  183. } else if (TensorUtils::GetTensorSizeInBytes(*input_tensor, data_size) != SUCCESS) {
  184. GELOGE(PARAM_INVALID, "Get input size filed");
  185. return;
  186. }
  187. GELOGI("Save input dump task %s, id: %u,stream id :%u,data size :%ld", data_op->GetName().c_str(), task_id,
  188. stream_id, data_size);
  189. op_list_.push_back({task_id, stream_id, data_op, args, false, inner_input_mapping.input_anchor_index,
  190. inner_input_mapping.output_anchor_index, input_tensor->GetShape().GetDims(), data_size});
  191. }
  192. }
  193. static void SetOpMappingLoopAddr(uintptr_t step_id, uintptr_t loop_per_iter, uintptr_t loop_cond,
  194. toolkit::aicpu::dump::OpMappingInfo &op_mapping_info) {
  195. if (step_id != 0) {
  196. GELOGI("step_id exists.");
  197. op_mapping_info.set_step_id_addr(static_cast<uint64_t>(step_id));
  198. }
  199. if (loop_per_iter != 0) {
  200. GELOGI("loop_per_iter exists.");
  201. op_mapping_info.set_iterations_per_loop_addr(static_cast<uint64_t>(loop_per_iter));
  202. }
  203. if (loop_cond != 0) {
  204. GELOGI("loop_cond exists.");
  205. op_mapping_info.set_loop_cond_addr(static_cast<uint64_t>(loop_cond));
  206. }
  207. }
  208. Status DataDumper::GenerateOutput(toolkit::aicpu::dump::Output &output,
  209. const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  210. const uintptr_t &addr, size_t index) {
  211. output.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  212. output.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  213. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  214. output.mutable_shape()->add_dim(dim);
  215. }
  216. for (auto dim : tensor_descs.at(index).GetOriginShape().GetDims()) {
  217. output.mutable_origin_shape()->add_dim(dim);
  218. }
  219. int64_t output_size = 0;
  220. if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), output_size) != SUCCESS) {
  221. REPORT_CALL_ERROR("E19999", "Get tensor size fail");
  222. GELOGE(PARAM_INVALID, "Get output size filed");
  223. return PARAM_INVALID;
  224. }
  225. GELOGD("Get output size in dump is %ld", output_size);
  226. std::string origin_name;
  227. int32_t origin_output_index = -1;
  228. (void)AttrUtils::GetStr(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  229. (void)AttrUtils::GetInt(&tensor_descs.at(index), ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  230. output.set_size(output_size);
  231. output.set_original_name(origin_name);
  232. output.set_original_output_index(origin_output_index);
  233. output.set_original_output_format(static_cast<int32_t>(tensor_descs.at(index).GetOriginFormat()));
  234. output.set_original_output_data_type(static_cast<int32_t>(tensor_descs.at(index).GetOriginDataType()));
  235. output.set_address(static_cast<uint64_t>(addr));
  236. return SUCCESS;
  237. }
  238. Status DataDumper::DumpRefOutput(const DataDumper::InnerDumpInfo &inner_dump_info,
  239. toolkit::aicpu::dump::Output &output,
  240. size_t i, const std::string &node_name_index) {
  241. std::string dump_op_name;
  242. std::string input_or_output;
  243. size_t index;
  244. // parser and find which node's input or output tensor desc is chosen for dump info
  245. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  246. GELOGE(PARAM_INVALID, "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  247. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  248. return PARAM_INVALID;
  249. }
  250. GE_CHECK_NOTNULL(compute_graph_);
  251. auto replace_node = compute_graph_->FindNode(dump_op_name);
  252. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  253. "Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  254. " cannot find redirect node[%s].",
  255. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  256. dump_op_name.c_str());
  257. auto replace_opdesc = replace_node->GetOpDesc();
  258. GE_CHECK_NOTNULL(replace_opdesc);
  259. auto iter = ref_info_.find(replace_opdesc);
  260. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  261. "Op [%s] output desc[%zu] cannot find any saved redirect node[%s]'s info.",
  262. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  263. GE_CHECK_NOTNULL(iter->second);
  264. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  265. if (input_or_output == kDumpInput) {
  266. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  267. addr += kAddrLen * index;
  268. GE_CHK_STATUS_RET(GenerateOutput(output, replace_input_descs, addr, index), "Generate output failed");
  269. } else if (input_or_output == kDumpOutput) {
  270. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  271. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  272. addr += (index + replace_input_size) * kAddrLen;
  273. GE_CHK_STATUS_RET(GenerateOutput(output, replace_output_descs, addr, index), "Generate output failed");
  274. }
  275. GELOGD("Op [%s] output desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  276. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  277. return SUCCESS;
  278. }
  279. Status DataDumper::DumpOutputWithTask(const InnerDumpInfo &inner_dump_info, toolkit::aicpu::dump::Task &task) {
  280. const auto &output_descs = inner_dump_info.op->GetAllOutputsDesc();
  281. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(*runtime_param_, inner_dump_info.op);
  282. std::vector<int64_t> v_memory_type;
  283. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_OUTPUT_MEM_TYPE_LIST, v_memory_type);
  284. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != output_descs.size()),
  285. "DumpOutputWithTask[%s], output size[%zu], output memory type size[%zu]",
  286. inner_dump_info.op->GetName().c_str(), output_descs.size(),
  287. v_memory_type.size());
  288. size_t no_need_dump_output_num = 0;
  289. for (size_t i = 0; i < output_descs.size(); ++i) {
  290. toolkit::aicpu::dump::Output output;
  291. std::string node_name_index;
  292. const auto &output_desc = output_descs.at(i);
  293. int32_t calc_type = 0;
  294. bool has_calc_type = ge::AttrUtils::GetInt(output_desc, ATTR_NAME_MEMORY_SIZE_CALC_TYPE, calc_type);
  295. if (has_calc_type && (calc_type == static_cast<int32_t>(ge::MemorySizeCalcType::ALWAYS_EMPTY))) {
  296. GELOGD("Node[%s] output[index:%zu] [name:%s] is an optional output, don't need to dump this output.",
  297. inner_dump_info.op->GetName().c_str(), i, output_desc.GetName().c_str());
  298. ++no_need_dump_output_num;
  299. continue;
  300. }
  301. if (output_descs.size() - no_need_dump_output_num < output_addrs.size()) {
  302. REPORT_INNER_ERROR("E19999", "The number of output does not match in op:%s(%s). The size[%zu] of output which is "
  303. "no need to dump should not greater than the size[%zu] of output descs minus the size[%zu] of "
  304. "output which is need to dump.", inner_dump_info.op->GetName().c_str(),
  305. inner_dump_info.op->GetType().c_str(), no_need_dump_output_num, output_descs.size(),
  306. output_addrs.size());
  307. GELOGE(PARAM_INVALID, "The number of output does not match in op:%s(%s). The size[%zu] of output which is no need"
  308. " to dump should not greater than the size[%zu] of output descs minus the size[%zu] of output which is "
  309. "need to dump.", inner_dump_info.op->GetName().c_str(), inner_dump_info.op->GetType().c_str(),
  310. no_need_dump_output_num, output_descs.size(), output_addrs.size());
  311. return PARAM_INVALID;
  312. }
  313. // check dump output tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  314. if (AttrUtils::GetStr(&output_desc, ATTR_DATA_DUMP_REF, node_name_index)) {
  315. GE_CHK_STATUS_RET(DumpRefOutput(inner_dump_info, output, i, node_name_index), "DumpRefOutput failed");
  316. task.mutable_output()->Add(std::move(output));
  317. } else {
  318. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  319. GELOGI("[L1Fusion] DumpOutputWithTask[%s] output[%zu] is l1 addr.", inner_dump_info.op->GetName().c_str(), i);
  320. int64_t output_size = 0;
  321. if (TensorUtils::GetTensorSizeInBytes(output_descs.at(i), output_size) != SUCCESS) {
  322. REPORT_CALL_ERROR("E19999", "Get output tensor size fail in op:%s(%s), index:%zu",
  323. inner_dump_info.op->GetName().c_str(), inner_dump_info.op->GetType().c_str(), i);
  324. GELOGE(PARAM_INVALID, "Get output size failed.");
  325. return PARAM_INVALID;
  326. }
  327. GELOGI("Get output size of l1_fusion_dump is %ld", output_size);
  328. GenerateOpBuffer(output_size, task);
  329. } else {
  330. const auto input_size = inner_dump_info.op->GetInputsSize();
  331. auto addr = inner_dump_info.args + (i + input_size) * kAddrLen;
  332. GE_CHK_STATUS_RET(GenerateOutput(output, output_descs, addr, i), "Generate output failed");
  333. task.mutable_output()->Add(std::move(output));
  334. }
  335. }
  336. }
  337. return SUCCESS;
  338. }
  339. Status DataDumper::DumpOutput(const InnerDumpInfo &inner_dump_info, toolkit::aicpu::dump::Task &task) {
  340. GELOGI("Start dump output");
  341. if (inner_dump_info.is_task) {
  342. // tbe or aicpu op, these ops are with task
  343. return DumpOutputWithTask(inner_dump_info, task);
  344. }
  345. // else data, const or variable op
  346. toolkit::aicpu::dump::Output output;
  347. auto output_tensor = inner_dump_info.op->GetOutputDescPtr(inner_dump_info.output_anchor_index);
  348. const std::vector<void *> output_addrs = ModelUtils::GetOutputDataAddrs(*runtime_param_, inner_dump_info.op);
  349. if (output_tensor == nullptr) {
  350. REPORT_INNER_ERROR("E19999", "output_desc tensor is nullptr in op:%s(%s), index:%u, "
  351. "check invalid",
  352. inner_dump_info.op->GetName().c_str(), inner_dump_info.op->GetType().c_str(),
  353. inner_dump_info.output_anchor_index);
  354. GELOGE(PARAM_INVALID, "output_tensor is null, index: %d, size: %zu.", inner_dump_info.output_anchor_index,
  355. inner_dump_info.op->GetOutputsSize());
  356. return PARAM_INVALID;
  357. }
  358. output.set_data_type(static_cast<int32_t>(GetIrDataType(output_tensor->GetDataType())));
  359. output.set_format(static_cast<int32_t>(output_tensor->GetFormat()));
  360. for (auto dim : inner_dump_info.dims) {
  361. output.mutable_shape()->add_dim(dim);
  362. }
  363. std::string origin_name;
  364. int32_t origin_output_index = -1;
  365. (void)AttrUtils::GetStr(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_NAME, origin_name);
  366. (void)AttrUtils::GetInt(output_tensor, ATTR_NAME_DATA_DUMP_ORIGIN_OUTPUT_INDEX, origin_output_index);
  367. output.set_size(inner_dump_info.data_size);
  368. output.set_original_name(origin_name);
  369. output.set_original_output_index(origin_output_index);
  370. output.set_original_output_format(static_cast<int32_t>(output_tensor->GetOriginFormat()));
  371. output.set_original_output_data_type(static_cast<int32_t>(output_tensor->GetOriginDataType()));
  372. // due to lhisi virtual addr bug, cannot use args now
  373. if (inner_dump_info.output_anchor_index >= static_cast<int>(output_addrs.size())) {
  374. REPORT_INNER_ERROR("E19999", "output_anchor_index:%u >= output addr size:%zu in op:%s(%s), "
  375. "check invalid", inner_dump_info.output_anchor_index, output_addrs.size(),
  376. inner_dump_info.op->GetName().c_str(), inner_dump_info.op->GetType().c_str());
  377. GELOGE(FAILED, "Index is out of range.");
  378. return FAILED;
  379. }
  380. auto data_addr = inner_dump_info.args + kAddrLen * static_cast<uint32_t>(inner_dump_info.input_anchor_index);
  381. output.set_address(static_cast<uint64_t>(data_addr));
  382. task.mutable_output()->Add(std::move(output));
  383. return SUCCESS;
  384. }
  385. Status DataDumper::GenerateInput(toolkit::aicpu::dump::Input &input, const OpDesc::Vistor<GeTensorDesc> &tensor_descs,
  386. const uintptr_t &addr, size_t index) {
  387. input.set_data_type(static_cast<int32_t>(GetIrDataType(tensor_descs.at(index).GetDataType())));
  388. input.set_format(static_cast<int32_t>(tensor_descs.at(index).GetFormat()));
  389. for (auto dim : tensor_descs.at(index).GetShape().GetDims()) {
  390. input.mutable_shape()->add_dim(dim);
  391. }
  392. for (auto dim : tensor_descs.at(index).GetOriginShape().GetDims()) {
  393. input.mutable_origin_shape()->add_dim(dim);
  394. }
  395. int64_t input_size = 0;
  396. if (AttrUtils::GetInt(tensor_descs.at(index), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  397. GELOGI("Get aipp input size according to attr is %ld", input_size);
  398. } else if (TensorUtils::GetTensorSizeInBytes(tensor_descs.at(index), input_size) != SUCCESS) {
  399. REPORT_CALL_ERROR("E19999", "Get tensor size fail");
  400. GELOGE(PARAM_INVALID, "Get input size filed");
  401. return PARAM_INVALID;
  402. }
  403. GELOGD("Get input size in dump is %ld", input_size);
  404. input.set_size(input_size);
  405. input.set_address(static_cast<uint64_t>(addr));
  406. return SUCCESS;
  407. }
  408. Status DataDumper::DumpRefInput(const DataDumper::InnerDumpInfo &inner_dump_info, toolkit::aicpu::dump::Input &input,
  409. size_t i, const std::string &node_name_index) {
  410. std::string dump_op_name;
  411. std::string input_or_output;
  412. size_t index;
  413. // parser and find which node's input or output tensor desc is chosen for dump info
  414. if (!ParseNameIndex(node_name_index, dump_op_name, input_or_output, index)) {
  415. GELOGE(PARAM_INVALID, "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].",
  416. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str());
  417. return PARAM_INVALID;
  418. }
  419. GE_CHECK_NOTNULL(compute_graph_);
  420. auto replace_node = compute_graph_->FindNode(dump_op_name);
  421. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(replace_node == nullptr,
  422. "Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s],"
  423. " cannot find redirect node[%s].",
  424. inner_dump_info.op->GetName().c_str(), i, node_name_index.c_str(),
  425. dump_op_name.c_str());
  426. auto replace_opdesc = replace_node->GetOpDesc();
  427. GE_CHECK_NOTNULL(replace_opdesc);
  428. auto iter = ref_info_.find(replace_opdesc);
  429. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(iter == ref_info_.end(),
  430. "Op [%s] input desc[%zu] cannot find any saved redirect node[%s]'s info.",
  431. inner_dump_info.op->GetName().c_str(), i, replace_opdesc->GetName().c_str());
  432. GE_CHECK_NOTNULL(iter->second);
  433. auto addr = reinterpret_cast<uintptr_t>(iter->second);
  434. if (input_or_output == kDumpInput) {
  435. const auto &replace_input_descs = replace_opdesc->GetAllInputsDesc();
  436. addr += kAddrLen * index;
  437. GE_CHK_STATUS_RET(GenerateInput(input, replace_input_descs, addr, index), "Generate input failed");
  438. } else if (input_or_output == kDumpOutput) {
  439. const auto &replace_output_descs = replace_opdesc->GetAllOutputsDesc();
  440. const auto replace_input_size = replace_opdesc->GetAllInputsDesc().size();
  441. addr += (index + replace_input_size) * kAddrLen;
  442. GE_CHK_STATUS_RET(GenerateInput(input, replace_output_descs, addr, index), "Generate input failed");
  443. }
  444. GELOGD("Op [%s] input desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu]",
  445. inner_dump_info.op->GetName().c_str(), i, dump_op_name.c_str(), input_or_output.c_str(), index);
  446. return SUCCESS;
  447. }
  448. Status DataDumper::DumpInput(const InnerDumpInfo &inner_dump_info, toolkit::aicpu::dump::Task &task) {
  449. GELOGI("Start dump input");
  450. const auto &input_descs = inner_dump_info.op->GetAllInputsDesc();
  451. const std::vector<void *> input_addrs = ModelUtils::GetInputDataAddrs(*runtime_param_, inner_dump_info.op);
  452. if (input_descs.size() != input_addrs.size()) {
  453. REPORT_INNER_ERROR("E19999", "input_desc size:%zu != input addr size:%zu in op:%s(%s)",
  454. input_descs.size(), input_addrs.size(),
  455. inner_dump_info.op->GetName().c_str(), inner_dump_info.op->GetType().c_str());
  456. GELOGE(PARAM_INVALID, "Invalid input desc addrs size %zu, op %s has %zu input desc.", input_addrs.size(),
  457. inner_dump_info.op->GetName().c_str(), input_descs.size());
  458. return PARAM_INVALID;
  459. }
  460. std::vector<int64_t> v_memory_type;
  461. bool has_mem_type_attr = ge::AttrUtils::GetListInt(inner_dump_info.op, ATTR_NAME_INPUT_MEM_TYPE_LIST, v_memory_type);
  462. GE_RT_PARAM_INVALID_WITH_LOG_IF_TRUE(has_mem_type_attr && (v_memory_type.size() != input_descs.size()),
  463. "DumpInput[%s], input size[%zu], input memory type size[%zu]",
  464. inner_dump_info.op->GetName().c_str(), input_descs.size(), v_memory_type.size());
  465. for (size_t i = 0; i < input_descs.size(); ++i) {
  466. toolkit::aicpu::dump::Input input;
  467. std::string node_name_index;
  468. // check dump input tensor desc is redirected by attr ATTR_DATA_DUMP_REF
  469. if (AttrUtils::GetStr(&input_descs.at(i), ATTR_DATA_DUMP_REF, node_name_index)) {
  470. GE_CHK_STATUS_RET(DumpRefInput(inner_dump_info, input, i, node_name_index), "DumpRefInput failed");
  471. task.mutable_input()->Add(std::move(input));
  472. // normal dump without attr
  473. } else {
  474. if (IsTensorDescWithSkipDumpAddrType(has_mem_type_attr, v_memory_type, i)) {
  475. GELOGI("[L1Fusion] DumpInput[%s] input[%zu] is l1 addr", inner_dump_info.op->GetName().c_str(), i);
  476. int64_t input_size = 0;
  477. if (AttrUtils::GetInt(input_descs.at(i), ATTR_NAME_INPUT_ORIGIN_SIZE, input_size)) {
  478. GELOGI("Get aipp input size according to attr is %ld", input_size);
  479. } else if (TensorUtils::GetTensorSizeInBytes(input_descs.at(i), input_size) != SUCCESS) {
  480. REPORT_CALL_ERROR("E19999", "Get input tensor size fail in op:%s(%s), index:%zu",
  481. inner_dump_info.op->GetName().c_str(), inner_dump_info.op->GetType().c_str(), i);
  482. GELOGE(PARAM_INVALID, "Get input size failed.");
  483. return PARAM_INVALID;
  484. }
  485. GELOGI("Get input size of l1_fusion_dump is %ld", input_size);
  486. GenerateOpBuffer(input_size, task);
  487. } else {
  488. auto addr = inner_dump_info.args + kAddrLen * i;
  489. GE_CHK_STATUS_RET(GenerateInput(input, input_descs, addr, i), "Generate input failed");
  490. task.mutable_input()->Add(std::move(input));
  491. }
  492. }
  493. }
  494. return SUCCESS;
  495. }
  496. void DataDumper::GenerateOpBuffer(const int64_t &size, toolkit::aicpu::dump::Task &task) {
  497. toolkit::aicpu::dump::OpBuffer op_buffer;
  498. op_buffer.set_buffer_type(toolkit::aicpu::dump::BufferType::L1);
  499. op_buffer.set_address(reinterpret_cast<uintptr_t>(l1_fusion_addr_));
  500. op_buffer.set_size(size);
  501. task.mutable_buffer()->Add(std::move(op_buffer));
  502. }
  503. Status DataDumper::ExecuteLoadDumpInfo(toolkit::aicpu::dump::OpMappingInfo &op_mapping_info) {
  504. std::string proto_str;
  505. size_t proto_size = op_mapping_info.ByteSizeLong();
  506. bool ret = op_mapping_info.SerializeToString(&proto_str);
  507. if (!ret || proto_size == 0) {
  508. REPORT_INNER_ERROR("E19999", "Serialize proto to string fail");
  509. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  510. return PARAM_INVALID;
  511. }
  512. if (dev_mem_load_ != nullptr) {
  513. GELOGW("dev_mem_load_ has been used.");
  514. ReleaseDevMem(&dev_mem_load_);
  515. }
  516. rtError_t rt_ret = rtMalloc(&dev_mem_load_, proto_size, RT_MEMORY_HBM);
  517. if (rt_ret != RT_ERROR_NONE) {
  518. REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%zu, ret:0x%X",
  519. proto_size, rt_ret);
  520. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  521. return RT_ERROR_TO_GE_STATUS(rt_ret);
  522. }
  523. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "load dump information.", proto_size)
  524. rt_ret = rtMemcpy(dev_mem_load_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  525. if (rt_ret != RT_ERROR_NONE) {
  526. REPORT_CALL_ERROR("E19999", "Call rtMemcpy failed, size:%zu, ret:0x%X",
  527. proto_size, rt_ret);
  528. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  529. return RT_ERROR_TO_GE_STATUS(rt_ret);
  530. }
  531. rt_ret = rtDatadumpInfoLoad(dev_mem_load_, proto_size);
  532. if (rt_ret != RT_ERROR_NONE) {
  533. REPORT_CALL_ERROR("E19999", "Call rtDatadumpInfoLoad failed, ret:0x%X", rt_ret);
  534. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  535. return RT_ERROR_TO_GE_STATUS(rt_ret);
  536. }
  537. load_flag_ = true;
  538. GELOGI("LoadDumpInfo success, proto size is: %zu.", proto_size);
  539. return SUCCESS;
  540. }
  541. Status DataDumper::ExecuteUnLoadDumpInfo(toolkit::aicpu::dump::OpMappingInfo &op_mapping_info) {
  542. std::string proto_str;
  543. size_t proto_size = op_mapping_info.ByteSizeLong();
  544. bool ret = op_mapping_info.SerializeToString(&proto_str);
  545. if (!ret || proto_size == 0) {
  546. REPORT_INNER_ERROR("E19999", "Serialize proto to string fail");
  547. GELOGE(PARAM_INVALID, "Protobuf SerializeToString failed, proto size %zu.", proto_size);
  548. return PARAM_INVALID;
  549. }
  550. if (dev_mem_unload_ != nullptr) {
  551. GELOGW("dev_mem_unload_ has been used.");
  552. ReleaseDevMem(&dev_mem_unload_);
  553. }
  554. rtError_t rt_ret = rtMalloc(&dev_mem_unload_, proto_size, RT_MEMORY_HBM);
  555. if (rt_ret != RT_ERROR_NONE) {
  556. REPORT_CALL_ERROR("E19999", "Call rtMalloc failed, size:%zu, ret:0x%X",
  557. proto_size, rt_ret);
  558. GELOGE(RT_FAILED, "Call rtMalloc failed, ret: 0x%X", rt_ret);
  559. return RT_ERROR_TO_GE_STATUS(rt_ret);
  560. }
  561. GE_PRINT_DYNAMIC_MEMORY(rtMalloc, "unload dump information.", proto_size)
  562. rt_ret = rtMemcpy(dev_mem_unload_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE);
  563. if (rt_ret != RT_ERROR_NONE) {
  564. REPORT_CALL_ERROR("E19999", "Call rtMemcpy failed, size:%zu, ret:0x%X",
  565. proto_size, rt_ret);
  566. GELOGE(RT_FAILED, "Call rtMemcpy failed, ret: 0x%X", rt_ret);
  567. return RT_ERROR_TO_GE_STATUS(rt_ret);
  568. }
  569. rt_ret = rtDatadumpInfoLoad(dev_mem_unload_, proto_size);
  570. if (rt_ret != RT_ERROR_NONE) {
  571. REPORT_CALL_ERROR("E19999", "Call rtDatadumpInfoLoad failed, ret:0x%X", rt_ret);
  572. GELOGE(RT_FAILED, "Call rtDatadumpInfoLoad failed, ret: 0x%X", rt_ret);
  573. return RT_ERROR_TO_GE_STATUS(rt_ret);
  574. }
  575. load_flag_ = false;
  576. GELOGI("UnloadDumpInfo success, proto size is: %zu.", proto_size);
  577. return SUCCESS;
  578. }
  579. Status DataDumper::LoadDumpInfo() {
  580. std::string dump_list_key;
  581. PrintCheckLog(dump_list_key);
  582. if (op_list_.empty()) {
  583. GELOGD("op_list_ is empty");
  584. }
  585. toolkit::aicpu::dump::OpMappingInfo op_mapping_info;
  586. auto dump_path = dump_properties_.GetDumpPath() + std::to_string(device_id_) + "/";
  587. op_mapping_info.set_dump_path(dump_path);
  588. op_mapping_info.set_model_name(dump_list_key);
  589. op_mapping_info.set_model_id(model_id_);
  590. op_mapping_info.set_flag(kAicpuLoadFlag);
  591. op_mapping_info.set_dump_step(dump_properties_.GetDumpStep());
  592. SetOpMappingLoopAddr(global_step_, loop_per_iter_, loop_cond_, op_mapping_info);
  593. auto ret = BuildTaskInfo(op_mapping_info);
  594. if (ret != SUCCESS) {
  595. GELOGE(ret, "Build task info failed");
  596. return ret;
  597. }
  598. SetEndGraphIdToAicpu(end_graph_task_id_, end_graph_stream_id_, op_mapping_info);
  599. SetOpDebugIdToAicpu(op_debug_task_id_, op_debug_stream_id_, op_debug_addr_, op_mapping_info);
  600. if (!op_list_.empty() || is_op_debug_ || is_end_graph_) {
  601. auto ret = ExecuteLoadDumpInfo(op_mapping_info);
  602. if (ret != SUCCESS) {
  603. GELOGE(ret, "Execute load dump info failed");
  604. return ret;
  605. }
  606. }
  607. return SUCCESS;
  608. }
  609. Status DataDumper::BuildTaskInfo(toolkit::aicpu::dump::OpMappingInfo &op_mapping_info) {
  610. for (const auto &op_iter : op_list_) {
  611. auto op_desc = op_iter.op;
  612. GELOGD("Op %s in model begin to add task in op_mapping_info", op_desc->GetName().c_str());
  613. toolkit::aicpu::dump::Task task;
  614. task.set_end_graph(false);
  615. task.set_task_id(op_iter.task_id);
  616. task.set_stream_id(op_iter.stream_id);
  617. task.mutable_op()->set_op_name(op_desc->GetName());
  618. task.mutable_op()->set_op_type(op_desc->GetType());
  619. if (dump_properties_.GetDumpMode() == kDumpOutput) {
  620. Status ret = DumpOutput(op_iter, task);
  621. if (ret != SUCCESS) {
  622. GELOGE(ret, "Dump output failed");
  623. return ret;
  624. }
  625. op_mapping_info.mutable_task()->Add(std::move(task));
  626. continue;
  627. }
  628. if (dump_properties_.GetDumpMode() == kDumpInput) {
  629. if (op_iter.is_task) {
  630. Status ret = DumpInput(op_iter, task);
  631. if (ret != SUCCESS) {
  632. GELOGE(ret, "Dump input failed");
  633. return ret;
  634. }
  635. }
  636. op_mapping_info.mutable_task()->Add(std::move(task));
  637. continue;
  638. }
  639. if (dump_properties_.GetDumpMode() == kDumpAll || is_op_debug_) {
  640. auto ret = DumpOutput(op_iter, task);
  641. if (ret != SUCCESS) {
  642. GELOGE(ret, "Dump output failed when in dumping all");
  643. return ret;
  644. }
  645. if (op_iter.is_task) {
  646. ret = DumpInput(op_iter, task);
  647. if (ret != SUCCESS) {
  648. GELOGE(ret, "Dump input failed when in dumping all");
  649. return ret;
  650. }
  651. }
  652. op_mapping_info.mutable_task()->Add(std::move(task));
  653. continue;
  654. }
  655. }
  656. return SUCCESS;
  657. }
  658. void DataDumper::SetEndGraphIdToAicpu(uint32_t task_id, uint32_t stream_id,
  659. toolkit::aicpu::dump::OpMappingInfo &op_mapping_info) {
  660. if (dump_properties_.GetDumpMode() == kDumpOutput || dump_properties_.GetDumpMode() == kDumpInput ||
  661. dump_properties_.GetDumpMode() == kDumpAll) {
  662. toolkit::aicpu::dump::Task task;
  663. task.set_end_graph(true);
  664. task.set_task_id(end_graph_task_id_);
  665. task.set_stream_id(end_graph_stream_id_);
  666. task.mutable_op()->set_op_name(NODE_NAME_END_GRAPH);
  667. task.mutable_op()->set_op_type(ENDGRAPH);
  668. op_mapping_info.mutable_task()->Add(std::move(task));
  669. is_end_graph_ = true;
  670. if (op_mapping_info.model_name_param_case() == toolkit::aicpu::dump::OpMappingInfo::kModelName) {
  671. GELOGI("Add end_graph_info to aicpu, model_name is %s, task_id is %u, stream_id is %u",
  672. op_mapping_info.model_name().c_str(), end_graph_task_id_, end_graph_stream_id_);
  673. return;
  674. }
  675. GELOGI("Add end_graph_info to aicpu, task_id is %u, stream_id is %u", end_graph_task_id_, end_graph_stream_id_);
  676. }
  677. }
  678. void DataDumper::SetOpDebugIdToAicpu(uint32_t task_id, uint32_t stream_id, void *op_debug_addr,
  679. toolkit::aicpu::dump::OpMappingInfo &op_mapping_info) {
  680. if (is_op_debug_) {
  681. GELOGI("add op_debug_info to aicpu, task_id is %u, stream_id is %u", task_id, stream_id);
  682. toolkit::aicpu::dump::Task task;
  683. task.set_end_graph(false);
  684. task.set_task_id(task_id);
  685. task.set_stream_id(stream_id);
  686. task.mutable_op()->set_op_name(NODE_NAME_OP_DEBUG);
  687. task.mutable_op()->set_op_type(OP_TYPE_OP_DEBUG);
  688. // set output
  689. toolkit::aicpu::dump::Output output;
  690. output.set_data_type(DT_UINT8);
  691. output.set_format(FORMAT_ND);
  692. output.mutable_shape()->add_dim(kOpDebugShape);
  693. output.set_original_name(NODE_NAME_OP_DEBUG);
  694. output.set_original_output_index(0);
  695. output.set_original_output_format(FORMAT_ND);
  696. output.set_original_output_data_type(DT_UINT8);
  697. // due to lhisi virtual addr bug, cannot use args now
  698. output.set_address(static_cast<uint64_t>(reinterpret_cast<uintptr_t>(op_debug_addr)));
  699. output.set_size(kOpDebugSize);
  700. task.mutable_output()->Add(std::move(output));
  701. op_mapping_info.mutable_task()->Add(std::move(task));
  702. }
  703. }
  704. Status DataDumper::UnloadDumpInfo() {
  705. if (!load_flag_) {
  706. load_flag_ = false;
  707. return SUCCESS;
  708. }
  709. GELOGI("UnloadDumpInfo start.");
  710. toolkit::aicpu::dump::OpMappingInfo op_mapping_info;
  711. op_mapping_info.set_model_id(model_id_);
  712. op_mapping_info.set_flag(kAicpuUnloadFlag);
  713. for (const auto &op_iter : op_list_) {
  714. toolkit::aicpu::dump::Task task;
  715. task.set_task_id(op_iter.task_id);
  716. task.set_stream_id(op_iter.stream_id);
  717. op_mapping_info.mutable_task()->Add(std::move(task));
  718. }
  719. auto ret = ExecuteUnLoadDumpInfo(op_mapping_info);
  720. if (ret != SUCCESS) {
  721. GELOGE(ret, "Execute unload dump info failed");
  722. return ret;
  723. }
  724. return SUCCESS;
  725. }
  726. void DataDumper::DumpShrink() {
  727. compute_graph_.reset();
  728. input_map_.clear();
  729. ref_info_.clear();
  730. }
  731. void DataDumper::PrintCheckLog(string &dump_list_key) {
  732. std::set<std::string> model_list = dump_properties_.GetAllDumpModel();
  733. if (model_list.empty()) {
  734. return;
  735. }
  736. bool not_find_by_omname = model_list.find(om_name_) == model_list.end();
  737. bool not_find_by_modelname = model_list.find(model_name_) == model_list.end();
  738. dump_list_key = not_find_by_omname ? model_name_ : om_name_;
  739. GELOGI("%zu op need dump in known shape model %s.", op_list_.size(), dump_list_key.c_str());
  740. if (model_list.find(DUMP_ALL_MODEL) == model_list.end()) {
  741. if (not_find_by_omname && not_find_by_modelname) {
  742. std::string model_list_str;
  743. for (auto &model : model_list) {
  744. model_list_str += "[" + model + "].";
  745. }
  746. GELOGW("Model %s will not be set to dump, dump list: %s", dump_list_key.c_str(), model_list_str.c_str());
  747. return;
  748. }
  749. }
  750. std::set<std::string> config_dump_op_list = dump_properties_.GetPropertyValue(dump_list_key);
  751. std::set<std::string> dump_op_list;
  752. for (auto &inner_dump_info : op_list_) {
  753. // oplist value OpDescPtr is not nullptr
  754. dump_op_list.insert(inner_dump_info.op->GetName());
  755. }
  756. for (auto &dump_op : config_dump_op_list) {
  757. if (dump_op_list.find(dump_op) == dump_op_list.end()) {
  758. 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());
  759. }
  760. }
  761. }
  762. } // 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