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tH@H9Hq(LHEпI1`IH HH  HLkA5PH ATAVjP-1-QH=.PHupRH=ܡ&HH=סHԡHHʡHˡ4H.H5H=lJTH=h{&HtH=McH`HmHVHW3HK.H5$H=I>PJH%HUH5L2^?PJHHUH5wL ^DH=>PUHuQGH=aPHuPwHEHUH5CQHHI]L LCQH5 H=Hٺ.1_HEHHxH9[H~YL ܟHHHݟH HH@Htx tH@HuH9H(LHEпI1}IHHH 2HihA.PH3ATAVjP-1;*nfDH=!4$@H-H=HH&HHK1H,H5ݞH=FG@HUH5`L[H=xt PHuN{PJHߋPJHPJHHEHUH57OHHI[L L7OH5H=Hٺ*1]HEHHxH9_HrWL НHHHѝH@HH@Htx tH@HuH9H(LHEпI1mIHCHH "HYfA*PH#ATAVjP-1+(^fDH=$"HwKHk1IHHL$MtsI$IHK%fDHHtXHH1IHHHI9uAI9uI?HsHWH;VuHt 9uI$HtH[]A\A]A^A_DH1[]A\A]A^A_f.DH=(mtG~fDGPW2ff.ff.UHAVATSH8H^0dH%(HE1HgHsIH]HHUHL`?HLAHUHzH;=Tku2HH@PHMdH3 %(He[A\A^]H=@lJHuHE1HEfH9H(H1H] IHwHH VHIAYPHaATSjP-1 HEH0HxH;=ojt%H=kP Hu11fJqr"fH]HUH5X1H=L vL^1H5H=HٺY1?HEHxH;=i$H9L t>HHHHfHH@Hx tH@@H=tHH=HHHHH H5qH=ʿE(RHUH5{H<H=jt.PHu/PJHcPJHHHEHxH;=ht HuH[אfDUHAWAVAUATISHPHH8H{hdH%(HE1/HtmHE1EEHEHEHHEHEHHmL`H@LPHH0ID$HPHPHDžXHxH$Hm1Lh H@(L`HH(IEH`H`H@H|HJmH{PLpH@0LPHH IFHPHlHDžpHDžxHDžHDžHHDžHDžHPHvlHhHHdlH@H`H:kHHh"HkfHsH{hDžHHhHfHHH{H5-IGHL8MLAH{HLb-H{H5\lM-HfL8HIHHHHHGH9ZHjoZYH8HHHHCHHHxH;=eH$kHHPHkHhHHkH@H`HeHHhHHxH;=9e#HiH{PHHh,LPH H{hIFH(HPL`IEH0H`LPID$HPHiHDžXHHKH]dH3%(H8He[A\A]A^A_]fHHj^_HHLHHDH`H@H|w %3H8Hs`H=0etfPHH*H=et&P1HF* PJHDPJHIH}LUIHHHxH;=hct HFRH8H8HH;=EctHH/IHHbHzHH;=cHhHgH{PHHhs*LPH IFMHPL`H(IEH`LPH0ID$HPHDžXHgH{hHHLCHLPH0ID$IHPHDžXH=]cHOt0HH( IyIBHJff.UHAWAVAUATISAIEHHiedH%(HE1-4Mtt&HEdH3%([He[A\A]A^A_]@AAAuMtLLINHHPPHPH}HHEHHHHHEL-`HxHXL9YHEHUAjI)H9HH@"HEHEHU1HxHUHHXH@HHEHuHxLH*,EAPHEHPHHHpHEHhH/L8\v\HuvHH5]vHMHH@Htx tH@HuH.vHMH9HXH(iHU1H`H`IHapH $hAWAPRHjP-1HEH0HxL9HEHxL9L}LIL9H=8`AGHH%fDH0)HH5`H=^H+-11IHRHA5H HZPG-X11IH HH HOA9P-1OY^rHEHEH9@*HEH]H9Ht0IIHxL9LHH9IuHEHH H=^PHu.$yf-Q0L}$ILL9H;]*HEHHHH9H5H=`H1NHHELmLeIM9IHzH;=\dLHIH=rHrH=rrHrHrHrHrH H5rH=HrH5HXHUH5!o/k@HPHHHU1Hp6HpIHHH zAPAW-RHP1HEH HxL9oH=\tfPPHX8"?H=\tAPHu "fDAGPAW)PJH뙋PJHH=2\t#P>HH!-PJHEtuAPtlHPH}DH] H*L0KHHH@HwHLHH@Hx tH@PJH-Y-HPH}H]1pIHH SHAFP-1?XHEZHxH;=YRHuDf.H9IHEHr(HHH]Le1IHcHSH 'AVH8ATjPAF-1HEL-OYH0HxL9uJHEHxL9HHsHEHUH5lHHH,SHuHHEL-XHxL9t HuHEHxL9HHHEHxL9t HuHEHxL9t Hu}HEHxL9HH`pH=YHOt3LrH}HpfBHJHtHHHEHxH;=W4Hu&HL-Wf.H=XtG~fDGPW^ff.UHATSH dH%(HE1Ht@1H;Wr(H1HMdH3 %(ZHe[A\]HT@HtHɐH]HUH5XH*L X~L^H5H=pHٺ!1,HEHxH;=Vy$H&L lHmH2HlHfDHH@Ht x tH@H9H(H1H]IH}HH H5A!PHATSjP-1ZHEH0HxH;=UPH=!l4"H-lH=llHlH&lHlHlKH H5kH=F@HUH5`hH(H=xVtJPkHu]H=NVt+PHu PJH뵋PJHAHHEHxH;=Tt HuHf.UHAVAUATSIH dH%(HE1H"LƉ==}t,1ۅu~HMdH3 %(%He[A\A]A^]@1-P7'uĿ1fIHHH H }A1P11-5XZ냐HEHUH5HHIc'L L8LH5H=*Hٺ41)HEL%SHxL9hߐHS#HiAHiHHiHDHH@Htx tH@HuH9tH(LݐHEпI1MIH7HH kH92A4PHSAUjP-1 HEH0HxL9P?DސHk"L hHhH)HhHDHH@Htx wH@DH9~ HEH(HIܐLmп1OIHhH lSHKATAUA,hP-1HEL%QH0HxL9$HUH5L1%HLKH5_hH=AL-1Q'HEY^HxL9@HEHUH54dHI$H=agtHmgH=Fg\gHYgHfgHOgHPgHD H5gH=K@HUH5cL5$H=fHfH=ffHfHfHfHfH H5fH=a@H=@QPxHujf.H=QPHu fH=PtlPFHu[8fDH=PtGPHu+PJHHPJHrPJH듋PJHHHEHxL9uHHHEHxH;=NtHu(@UHAWAVAUATSHHHudH%(HE1HHG0IHSLpL}HELHHLHE""H5qNHHEHhNHxH9Hu1LLL}LL!H5~NL<4HEHxH9HuLr1HMdH3 %(He[A\A]A^A_]fDH]H5MH:H5MH#H]H5MHH5MHLmHULL H5MLZtH5MLBHEHMHxH9HEHxH9iH}H5CMLmHULLU H5rMLHEAHxH9HEHxH9uEq@AH=MPHuLmHUH5xLL ZL~H5H=L@1!HEHxH9HؐHL bH7bHHbHfHH@Hx tH@@H=L-HwHuU/UbfDLmHUH5LL XLH5H=L=1 HEH KHxH9FQאHHI$aH=aHLH%aHHH@Htx tH@HuH9H(L@Ր1LeܐIHFWHH ޙH)A=PHAVATjP-1~HEH0HxH99P'LmHUH5@LL ZLFH5H=XLC1HEHxH9֐HL _&H_HH_Hf.HH@Hx tH@@HqpfPJHfH=q_NH}_H=V_l_Hi_Hv_H__H`_HT H5-_H=@HUH5[LE1LmڐIHHH H'A@PH;ATAUjP-1HEH0HxH9%H=fI PHuH9OH(LҐQfDH=1^DH=^H=^,^H)^H6^H^H ^[H H5]H=V@HUH5pZLH9H(L Ґ1LmِIHHH Hw&ACPHATAUjP-1I@H=HtfHHuU UH=GP Hu_ f.HqpDH=\H\H=\\H\H\H\H\H H5m\H=֧Af@PJHJf.H=GPHu fH=FthPHu[ fDHUH5xXL H=FtqP_Hu QPJH뗋PJH]PJHH=?Ft+PFHu 8PJH뎋PJH2ܐHHEHxH;=DtLHIHEHxH9t HuLmHHEHxH;=DtHuILCIHEHxH9tHuIHEHxH9tLjHjHHapi.ccE19999((model) != nullptr)Assert %s failed((model_path) != nullptr)((file_head) != nullptr)ge.exec.atomicCleanPolicyge.exec.staticMemoryPolicyge.cmChiefIpge.cmChiefPortge.cmChiefWorkerDevicege.cmWorkerIpge.cmWorkerSizege.optionNameMapstream_sync_timeoutevent_sync_timeoutge.distributed_cluster_buildge.offline_model_relationge.cluster_configge.offline_hccl_compilege.streamNumge.headStreamac_parallel_enablege.perfLevelge.encryptModege.ekFilege.certFilege.hwKeyFilege.privateKeyFilege.frameworkTypege.calibrationConfFilege.insertOpFilege.outputNodeNamege.compressFlagge.exec.precision_modege.exec.precision_mode_v2ge.exec.tuneDeviceIdsge.exec.single_opge.trainFlagge.runFlagge.enabledLocalFmkopge.TBE_plugin_pathge.DDK_versionge.feFlagge.streamMaxParallelNumge.outputDatatypege.opSelectImplmodege.optypelistForImplmodege.hcomParallelge.fusionTensorSizege.inputShapege.outputMaxSizege.dynamicNodeTypege.autoTuneModege.socVersionge.virtual_typege.engineTypege.exec.exclude_enginesge.aicoreNumge.l1Fusionge.bufferOptimizege.enableSmallChannelge.enableCompressWeightge.enableSparseMatrixWeightge.fusionSwitchFilege.compressionOptimizeConfge.customizeDtypesop_debug_configge.saveOriginalModelge.originalModelFilege.INPUT_NODES_SET_FP16ge.opDebugLevelop_debug_optionge.mdl_bank_pathge.display_model_infoge.op_bank_pathge.op_bank_updatege.hcomMultiModege.performance_modege.jit_compilege.exec.modify_mixlistge.exec.op_precision_modege.exec.allow_hf32ge.exec.opWaitTimeoutge.exec.opExecuteTimeoutge.externalWeightge.deterministicge.quant_dumpableinput_formatinput_shapeinput_shape_rangeop_name_mapge.dynamicBatchSizege.dynamicImageSizege.dynamicDimsge.exec.disableReuseMemorylogge.debugDirge.op_compiler_cache_dirge.op_compiler_cache_modege.build_inner_modelge.enableGraphParallelge.graphParallelOptionPathis_input_adjust_hw_layoutis_output_adjust_hw_layoutenable_scope_fusion_passesinput_data_namescompress_weight_confge.enableSingleStreamge.op_dependency_in_omsuccessCaffeMindSporeTensorFlowAndroid_NNOnnxAI_COREAI_CPUDSAWRITE_BACKTASK_TYPE_INVALIDFFTS_PLUSVectorEngineops_kernel_info_hcclDNN_VM_RTS_OP_STOREDNN_VM_HOST_CPU_OP_STOREDNN_VM_GE_LOCAL_OP_STOREaicpu_ascend_kernelaicpu_tf_kernelAIcoreEnginedvpp_ops_kernelDSAEngineDynamicAtomicAddrClean_ge_attr_lowering_funcffts_ai_core_lower_funcffts_graph_lower_funcffts_static_graph_lower_funcffts_mix_l2_lower_func_ge_attr_calculate_funcffts_mix_l2_calc_funcinput_tensor_indexsoutput_tensor_indexsstaticdynamic_atomicBalanceModeMemoryPrioritySPMDge.evaluateGraphResourceModege.resourceConfigPathge.recomputege.topoSortingModege.graphSliceModeFailed to allocate memory!Parameter invalid!Failed to call CCE API!Failed to call runtime API!Internal errorsFailed to call libc_sec API!Failed to call tee API!End of sequence!Path is invalid!Failed to find any function!Parameter unsupported!Out of memory!GEInitialize Failed.GEFinalize Failed.Session constructor Failed.Session destructor Failed.Session AddGraph Failed.Session RemoveGraph Failed.Session RunGraph Failed.GE is already initialized.Failed to initialize session.Graph ID not exist.Graph ID already exist.Graph is running.Failed to initialize graph.graph ID not exist.Graph malloc failed.Graph FREE failed.Graph param is NULL.Run graph node is null.Graph preprocess failed.Graph fusion failed.Calibration failed.OME DataInput failed.Execute graph failed.Duplicate engine.Empty sub graph info.Call SetCondition first.Prepare failed.OMG SerializeModelDef failed.OMG SaveModel failed.PreRun failed.Graph subGraph id is invalid.Graph RunGraph failed.Graph get graph node failed.Graph do not init.input graph is nullaccessing an empty partitionassign engine failedParse out node failed.Empty string name.Empty variable-tensor table.Variable already exist.Variable does not exist.No output desc info.Graph is not compiled.Graph SaveModel failed.Failed to run variable pass.Failed to initialize engine.Engine finalize failed.OpsKernelInfo not exist.OpsKernelInfoStore not exist.Failed to CalcOpRunningParam.Failed to GenerateTask.Failed to OptimizeFusedGraph.Engine is not registered.device id is invalidmalloc memory failedmodel has not been loadedmodel excute failedcce create handle failedcce set stream failedcall runtime lable set failedcall runtime free failedcall runtime mem async faileddestory stream faileddestory label faileddestory model faileddestory handle faileddestory rt event failedModel file path is invalid.Model id is invalid.Queue id of model is invalid.Failed to read model file.GE AIPP is not exist.Failed to allocate P2P memorykv cache not exit!repeat request!request already complete!parameter is invalid!llm engine finalized!cluster num exceed limit!device out of memory!Prefix has already existed.Prefix does not exist.Sequence length exceed limit.No free block.Block is out of memory.NPUHOST_CPUUDFPSDSAGenBitMaskDSARandomNormalDSARandomTruncatedNormalDSARandomUniformAscend910AAscend910BAscend910PremiumAAscend910ProAAscend910ProBAscend910B1Ascend910B2Ascend910B3Ascend910B4Ascend910B2CAscend910C1Ascend910C2Ascend910C3Ascend920AAscend310P1Ascend310P3Ascend310Ascend310B1Ascend310B2Ascend310B3Ascend310B4Ascend310M1Ascend320Ascend610Ascend610LiteAscend615Ascend710Vir01Ascend710Vir02Ascend710Vir04Ascend710Vir08BS9SX1AAHi3796CV300CSHi3796CV300ESOPTGSD3403TsnsCTsnsEAscend031Ascend035ddr_rateubblock_sizeAICPUSyncBySWTSCPUSyncBySWCounterWorkspaceSizeai_core_cntjit_compile_default_valuejit_compile_modevec_freqIntrinsic_mmadAICoreMemoryRatesAICoreSpecCPUCacheDSARandomSoCInfoSoftwareSpecVectorCoreMemoryRatesVectorCoreSpecAICoreintrinsicDtypeMapVectorCoreintrinsicDtypeMapALL_LABEL_END((root_model) != nullptr)((root_graph) != nullptr)((graph) != nullptr)((error_code) == ge::SUCCESS)((builder) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load model data[Check][Input] failed, model is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAssert %s failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid model size. Model data size %zu must be greater than or equal to %zu.[%s:%d]%lu %s:Parser model[%p], model size[%zu], is_dynamic_model[%d].[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnsupported placement %d to create allocator[Check][ModelPath] failed, model_path is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load model data from model path[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ModelFileHead] failed.[%s:%d]%lu %s:Parser model path[%s], is_dynamic_model[%d].ge.exec.memoryOptimizationPolicyge.shape_generalized_build_modege.experiment.quant_bias_optimizeFailed to find any valid so file!Failed to invoke any function!Session AddGraph Failed converting protobuf GraphProto.Session RunGraph Failed converting protobuf TensorProto.GE is not yet initialized or is finalized.Multiple initializations are not supported.Finalize is not allowed before initialization.Multiple finalizations are not supported.Multiple profiling initializations are not supported.Profing initializations have not been done.Profiling command mode which is preferred is running, the api mode will not work.Session already running,not support parallel run.Can not find session with specific session id.Session manager has not been initialized.graph already running,not support parallel run.Graph FREE failed, not malloc buffer.Get computeGraph by graphNode failed.Graph which insert dynamic op failed.Graph partition success, but subGraph num is 0.Graph subGraph engine name is repeated.OME GetInputOutputDescInfo failed.Prepare Graph infershape failedRunGraph input compute graph is NULL.Graph SyncExecuteModel failed.Parse dynamic node config file failedSave model with multiple sub graphtopological sorting an partition failedunsupported feature in partitionadd placeholder end node failedOMG parse dynamic node config file failed.OMG Save Weights to Model failed.Client session options is invalid.Number of output descinfo and tensor mismatch.Graph Save Model fileNamePrefix is invalid.Failed allocating memory for model file header.Failed remove graph in node seacher.Failed add graph in node seacher.Failed set graph finish rebuild in node searcher.The node of the graph to be deleted.The node of the graph no changed.The optimize operation is suspended.Repeat operation is not allowed.Memory type HBM is necessary when engine is in deviceFailed to initialize OpsKernelInfoStore.Failed to initialize GraphOptimizer.Failed to OptimizeOriginalGraph.There is no valid so about OpsKernelInfoStore or GraphOptimizer.Failed to get graphOptimizer by name.Failed to get graphOptimizer by priority.Failed to load ge graphOptimizer.set device failed, device not readycall runtime create rtModel failedcall runtime create stream failedcall runtime bind stream to model failedcall runtime create lable failedcall runtime model load complete failedcall runtime get task id failedcall runtime kernel launch failedcall runtime kernel launchex failedcall runtime kernel fusion start failedcall runtime kernel fusion end failedcall runtime lable goto failedcall runtime lable switch failedcall runtime mem alloc managed failedcall runtime mem free managed failedcall runtime sync stream failedcall runtime model excute failedcall runtime alloc host memory failedcall runtime free host memory failedcall runtime alloc device memory failedcall runtime free device memory failedcall runtime flush cache failedunbind rtstream from rtmodel failedcall cce transfer tensor descriptor failedcall cce transfer filter descriptor failedcall cce update kernel args failedcall rutime create event failedcall rutime event record failedcall rutime stream wait event failedcall hccl hcom broadcast failedcall hccl hcom all gather failedcall hccl hcom all reduce failedcall hccl hcom reduce scatter failedGE Executor is not yet initialized.Key file path of model is invalid.Data size of model is invalid.Partition number of model is invalid.Model does not support encryption.The model is loaded repeatedly.Failed to load model partition.Failed to load weight partition.Failed to load task partition.Failed to load kernel partition.Failed to allocate feature map memory.Failed to allocate weight memory.Failed to allocate variable memory.GE Dynamic AIPP is not support to query temporarily.Graph manager initialize failed.Graph manager add graph failed.Graph manager build graph failed.Graph manager finalize failed.Graph manager save model failed.request wait to be processed timeout!decoder cluster is no link with prompt!decoder cluster is already linked with prompt cluster!decoder cluster link with prompt cluster failed!decoder cluster unlink with prompt cluster failed!decoder cluster notify prompt cluster do unlink failed!link is current processing, try again later![%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load root model from model data[%s:%d]%lu %s:single op scene, set ge model as root modelFailed to lowering to execute graph[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load model data form model pathCreateIsDynamicModelIsDynamicModelLoadStreamExecutorFromModelDataLoadStreamExecutorFromModelDataLoadExecutorFromModelDataLoadToModelV2ExecutorBuilderLoadExecutorFromModelDataLoadExecutorFromFileLoadDataFromFile*ZN4gert20LoadExecutorFromFileEPKcRjEUlvE_*ZN4gert14IsDynamicModelEPKcRbEUlvE_N4gert14ExecutorOptionEN4gert15ObjectAllocatorINS_16ExternalMemBlockEEEequivalent_data_anchors.cc((peer_out) != nullptr)InnerDataInnerNetOutputRefFromNodeRefFromIndex((src_anchor) != nullptr)[%s:%d]%lu %s:anchor1's symbol is %p, anchor2's symbol is %p[%s:%d]%lu %s:symbol1 and symbol2 are nullptr both, use anchor1[%p] as symbol[%s:%d]%lu %s:symbol1[%p] is equal to symbol2[%p], no need to merge[%s:%d]%lu %s:from_anchors size[%zu] is greater than to_anchors size[%zu], swap them.[%s:%d]%lu %s:symbol1 and symbol2 are not nullptr, either. Merge from_symbol[%p] to to_symbol[%p]The node %s input %d does not have peer((peer_out->GetOwnerNodeBarePtr()) != nullptr)[%s:%d]%lu %s:Start Merge node[%s] and node[%s][%s:%d]%lu %s:Merge anchor1[%p][idx=%d] with anchor2[%p][idx=%d]Param:parent_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_node]null is invalidParam:parent_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_anchor]null is invalidParam:parent_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_out_anchor]null is invalidParam:root_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_graph]null is invalidParam:op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc]null is invalid(ge::AttrUtils::GetInt(op_desc->GetOutputDesc(i), kRefFromIndex, src_index))(iter != node_names_to_node.end())((src_anchor->GetOwnerNodeBarePtr()) != nullptr)MergeConstructRefOutputEquivalentConstructInnerDataOutputEquivalentConstructIoEquivalentexecution_data_builder.cc[%s:%d]%lu %s:The node %s type %s does not need to create outputs[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find exec node [%s] kernel funcs[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create output for node %s type %sCreateKernelOutputsgraph_executor_builder.cc((resource_guard) != nullptr)((execution_data) != nullptr)LaunchKernelWithHandleLaunchMixKernelWithHandleLaunchMixKernelWithFlagAtomicLaunchKernelWithFlagAicpuLaunchTfKernelAicpuLaunchCCKernelStarsTaskLaunchKernelLaunchFFTSPlusTaskLaunchFFTSPlusTaskNoCopyLaunchHcomKernelDavinciModelExecuteExecuteOpFuncSyncStreamsequential-executorgeneral-topo-executorpriority-topo-executorhost-cache-executortprt-graph-executorunknown((execution_data_builder) != nullptr)((SetExecuteFunc(executor_type, executor)) == ge::SUCCESS)[%s:%d]%lu %s:Select executor type %s for graph %sܿܿܿۿhܿ4޿޿ݿ$ݿT޿BuildBuildN4gert13ResourceGuardEN4gert39PriorityTopologicalExecutionDataBuilderE((net_output) != nullptr)graph_node.cc((op_desc) != nullptr)((control_graph) != nullptr)((enter) != nullptr)Exit((exit) != nullptr)WaitAnyoneBranchPivotBranchDone((wait_anyone) != nullptr)((body_pivot) != nullptr)((body_done) != nullptr)((body_graph) != nullptr)((pivot) != nullptr)((done) != nullptr)((cond_graph) != nullptr)((switch_notify) != nullptr)branch((branch_graph) != nullptr)SubgraphCall[%s:%d]%lu %s:Link src node[%s] to dst node[%s]((GuardGraphByPivotAndDone(body_graph, body_pivot, body_done)) == ge::GRAPH_SUCCESS)((GuardGraphByPivotAndDone(body_graph, pivot, done)) == ge::GRAPH_SUCCESS)Root-graph of node %s not foundSubgraph of %s named %s not foundKey node SwitchNotify not found in cond graph of node %sKey node WaitAnyone not found in cond graph of node %sFailed to get attr 'branch' from node %s(ge::AttrUtils::GetInt(cond_node->GetOpDescBarePtr(), ge::kRelativeBranch, branch_index))Failed to find branch graph for node %s, index %dNo InnerNetOutput node in subgraph %d from node %sReadInSubgraphCallGuardGraphByPivotAndDoneReadInWhileReadInIfOrCasemodel_v2_executor_builder.ccbufferComputeNodeInfoKernelExtendInfoMainDeInit((graph_node) != nullptr)ModelDesc((buffer_data) != nullptr)((model_desc) != nullptr)ExternalFileConstantDir((io_descs) != nullptr)((name) != nullptr)((exe_graph_) != nullptr)((executor) != nullptr)((buffer) != nullptr)HOST_CACHE_CAPACITYFailed to get subgraph %s((subgraph) != nullptr)((ret) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get buffer %s from root graphFailed to find node %s from root graph, execute graph type %d((base_ed_builder) != nullptr)[%s:%d]%lu %s:Attention: default registry is not existed. Model desc and executor did not set space registry((eq_data_anchors.ConstructEquivalentAnchors(exe_graph_)) == ge::GRAPH_SUCCESS)[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second.ModelV2ExecutorBuilderBuild::ConstructEquivalentAnchors[%s:%d]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second.((AllocRootGraphAnyValues(exe_graph_, eq_data_anchors, symbols_to_value, &(executor->resource_guard_))) == ge::GRAPH_SUCCESS)ModelV2ExecutorBuilderBuild::AllocRootGraphAnyValuesModelV2ExecutorBuilderBuild::ReadInBufferModelV2ExecutorBuilderBuild::ReadInComputeNodeInfo((compute_node_info) != nullptr)ModelV2ExecutorBuilderBuild::ReadInKernelExtendInfo((kernel_extend_info) != nullptr)((ReadInModelDesc(*executor.get())) == ge::SUCCESS)ModelV2ExecutorBuilderBuild::ReadInModelDesc[%s:%d]%lu %s:HOST_CACHE_CAPACITY env is not exist. Turn off HOST CACHE[%s:%d]%lu %s:HOST_CACHE_CAPACITY env is %s.Failed to build subgraph executor %sModelV2ExecutorBuilderBuild::BuildGraph((subscriber_extend_info) != nullptr)ModelV2ExecutorBuilderBuild::SubscribersSchedulerInitModelV2ExecutorBuilderBuild::AllReadBufferFromAttrstatic ge::TypeID ge::TypeID::Of() [with T = std::basic_string]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]ReadInModelDescEnableHostCacheBuildAllocRootGraphAnyValuesGetExecuteGraphSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN4gert20SubscriberExtendInfoELN9__gnu_cxx12_Lock_policyE2EEN4gert24TopologicalResourceGuardENo free execution data left!(!free_eds_.empty())((ed) != nullptr)((tensor) != nullptr)((DoAging()) == ge::SUCCESS)graph_execution_cache_module.cc(ed->topo_ed.base_ed.input_num >= kArgCount)((GetShapesFromExecutionData(ed, shapes)) == ge::SUCCESS)[%s:%d]%lu %s:Finalize GraphExecutionCacheModule.[%s:%d]%lu %s:Initialize GraphExecutionCacheModule.[%s:%d]%lu %s:[CACHE][AGING]aging id num = %zu.[%s:%d]%lu %s:[CACHE][AGING]aging id is [%lu].[CACHE][AGING]aging id[%lu] is not cached.(id_2_eds_.find(cache_item_id) != id_2_eds_.cend())((GetCurCacheDescFromExecutionData(ed, cache_desc)) == ge::SUCCESS)[%s:%d]%lu %s:[CACHE] not find cache item id is [-1], input shape is {%s}.[%s:%d]%lu %s:[CACHE] find cache item id is [%lu], input shape is {%s}.basic_string::_S_construct null not validLogCacheInfoGetFreeCachedExecutionDataGetCurCacheDescFromExecutionDataGetShapesFromExecutionDataDoAgingAddCacheFindCacheFinalizeInitializeSt19_Sp_make_shared_tagSt23_Sp_counted_ptr_inplaceIN2ge16RuntimeCacheDescESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEType error, expect type ge::RuntimeCacheDesc.((rht) != nullptr)runtime_cache_desc.ccIsEqualN2ge9CacheDescEN2ge16RuntimeCacheDescESplitTensor((peer_in_node) != nullptr)(cache_module_capacity > 0)((first_free_ced) != nullptr)vector::_M_range_insertcached_execution_data_builder.cc[%s:%d]%lu %s:NODE %s id is %d is watcher of feed, can not init frozen indegree[%s:%d]%lu %s:Node %s frozen degree %ld. after init, frozen indegree %ld.((frozen_out_anchor) != nullptr)[%s:%d]%lu %s:Node id %zu should not as init frozen node, recover it.((execution_data_holder) != nullptr)((topo_ed_builder_.Build(&(execution_data->topo_ed), resource_guard.get(), graph_nodes)) == ge::GRAPH_SUCCESS)((CreateKernelOutputs(GetOrderedGraphToExeNodes())) == ge::SUCCESS)[%s:%d]%lu %s:NODE %d is watcher of feed node: %s((InitFrozenIndegree(execution_data, graph_nodes)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:HOST_CACHE_CAPACITY env is not exist. Turn off HOST CACHE.[%s:%d]%lu %s:HOST_CACHE_CAPACITY env is %s((sub_resource_guard) != nullptr)GetHostCacheCapacityBuildPushQueueIfFrozenInitFrozenIndegreeBuild*ZN4gert26CachedExecutionDataBuilder18InitFrozenIndegreeEPK19CachedExecutionDataRNS_9GraphNodeEEUlRKN2ge4NodeEE_N4gert20ExecutionDataBuilderEN4gert26CachedExecutionDataBuilderEN4gert29ExecutionDataWithCacheBuilderEN4gert19CachedResourceGuardEN4gert22ResourceGuardWithCacheE((new_ced) != nullptr)cached_executor.ccExecuteWithCacheComputeNodeIndexKernelExtendInfoIndexConstData((exe_node) != nullptr)prioritysequential_execution_data_builder.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get compute node info by index %ld, node name %s, type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get kernel extend info by index %ld, node name %s, type %s((execution_data->nodes) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load exe graph, input data index %d, expect %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load exe graph, duplicated input data index %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load exe graph, append input data index %d, expect %d((execution_data->input_values) != nullptr)((execution_data->output_values) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load NetOutput node, there are %u inputs on the exe-graph, but only %zu chains created[%s:%d]%lu %s:Execute kernel id %ld, name %s((ReadInOneNode(node, graph_nodes, resource_guard)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %scan not find node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sAnchor symbol of %s not foundParam:graph_async_value.values is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_async_value.values]null is invalid((AllocGraphAsyncValues(GetExecutorBuilder().GetExeGraph()->GetAllNodesPtr(), graph_async_value_)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Read in graph nodes with priority re-order, graph name is %s((ReadInNodesByPriority(graph_nodes, resource_guard)) == ge::SUCCESS)[%s:%d]%lu %s:Read in graph nodes without priority re-order, graph name is %s((ReadInNodes(graph_nodes, resource_guard)) == ge::SUCCESS)((InitAllKernelFunctions(ordered_graph_to_exe_nodes_)) == ge::SUCCESS)((InitAllKernelExtendInfos(ordered_graph_to_exe_nodes_)) == ge::SUCCESS)((Build(reinterpret_cast(execution_data.get()), resource_guard.get(), graph_nodes)) == ge::SUCCESS)vector::_M_default_append[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get index from data node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sDuplicated Data index found, index %d, name %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not find the output any value for node %s[%s:%d]%lu %s:Loaded feed input index %d, node name %sAllocGraphAsyncValuesCreateInputValuesCreateExecutionDataInitAllKernelExtendInfosReadInNodesByPriorityReadInNodesReadInNodeReadInNetOutputReadInFeedReadInOneNodeInitAllKernelFunctionsBuildBuildN4gert30SequentialExecutionDataBuilderE?((watcher) != nullptr)_request_watcher_watcher_addresstopological_execution_data_builder.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not find the executor node from graph node %s(%s) when create watcher((base_ed_builder_.ReOrderByPriority(false).Build(&(execution_data->base_ed), resource_guard, graph_nodes)) == ge::SUCCESS)((CreateWatchers(graph_nodes, resource_guard)) == ge::SUCCESS)[%s:%d]%lu %s:Assemble attr '%s' to node %s type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed copy watcher address to dst buffer[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed set watcher for request-watcher node %s((AssembleNodeRequestedExtraInfos(graph_nodes)) == ge::SUCCESS)((CreateExecutionData(graph_nodes, execution_data, resource_guard)) == ge::SUCCESS)[%s:%d]%lu %s:Can not get the priority of node %s, the node will be run at the lowest priority((Build(execution_data, resource_guard.get(), graph_nodes)) == ge::GRAPH_SUCCESS)CreateWatchersSetPriorityForNodesAssembleNodeRequestedExtraInfosBuildBuildN4gert31TopologicalExecutionDataBuilderEtprt_execution_data_builder.cc((kernel_funcs->outputs_creator_func(org_node, reinterpret_cast(&exe_node->context))) == ge::GRAPH_SUCCESS)((priority_topo_ed_builder_.Build(&(execution_data->topo_ed), resource_guard.get(), graph_nodes)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:new thread num is less than least %u((tprt_graph_scheduler) != nullptr)((execution_data->scheduler->Prepare(&(execution_data->topo_ed))) == ge::GRAPH_SUCCESS)CondSwitchNotify((kernel_funcs) != nullptr)CreateKernelOutputsBuildN4gert24TprtExecutionDataBuilderEN4gert17TprtResourceGuardEtprt_graph_scheduler.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %skernel exec failed, kernel name: %s, kernel type: %s((es) != nullptr)((es->callback) != nullptr)Set current context, ret 0x%X((kernel_info) != nullptr)@FreeMemoryFreeMemHbmFreeBatchHbmFreeTensorMemoryFreeFftsMemFreeBatchFftsMems((ctx) != nullptr)(ret == TPRT_ERROR_NONE)((tprt_graph_) != nullptr)WatcherPlaceholder((tprt_node) != nullptr)[%s:%d]%lu %s:Failed to get device id, ret 0x%X[%s:%d]%lu %s:Failed to get current context, ret 0x%X[%s:%d]%lu %s:Failed to set current context, ret 0x%X(rtGetDevice(&device_id) == RT_ERROR_NONE)((SetTprtTaskAttr(node, attr)) == ge::SUCCESS)[%s:%d]%lu %s:current kernel type: %s, current kernel name: %s, watch kernel type: %s, watch kernel name: %s(tprt_graph_->add_succ(cur_tprt_node, succ_tprt_nodes) == TPRT_ERROR_NONE)operator()GetCurrentCtxGetParallelConstraintScheduleoperator()Prepare*ZN4gert18TprtGraphScheduler18GetTaskFuncWrapperEP4NodePN4tprt5graphEEUlP16tprt_task_resultE_*ZN4gert18TprtGraphScheduler18GetTaskFuncWrapperEP4NodePN4tprt5graphEEUlP16tprt_task_resultE0_*ZNK4gert18TprtGraphScheduler18TprtWorkerInitFuncEPvRKN13error_message7ContextEEUljE_N4gert12TprtRunClassE((scheduler) != nullptr)tprt_graph_executor.ccTprtGraphExecuteWithCallbackTprtGraphExecute[%s:%d]%lu %s:[Get][Size] failed, shape size %ld.GetSizemodel_v2_executor.cc((streams) != nullptr)(streams->GetSize() > 0u)((events) != nullptr)((notifies) != nullptr)Call %s fail, ret: 0x%XFailed to execute init graph((data_node) != nullptr)E29999W29999prefetchinvalidatewritebackprefetch_idxinvalidate_idxwrite back_idxDSAStatelessRandomNormalDSAStatelessGenBitMaskDSAStatelessRandomUniform[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute, %s is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute, %s[%zu] is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sexternal_stream_allocator and external_event_allocator not allow only set one.Failed to prepare reusable streams, num %zu. Maybe streams not enough on deviceFailed to prepare reusable events, num %zu. Maybe events not enough on device((rtGetDevice(&device_id)) == 0)Failed to prepare reusable notifies, num %zu. Maybe notifies not enough on device[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ModelDesc] failed, model_desc is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not unload now, the model state is not loaded(%d)Failed to execute de-init graph[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute, outputs num %zu, expect num %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute model, you may need load model first[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute, invalid input num %zu(%zu + %zu)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute, inputs num %zu(%zu + %zu), expect num %zurtStreamCreateWithFlags(&default_stream_, static_cast(RT_STREAM_PRIORITY_DEFAULT), RT_STREAM_FAST_LAUNCH | RT_STREAM_FAST_SYNC)[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rt api failed, ret: 0x%X((DoRtStreamSyncWithTimeout(default_stream_)) == ge::SUCCESS)(const_inputs.size() == static_cast(ConstDataType::kTypeEnd))[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not load now, the model has been loaded(%d)((ge::AippUtils::SetAippInfoAndTypeFromOpDesc(data_index_map, data_node->GetOpDesc(), data_index, aipp_info_list_, aipp_type_list_)) == ge::SUCCESS)((ge::AippUtils::SetAippInputOutputInfoFromOpDesc(data_node->GetOpDesc(), data_index, orig_aipp_input_info_, aipp_dims_info_)) == ge::SUCCESS)DSAStatelessRandomTruncatedNormalInitAippSpecifyOutputsGetModelDescExecuteSyncCheckTensorsCheckModelOutputsNumExecuteUnLoadCheckModelInputsNumLoadOccupyStreamResourceArrangeModelLoadArg_C((builder_) != nullptr)stream_executor.cc(result.second)((iter->second) != nullptr)[%s:%d]%lu %s:Create a new executor for stream %p((executor->Load(arg)) == ge::SUCCESS)[%s:%d]%lu %s:Unload executor on stream %p((iter->second->UnLoad()) == ge::SUCCESS)CreateAndLoadErase((out) != nullptr)tensor_utils.ccLower bound is %ld(lower_bound >= 0)(lower_bound <= upper_bound)((block) != nullptr)Shape size %zu is different from min shape size %zu or max shape size %zu[%s:%d]%lu %s:Shape or shape range is empty, no need to check.((shape.GetDimNum() == shape_range.GetMax().GetDimNum()) && (shape.GetDimNum() == shape_range.GetMin().GetDimNum()))[%s:%d]%lu %s:[Check][InputShape]cur shape dim idx [%zu] is -1, no need to check.[%s:%d]%lu %s:[Check][InputShape]All range does not checkCur dim is %ld, lower bound is %ld, upper bound is %ld((cur_dim <= upper_bound) && (cur_dim >= lower_bound))[%s:%d]%lu %s: ErrorNo: %u(%s) %sTensorData placement is following, so it can't get address, addr: %p((RefTdToGtd(td, l2_allocator.GetStreamId(), gtd)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnexpected operate type %dRefTdToGtdShareTdToGtdHostAddrManagerHbmManagerCheckShapeByShapeRangeN2ge8MemBlockEN4gert6memory7HostMemE_precision_mode_enumaclnn_node_converter.ccFindOpExeFuncnode or op desc is nullptr_lowering_resultFailed to execute op.AclnnLoweringFunc[%s:%d]%lu %s:Do not get attr precision_mode_enum from node[%s, %s][%s:%d]%lu %s:Precision mode is [%d].[%s:%d]%lu %s:Attr value of [%s] is [%s].[%s:%d]%lu %s:Deterministic is [%d].[%s:%d]%lu %s:Begin to do lowering for aclnn node[%s, %s].[%s:%d]%lu %s:Op impl registry is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sDo not find op execute function of node[%s, %s].Op execute function is not registered.[%s:%d]%lu %s: ErrorNo: %u(%s) %sLowering result of node [%s, %s] is not found.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get ir input index by node [%s, %s]'s input[%zu].[%s:%d]%lu %s:Ir input index of node [%s, %s]'s input[%zu] is [%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sLowering result or its shape of node [%s, %s] output[%d] is not null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSize[%zu] of input shapes and size[%zu] of input tensor is not same.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build input tensors for node[%s, %s].Failed to build op input tensor.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOutput tensor[%zu] is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build output tensors for node[%s, %s].Failed to build op output tensor.CreateOpExecuteOptionBuildOpOutputTensorsstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]BuildOpInputTensorsGetOpImplFunctionsLoweringAclnnNodeaicore_compile_results.ccRT_DEV_BINARY_MAGIC_ELF_AIVECRT_DEV_BINARY_MAGIC_ELF_AICPURT_DEV_BINARY_MAGIC_ELFFFTS_BINARY_MAGIC_ELF_MIX_AICFFTS_BINARY_MAGIC_ELF_MIX_AIV_kernel_list_first_nameSinkFFTSAICoreNodeBinGetFFTSAICorePcAndPrefSinkFFTSStaManualNodeBin_atomic_kernelnameBuild_memset_kernel_bin_idSinkNodeBinWithHandleSinkNodeBinWithoutHandle_mix_enhanced_mix_aicSinkMixDyNodeBinSinkFFTSStaAutoNodeBin_unknown_shapeSinkMixStaticNodeBinGetMixAddrAndPrefCnt_workspace_size_list_atomic_compile_info_json_atomic_compile_info_key_optiling_atomic_add_mem_size_op_infer_dependsAutoTilingfloat32float16uint16uint32uint64booldoubledualdual_sub_int8dual_sub_uint8_mix_with_enhanced_kernel[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calc size, overflow add, bin length %lu[%s:%d]%lu %s:op %s:%s shaped is %u enhanced is %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sKernel is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %sBin size is 0.RT_DEV_BINARY_MAGIC_ELF_AICUBE[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][JsonStr]Unexpected tvm magic %s, magic key %s(bin_size > sizeof(*bin_data))[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get kernel bin by key %s on node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get tvm magic by key %s on node %s[%s:%d]%lu %s:Sink FFTSPlus node bin for node:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sSink bin failed.[%s:%d]%lu %s:Sink FFTSPlus static bin for node:%s[%s:%d]%lu %s:Node[%s] kernel_attr:%s, kernel:%s[%s:%d]%lu %s:Metadata for node:%s is[%s][%s:%d]%lu %s:Kernel bin id of node %s is %s with magic[%s][%s:%d]%lu %s:%s kernel bin id %s size %zu, node %s[%s:%d]%lu %s:Build kernel data with empty bin id size %zu, node %s[%s:%d]%lu %s:Use stub func[%s] as bin key.[%s:%d]%lu %s:get metadata from node is empty for node:%s[%s:%d]%lu %s:Failed to get kernel name is empty for node: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build bin data for node %s, unexpected task type %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get task-def from node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] mix kernel key with prefix[%s] is empty.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] make bin with prefix[%s] failed.[%s:%d]%lu %s:Start to register kernel for node:[%s], kernel key[%s], magic is [0x%lx][%s:%d]%lu %s:[%s]attr: %s, kernel: %s[%s:%d]%lu %s:Metadata for node: %s is[%s][%s:%d]%lu %s:start sink dynamic mix node for prefix %s node:%s[%s:%d]%lu %s:Sink dynamic node bin for node:%s[%s:%d]%lu %s:Sink ffts auto node[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sMagic size[%zu] not equal to kernel size[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] build auto bin data failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sKernel name size[%zu] not equal kernel size[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] prefix is empty.[%s:%d]%lu %s:Static and reuse binary.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] sink static bin failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] sink dynamic bin failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %snode: %s get invalid mix kernel type: %u_mix_aic_kernel_list_first_name_mix_aiv_kernel_list_first_name_mix_enhanced_kernel_list_first_namestatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]SinkBinForMixAiCoreGetMixAiCoreKernelTypeSinkDynamicMixNodeSinkStaticMixNodeCreateMixBinDataSinkFFTSStaManualNodeBinSinkBinForFFTSstatic ge::TypeID ge::TypeID::Of() [with T = std::vector >]SinkFFTSStaAutoNodeBinBuildAutoNodeBinDataCalcBinDataSizestatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]BuildBinDataBuildBinDataSinkBinForAicorethread_tbeKerneltbeKernel((core_type) != nullptr)aicore_ffts_node_converter.cc_atomic_context_id_listatomic_op_para_size_ffts_thread_dim_need_mode_addr((rt_arg) != nullptr)(ret == ge::SUCCESS)FFTSCalculateFftsMemoryAICoreGetAutoThreadParamFFTSCalculateWorkSpaceFFTSCalculateOutputFftsMemory_data_prof_ctx_id_v_data_prof_name_v_data_prof_type_ffts_prof_ctx_type((type_holder) != nullptr)AICoreUpdateExceptionDumpInfo((vec_holder) != nullptr)AICoreUpdateContextUpdateFFTSTilingShapeSetNodeSkipCtxFFTSUpdateAICoreArgs_ffts_mem_alloc_vec_holderFFTSCalculateFftsMemoryReuseAICoreUpdateDataDumpInfoDNN_VM_GE_LOCALglobalworkspace_size_data_prefetch_ctx_id_list_invalid_ctx_id_list_write_back_ctx_id_listFFTSCheckTilingShapeEqual_ffts_alloc_vec_holder_ffts_subgraph_outputs_index((reuse_ret) != nullptr)((sink_ret) != nullptr)((thread_para) != nullptr)((args_ret) != nullptr)((update_ret) != nullptr)Infer shape failed.Collect const value failed.Lowering ffts aicore failedCheckOutputShapesEmpty[%s:%d]%lu %s:Node[%s] core type[%s] to sink.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[SinkBinForAicore]Not support core type[%s] to sink.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s(%s)] Invalid max tiling size: %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s]Invalid atomic tiling size:%ld.[%s:%d]%lu %s:Node[%s] need atomic clean with max tiling size:%zu.[%s:%d]%lu %s:Calculate %s AICore[%s]'s args size:%zu.[%s:%d]%lu %s:Node:%s input:%zu data/tiling depend flag:%d/%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s(%s)] Invalid get outputdesc: %zu.[%s:%d]%lu %s:Set pos:%zu, context id:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSize[%zu] not expect.[%s:%d]%lu %s: ErrorNo: %u(%s) %sHolder is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sHolder is not ok.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOutput [%u] ref input [%zu], but input index over memory type size [%zu] or intput addr size [%zu].[%s:%d]%lu %s:Output index [%u] ref input index [%zu] don't need alloc memory.[%s:%d]%lu %s:Output index [%zu] no ffts memroy pool.[%s:%d]%lu %s:Output index [%zu] no cmo invalid.[%s:%d]%lu %s:Cmo ctx index [%zu] over size[%zu].[%s:%d]%lu %s:Output index [%zu] in cmo invalid index [%zu] over size[%zu].[%s:%d]%lu %s:Node [%s] start calc ffts mem reuse.[%s:%d]%lu %s:Node [%s] don't need calc reuse ffts memory.[%s:%d]%lu %s:Node [%s] calc ffts mem reuse inputs on [%zu] insert size [%zu].[%s:%d]%lu %s:Node[%s] peer out node[%s] is GELocal, force all outputs alloc by level 1 mem pool.[%s:%d]%lu %s:Node[%s] FFTS plus tiling success.[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe number of node[%s] memory pool types[%zu] is not equal to the number of addresses[%zu].[%s:%d]%lu %s:Node[%s]'s output[%zu] memory type is level[%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode [%s] get ref fail.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAlloc node[%s] output memory fail, because outputsize [%zu] [%zu] and [%u] is not equal.[%s:%d]%lu %s:Node [%s] all output allocate ffts memory.[%s:%d]%lu %s:Node [%s] Output [%u] don't need alloc memory.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAlloc node [%s] output index [%u] ffts memory fail.[%s:%d]%lu %s:Node [%s] Output index [%u] don't need alloc memory.[%s:%d]%lu %s:Node [%s] Output index [%u] alloc ffts memory.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode [%s] calc output index [%u] tensor size fail.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAlloc node [%s] output index [%u] memory fail.((SetNodeSkipCtx(lower_input, const_val)) != nullptr)[%s:%d]%lu %s:Lowering ffts plus dynamic node[%s].((workspace_addrs) != nullptr)(ConstructArgsInput(node, args_inputs, workspace_addrs, thread_para, lower_input))[%s:%d]%lu %s:Node [%s] outputs has no invalid cmo.[%s:%d]%lu %s:Node [%s] has no invalid cmo id.[%s:%d]%lu %s:Node [%s] mem pool type is null.[%s:%d]%lu %s:Node [%s] has invalid param [%zu] isn't same [%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sMake history ptr failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sMake shared failedLowering post-processing failed.Lowering ffts dynamic aicore failedConditional control op post-processing failed.Dynamic node[%s]'s lower input is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamic node[%s]'s lower input is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[LoweringFFTSAiCoreNode]Input is invalid.Static node[%s]'s lower input is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sStatic node[%s]'s lower input is invalid.((holder) != nullptr)(ge::ExecuteGraphAdapter::GetInstance().EnableUseExecuteGraph())vector::_M_fill_insert[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] create input mem type holder failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] do not have mem pool type attr.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] create output mem type holder failed._ffts_memory_pool_type(!ge::ExecuteGraphAdapter::GetInstance().EnableUseExecuteGraph())((node) != nullptr)(!subgraph_names.empty())_PointFrom((CalcChainConflictSolvePolicy(node, subgraph_indexes_to_netoutput, conflict_indexes, all_same_indexes)) == ge::SUCCESS)((AddPointFromForConflicts(node->GetName() + "_PointFrom", conflict_indexes, subgraph_indexes_to_netoutput)) == ge::SUCCESS)((CalcSubgraphGuardersPolicy(node, all_guarder_indexes_types, subgraph_indexes_to_policy)) == ge::SUCCESS)((RemoveGuarders(subgraph_indexes_to_policy[i].to_be_removed_guarders)) == ge::SUCCESS)((AddPlusCount(node->GetName() + "_Subgraph_" + std::to_string(i) + "_AddResRef_", subgraph_indexes_to_policy[i].plus_refs)) == ge::SUCCESS)%lu_Subgraph__AddResRef_((AddGuardersToParentNode(all_guarder_indexes_types, outputs)) == ge::SUCCESS)(i < indexes_to_placements.size())Failed to create %s node, no subgraph inputs((CreateControlFrame(cond_holder, subgraph_names.size())) == ge::SUCCESS)((CreateBranchGraphs(cond_holder, builders, subgraph_names, subgraph_names_to_outputs)) == ge::SUCCESS)(!outputs.empty() && (outputs[0] != nullptr))((EnsureResourceLifeCycleExtended(outputs)) == ge::SUCCESS)((EnsureChainConflictSolved(outputs)) == ge::SUCCESS)((UpdatePlacement(subgraph_names_to_outputs, outputs)) == ge::SUCCESS)((SortAllSubgraphs(outputs[0])) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create if node, the input cond is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create if node, then and else branch builders are nullptrthen_graphelse_graphLoweringFFTSAiCoreNodeUpdatePlacementEnsureChainConflictSolvedEnsureResourceLifeCycleExtendedCreateFromNodeCreateFromNodeLegacyCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCondIfoperator()LoweringFFTSAiCoreDyNodeConstructArgsInputLoweringFFTSDyNodeProcCollectNodeConstValSinkBinForAicoreAddAllocFftsMemoryAddOutputAddrWithCmoInvalidCtxCalcFftsMemoryReusestatic ge::TypeID ge::TypeID::Of() [with T = std::set]AllocOutputMemorysProcGELocalOutMemUpdateRefOutputMemoryLoweringAICoreIfPostProcCalcAICoreArgsMemCalculateOutputAllocMemorySizeUpdatePlacementEnsureChainConflictSolvedEnsureResourceLifeCycleExtendedCreateFromNodeCreateFromNodeLegacyCondIfoperator()FFTSTilingGetDependInputIndexCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidUpdateAicoreContextInsertCMOCtxListstatic ge::TypeID ge::TypeID::Of() [with T = std::vector >]static ge::TypeID ge::TypeID::Of() [with T = std::vector]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr > > >]*ZN4gert10FFTSTilingERKSt10shared_ptrIN2ge4NodeEERKNS_14FFTSLowerInputERSt6vectorIS0_INS_2bg11ValueHolderEESaISC_EESF_SF_EUlvE_*ZN4gert10FFTSTilingERKSt10shared_ptrIN2ge4NodeEERKNS_14FFTSLowerInputERSt6vectorIS0_INS_2bg11ValueHolderEESaISC_EESF_SF_EUlvE0_*ZN4gert24LoweringFFTSAiCoreDyNodeERKSt10shared_ptrIN2ge4NodeEERKNS_14FFTSLowerInputEEUlvE_*ZN4gert24LoweringFFTSAiCoreDyNodeERKSt10shared_ptrIN2ge4NodeEERKNS_14FFTSLowerInputEEUlvE0_FSt6vectorISt10shared_ptrIN4gert2bg11ValueHolderEESaIS4_EEvEN2ge6AnyMap11PlaceholderEN2ge6AnyMap6HolderISt6vectorIjSaIjEEEEN2ge6AnyMap6HolderISt6vectorISt10shared_ptrIN4gert2bg11ValueHolderEESaIS7_EEEEN2ge6AnyMap6HolderISt10shared_ptrISt6vectorIS3_IS2_IN4gert2bg11ValueHolderEESaIS7_EESaIS9_EEEEESt23_Sp_counted_ptr_inplaceISt6vectorIS0_ISt10shared_ptrIN4gert2bg11ValueHolderEESaIS5_EESaIS7_EESaIS9_ELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN4gert2bg11ValueHolderELN9__gnu_cxx12_Lock_policyE2EEPFSt6vectorISt10shared_ptrIN4gert2bg11ValueHolderEESaIS4_EEvESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt6vectorISt10shared_ptrIN4gert2bg11ValueHolderEESaIS8_EEEESaISB_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt6vectorIjSaIjEEEESaIS6_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrISt6vectorIS4_IS3_IN4gert2bg11ValueHolderEESaIS8_EESaISA_EEEEESaISE_ELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN4gert2bg17DevMemValueHolderELN9__gnu_cxx12_Lock_policyE2EEaicore_ffts_static_converter.ccStaticManualUpdateExceptionDumpInfoStaticAutoUpdateExceptionDumpInfo[%s:%d]%lu %s: ErrorNo: %u(%s) %sCtx num[%zu] not equal with [%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] threaddim[%u]/windowsize[%u] is invalid.Node input ori shapes size is empty.Node input ori shapes sizes is empty or size not same as in_num.Node output ori shapes size is empty.Node output ori shapes sizes is empty or size not same as out_num.Node input shapes sizes is empty or size not same as in_num.Node output shapes sizes is empty or size not same as out_num.StaticUpdateManualDataDumpInfo[%s:%d]%lu %s:Lowering FFTS Plus static manual node[%s].Create workspace holder failed.Sink FFTS manual node bin failed.Update manual node context failed.AICore manual post proc failed.[%s:%d]%lu %s:Lowering FFTS Plus static auto node[%s].Sink FFTS auto node bin failed.Update auto node context failed.((desc_ptr) != nullptr)_tensor_ctx_id_context_idStaManualUpdateContext_ffts_window_sizeStaAutoUpdateContextFFTSUpdateStaAICoreArgs_thread_addr_offsetFFTSUpdateAutoAICoreArgsStaticUpdateAutoDataDumpInfo_thread_idNode input shapes is empty.Node output shapes is empty._ffts_free_vec_holderWorkspace address is null.Node output size is 0.FailedFailed, found null holderAICore auto post proc failed.LoweringFFTSAutoAiCoreNodeLoweringFFTSManualAiCoreNodeUpdateStaticAutoDataDumpInfoCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidUpdateStaticManualDataDumpInfostatic ge::TypeID ge::TypeID::Of() [with T = std::vector >]CollectNodeCmoInfoaicore_node_converter.ccpartially_supported_fe_single_op_scenertGetDevice(&device_id)_original_fusion_graphReportRollbackErrorSetOutputShapeaicpu_kernel_lib_nameSet Attr:%s fail for node:%s._Data_0_Data_((data_op_desc) != nullptr)((ori_op_desc) != nullptr)tbe_op_atomic_dtypes_MemSet_AtomicCleanClearOutIndexesworkspaceWorkspaceIndexes_atomic_cube_vector_core_typetbe_op_atomic_int64_valuestbe_op_atomic_float_values_in_out_nodes_holder,tmp-graph((atomic_node) != nullptr)((atomic_bin) != nullptr)((launch_arg_ref) != nullptr)Not find AI core task defLowering with flag failedLowering with handle failed((launch_holder) != nullptr)Get qos info failed.opnameoptypeE22001Can not find compile resultUnexpected task defs countNot find AI core taskdef.Node[%s] lowering failed.[%s:%d]%lu %s:Node[%s] is third class op, jump rollback aicpu.[%s:%d]%lu %s:Node[%s] can not get owner graph.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] can not get root graph.[%s:%d]%lu %s:Node[%s] single op flag %d, single op graph flag %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetStmType][Node:%s] Qos parallel_group_id %u is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetStmType][Node:%s] Get stream engine qos failed.[%s:%d]%lu %s:node[%s]'s groupId value is %u, qos is %d, mpamId is %d.[%s:%d]%lu %s:Node[%s] is third class op, jump check empty tensor.[%s:%d]%lu %s:Node[%s] need check output empty.[%s:%d]%lu %s:Lowering node[%s] roll back to AiCpu, kernel lib is %s.[%s:%d]%lu %s:AiCpu lowering func is null.[%s:%d]%lu %s:Lowering AiCpu node failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Attr:%s]fail for node:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSet Attr:%s fail for node:%s.[%s:%d]%lu %s:Begin to do Atomic optiling for op[%s, %s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get workspace size list from op[%s, %s].((workspace_data_op_desc) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sworkspace_data_op_desc add output desc failed((workspace_data_node) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sadd edge between [%s] and [%s] failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sdata_op_desc add output desc failed, i = %zu[%s:%d]%lu %s:Generate atomic logic for node %s type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sadd node failed[%s:%d]%lu %s:Set attr to atomic with size:%zu %zu %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sadd data node for atomic clean node failed, outputs_indexes size = %zu[%s:%d]%lu %s:[AIC_INFO] atomic node %s[%s:%d]%lu %s:No find atomic task def, stop atomic lowering.[%s:%d]%lu %s:node %s AllocRtArg with all kernel.[%s:%d]%lu %s:node %s AllocRtArg with single kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOp[%s] does not have attr[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sSet attr[%s] for Op[%s] failed.[%s:%d]%lu %s:No find static atomic task def, stop atomic lowering.[%s:%d]%lu %s:Node %s has no ATOMIC_COMPILE_INFO_JSON.[%s:%d]%lu %s:Node %s has ATOMIC_COMPILE_INFO_JSON.[%s:%d]%lu %s:Lowering with rollback aicpu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s lowering with rollback aicpu failed.((proc_arg.tiling_ret[TilingContext::kOutputTilingData]) != nullptr)[%s:%d]%lu %s:Lowering node[%s] with handle begin.[%s:%d]%lu %s:Node[%s] add atomic launch to order holders.[%s:%d]%lu %s:Lowering node[%s] with flag begin.[%s:%d]%lu %s:Lowering node[%s] with static aicore begin._static_to_dynamic_softsync_op[%s:%d]%lu %s:Node[%s] is virtual op, no need to lowering.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not find compile result for node %s type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnexpected task defs count %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] lowering failed.vector::reserve[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Invalid args_offset, size:%zu is smallerthan size of uint16_t. [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Offset] Arg offset out of range. offset = %zu, arg_size = %zu, kernel def arg size = %zu((node_desc_holder) != nullptr)((memcpy_s(node_desc->compiled_args, node_desc->GetCompiledArgsCap(), kernel_def.args().data(), offset)) == EOK)[%s:%d]%lu %s:Received args info num[%zu], while compute node io num[%zu]. No ArgsInfo received. Create args info by compute node automatically.CHECK failed: (index) >= (0): CHECK failed: (index) < (current_size_): ((CheckArgsInfo(args_infos, compute_node)) == ge::SUCCESS)((GetOrCreateArgsInfos(args_infos, received_args_info_num, kernel_def, compute_node)) == ge::SUCCESS)((ProcFoldedDescArgs(compute_node, args_infos)) == ge::GRAPH_SUCCESS)((ParseIoNumFromArgsInfo(args_infos, input_args_info_num, output_args_info_num, input_valid_num, output_valid_num)) == ge::SUCCESS)((args_info_desc_holder) != nullptr)[%s:%d]%lu %s:Copy args info, copy num:%zu, mem size:%zu((memcpy_s(args_info_desc->MutableArgsInfoBase(), args_info_desc->GetArgsInfoSize(), args_infos.data(), args_info_size)) == EOK)dynamicParamModefolded_with_desc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] Invalid max tiling size: %ld, key name %s.((node_desc_input) != nullptr)((args_info_desc_input) != nullptr)AllocLaunchArgLoweringAiCoreNodeLoweringStaticAicoreNodeAicoreProcWithFlagLoweringWithFlagProcLoweringAiCoreNodeWithFlagUpdatePlacementEnsureChainConflictSolvedEnsureResourceLifeCycleExtendedCreateFromNodeCreateFromNodeLegacyCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCondIfstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]AicoreProcWithHandleNodeSupportRollbackLoweringWithHandleProcLoweringAiCoreNodeWithHandleRollbackAiCpuProcLaunchStaticAtomicCreateVectorHolderGetOrCreateArgsInfosCreateArgsInfoDescCreateComputeNodeDescNodeAllocRtArgGetOrCreateArgsInfosCreateArgsInfoDescCreateComputeNodeDescNodeAllocRtArgLaunchAtomicBuildAtomicNodeAddDataNodeForAtomicGetCleanIndexesLoadAtomicWorkspaceGetQosInfoCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidNeedCheckEmptyOutputstatic ge::TypeID ge::TypeID::Of() [with T = std::map, std::map >]static ge::TypeID ge::TypeID::Of() [with T = std::vector >]IsSingleOpScene*ZN4gert22LoweringWithHandleProcERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputERNS_12_GLOBAL__N_18ProcArgsERSt6vectorIS0_INS_2bg11ValueHolderEESaISF_EEEUlvE_*ZN4gert22LoweringWithHandleProcERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputERNS_12_GLOBAL__N_18ProcArgsERSt6vectorIS0_INS_2bg11ValueHolderEESaISF_EEEUlvE0_*ZN4gert28LoweringAiCoreNodeWithHandleERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert28LoweringAiCoreNodeWithHandleERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE0_*ZN4gert20LoweringWithFlagProcERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputERNS_12_GLOBAL__N_18ProcArgsERSt6vectorIS0_INS_2bg11ValueHolderEESaISF_EEEUlvE_*ZN4gert20LoweringWithFlagProcERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputERNS_12_GLOBAL__N_18ProcArgsERSt6vectorIS0_INS_2bg11ValueHolderEESaISF_EEEUlvE0_*ZN4gert26LoweringAiCoreNodeWithFlagERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert26LoweringAiCoreNodeWithFlagERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE0_N2ge10AttrHolderEN2ge6AnyMap6HolderISt3mapISsS2_IllSt4lessIlESaISt4pairIKllEEES3_ISsESaIS5_IKSsS9_EEEEEN2ge6AnyMap6HolderISt6vectorISt10shared_ptrINS_4NodeEESaIS5_EEEESt23_Sp_counted_ptr_inplaceIN2ge6OpDescESaIS1_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge12ComputeGraphESaIS1_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt3mapISsS3_IllSt4lessIlESaISt4pairIKllEEES4_ISsESaIS6_IKSsSA_EEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt6vectorISt10shared_ptrINS0_4NodeEESaIS6_EEEESaIS9_ELN9__gnu_cxx12_Lock_policyE2EEatomic_ffts_node_converter.ccFFTSCalcAtomicOutputShapeSizeFFTSUpdateAtomicArgs(ret == ge::GRAPH_SUCCESS)CopyAtomicTilingdata((tmp_graph) != nullptr)((clean_node) != nullptr)((one_val) != nullptr)Update atomic args failed.AtomicUpdateContextUpdate atomic context failed.((out_clean_indexes) != nullptr)[%s:%d]%lu %s:Begin to copy atomic kernel tiling data.[%s:%d]%lu %s:Node[%s] need do atomic clean with tiling size[%zu].[%s:%d]%lu %s:Static and reuse binary situation.Sink atomic FFTS node bin failed.static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]AtomicNodeTilingLaunchFFTSAtomicCleanCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCopyAtomicKernelTilingdataFFTSAtomicTilingCalculateAtomicOutputSize_dynamic_inputs_indexes_op_kernel_all_input_sizemix_l2_node_converter.ccmix_l2FftsTaskInfoPreProcoptionalInputModegen_placeholderMixL2UpdateExceptionDumpInfo((compile_result) != nullptr)MixL2UpdateDataDumpInfo_mix_dynamic_ratiomix_tiling_with_ratio_attrmix_tiling_keymix_tiling_c_ratiomix_tiling_v_ratio_tiling_data_str((cal_func) != nullptr)stoullCopyTilingdata_soft_sync_schedule_mode(ret_preproc == ge::SUCCESS)FFTSUpdateMixL2ArgsMixL2UpdateContextTask info proc failed.[%s:%d]%lu %s:Op kernel input size %zu, all anchor size[%zu], dynamic add size[%zu],[%s:%d]%lu %s: ErrorNo: %u(%s) %sMixL2 node[%s] pre proc task return null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s(%s)] Invalid all_input_size: %zu.[%s:%d]%lu %s:MixL2 node[%s] is dynamic with folded.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s(%s)] Invalid max tiling size: %zu.[%s:%d]%lu %s:node_desc detail %lu|%lu|%lu|%lu|%lu|%lu[%s:%d]%lu %s:Calculate MixL2 node[%s]'s args size:%zu((lower_args.out_mem_type) != nullptr)((lower_args.thread_para) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sMixL2 node[%s] has no taskdef.vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)((trans_task_info) != nullptr)[%s:%d]%lu %s:Node [%s:%s] need gen place holder(all_input_size >= node->GetAllInDataAnchorsSize())[%s:%d]%lu %s:Input anchor [%zu] is suspend.[%s:%d]%lu %s:Input anchor [%zu] is not optional.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] calculate size failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] create memory guard failed.[%s:%d]%lu %s:Alloc mix l2 total size:%zu.[%s:%d]%lu %s:Alloc mix l2 mem on main graph.((all_mem_para.host_addr_base) != nullptr)((all_mem_para.dev_addr_base) != nullptr)[%s:%d]%lu %s:Not dynamic ratio type, back to mixl2.[%s:%d]%lu %s:Update dynamic ratio by tilingKey.[%s:%d]%lu %s:Get dynamic ratio attr success.((proc_args.workspaces) != nullptr)[%s:%d]%lu %s:Begin to copy tiling data.((workspaces_addr) != nullptr)(input_init_ret == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate io add num holder failed.[%s:%d]%lu %s:MixL2 input num[%zu], output num[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet dynamic ratio info failed.MixL2 pre alloc memory failed.[%s:%d]%lu %s:MixL2 %s node[%s] begin to lowering.Node infer output shapes failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtFree failed, error: %#x[%s:%d]%lu %s:Add node mem size:%zu.UpdatePlacementEnsureChainConflictSolvedEnsureResourceLifeCycleExtendedCreateFromNodeCreateFromNodeLegacyCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCondIfUpdateContextByDynRatioUpdateMixL2ContextMixL2UpdateArgsCopyKernelTilingdatastatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]LoweringMixL2PreProcLoweringProcLoweringFFTSPlusMixL2LaunchMixl2MemsetFFTSAddNodeMemParaAllocMixL2AllMemInitInputsForMixL2MixL2TaskInfoPreProcMixL2ProtoTransferCalcMixL2ArgsMemCalcMixL2InArgsNumCalcOpAllInputSizeCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoid~TsMemMall*ZN4gert18MixL2ProtoTransferERKSt10shared_ptrIN2ge4NodeEERKNS_18LoweringGlobalDataERmRSt10unique_ptrIA_hSt14default_deleteISB_EEEUljE_*ZN4gert21LoweringFFTSPlusMixL2ERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert21LoweringFFTSPlusMixL2ERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE0_N4gert21FftsPlusProtoTransfer22save_aicpu_ctx_handle_MUlRKSt10shared_ptrIN2ge6OpDescEERKN4domi14aicpuKernelDefEE_ESt15_Sp_counted_ptrIPN2ge9TsMemMallELN9__gnu_cxx12_Lock_policyE2EEFailed to create free node for workspace, unknown memory type %dFailed to create AllocMem for workspace, unknown memory type %d(placement < kTensorPlacementEnd)bg_aicore_memory.cc((mem) != nullptr)AllocShapeBufferMem((block_memory) != nullptr)aclnn_op_execute_kernel.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find op execute func, node type is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find op execute func, space registry is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find op execute func, op impl functions is nullptr((op_execute_func) != nullptr)((op_execute_func(op_execute_context)) == ge::SUCCESS)CreateBlockMemoryOutputExecuteOpFuncFindOpExeFuncaicore_update_kernel.cc((out_shape) != nullptr)((out_ctxs) != nullptr)((flush_data) != nullptr)((out_shapes) != nullptr)((slice) != nullptr)((slice_tail) != nullptr)((result) != nullptr)((depend_cv) != nullptr)((slice_cv) != nullptr)((slice_ori_cv) != nullptr)((in_tensor) != nullptr)((workspace) != nullptr)((tail_workspace) != nullptr)((out_work) != nullptr)((new_vec_holder) != nullptr)((no_tail_slice) != nullptr)((tail_slice) != nullptr)((addrs_data[i]) != nullptr)((args_para) != nullptr)(para_base != 0U)((ctx_ids) != nullptr)((data_ctx) != nullptr)((node_ctx) != nullptr)((non_tail_in) != nullptr)((task_info) != nullptr)((com_ctx) != nullptr)(offset < tensor_size)((in_mem_type) != nullptr)((out_mem_type) != nullptr)((args_base_addr) != nullptr)((tensor_data) != nullptr)((ffts_mem) != nullptr)((discard_holder) != nullptr)((atom_ctx_ids) != nullptr)((cmo_ctx_ids) != nullptr)Update node name[] tiling shape:Out shape ptr is null., shape:[] original shape:[Launch args pointer is null.Tiling data: All args: [%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]AiCore tiling failed, while rollback aicpu still failed.[%s:%d]%lu %s:Build output shapes size:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel][BuildShapesOutputs]Size not equal.[%s:%d]%lu %s:Index:%zu is data depend.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Input slice num[%zu] is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Slice num[%zu]'s size[%zu] not equal with tail size[%zu].[%s:%d]%lu %s:[%s][%s]In slice index[%zu]'s shape index[%zu] not equal.[%s:%d]%lu %s:[%s][%s]Thread shape equal flag is %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Thread size:%zu != context out size:%zu.[%s:%d]%lu %s:[%s][%s]Update tiling shape size[%zu], need ori shape flag[%d][%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel][FFTSTilingShape]Out shape ptr is null.[%s:%d]%lu %s:Copy tensor index:%zu, type:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]NoTail(%zu) and tail(%zu) Worksize not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Work size[%zu] overflow.[%s:%d]%lu %s:FFTS calculate workspace begin with thread num:%u, work size:%zu.[%s:%d]%lu %s:Workspace index:%zu non tail size[%zu], tail size[%zu], all size[%zu].((out_memory_size) != nullptr)[%s:%d]%lu %s:FFTS calculate work size:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]NoTail(%zu) or tail(%zu) size is invalid.[%s:%d]%lu %s:memory index:%zu non tail size[%zu], tail size[%zu], all size[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]NoTail(%zu) and tail(%zu) size not equal or output index (%zu) is over then slice size.[%s:%d]%lu %s:FFTS calculate output size:%zu.[%s:%d]%lu %s:memory index:%zu non tail size[%ld], tail size[%ld], real size [%ld].[%s:%d]%lu %s: ErrorNo: %u(%s) %sThread dim is zero.[%s:%d]%lu %s:Add workspace, index:%zu, thread_id:%u, workspace_addr:%lu, addr_size:%ld, work_size:%zu.((args_para->host_addr) != nullptr)[%s:%d]%lu %s:Add host args, args_addr:%lu, args_size:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Anchor input indexes nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Anchor input slice nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Slice num:%zu or input num:%zu is invalid.[%s:%d]%lu %s:[%s][%s]Cut input index num:%zu, input num:%zu.[%s:%d]%lu %s:[%s][%s]Offset is 0 when no slice.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel]Input tensor index:%u is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel]Offset[%ld] calculate err with range:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel]Offset[%ld] value is invalid.[%s:%d]%lu %s:[%s][%s]Input anchorIndex: %u, thread_offset: %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel][CalcAutoThreadOutput]Anchor output indexes nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel][CalcAutoThreadOutput]Anchor output slice nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel][CalcAutoThreadOutput]Slice num not equal to outputs num.[%s:%d]%lu %s:[%s][%s]Cut output index num:%zu, output num:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel]Output tensor index:%d is invalid.[%s:%d]%lu %s:[%s][%s]Output anchorIndex: %u, thread_offset: %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Param is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Thread dim is zero.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Calculate thread input offset failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Calculate thread output offset failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Workspace ptr is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][Kernel][CalcAutoThreadWorkspace]Offset num over max size %zu.[%s:%d]%lu %s:[%s][%s]Workspace:%zu, thread_offset: %zu.[%s:%d]%lu %s:Cal param total offset num:%zu with thread dim:%u and schedule mode:%u.[%s:%d]%lu %s:Update data context window_size[%u] ori window_size[%u], context num[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %sData context num less than windowsize.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[FillDataCtx] Real size(%u) over threads(%zu)/ori_window(%u).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[FillDataCtx]Index(%u) over max size(%zu).[%s:%d]%lu %s:Update data context id[%u] with index[%zu] thread[%u][%s:%d]%lu %s: ErrorNo: %u(%s) %sData ctx[%u] over total num[%u].[%s:%d]%lu %s:NonTail length inner:%u, Tail length inner:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Input index is overflow.[%s:%d]%lu %s:Node input index %d dim num:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GenDataCtxParam]Slice is empty.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Input td of index:%u is null.[%s:%d]%lu %s:Stride[%ld] overflow, use burst len.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Not support input empty tensor.[%s:%d]%lu %s:DataType:%d stride:%ld.[%s:%d]%lu %s:Length inner:%u over flow, use burst len.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][GenInputCmoParam]Output index is overflow.[%s:%d]%lu %s:Node output index %u dim num:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][GenInputCmoParam]Output td of index:%u is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Not support output empty tensor.[%s:%d]%lu %s:There hasn't reuse ctx id ptr.[%s:%d]%lu %s:The node hasn't ctx id.[%s:%d]%lu %s: ErrorNo: %u(%s) %sctx id num [%zu] isn't less than window size [%u].[%s:%d]%lu %s:There is window size [%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %sReuse index [%zu] reuse ctx ids size [%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sReuse data ctx[%ld] over total num[%u].[%s:%d]%lu %s:Data ctx id [%ld] reuse by ctx id [%d] reuse, but data ctx successorlist over 26.[%s:%d]%lu %s:Add ctx id [%d] to ctx id [%ld] 's successorlist.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Get input value err.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][GenInputCmoParam]Tail slice of input is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][GenInputCmoParam]Non tail slice of output is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s][GenInputCmoParam]Tail slice of output is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Get cmo flush data error.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Compute node is null.[%s:%d]%lu %s:Update %s's index num %zu.[%s:%d]%lu %s:Update AICore node begin.((task_info->descBuf) != nullptr)((task_info->fftsPlusSqe) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Update data context failed.[%s:%d]%lu %s:[%s][%s]Update %zu ctx Base:0x%lx, block dim:%d/%d, thread dim:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Context Id(%d) overflow.[%s:%d]%lu %s:Update context id[%d] type[%d], schedule mode[%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Not support context type:%d.[%s:%d]%lu %s:Mode addr:0x%lx, addr index: %zu, thread index: %u, args index: %zu((tensor_data->GetAddr()) != nullptr)[%s:%d]%lu %s:Addr base:0x%lx, io index:%zu, thread:%u, thread_offset:%lu, args index:%zu, tensor_size:%zu.((ffts_mem->Addr(i)) != nullptr)[%s:%d]%lu %s:Addr base: 0x%lx, addr index: %zu, thread index: %u, args index: %zu[%s:%d]%lu %s:Addr base: 0x%lx, addr index: %zu, thread index: %u, thread addr offset: 0x%lx, args index: %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetFlushDataVal]Thread dim[%u] is invalid.((args_para->dev_addr) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]In/Out io num:%zu/%zu over max num.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]In/Out mem type size:%zu/%zu is invalid.[%s:%d]%lu %s:[%s][%s]Update mode addr:%zu, args io:%u, workspace:%zu, check_res:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Args size[%zu] overflow cap[%zu].[%s:%d]%lu %s:Args host pos[%zu], absolute pos[%zu], rtArgs base[%lx], dev args addr[%lx].(InitCtxIoAddrs(io_index, tensor_data, thread_para, flush_data, args_host_data))(InitCtxIoAddrs(io_index, ffts_mem, thread_para, flush_data, args_host_data))(InitCtxIoAddrs(io_index, addrs_data[i], thread_para, flush_data, args_host_data))[%s:%d]%lu %s:[%s][%s]Args host real size[%zu] with max size[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel]Tensor is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel]Offset[%ld] calculate err with range:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel]Offset[%ld] value is invalid.[%s:%d]%lu %s:Output anchorIndex: %u, thread_offset: %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel][CalcAICoreThreadOffset]Anchor %s slice nullptr or last slice nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel][CalcAICoreThreadOffset]Anchor %s slice size(%zu) or last slice size(%zu) is not idx_num(%zu).[%s:%d]%lu %s:Set skip node ctx id:%u type:%u.(discard_holder->SetSkipCtx(ctx_id_vec[i], ctx_type))[%s:%d]%lu %s:Set skip node atomic ctx id:%u.(discard_holder->SetSkipCtx(ctx_id_vec[i], RT_CTX_TYPE_AIV))[%s:%d]%lu %s:Set skip node cmo ctx id:%u, type:%u.(discard_holder->SetSkipCtx(ctx_id_vec[j], cmo_type))[%s:%d]%lu %s:History output ffts memory addr is zero.[%s:%d]%lu %s:Reuse info utput_addrs_size:%zu output_addrs_index:%zu old_output_size:%zu old_output_index:%zu((input_slice_indexes) != nullptr)((output_slice_indexes) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sIn/Out io num:%zu/%zu over max num.[%s:%d]%lu %s: ErrorNo: %u(%s) %sIn/Out mem type size:%zu/%zu is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCtx_id_vec is empty.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreateFftsCtxInfo failed, thread_id:%u, ctxid:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAddFftsCtxAddr input failed, thread_id:%u, ctxid:%u, input_addr:%lu, input_size:%lu.FFTS Plus launch AICore args: ReportRollbackErrorSetNodeSkipCtxCreateFlushDataAICoreUpdateGeExceptionDumpInfoGetAddrByMempoolTypeAICoreUpdateGeDataDumpInfoGetInputOutputSliceIndexesCalcAICoreThreadShapesSizeCalcShapesSizeFFTSUpdateAICoreArgsGetFlushDataValInitOpTilingInitL1WorkAddrsInitCtxIoAddrsInitCtxIoAddrsInitCtxModeAddrBuildFFTSCalculateFftsMemoryReuseFFTSCalculateFftsMemoryReuseFFTSCalcFftsMemoryReuseWithHistoryOutputBuildOutputFftsMemoryFFTSCalculateOutputFftsMemoryFFTSCalculateFftsMemoryBuildWorkspaceOutputFFTSCalculateWorkSpaceBuildShapesOutputsUpdateFFTSTilingShapeCheckTilingShapeEqualAICoreUpdateContextGetCmoFlushDataExGetCmoFlushDataUpdateCmoProcUpdateCmoInvalidWithFftsMemReuseGenerateOutputCmoParamGenerateTailDataCtxParamGenerateDataCtxParamGenerateInputCmoParamFillDataCtxDmuUpdateCmoCtxProcCreateThreadParamAICoreGetAutoThreadParamCalcAutoThreadOutputCalcAutoThreadInput((task_flush) != nullptr)atomic_ffts_update_kernel.cc((slice_shape) != nullptr)((work_index) != nullptr)((out_index) != nullptr)((output_clean_index) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Output index (%ld) is over then slice size(%zu).[%s:%d]%lu %s:[%s][%s]Out index[%ld] size[%lu] with type[%d].[%s:%d]%lu %s:Update atomic node begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Atomic context Id(%d) overflow.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Atomic context[%d] is nullptr.[%s:%d]%lu %s:Update context id[%d].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetAtomFlushDataVal]Thread dim[%u] is invalid.[%s:%d]%lu %s:Update atomic args clear out num:%zu, work num:%zu.(real_size <= rt_args->GetArgsCap(RtFFTSKernelLaunchArgs::kAtomArgsHostAddr))[%s:%d]%lu %s:Args host pos[%zu], absolute pos[%zu], rtArgs base[%lx], dev args addr[%lx], proc_type:%u.Param:tensor_data is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_data]null is invalid(InitCtxIoAddrs(i, tensor_data, thread_para, flush_data, args_host_data))Param:ffts_mem is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ffts_mem]null is invalid(InitCtxIoAddrs(i, ffts_mem, thread_para, flush_data, args_host_data))[%s:%d]%lu %s: ErrorNo: %u(%s) %sClean work index[%zu] over size[%zu].CreateAtomicFlushDataFFTSUpdateAtomicArgsGetAtomFlushDataValFFTSCalcAtomicOutputShapeSizeAtomicUpdateContextmixl2_update_kernel.cc((data_str) != nullptr)((des_data_ptr) != nullptr)Copy tilingdata failed.((ret) == EOK)((tiling_keys) != nullptr)((c_ratios) != nullptr)((v_ratios) != nullptr)((io_shape) != nullptr)Dynamic in args: Dynamic out args: FFTS Plus launch MixL2 args: _sgt_json_info_sgt_struct_info_sgt_struct_info_dy[%s:%d]%lu %s: ErrorNo: %u(%s) %sIn/Out io num:%zu %zu are over max num.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreateFftsCtxInfo failed, thread_id:%u, ctx_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAddFftsCtxAddr input failed, thread_id:%u, ctx_id:%u, input_addr:%lu, input_size:%lu.((workspace_addrs_data[i]) != nullptr)[%s:%d]%lu %s:Add workspace, index:%zu, workspace_addr:%lu, addr_size:%ld, work_size:%zu.[%s:%d]%lu %s:Copy tilingdata begin[%s:%d]%lu %s:data_str_len lenth is: %zu.[%s:%d]%lu %s:des_data lenth is: %zu.[%s:%d]%lu %s:memcpy_s ret:%d.[%s:%d]%lu %s:Copy atomic tilingdata begin[%s:%d]%lu %s:data_str lenth is: %zu.Copy atomic tilingdata failed.[%s:%d]%lu %s:MixL2 nonTail_Block_dim:%u, tail_Block_dim:%u, schedule mode:%u[%s:%d]%lu %s:MixL2 %lu|0x%lx|%lu|0x%lx[%s:%d]%lu %s:MixL2 context update success[%s:%d]%lu %s:Dyn Ratio context update: contextType:%u, nonTailBlockRatioN:%u, tailBlockRatioN:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sContext Id(%u) overflow.[%s:%d]%lu %s:Update MixL2 node begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDyn Ratio tilingKey match failed.[%s:%d]%lu %s:Update args size: add addr[%zu] io[%zu], workspace[%zu].[%s:%d]%lu %s:Args host pos[%zu], absolute pos[%zu], dev base[%lx], dev args addr[%lx], args num:%u.rtGetC2cCtrlAddr(&mode_addr, &len)[%s:%d]%lu %s:Addr base:0x%lx, io index:%zu, args index:%zu[%s:%d]%lu %s:Node add shape buffer addr.[%s:%d]%lu %s:Tiling data base:%lx, pos:%zuLaunch rt args pointer is null.[%s:%d]%lu %s:Addr base: 0x%lx, args index: %zuCopyAtomicTilingdataCopyTilingdataCreateMixL2FlushDataMixL2UpdateGeExceptionDumpInfoMixL2UpdateGeDataDumpInfoInitMixL2AddrsFFTSUpdateMixL2ArgsGetMixL2FlushDataMixL2UpdateContextGetCtxFromKernelUpdateMixL2RatioCtxUpdateMixL2AicAivCtxrt_ffts_plus_launch_args.cc[%s:%d]%lu %s:FFTS args init.((tiling_data) != nullptr)_dynamic_outputs_indexesRedirectLaunchArgs[%s:%d]%lu %s:Add atomic tiling size:%zu, args size:%zu.[%s:%d]%lu %s:Args total size[%zu], tiling:offset[%zu]abs_pos[%zu], args:pos[%zu]abs_pos[%zu], atom:args[%zu]tiling[%zu]offset[%zu].[%s:%d]%lu %s:Dynamic in io index:%ld.[%s:%d]%lu %s:Dynamic out io index:%ld.[%s:%d]%lu %s:Node dynamic input/output size:[%zu][%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sTilingData offset overflow %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sTail tilingData offset overflow %zu[%s:%d]%lu %s:Tiling offset:[%zu][%zu], args offset[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sAtomic tilingData offset overflow %zu((tail_tiling_data) != nullptr)((atomic_tiling_data) != nullptr)((atomic_tail_tiling_data) != nullptr)[%s:%d]%lu %s:Redirect launch args with host addr:%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %sArgs redirect tiling addr failed.[%s:%d]%lu %s:Find dynamic in io index:%ld.[%s:%d]%lu %s:Input io index:%ld is group first.[%s:%d]%lu %s:Find dynamic out io index:%ld.[%s:%d]%lu %s:Output io index:%ld is group first.[%s:%d]%lu %s:%s io:%ld is dynamic.(!ge::AddOverflow(all_size, group_size, all_size))[%s:%d]%lu %s:Calc dynamic %s io desc_size:%zu all_size %zu, dyn_num:%zu.[%s:%d]%lu %s:Dynamic in grp size[%zu] out grp size[%zu] sub size[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalculate atomic args size failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalculate dynamic input args size failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalculate dynamic output args size failed.[%s:%d]%lu %s:FFTS tiling size:%zu, base size:%zu, total size:%zu.RedirectLaunchArgsSetDynOutAddrSetDynInAddrRedirectTilingAddrInitCalcTotalSizeCalcDynamicArgsSizeCalcAtomicArgsSize((cmo_idx) != nullptr)((ctx_id_vec) != nullptr)((offset) != nullptr)((work_addr[i]) != nullptr)static_aicore_update_kernel.cc[%s:%d]%lu %s:[%s][%s]Update AICore static node begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCmo index num[%zu] not equal with ctx id num[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[FillDataCtx]Index(%d) over size.[%s:%d]%lu %s:Update data context[%u] of io index:%d addr:%lx,.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Context Id(%u) overflow with %u.[%s:%d]%lu %s:Update context with para base:%lx.[%s:%d]%lu %s:Update args io:%zu, workspace:%zu.(real_size <= rt_args->GetArgsCap(RtFFTSKernelLaunchArgs::kArgsHostAddr))[%s:%d]%lu %s:Args host real size[%zu] with max size[%zu].[%s:%d]%lu %s:Addr base: 0x%lx, addr index: %zu.[%s:%d]%lu %s:Add workspace, index:%zu, addr_size:%ld, work_size:%zu.[%s:%d]%lu %s:Add thread[%zu] workspace addr[%lu][%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Args num[%u] not equal offset[%zu].[%s:%d]%lu %s:Update args in num:%zu, out num:%zu, work num:%zu.(InitAutoWorkAddrs(io_num + i, work_addr[i], flush_data, proc_arg.args_host_data))[%s:%d]%lu %s:Update data context[%u] of io index:%d addr:%lx.[%s:%d]%lu %s:[%s][%s]Update AICore static auto node begin.[%s:%d]%lu %s:Update context id %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sIn/Out io num:%zu %zu over max num.[%s:%d]%lu %s: ErrorNo: %u(%s) %sWindow size is zero.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCtx_id_vec size(%zu) error, thread_dim is %u, window_size is %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOrishape_size[%lu] smaller than non_tail_shapes_size[%lu].Launch manual args pointer is null.FFTS Plus launch static aicore args: Launch auto args pointer is null.StaAutoUpdateContextUpdateStaticAutoCmoProcUpdateAutoCmoCtxProcStaticAutoUpdateGeExceptionDumpInfoGetAddrSizeAndOffsetStaticUpdateAutoGeDataDumpInfoInitAutoIoAddrsFFTSUpdateAutoAICoreArgsInitAutoWorkAddrsCreateStaticFlushDataStaticManualUpdateGeExceptionDumpInfoStaticUpdateManualGeDataDumpInfoInitCtxWorkAddrsInitCtxIoAddrsFFTSUpdateStaAICoreArgsUpdateStaticAicAivCtxUpdateManualCmoCtxProcUpdateStaticCmoProcStaManualUpdateContextstep_idCreateStepIdIncreaseStepIdPrepareCopyInputs_FakeMemCpyMemCopyGetExtOutputShapesaicpu_callback.cc[%s:%d]%lu %s:Generate cc/tf memcpy logic for node %s type %s.((origin_node->GetOpDescBarePtr()) != nullptr)Param:data_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_op_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sdata_op_desc add input desc failed, i = %zuParam:data_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_node]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sadd data node for memcpy node failed, input size = %u[%s:%d]%lu %s:Op %s type %s is 3th op. engine:%s[%s:%d]%lu %s:Op %s type %s is 4th tf op.[%s:%d]%lu %s: ErrorNo: %u(%s) %sbuild tf memcpy task node failed, tf 4th memcpy doest not finished yet.[%s:%d]%lu %s:Op %s type %s is 4th cc op.[%s:%d]%lu %s: ErrorNo: %u(%s) %sbuild cc memcpy task node failed, cc 4th memcpy doest not finished yet.[%s:%d]%lu %s:Skip node kernel name: %sLaunchCCMemcpyTaskAddDataNodeForMemCpyBuildMemCpyTaskNodeLaunchTfMemcpyTaskAicpuCallbackCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidstatic ge::TypeID ge::TypeID::Of() [with T = std::vector >]*ZN4gert12_GLOBAL__N_116AllocMemcpyInputEmRNS_18LoweringGlobalDataEEUlvE_*ZN4gert9GetStepIdERNS_18LoweringGlobalDataEEUlvE_*ZZN4gert9GetStepIdERNS_18LoweringGlobalDataEENKUlvE0_clEvEUlvE_*ZZN4gert9GetStepIdERNS_18LoweringGlobalDataEENKUlvE0_clEvEUlvE0_*ZN4gert9GetStepIdERNS_18LoweringGlobalDataEEUlvE0__aicpu_ffts_ext_infoaicpu_ffts_node_converter.cc_aicpu_ffts_argsAICpuUpdateContextAICpuGetAutoThreadParamAicpuCalcOutputMaxThreadSizeAssert ( == ) failed, expect actual (ctx_id_vec[i] < ctx_num)FFTSInitAicpuCtxUserDataFFTSUpdateAICpuCCArgsEnsureCreateTfSessionFFTSUpdateAICpuTfArgsffts_plus_aicpu_ascendffts_plus_aicpu_tfoutput_sizes.size()output_shapes.size()output_numCal auto thread param failed.Failed to get output addrs.Update node context failed.InitAicpuCtxUserData failed.Can not find op.Can not find op[%s:%d]%lu %s: ErrorNo: %u(%s) %sAicpu calc failed result of empty ext_info.[%s:%d]%lu %s:ext_size is %zu, ext_total_byte is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAicpu update args failed result of empty args_info.[%s:%d]%lu %s:size_t %zu and %zu multiplication can result in overflow![%s:%d]%lu %s:size_t %zu and %zu addition can result in overflow![%s:%d]%lu %s:ext_total_byte is %zu, arg_size is %zu, arg_total_byte is %zu, total_size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCompile result is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %sTask defs is empty.[%s:%d]%lu %s:ext_total_byte is %zu, arg_size is %zu, arg_total_byte is %zu, io_num is %zu, io_total_byte is %zu, total_size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAicpu calculate output block size vector failed result of output num is zero.lower_input.mem_pool_types.size()lower_input.input_addrs.size()[%s:%d]%lu %s:Node %s if not ref node[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s output %u ref from input %zu exceed input addrs num %zu[%s:%d]%lu %s:Node %s Output index[%u] ref input index[%zu][%s:%d]%lu %s:Begin InitAicpuCtxUserDataOut-of-bounds index[%u] access to task_def.ffts_plus_ctx, the size of task_def.ffts_plus_ctx is:[%u].[%s:%d]%lu %s:Ctx:%u so_name:%s, length:%zu, kernel_name:%s, length:%zu[%s:%d]%lu %s:Begin ConstructAicpuArgsInput[%s:%d]%lu %s: ErrorNo: %u(%s) %sAicpu update args failed result of empty ext_info.[%s:%d]%lu %s:Begin AicpuCCUpdateArgs[%s:%d]%lu %s: ErrorNo: %u(%s) %sConstructMemTypeInput failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sConstructArgsInput failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s get ref map failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to compute the memory allocated for ffts output.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get output addrs.[%s:%d]%lu %s:Level one memory addrs is empty.[%s:%d]%lu %s:Lowering AICPU FFTS Plus node[%s]Not find AI cpu CC ffts plus taskdef.[%s:%d]%lu %s:Set free attr failed.[%s:%d]%lu %s:Lowering AICPU TF FFTS Plus node[%s]Not find AI cpu Tf ffts plus taskdef.[%s:%d]%lu %s:Set free attr failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Op]Can not find op.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][LowerInput]Op %s type %s lower_input is invalid.Op %s type %s lower_input is invalid.[%s:%d]%lu %s:Op %s type %s in FFTS tf_aicpu lowering[%s:%d]%lu %s:Op %s type %s in FFTS cc_aicpu lowering[%s:%d]%lu %s:Begin ConstructMemTypeInputLoweringFFTSAiCpuNodeLoweringFFTSAiCpuTfNodeLoweringFFTSAiCpuCCNodeAicpuFftsCalAndAllocMemGetFftsPlusTaskDefCalcAICpuTfArgsMemCalcAICpuCCArgsMemCalcAICpuCommonArgsMemAicpuTfUpdateArgsConstructMemTypeInputAicpuCCUpdateArgsConstructAicpuArgsInputInitAicpuCtxUserDatastatic ge::TypeID ge::TypeID::Of() [with T = std::set]AicpuAllocOutputMemIsGetRefNodeOutAddrAicpuCalcFftsOutputAllocMemVecstatic ge::TypeID ge::TypeID::Of() [with T = std::vector]static ge::TypeID ge::TypeID::Of() [with T = std::vector >]Not find host AI cpu taskdef.aicpu_node_converter.ccUpdateExtWorkSpaceInfoNot find AI cpu CC taskdef.TensorListPushBackTensorListPopBackNot find AI cpu Tf taskdef.TensorListOp[%s:%d]%lu %s: ErrorNo: %u(%s) %sOp[%s] aicpu_workspace_type size and workspace_bytes size should be equal, but now aicpu_workspace_type size is [%zu], workspace_bytes is [%zu].[%s:%d]%lu %s:Op[%s] workspace size for CUST_LOG is [%ld].[%s:%d]%lu %s:Op[%s] workspace size is zero for CUST_LOG.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][CompileResult]Can not find compile result for node %s type %s[Check][CompileResult]Can not find compile result for node %s type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskDef]Unexpected task defs count %zuUnexpected task defs count %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskDef]Op %s type %s is 4th op, unexpected task defs count %zuOp %s type %s is 4th op, unexpected task defs count %zu[%s:%d]%lu %s:Op %s type %s in tf_aicpu lowering.[%s:%d]%lu %s:Op %s type %s in cc_aicpu lowering.[%s:%d]%lu %s:Op %s type %s in host_cpu lowering.LoweringAiCpuNodeUpdateWorkSpaceSizeAndAddrcontainer_idCreateSessionDestroySessionClearContainercontainer.ccCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoid*ZZN4gert2bg20GetContainerIdHolderERKNS_10LowerInputEENKUlvE_clEvEUlvE_*ZZN4gert2bg20GetContainerIdHolderERKNS_10LowerInputEENKUlvE_clEvEUlvE0_*ZN4gert2bg20GetContainerIdHolderERKNS_10LowerInputEEUlvE_sequence_at.ccE39999SequenceEmptyComputeSequenceAtComputeBuildAddrFromTensorCompute(IsValidHolder(output_addrs))SequenceLengthComputeSequenceAtSequenceEmptySequenceLength[%s:%d]%lu %s:LoweringSequenceEmpty dtype = %uFailed create SequenceEmptyCompute lower run kernel func node(IsValidHolder(compute_holder))Failed create SequenceAtCompute lower run kernel func node(IsValidHolder(output_tensors))BuildInferShapeFromTensorComputeFailed create BuildInferShapeFromTensorCompute node(IsValidHolder(output_shapes))Failed create BuildAddrFromTensorCompute lower run kernel func nodeFailed create SequenceLengthCompute lower run kernel func nodeLoweringSequenceLengthLoweringSequenceEmptyLoweringSequenceAtSequenceConstructComputesequence_construct.ccGetSequenceHandleShapeSequenceConstruct[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Op]Input num err, it is at least 1.Input num err, it is at least 1.Input num err, it is at least 1LoweringSequenceConstructSequenceEraseComputesequence_erase.ccSequenceEraseLoweringSequenceEraseSequenceInsertComputesequence_insert.ccSequenceInsert[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Op]Input num err, it is at least 2.Input num err, it is at least 2.LoweringSequenceInsertSplitToSequenceDoComputeGetSplitVecWithInputAllocSpecifiedMemFreeSpecifiedMemStoreSplitTensorToSequencesplit_to_sequence.ccaxiskeepdimsSplitToSequenceCalcTensorSizeFromSpecifiedShapelower_input.input_shapes.size() >= kInputNumlower_input.input_addrs.size() >= kInputNumLoweringSplitToSeuqneceCreateEventDstroyEventCalcBlockDimbg_aicpu_arg.ccBuildHostCCArgsGetExtInfoAddrFromArgsBuildCCArgsBuildTfArgs[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelDef]Op[%s]arg_size %zu is smaller then size %u in kernel_def[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelDef]Op[%s]ext_size %zu is smaller then size %u in kernel_def[%s:%d]%lu %s:Op[%s] is unknown output shape, start to lowering infershape.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelDef]Op[%s]ext_info_size %zu is smaller then size %u in kernel_def[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelDef]Op[%s]task_size %zu is smaller then %u in kernel_defGetMemAllocShapeGetBaseCCArgsBuildTfAicpuArgImpl*ZN4gert2bg15BuildTfAicpuArgESt10shared_ptrIN2ge4NodeEERKNS0_10TfArgsInfoERKbEUlvE_*ZN4gert2bg19BuildHostCCAicpuArgESt10shared_ptrIN2ge4NodeEERKN4domi9KernelDefEmRS1_INS0_11ValueHolderEEEUlvE_*ZN4gert2bg15BuildCCAicpuArgESt10shared_ptrIN2ge4NodeEERKN4domi9KernelDefEmRS1_INS0_11ValueHolderEERKbEUlvE_tempBuildExtInfoHandlebg_ext_info.ccUpdateExtShape[%s:%d]%lu %s:Op[%s] is unknown shape, start to lowering update ext info.UpdateExtInfoLaunchAicpuCustKernelClearAicpuCustKernelUpdateAicpuIoAddrSmallShapeHostcpubg_launch.ccAllocHostCpuOutputMemoryHostKernelAicpuHostCompute[%s:%d]%lu %s:Op[%s] is small shape host node, alloc mem independent.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s output %zu ref from input %zu exceed input addrs num %zuAllocHostCpuOutputsMemory*ZN4gert2bg19AicpuCCLaunchKernelERKSt10shared_ptrINS0_11ValueHolderEES5_S5_RKN4domi9KernelDefERKS1_IN2ge6OpDescEES5_EUlvE_GetHostSummaryGetSummaryShapeSizesGetSummaryDataSizesGetOutputShapeFromHbmBuffer((args_handler) != nullptr)aicpu_args_handler.cc((host_ext_addr) != nullptr)((host_buffer_) != nullptr)((arg_data) != nullptr)((node_name) != nullptr)((av_holder) != nullptr)((so_name_data) != nullptr)((task_data) != nullptr)((session_id) != nullptr)((device_ext_addr) != nullptr)((rtMalloc(&ext_info_device_buffer_, ext_info_size_, (0x2U), static_cast(GE))) == 0)((memcpy_s(host_buffer_.get(), buffer_size_, arg_data.data(), arg_data.size())) == EOK)(aicpu_param_head->ioAddrNum == io_num_)(aicpu_param_head->length >= mini_len)((SetHostArgs(arg_data, ext_info_size, ext_info_addr)) == ge::SUCCESS)(host_input_size_ + align_size <= kMaxTotalHostLen)((memcpy_s(host_data_addr, remain_size, data, src_size)) == EOK)(args_.hostInputInfoNum == host_input_info_.size())((MallocMem()) == ge::SUCCESS)((SetHostArgs(arg_data, ext_info_size, PtrToValue(ext_info_device_buffer_))) == ge::SUCCESS)((SetOffsetArgs()) == ge::SUCCESS)((memcpy_s(host_buffer_.get() + kernel_name_offset_, kernel_name_size, kernel_name.data(), kernel_name_size)) == EOK)((memcpy_s(host_buffer_.get() + so_name_offset_, so_name_size, so_name.data(), so_name_size)) == EOK)((kernel_name_data) != nullptr)((memcpy_s(&fwk_op_kernel, sizeof(STR_FWK_OP_KERNEL), arg_data.data(), arg_size)) == EOK)((memcpy_s(host_buffer_.get(), sizeof(STR_FWK_OP_KERNEL), &fwk_op_kernel, sizeof(STR_FWK_OP_KERNEL))) == EOK)((memcpy_s(host_buffer_.get() + task_info_offset_, task_info_size, task_info.data(), task_info_size)) == EOK)BuildTfArgsBuildTfArgsBuildCCArgsBuildCCArgsFillLaunchArgsBuildHostCCArgsBuildHostCCArgsSetHostArgsCreateOutputsForAicpuArgsGetExtInfoAddrFromArgsAddHostInputMallocMem((chain) != nullptr)aicpu_ext_info_handle.cc((shape) != nullptr)(*type == unknown_type_)async_wait_ is nullptr.((workspace_size) != nullptr)((ext_handle) != nullptr)(input_index < input_num_)(output_index < output_num_)((ext_info_) != nullptr)((storage_shape) != nullptr)(deploy_type_flag_ != -1)((ext_info) != nullptr)(!ext_info.empty())[%s] Failed to copy ext info.(offset == ext_info_len_)((ext_data) != nullptr)((host_addr) != nullptr)((event_id) != nullptr)Input shape: Output shape: output original shapes : output storage shapes : (aicpu_ext_info.infoLen == sizeof(AsyncWaitInfo))[%s:%d]%lu %s:Node[%s] parse async wait info success infoLen=%u.(aicpu_ext_info.infoLen == sizeof(WorkSpaceInfo))[%s:%d]%lu %s:Node[%s] parse workspace info success infoLen=%u.(aicpu_ext_info.infoLen == sizeof(int32_t))[%s:%d]%lu %s:Node[%s] parse ext shape type success infoLen=%u.(aicpu_ext_info.infoLen == sizeof(AicpuSessionInfo))[%s:%d]%lu %s:Node[%s] parse session info success infoLen=%u.(aicpu_ext_info.infoLen == sizeof(uint64_t))[%s:%d]%lu %s:Node[%s] bit_map info success infoLen=%u.(aicpu_ext_info.infoLen == sizeof(uint32_t))[%s:%d]%lu %s:Node[%s] update_addr info success infoLen=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] async_wait_ is nullptr.[%s:%d]%lu %s:There is no bit_map in ext_info, no need update.[%s:%d]%lu %s:There is no session info in ext_info, no need update.[%s:%d]%lu %s:There is no workspace info in ext_info, no need update.[%s:%d]%lu %s:After UpdateWorkSpaceInfo, workspace info size is %lu.((rtMemcpyAsync(device_ext_info_, ext_info_len_, ext_info_, ext_info_len_, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)((ext_handle->CopyH2D(stream)) == ge::SUCCESS)((rtMemcpy(output_shape_.data(), host_len, output_shape_device_addr, output_shape_len_, RT_MEMCPY_DEVICE_TO_HOST)) == 0)((memcpy_s(output_shape_.data(), host_len, output_shape_host_addr, output_shape_len_)) == EOK)[%s:%d]%lu %s: ErrorNo: %u(%s) %sCopyOutputShapeForThirdOp fail, output_shape_len_:%zu.((ext_handle->CopyOutputShapeForThirdOp()) == ge::SUCCESS)((ext_handle->GetOutputShapeAndType(i, shape->MutableStorageShape(), type)) == ge::SUCCESS)((ext_handle->GetOutputShapeAndType(i, shape->MutableOriginShape(), type)) == ge::SUCCESS)[%s:%d]%lu %s:Node[%s] of rt2 parse ext topic type info success infoLen=%u, topic_type=%d, rts_flag=%d, qos_flag=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sData dump GetWorkspaceInfo failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sExcpetion dump GetWorkspaceInfo failed.(aicpu_ext_info.infoLen == (input_num_ * sizeof(AicpuShapeAndType)))[%s:%d]%lu %s:Node[%s] parse ext input shape success infoLen=%u.(aicpu_ext_info.infoLen == (output_num_ * sizeof(AicpuShapeAndType)))[%s:%d]%lu %s:Node[%s] parse ext output shape success infoLen=%u.[%s:%d]%lu %s:Node[%s] parse ext info start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ext_info_][%s] Failed to copy ext info((tmp_ext_info_data) != nullptr)[%s:%d]%lu %s:Ext infoType=%d, infoLen=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtShapeType] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtInputShape] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtOutputShape] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtSessionInfo] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtBitMap] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtUpdateAddr] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtTopicType] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtAsyncWait] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtWorkSpaceInfo] failed.[%s:%d]%lu %s:Node[%s] ignore infoType=%d, infoLen=%u.[%s:%d]%lu %s:Node[%s] parse ext info end.((ext_handle->Parse(ext_str, host_addr, device_addr)) == ge::SUCCESS)((ext_handle->UpdateSessionInfoId(*session_id)) == ge::SUCCESS)((ext_handle->UpdateEventId(*event_id)) == ge::SUCCESS)xp08GetExtOutputShapesExceptionDumpFillWorkSpaceDataDumpFillWorkSpaceGetWorkspaceInfoUpdateExtWorkSpaceInfoCreateOutputsForExtOutputShapesUpdateExtShapeCreateOutputsForExtHandleBuildExtInfoHandleGetOutputShapeAndTypeCopyOutputShapeForThirdOpCopyH2DUpdateOutputShapeUpdateInputShapeUpdateWorkSpaceInfoUpdateSessionInfoIdUpdateSessionInfoUpdateExecuteModeUpdateEventIdParseExtTopicTypeParseExtUpdateAddrParseExtBitMapParseExtSessionInfoParseExtOutputShapeParseExtInputShapeParseExtShapeTypeParseExtWorkSpaceInfoParseExtAsyncWaitParse @((args_handle) != nullptr)aicpu_fuse_host_inputs.cc((input_indexes) != nullptr)(host_tensor_size >= 0)((gert_allocator) != nullptr)((mem_block) != nullptr)AicpuFuseHost((out_tensor_data) != nullptr)((args_handle->AddHostInput(*(input_indexes + i), tensor_data->GetAddr(), host_tensor_size, align_size)) == ge::SUCCESS)[%s:%d]%lu %s:Total host memory input size lengther then range is %zu, no need optimize[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu((rtMemcpyAsync(mem_block->GetAddr(), dst_len, src_tensor.GetAddr(), src_len, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)((CopyTensorToDevice(context, *tensor_data, static_cast(host_tensor_size), tensor_size, *out_tensor_data)) == ge::SUCCESS)CopyTensorToDeviceAicpuFuseHostCreateOutputForAicpuFuseHostaicpu_launch_kernel.cc((context) != nullptr)((io_addrs) != nullptr)((rt_event) != nullptr)((args) != nullptr)((run_cpu_kernel) != nullptr)((input_shape) != nullptr)(shard_num != 0)((block_num) != nullptr)((handle_data) != nullptr) Launch aicpu args offset: handle soNameAddrOffset: kernelNameAddrOffset: hostInputInfoNum: kernelOffsetInfoNum: host[] addr offset is data offset is kernel[ No inputs/outputsstream_id=, task_id=, flip_num=, flip_task_id=op_name , block_dim , stream , args_ex flag , io_num , host input size ((rtAicpuKernelLaunchExWithArgs(rtKernelType_t::KERNEL_TYPE_FWK, op_name.c_str(), 1U, &arg_ex, nullptr, stream, (0x00U))) == 0)((DistributeWaitTaskForAicpuBlockingOp(stream, rt_event, op_name.c_str())) == 0)((rtAicpuKernelLaunchExWithArgs(rt_kernel_type, op_name.c_str(), block_dim, &arg_ex, nullptr, stream, flag)) == 0)((run_cpu_kernel(args)) == ge::SUCCESS)Param:compute_node_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:compute_node_info]null is invalid((AicpuResourceManager::GetInstance().PushTensor(op_name, stream, tensor_data, handle_data)) == ge::SUCCESS)((AicpuResourceManager::GetInstance().PopTensor(op_name, stream, handle_data)) == ge::SUCCESS)((rtEventCreateWithFlag(rt_event, (0x01U))) == 0)((rtGetEventID(*rt_event, event_id)) == 0)((rtEventDestroy(rt_event)) == 0)[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s] must not be null. Launch aicpu inputs/outputs addresses: , Launch aicpu inputs/outputs sizes: Launch cc function arguments: Launch tf function arguments: PrintIoAddressesPrintArgsOffsetCreateOutputsForAllocHostCpuOutputAllocHostCpuOutputMemoryDstroyEventCreateEventTensorListOpCalcBlockDimAicpuHostComputeClearAicpuCustKernelLaunchAicpuCustKernelAicpuLaunchCCKernelAicpuLaunchTfKernelUpdateAicpuIoAddraicpu_resource_manager.cc(!real_path.empty())((step_id) != nullptr)((*step_id) != nullptr)((iteration) != nullptr)(!lib_path.empty())InitializeRunHostCpuKernelASCEND_OPP_PATHParam:chain is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:chain]null is invalid((rtMalloc(&step_id, sizeof(int64_t), (0x2U), static_cast(GE))) == 0)((rtMemcpy(*step_id, sizeof(int64_t), iteration, sizeof(int64_t), RT_MEMCPY_HOST_TO_DEVICE)) == 0)[%s:%d]%lu %s:Start to get host cpu lib path.(mmGetEnv(kEnvOppPath.c_str(), &path_env[0], static_cast(4096)) == 0)GetLibPath failed, lib_path = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetLibPath] failed. path = %s[%s:%d]%lu %s:Get host cpu so path from env: %s[%s:%d]%lu %s:Constant folding lib has been loaded.((GetLibPath(lib_path)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:To invoke dlopen on lib: %smmDlopen failed, path = %s, error = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][DlOpen] failed. path = %s, error = %s[%s:%d]%lu %s:Invoke function Initialize in lib: %s[%s:%d]%lu %s:Failed to invoke function Initialize in lib: %s((run_cpu_kernel_) != nullptr)[%s:%d]%lu %s:Lib: %s has been opened((rtStreamSynchronize(stream)) == 0)((rtMemcpy(&handle, sizeof(uint64_t), handle_data->GetAddr(), sizeof(uint64_t), RT_MEMCPY_DEVICE_TO_HOST)) == 0)((CheckOrCreateHandle(op_name, stream, handle_data)) == ge::SUCCESS)Param:step_id is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:step_id]null is invalidParam:iteration is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:iteration]null is invalid((rtMemcpyAsync(step_id, sizeof(int64_t), iteration, sizeof(int64_t), RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)/op_impl/built-in/host_cpu/libconstant_folding_ops.so/built-in/op_impl/host_cpu/libconstant_folding_ops.soIncreaseStepIdCreateOutputForStepIdCreateStepIdEnsureCreateTfSessionPopTensorPushTensorCheckOrCreateHandleGetRealPathGetLibPathLoadConstantFoldingLibFjPvEPFjPvEblock_op_utils.cc((rtGetDeviceCapability(device_id, FEATURE_TYPE_BLOCKING_OPERATOR, RT_MODULE_TYPE_AICPU, &value)) == 0)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Value] Value should be %d or %d but %d((rtSetTaskTag(op_name)) == 0)((rtStreamWaitEvent(stream, rt_event)) == 0)((rtEventReset(rt_event, stream)) == 0)DistributeWaitTaskForAicpuBlockingOpCheckDeviceSupportBlockingAicpuOpProcessaicpu_ffts_args.cc((sub_task_flush) != nullptr)((so_name_dev) != nullptr)((thread_param) != nullptr)((extend_context) != nullptr)last_input_shapes->GetSize()last_output_shapes->GetSize()((args_addr) != nullptr)FFTS Plus launch AICpu Args: ((kernel_name_dev) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sContext Id(%d) over flow.rtMemcpyAsync(so_name_dev->GetAddr(), so_name_size, so_name.data(), so_name_size, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)rtMemcpyAsync(kernel_name_dev->GetAddr(), kernel_name_size, kernel_name.data(), kernel_name_size, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)((args_addr->dev_addr) != nullptr)((args_addr->host_addr) != nullptr)[%s:%d]%lu %s:thread_dim: %zu, ctx_idx: %zu, thread index: %zu, ctx_io_pos: %zu[%s:%d]%lu %s:thread_dim: %zu, ctx_idx: %zu, thread index: %zu, thread addr offset: 0x%lx, ctx_io_pos: %zuinput_output_num[%zu] can not be large than MAX_OFFSET_NUM[%zu](thread_para->input_output_num <= MAX_OFFSET_NUM)[%s:%d]%lu %s:input idx:[%zu], size:[%zu].[%s:%d]%lu %s:Begin FillDataDumpCtxInfo.[%s:%d]%lu %s:End FillDataDumpCtxInfo.[%s:%d]%lu %s:Begin GetAddrSize.[%s:%d]%lu %s: ErrorNo: %u(%s) %stail_size[%ld] calculate err with [%lu].[%s:%d]%lu %s:End GetAddrSize.[%s:%d]%lu %s:Begin GetFftsMemBlockInfo.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAddFftsCtxAddr failed, thread_id:%u, input_addr:%lu, input_size:%lu.[%s:%d]%lu %s:End GetFftsMemBlockInfo.[%s:%d]%lu %s:Begin GetNormalInfo.[%s:%d]%lu %s:End GetNormalInfo.[%s:%d]%lu %s:Begin FillAICpuDataDumpInfo.[%s:%d]%lu %s:End FillAICpuDataDumpInfo.((not_last_input_shapes) != nullptr)((last_input_shapes) != nullptr)((not_last_output_shapes) != nullptr)((last_output_shapes) != nullptr)not_last_input_shapes->GetSize()not_last_output_shapes->GetSize()[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid thread dims, input[num:%zu, dims:%zu], output[num:%zu, dims:%zu][%s:%d]%lu %s:begin FFTSUpdateAICpuCCArgs.[%s:%d]%lu %s: ErrorNo: %u(%s) %saicpu calculate flush data failed![%s:%d]%lu %s:[%s] task args size %zu, ext info len %zu, arg data len %zu, thread dim %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Copy AiCpu ext info failed, data size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Copy AiCpu arg data failed, data size %zu[%s:%d]%lu %s:[%s] Param length %d, ext info addr 0x%lx, ext info len %u((UpdateAicpuIoAddrs(context, flush_data, thread_param, offset)) == ge::GRAPH_SUCCESS)(thread_param->input_output_num <= MAX_OFFSET_NUM)[%s:%d]%lu %s:[%s] sessionID[%lu], kernelID[%lu], extInfoLen[%lu], fwkKernelType[%u]Aicpu launch args pointer is null.FFTSInitAicpuCtxUserDataFillAICpuDataDumpInfoGetNormalInfoGetFftsMemBlockInfoGetAddrSizeFillDataDumpCtxInfoAiCpuCreateFlushDataFFTSUpdateAICpuTfArgsFFTSUpdateAICpuCCArgsUpdateAicpuIoAddrsInitAicpuFftsIoAddrsInitAicpuFftsIoAddrsAicpuUpdateExtInfoCalFlushDataBasicParamaicpu_update_kernel.cc((slice_in) != nullptr)input_numslice_in->GetSize()(index < MAX_OFFSET_NUM)((tail_slice_out) != nullptr)not_tail_slice_out->GetSize()tail_slice_out_size((output_indexes) != nullptr)((slice_out) != nullptr)[%s:%d]%lu %s:AICpuUpdateContext begin.[%s:%d]%lu %s:ctx_num is %d, ctx[%d] is %d[%s:%d]%lu %s:AICpuUpdateContext Success.[%s:%d]%lu %s:Cut input index num:%zu, input num:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel]Offset[%ld] calculate err with range:%lu.[%s:%d]%lu %s:Input anchorIndex: %u, thread_offset: %ld.index[%zu] must less than MAX_OFFSET_NUM[%zu]((not_tail_slice_out) != nullptr)((max_thread_size) != nullptr)output_id[%zu] must be less than tail_slice_out_size[%zu](tail_slice_out_size > output_id)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel]tail_size[%ld] calculate err with range:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Kernel]not_tail_size[%ld] calculate err with range:%lu.[%s:%d]%lu %s:Output anchor index: %d, max_thread_size: %lu[%s:%d]%lu %s:Cut output index num:%zu, out num:%zu[%s:%d]%lu %s:Output anchor index: %d, thread_offset: %lu.offset_index[%zu] must be less than MAX_OFFSET_NUM[%zu](offset_index < MAX_OFFSET_NUM)[%s:%d]%lu %s:AICpuGetAutoThreadParam begin.((auto_thread_param) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalculate thread input offset failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalculate thread output offset failed.[%s:%d]%lu %s:[Kernel] AICpuGetAutoThreadParam Success.AICpuUpdateContextAicpuCreateThreadParamAICpuGetAutoThreadParamCalcOutputParaCalcInputParaAicpuCalcOutputMaxThreadSize((summary) != nullptr)memcpy_task.cc((shape_size) != nullptr)((data_size) != nullptr)((av_summary) != nullptr)((device_summary) != nullptr)((output_shape) != nullptr)((shape_buffer) != nullptr)((release_flag) != nullptr)((src_addr) != nullptr)((dst_addr) != nullptr)((device_summary->GetAddr()) != nullptr)((rtMemcpy(summary, sizeof(aicpu::FWKAdapter::ResultSummary), device_summary->GetAddr(), sizeof(aicpu::FWKAdapter::ResultSummary), RT_MEMCPY_DEVICE_TO_HOST)) == 0)((summary->shape_data_size % sizeof(int64_t)) == 0U)[%s:%d]%lu %s:Get output[%zu]th dim_num = %zu.((shape_buffer->GetAddr()) != nullptr)((rtMemcpy(&host_shape_buffer[0], summary->shape_data_size, shape_buffer->GetAddr(), summary->shape_data_size, RT_MEMCPY_DEVICE_TO_HOST)) == 0)[%s:%d]%lu %s:Get output[%zu]th dim[%zu] = %ld.Param:output is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output]null is invalidParam:shape_buffer is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shape_buffer]null is invalid[%s:%d]%lu %s:PrepareCopyInputs out[%zu], shape data=0x%lx, shape data size=%lu, raw data=0x%lx, raw data size=%lu.((release_flag->GetAddr()) != nullptr)((data_size->GetAddr()) != nullptr)((src_addr->GetAddr()) != nullptr)((dst_addr->GetAddr()) != nullptr)((rtMemcpyAsync(release_flag->GetAddr(), copy_input_buf_len, ©_input_release_flag[0U], copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)((rtMemcpyAsync(data_size->GetAddr(), copy_input_buf_len, ©_input_data_size[0U], copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)((rtMemcpyAsync(src_addr->GetAddr(), copy_input_buf_len, ©_input_src[0U], copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)((rtMemcpyAsync(dst_addr->GetAddr(), copy_input_buf_len, ©_input_dst[0U], copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)GetSummaryShapeSizesGetSummaryDataSizesCreateOutputsForHostSummaryGetHostSummaryCreateOutputsForHbmBufferGetOutputShapeFromHbmBufferPrepareCopyInputsaicpu_sequence_kernel.cc((addrs) != nullptr)((input_tensor) != nullptr)((output0) != nullptr)((gtd) != nullptr)((shapes) != nullptr)((addrs_av) != nullptr)((shape_sizes) != nullptr)((tensor_data_av) != nullptr)((input_addr) != nullptr)((input_x_desc) != nullptr)((split_shapes) != nullptr)copy tensor err.((split_desc) != nullptr)Build split vec err((output_storage_shape) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s][MEM]Free memory, index %zu, address %p[%s:%d]%lu %s:Enter BuildInferShapeFromTensorDoCompute[%s:%d]%lu %s:Enter BuildSingleInferShapeOutputs[%s:%d]%lu %s:Enter AllocSingleOutputTensorData[%s:%d]%lu %s:Enter BuildAddrFromTensorDoCompute((shape_sizes_addrs) != nullptr)((CalcAlignedSizeByShape(shape_data[i], datatype, shape_addrs_data[i])) == ge::GRAPH_SUCCESS)((tensor_data_vec) != nullptr)((tensor_data_info[i]) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu, index %zu, tensor data address %p((rtMemcpy(cpy_arg.dst, N * cpy_arg.type_size, cpy_arg.src, N * cpy_arg.type_size, RT_MEMCPY_DEVICE_TO_DEVICE)) == 0)[%s:%d]%lu %s:M:%ld, N:%ld, lda:%d, ldb:%ld, type_size:%d((rtMemcpy(static_cast(cpy_arg.dst) + ldb * i * cpy_arg.type_size, N * cpy_arg.type_size, static_cast(cpy_arg.src) + lda * i * cpy_arg.type_size, N * cpy_arg.type_size, RT_MEMCPY_DEVICE_TO_DEVICE)) == 0)((input_storage_shape) != nullptr)(kSupportedDataType.count(input_data_type) != 0)((inner_tensor_addrs->MutableData()[i]) != nullptr)((CopyTensor(before_dims, split_size * after_dims_exclude_axis, after_dims_include_axis, split_size * after_dims_exclude_axis, cpy_arg)) == ge::GRAPH_SUCCESS)SplitToSequence kernel data type [%d] not support.axis %d, is out of range:[-%d,%d].((axis >= -input_tensor_rank) && (axis <= (input_tensor_rank - 1)))only support int32_t or int64_t for split, %u((split_data_type == DT_INT32) || (split_data_type == DT_INT64))((BuildSplitVecWithInput(split_storage_shape, split_addr, split_sizes, input_x_axis_dim)) == ge::GRAPH_SUCCESS)((BuildSplitVecWithInput(split_storage_shape, split_addr, split_sizes, input_x_axis_dim)) == ge::GRAPH_SUCCESS)split must be scalar or 1D, but given %u((rtMemcpy(&split_scalar, sizeof(T), split_addr->GetAddr(), sizeof(T), RT_MEMCPY_DEVICE_TO_HOST)) == 0)split scalar must be greater than 0,%d((rtMemcpy(temp_array.get(), sizeof(T) * split_num, split_addr->GetAddr(), sizeof(T) * split_num, RT_MEMCPY_DEVICE_TO_HOST)) == 0)split must be greater than 0,but get:%ld((split_rank < kDimNum))((split_scalar > 0))((temp_array[i] > 0))split_suminput_x_axis_dimGetSequenceHandleShapeKernelAllocSingleOutputTensorDataBuildAddrFromTensorDoComputeBuildSingleInferShapeOutputsBuildInferShapeFromTensorDoComputeSplitToSequenceComputeKernelCopyTensorBuildSplitVecWithInputBuildSplitVecWithInputGetSplitVecCalcTensorSizeFromSpecifiedShapeFreeSpecifiedMemAllocSpecifiedMem   POOOO((proc_op_desc) != nullptr)((in_data_anchor) != nullptr)MakeSureTensorAtDevice(anchor_index >= 1)((first_src_op) != nullptr)Const__IndexConst((const_op_desc) != nullptr)is_string_FuseHostInputs((fused_op_desc) != nullptr)aicpu_host_inputs_fuse_pass.cc((fuse_desc->AddOutputDesc(proc_op_desc->GetOutputDesc(out_anchor->GetIdx()))) == ge::SUCCESS)((peer_out_anchor) != nullptr)((ge::GraphUtils::RemoveEdge(peer_out_anchor, in_data_anchor)) == ge::SUCCESS)(input_anchor_index < static_cast(fuse_node->GetAllInDataAnchorsSize()))((ge::GraphUtils::AddEdge(peer_out_anchor, fuse_node->GetInDataAnchor(input_anchor_index++))) == ge::SUCCESS)((ge::GraphUtils::RemoveEdge(out_data_anchor, peer_in_anchor)) == ge::SUCCESS)(output_anchor_index < static_cast(fuse_node->GetAllOutDataAnchorsSize()))((ge::GraphUtils::AddEdge(fuse_node->GetOutDataAnchor(output_anchor_index), peer_in_anchor)) == ge::SUCCESS)((ge::GraphUtils::MoveInCtrlEdges(proc_node, fuse_node)) == ge::SUCCESS)((ge::GraphUtils::MoveOutCtrlEdges(proc_node, fuse_node)) == ge::SUCCESS)((ge::GraphUtils::RemoveNodeWithoutRelink(graph, proc_node)) == ge::SUCCESS)(host_inputs_addr_index_.size() == fuse_node->GetAllOutDataAnchorsSize())[%s:%d]%lu %s:Find update addr node name[%s] host input.[%s:%d]%lu %s:Node[%s] has mulit dst nodes, such as %s[%s:%d]%lu %s:Find input index[%d] src node[%s].((fuse_desc->AddInputDesc(dst_desc->GetInputDesc(0))) == ge::SUCCESS)((fuse_desc->AddInputDesc(ge::GeTensorDesc())) == ge::SUCCESS)((fuse_desc->AddInputDesc(first_src_op->GetInputDesc(i))) == ge::SUCCESS)((fuse_desc->AddInputDesc(proc_op_desc->GetInputDesc(i))) == ge::SUCCESS)((const_op_desc->AddOutputDesc(ge::GeTensorDesc())) == ge::SUCCESS)((node->GetOpDescBarePtr()->SetAttr("is_string", ge::AnyValue::CreateFrom(is_string))) == ge::SUCCESS)(ge::AttrUtils::SetZeroCopyBytes(node->GetOpDesc(), kConstValue, ge::Buffer::CopyFrom(ge::PtrToPtr(data), size)))Param:input_index_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_index_node]null is invalidParam:index_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index_out_anchor]null is invalidParam:index_in_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index_in_anchor]null is invalid((ge::GraphUtils::AddEdge(index_out_anchor, index_in_anchor)) == ge::SUCCESS)((AddFuseOpInputDesc(fused_op_desc, node->GetOpDesc())) == ge::SUCCESS)((AddFuseOpOutputDesc(fused_op_desc)) == ge::SUCCESS)Param:args_handler_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args_handler_anchor]null is invalidParam:args_handler_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args_handler_out_anchor]null is invalidParam:fuse_handler_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:fuse_handler_anchor]null is invalid((ge::GraphUtils::AddEdge(args_handler_out_anchor, fuse_handler_anchor)) == ge::SUCCESS)((AddAicpuArgsHandlerInput(fuse_node, node)) == ge::SUCCESS)((AddFuseIndexesInput(fuse_node)) == ge::SUCCESS)[%s:%d]%lu %s:Node %s no need fuse host inputs node.[%s:%d]%lu %s:Start to create Node[%s] fuse host inputs node. Param:fuse_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:fuse_node]null is invalid((ReplaceFuseHostInputsNode(fuse_node)) == ge::SUCCESS)[%s:%d]%lu %s:[AicpuHostInputsFusePass]: is not single op scene!((SetHostInputsNodesAndIndex(node)) == ge::SUCCESS)((FuseHostInputsProcNodes(node, changed)) == ge::SUCCESS)RunIsSingleMakeTensorDeviceSetHostInputsNodesAndIndexFuseHostInputsProcNodesReplaceFuseHostInputsNodeAddAicpuArgsHandlerInputCreateFuseHostInputsNodeCreateConstNodeAddFuseIndexesInputAddFuseOpInputDescAddFuseOpOutputDescN4gert2bg4PassEN4gert2bg23AicpuHostInputsFusePassESt15_Sp_counted_ptrIPN2ge6OpDescELN9__gnu_cxx12_Lock_policyE2EE((vec) != nullptr)dsacore_node_converter.ccOp desc is nullWorkspace size is wrong.Input size is wrong.Output size is wrong.Addr size is wrong.UpdateSqeArgAlloc dsa sqe buff fail[%s:%d]%lu %s:LoweringDsaNodeFillTaskInfo dump. seed_type:%u, random_count_type:%u, seed_type_string:%s,random_count_type_string:%s, input1_type:%u, input1_value_string:%s, input2_value_string:%s[%s:%d]%lu %s:LoweringDsaCoreNodeCommon Enter, node:[%s, %s][%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s workspace addr size %zu is wrong, expected %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s input addr size %zu is wrong, expected between %zu and %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s output addr size %zu is wrong, expected %zu[%s:%d]%lu %s:LoweringDsaCoreNode Enter, node:%s, %sLoweringDsaCoreNodeCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidLoweringDsaCoreNodeCommonLoweringDsaNodeFillTaskInfoCreateVectorHolder*ZN4gert25LoweringDsaCoreNodeCommonERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEPKN4domi7TaskDefEEUlvE_((seed_type) != nullptr)dsa_core_launch_kernel.cc((count_type) != nullptr)((output_num) != nullptr)((sqe_data) != nullptr)((input_num) != nullptr)((input1_type) != nullptr)(workspace->GetSize() > 0U)((seed_type_string) != nullptr)((count_type_string) != nullptr)[%s:%d]%lu %s:DsaCoreUpdateSqeArg dump seed_type:%u, count_type:%u, seed_type_string:%s, count_type_string:%s, input_num:%zu, output_num:%zu, dev_output_addr:0x%lx, seed_value_or_addr:0x%lx,random_count_value_or_addr:0x%lx[%s:%d]%lu %s:DsaCoreUpdateSqeArg Enter.((workspace_sizes) != nullptr)((input1_value_string) != nullptr)((input2_value_string) != nullptr)[%s:%d]%lu %s:DsaCoreUpdateSqeSeedCountResult fail.(input_tensor_datas.size() > 0U)[%s:%d]%lu %s:DsaCoreUpdateSqeArg dump workspace_philox_count_addr:0x%lx, workspace_input_addr:0x%lx, input1_type:%u(workspace_sizes->GetSize() > 0U)(input_tensor_datas.size() > 2U)(input_tensor_datas.size() > 3U)((sizeof(uint64_t) * input_addr.size()) <= static_cast(ws_sizes_data[workspace->GetSize() - 1U]))((rtMemcpy(const_cast(addrs_data[workspace->GetSize() - 1U]->GetAddr()), static_cast(ws_sizes_data[workspace->GetSize() - 1U]), input_addr.data(), sizeof(uint64_t) * input_addr.size(), RT_MEMCPY_HOST_TO_DEVICE)) == 0)((memcpy_s(&input_data[0], sizeof(uint64_t), input1_value_string, strlen(input1_value_string))) == EOK)((memcpy_s(&input_data[1], sizeof(uint64_t), input2_value_string, strlen(input2_value_string))) == EOK)(static_cast(ws_sizes_data[workspace->GetSize() - 1U]) >= sizeof(input_data))((rtMemcpy(const_cast(addrs_data[workspace->GetSize() - 1U]->GetAddr()), static_cast(ws_sizes_data[workspace->GetSize() - 1U]), input_data, sizeof(input_data), RT_MEMCPY_HOST_TO_DEVICE)) == 0)DsaCoreUpdateSqeArgDsaCoreUpdateSqeSeedCountResult((address) != nullptr)stars_launch_kernel.cc((stream) != nullptr)address , len ((ge::rtStarsTaskLaunch(address, len, stream)) == 0)Stars launch function arguments: StarsTaskLaunchKernelCalcDvppWorkSpaceSizeGenerateSqeAndLaunchTaskdvpp_node_converter.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sCannot find compile result for node %s type %s[%s:%d]%lu %s:LoweringDvppNode node %s type %sLoweringDvppNodeffts_plus_common.cc((data) != nullptr)((free_ptr) != nullptr)((alloc_ptr) != nullptr)FFTSTaskAndArgsCopyNodeMemParaAssign[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet null calculater of node[%s] by attr.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find the calculater for node %s type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate memory guard vector failed.((all_mem_para.mem_guarder) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get original type from %s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find the converter for node %s type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode args para is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sTask launch return num[%zu] is err.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGraph result IS NULL.((bg::ValueHolder::AddDependency(order_holder, task_ret[static_cast(TaskProcKey::H2D_COPY)])).IsSuccess())[%s:%d]%lu %s:Free node:%s after launch.((bg::ValueHolder::AddDependency(task_ret[static_cast(TaskProcKey::TASK_LAUNCH)], free_ptr)).IsSuccess())[%s:%d]%lu %s:Alloc node:%s after launch.[%s:%d]%lu %s:Peer node[%s] has no kFtfsMemoryPoolType attr, as frist memory pool.[%s:%d]%lu %s:Node[%s]'s input index[%zu] memory type[%u].[%s:%d]%lu %s:Free node name:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] not find lowering result.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] not get result.[%s:%d]%lu %s: ErrorNo: %u(%s) %sLowing launch ffts task failed with copy flag[%d].[%s:%d]%lu %s:Node[%s] no need calculate size.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] not find args para.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] create para const failed.[%s:%d]%lu %s:Node[%s] create node mem param success.[%s:%d]%lu %s:%s has lowering result, skip lowering.Failed to add lowering result to node %sPhonyConcatStreamActivePhonyReduceIdentity[%s:%d]%lu %s:Node[%s/%s] need calc mem size flag:%d.static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr > > >]static ge::TypeID ge::TypeID::Of() [with T = std::vector >]LowingNodePostProcLoweringFFTSNodeGetFFTSNodeConvertDatastatic ge::TypeID ge::TypeID::Of() [with T = std::vector]ConstructMemoryTypesRedirectLaunchArgsLoweringGraphPostProcCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidFFTSTaskAndArgsLaunchIsNoNeedCalcSizeCreateNodeMemParamCreateMemoryGuardstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]GetNodeCalculaterN2ge6AnyMap6HolderIN4gert20PlacedLoweringResultEEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderIN4gert20PlacedLoweringResultEEESaIS5_ELN9__gnu_cxx12_Lock_policyE2EEffts_plus_proto_transfer.ccUnsupported cond type %uSet qos to data_ctx failed.Set qos to sdma_ctx failed._AllShape_mix_aivUnsupported ctx type %uParam:ctx is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ctx]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusPersistentCacheCtxDef should not > %d, it is %d actuallyCHECK failed: (total_size_) > (0): [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusNotifyCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of notify_id in FftsPlusNotifyCtxDef should not > %d, but %d exactlySize of successor_list in FftsPlusWriteValueCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of list in FftsPlusWriteValueCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress]logic write addr base is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of write_value in FftsPlusWriteValueCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][CtxType] Unsupported cond type %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of true_successor_list in FftsPlusCondSwitchCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of false_successor_list in FftsPlusCondSwitchCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] logic load addr0 base is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress]logic load addr1 base is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusAtStartCtxDef should not > %d, but %d exactlySize of succ_at_start_slot in FftsPlusAtEndCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of succ in FftsPlusAtStartCtxDef should not > %d, but %d exactlySize of succ_out_label_slot in FftsPlusAtEndCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of succ_out_label_slot in FftsPlusAtStartCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusLabelCtxDef should not > %d, but %d exactly[%s:%d]%lu %s:Trans total context num:%u[%s:%d]%lu %s:Begin to init aicpu op ext info, thread dim is %u.[%s:%d]%lu %s:Init aicpu op context info success[%s:%d]%lu %s: ErrorNo: %u(%s) %sNot support custom aicpu op.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s:%d]%lu %s:Init aicpu ctx user data success, node is [%s], type is [%s].Size of successor_list in FftsPlusCaseDefaultCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of list in FftsPlusCaseDefaultCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] logic load addr1 base is 0x%lx.case_switch_ctx %s and case_default_ctx %s when software ctx type is case[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Ctx] case_switch_ctx %s and case_default_ctx %s when software ctx type is case[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit CaseSwitchCtx failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit CaseDefaultCtx failed[%s:%d]%lu %s:[GetStmType][DataCtx] Qos label tuning is %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusDataCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitDataCtx][SetQos2Ctx] Set qos to data_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic addr base is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusAicpuCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit user data for aicpu ctx failed[%s:%d]%lu %s:[GetStmType][Node[%s]] parallel_group_id is:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusSdmaCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitSdmaCtx][GetStreamType] Failed to get stream type for node.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitSdmaCtx][SetQos2Ctx] Set qos to sdma_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic src addr is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic dst addr is 0x%lx.[%s:%d]%lu %s:index %d, task addr is 0x%lx[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of kernel_name in FftsPlusAicAivCtxDef should be %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet addr and pref cnt failed, kernel_name=%s[%s:%d]%lu %s:index %u, task addr is 0x%lx[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of kernel_name in FftsPlusMixAicAivCtxDef should be %zu, but %d exactly[%s:%d]%lu %s:Set op[%s] profiling context type %u.[%s:%d]%lu %s:save ctx args, op idx:%u, ctx type:%u, ctx id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of successor_list in FftsPlusAicAivCtxDef should not > %d, but %d exactly[%s:%d]%lu %s:Set schedule mode[%u] to context of rts.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitAicAivCtx][GetStreamType] Failed to get stream type for node.Set qos to aic_aiv_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitAicAivCtx][SetQos2Ctx] Set qos to aic_aiv_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of src_slot in FftsPlusAicAivCtxDef should not > %d, but %d exactly[%s:%d]%lu %s:FftsPlusAicAivCtxDef: task param addr is %lu.[%s:%d]%lu %s:Context thread dim is zero, Dynamic shape mode.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of kernel_name in FftsPlusMixAicAivCtxDef should be %d, but %d exactlySize of successor_list in FftsPlusMixAicAivCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of list in FftsPlusMixAicAivCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitMixAicAivCtx][GetStreamType] Failed to get stream type for node.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitMixAicAivCtx][SetQos2Ctx] Set qos to mix_aic_aiv_ctx failed.[%s:%d]%lu %s:FftsPlusMixAicAivCtxDef: task param addr is %lu.[%s:%d]%lu %s:Set need mode addr to mix_aic/mix_aiv args.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of src_slot in FftsPlusMixAicAivCtxDef should not > %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit MixAicAivCtx in manual mode failed, node:[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit MixAicAivCtx in auto mode failed[%s:%d]%lu %s:init additional data start, size:%d[%s:%d]%lu %s:additional data type:%u, context id:%uParam:com_ctx is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:com_ctx]null is invalid[%s:%d]%lu %s:Init ctx %d in FftsPlusTask, context_type=%u, op_index=%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit fftsplusCtx failed, ctx_index:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][CtxType] Unsupported ctx type %u((find_node_handle_) != nullptr)[%s:%d]%lu %s:Alloc task info buf len:%zu, total size:%zu.[%s:%d]%lu %s:Init node[%s] ctx begin, context num=%d[%s:%d]%lu %s:Set qos[%d] and mpamId[%d] to ctx[%u] for op[%s].(!ge::AddOverflow(addr_count, start_idx, addr_count_start))[%s:%d]%lu %s: ErrorNo: %u(%s) %stask_addr start_idx[%i], size[%i], task_addr_offset size[%i], but need read count[%i][%s:%d]%lu %s:task base addr is %lu, offset is %lu, thread id is %u, logic addr is 0x%lxGetStreamTypeForDataCtxGetStreamTypeForNodeInitAdditionalDataInitLabelCtxInitAtEndCtxInitAtStartCtxInitCaseCtxInitCaseDefaultCtxInitCaseSwitchCtxInitCondSwitchCtxInitAicpuExtInfoInitAicpuInfoInitAicpuCtxUserDataInitAicpuCtxSetQos2CtxInitDataCtxSetQos2CtxInitSdmaCtxInitThrdIoAddrsInitAutoMixAicAivCtxInitManualMixAicAivCtxSetQos2CtxInitMixAicAivCtxInitWriteValueCtxInitNotifyCtxInitThrdIoAddrsInitAutoAicAivCtxInitManualAicAivCtxSetQos2CtxInitAicAivCtxInitPersistentCacheCtxInitFftsPlusCtxFusionOpPreProcInitFftsPlusSqeTransfer~FftsPlusProtoTransfer N4gert21FftsPlusProtoTransferEFjRKN4domi14FftsPlusCtxDefEP17tagFftsPlusComCtxEMN4gert21FftsPlusProtoTransferEKFjRKN4domi14FftsPlusCtxDefEP17tagFftsPlusComCtxETask info pre proc failed._lower_ffts_plus_graph_inputOp desc is nullptr.Task and args launch failed.Not FFTSPlus graph.((sub_graph) != nullptr)_lower_ffts_plus_graph_output((lower_ret) != nullptr)ffts_static_graph_converter.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sWindow size(%u) or thread dim(%u) is invalid.((inputs.ffts_mem_allocator) != nullptr)Graph[%s] pre alloc memory failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get lowering func for node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to construct inputs for node %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to lowering node %s, reason %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s post proc failed.Lowering graph post proc failed.((node->GetOpDesc()) != nullptr)Root graph %s has no subgraph named %s[%s:%d]%lu %s:Start lowering FFTSPlus static graph %s.Graph %s has no net-output nodeLowering static graph[%s] failed.LoweringFFTSPlusStaticGraphLoweringFFTSPlusStaticSubgraphInitStaticFFTSInputsffts_subgraph_converter.ccFFTSSetSkipCtxFFTSSkipCtxHolder_all_ctx_id_list(!ctx_id_vec.empty())FftsUpdateCommonCtxFFTSRollbackSkipCtxGet index failed.((in_anchor) != nullptr)((anchor) != nullptr)((next_node) != nullptr)thread_depend_input_val_at_end_ctx_id_listGraph[%s] proc depend failed.Sgt init failed.Lowering graph[%s] failed.[%s:%d]%lu %s:Node[%s] set kernel info.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGraph pre thread func is null.((inputs.skip_ctx_holder) != nullptr)((bg::ValueHolder::AddDependency(order_holder, skip_ret)).IsSuccess())((bg::ValueHolder::AddDependency(task_ret[static_cast(TaskProcKey::TASK_LAUNCH)], rollback_ctx)).IsSuccess())[%s:%d]%lu %s:Start lowering FFTSPlus subgraph inner data %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] get %s failed((node->GetOwnerComputeGraph()) != nullptr)((parent_partitioned_call) != nullptr)((in_anchor->GetPeerOutAnchor()) != nullptr)((in_anchor->GetPeerOutAnchor()->GetOwnerNode()) != nullptr)get lowering result failed. peer in node:%s, current inner data:%s((const_lower_result) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet node[%s] parent node index failed.[%s:%d]%lu %s:Node[%s] is class 2, with depend index:%u.[%s:%d]%lu %s:Class 2 peer node[%s] index[%ld].(index < ori_lower_input->input_addrs.size())[%s:%d]%lu %s:Start lowering FFTSPlus output %s.[%s:%d]%lu %s:[%s] Init Sgt node[%s] Id:%ld[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not find compile result for node[%s].[%s:%d]%lu %s:[%s] Proto transfer failed.[%s:%d]%lu %s:Node[%s] type[%s] no need calc args size.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] not find calc args size func.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] calc args size failed.[%s:%d]%lu %s:Alloc graph total size:%zu.[%s:%d]%lu %s:Alloc ffts mem on main graph.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate memory guard failed.Graph[%s] class 2 op proc failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGraph[%s] pre thread failed.Graph[%s] update common failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGraph[%s] init ffts inputs failed.((bg::ValueHolder::AddDependency(update_ret, task_ret[static_cast(TaskProcKey::H2D_COPY)])).IsSuccess())[%s:%d]%lu %s:Graph[%s] Free ffts memory allocator after launch.[%s:%d]%lu %s:Node [%s] output index [%d] is ref.[%s:%d]%lu %s:Node [%s] add another output index [%d] is ref.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode is null.[%s:%d]%lu %s:Node [%s] type data has not ref.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode [%s] add output index [%d] ref fail.Param:input_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_anchor]null is invalidParam:peer_output_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:peer_output_anchor]null is invalid[%s:%d]%lu %s:Node [%s] output index [%d] ref input index [%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode [%s] find output index [%d] ref fail.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode [%s] find ref input node [%s] and out index %d fail.[%s:%d]%lu %s:Start lowering FFTSPlus dynamic graph %s.Mark ffts subgraph outputs failed.LoweringFFTSPlusGraphMarkSubGraphOutputsFindOutputRefMemorySetNodeOutputsAllocateMemoryTypeLoweringFFTSPlusGraphOutputLoweringFFTSPlusGraphInputLoweringFFTSPlusSubgraphstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]Class2OpInputProcFFTSAddNodeMemParaIsNoNeedCalcSizeAllocGraphAllMemoperator()FFTSSubGraphTransferInitFFTSInputsFFTSDependProcCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidFFTSCommonUpdate~TsMemMallstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr > > >]static ge::TypeID ge::TypeID::Of() [with T = std::set]FFTSGraphPreThread*ZN4gert20FFTSSubGraphTransferERKSt10shared_ptrIN2ge4NodeEERKS0_INS1_12ComputeGraphEEPKNS_18LoweringGlobalDataERmRSt10unique_ptrIA_hSt14default_deleteISF_EEEUljE_*ZN4gert20FFTSSubGraphTransferERKSt10shared_ptrIN2ge4NodeEERKS0_INS1_12ComputeGraphEEPKNS_18LoweringGlobalDataERmRSt10unique_ptrIA_hSt14default_deleteISF_EEEUlRKS0_INS1_6OpDescEERKN4domi14aicpuKernelDefEE0_N2ge6AnyMap6HolderISt3setIiSt4lessIiESaIiEEEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt3setIiSt4lessIiESaIiEEEESaIS8_ELN9__gnu_cxx12_Lock_policyE2EEsgt_plugin_manager.cc[%s:%d]%lu %s:Failed to read the shared library file path! errmsg:%s[%s:%d]%lu %s:The shared library file path is too long![%s:%d]%lu %s:Failed to get realpath of %s, errmsg:%slibgraphtuner_executor.soFFTSGraphPreThreadV2NewFFTSNodeThreadV2[%s:%d]%lu %s:Failed to get function %s in %s! errmsg:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet PreThreadV2New failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet ThreadV2 failedGet Graph tune function failed, graph:%zu, node:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet Graph tune function failed, graph:%zu, node:%zu[%s:%d]%lu %s:Get SGT function successful.[%s:%d]%lu %s:SgtPluginManager already initialized.[%s:%d]%lu %s:Load graph tune plugin on lib: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sLoad Graph tune executor failed[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet sgt functions failed.GetModelPathInitializeGetAllFunctionsGetAllFunctionsGetSgtFunctionsFjRKSt10shared_ptrIN2ge12ComputeGraphEERKSt6vectorIS_IN4gert2bg11ValueHolderEESaIS9_EESD_RSB_EFjRKSt10shared_ptrIN2ge4NodeEERKSt6vectorIS_IN4gert2bg11ValueHolderEESaIS9_EESD_S9_RSB_EPFjRKSt10shared_ptrIN2ge12ComputeGraphEERKSt6vectorIS_IN4gert2bg11ValueHolderEESaIS9_EESD_RSB_EPFjRKSt10shared_ptrIN2ge4NodeEERKSt6vectorIS_IN4gert2bg11ValueHolderEESaIS9_EESD_S9_RSB_E((mem_para) != nullptr)((skip_holder) != nullptr)((ctx_id_v) != nullptr)((ctx_type_v) != nullptr)((task_info_para) != nullptr)((out_ret) != nullptr)((node_para) != nullptr)((mem_guard) != nullptr)((pre_para) != nullptr)((dev_addr) != nullptr)((skip_record) != nullptr)(ctx_id < total_num)FFTS memory check ok.((skip_ctx_holder) != nullptr)[%s:%d]%lu %s:Create skip ctx holder memory.[%s:%d]%lu %s:[%s][%s]Update context num is %zu, thread:%u, window:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sContext[%d] over total num[%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Context is nullptr.[%s:%d]%lu %s:[%s][%s]Update context id:%d type:%x[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Copy task info data[%zu] to dst[%zu] failed.[%s:%d]%lu %s:Base add host[%lx], dev[%lx].(buf_offset < (task_info_para->size - sizeof(TransTaskInfo)))(new_offset < (task_info_para->size - sizeof(TransTaskInfo)))[%s:%d]%lu %s:Mem base:%lx, align_base:%lx, offset:%zu, new offset:%zu, buf_len[%zu], left len[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Copy desc buf failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Resize mem guard size failed.[%s:%d]%lu %s:Base addr:%lx, node addr base:%lx, size:%zu, offset:%zu, guard[%ld].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Copy pre data failed.[%s:%d]%lu %s:No need to copy args to device.[%s:%d]%lu %s:H2D{%lx}{%lx}{%zu}{%zu}.rtMemcpyAsync(dev_addr_base, dev_addr->GetSize(), host_addr_base, host_addr->GetSize(), RT_MEMCPY_HOST_TO_DEVICE_EX, stream)(skip_record->GetSkipCtx(i, ctx_id, ctx_type))[%s:%d]%lu %s:Update context(id:%u/type:%u/slice_num:%u) to label.(ctx_type == ctx_tmp->contextType)[%s:%d]%lu %s:Output context(id:%u/type:%u).[%s:%d]%lu %s:Update context(id:%u/type:%u) to original type(%u).FFTS memory may has over write with block index: [%s:%d]%lu %s:Mem guard[%zu] val[%ld] not equal with real val[%ld].FFTSRollbackSkipCtxFFTSSetSkipCtxInitCreateSkipCtxHolderCheckMemGuardFFTSTaskAndArgsCopyCreateNodeMemParaNodeMemParaAssignFftsTaskInfoPreProcFftsUpdateCommonCtxcondition_calc_converter.cccond_func(IsValidHolder(cond_fn_name))FindKernelFunc(IsValidHolder(cond_func))x_dependency((dst_anchor) != nullptr)((src_node) != nullptr)((host_result) != nullptr)i < merged_holders.size()ConditionCalcBuildUnmanagedTensorData(IsValidHolder(shape_node))Failed get attr 'cond_func' from node %sge::AttrUtils::GetStr(op_desc, "cond_func", cond_fn)Failed create lower cond fn node.Failed create lower find kernel func node.Failed get attr 'x_dependency' from node %sge::AttrUtils::GetListInt(op_desc, "x_dependency", value_depend_type)Attr 'x_dependency' size mismatch %zu vs expect %uvalue_depend_type.size() == node->GetAllInDataAnchorsSize()Failed to get in data anchor from index %zu for node %sFailed to get peer out data anchor from index %zu for node %sFailed to get in data node from index %zu for node %sFailed to get lowering result from node %s when lowering node %s((const_src_result) != nullptr)Failed to get output result from src node %s when lowering node %s, src anchor idx %zuindex %zu >= merged_holders.size %zuFailed to create lower run kernel func node.(IsValidHolder(cond_func_ret))Failed to create lower stream id(IsValidHolder(stream_id_holder))Failed to create lower build tensor data node(IsValidHolder(lower_tensor_data))Failed to create lower shape nodestatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]LoweringConditionCalcSendRecv(init_outputs.size() == 1U)file_constant_converter.cc((var_id) != nullptr)((rt_session) != nullptr)(output_sizes.size() == 1U)((stream_holder) != nullptr)FileConstantKernel((out_addr) != nullptr)original_shapeFailed to get file path.FileConstant((allocator_holder) != nullptr)((file_constant_weight_dir_holder) != nullptr)((file_name_holder) != nullptr)((ValueHolder::CreateVoidGuarder("FreeMemory", out_addr, {})) != nullptr)((lower_input.global_data) != nullptr)(ge::AttrUtils::GetListInt(file_constant_opdesc, "shape", out_shape))(ge::AttrUtils::GetListInt(file_constant_opdesc, "original_shape", original_out_shape))((GetFileConstantStorageShapeFromOpdesc(op_desc, storage_shape)) == ge::SUCCESS)Failed to get FILE_CONSTANT_PATH option.((ge::FileConstantUtils::GetFileIdToPathMapFromOption(file_id_and_path_map)) == ge::SUCCESS)((ge::FileConstantUtils::GetFilePath(op_desc, file_id_and_path_map, tmp_file_path, offset, length)) == ge::SUCCESS)operator()operator()GetFileConstantStorageShapeFromOpdescLoweringFileConstantNode*ZZN4gert12_GLOBAL__N_121FileConstantConverterERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputERKSsRKS1_INS_2bg11ValueHolderEEENKUlvE_clEvEUlvE_*ZN4gert12_GLOBAL__N_121FileConstantConverterERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputERKSsRKS1_INS_2bg11ValueHolderEEEUlvE_*ZN4gert24LoweringFileConstantNodeERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_GatherShapesgather_shapes.ccaxesGatherShapesKernelge::AttrUtils::GetListListInt(op_desc, "axes", axes)[%s:%d]%lu %s: ErrorNo: %u(%s) %sattr [axes] is invalid, axis.size() is %zu, valid value is 2, axes: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sattr [axes] is invalid, axis[0] is %ld, valid range[0, %zu); axis[1] is %ld, valid range[0, %zu), axes: %s((CheckAxisSize(axes, op_desc)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sattr [dtype][%s] is invalid, allow data type is DT_INT32 and DT_INT64.((CheckDataType(op_desc)) == ge::GRAPH_SUCCESS)CheckDataTypeCheckAxisSizeLoweringGatherShapesNodeCopyTensorDataH2Hidentity_node_converter.cc((dst_address) != nullptr)AllocMemHbmCopyD2D((output_desc) != nullptr)((input_desc) != nullptr)MemcpyAddrAsyncIdentityNReadVariableOpMemcpyAsync((bg::ValueHolder::CreateVoidGuarder("FreeMemory", dst_address, {})) != nullptr)((bg::ValueHolder::CreateVoidGuarder("FreeMemory", dst_addr, {})) != nullptr)(index < input.input_addrs.size())(index < input.input_shapes.size())(index < ret.out_shapes.size())[%s:%d]%lu %s: ErrorNo: %u(%s) %sOutput shapes size %zu is not equal with input shapes size %zu.Output shapes size %zu is not equal with input shapes size %zu.Fail to lower CopyTensor for node %sLoweringIdentityLikeNodeCopyTensorCopyTensorH2HCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCopyTensorD2DCopyTensor2D*ZN4gert10CopyTensorERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEmRNS_11LowerResultEEUlvE_Failed to lowering %s node %s, empty outputsFailed to lowering %s node %s, the output count %zu, expect only one outputFailed to lowering %s node %s, the output count %zu not match with 2 times of if output count %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get subgraph index %d from %s node %s[%s:%d]%lu %s:Start lower subgraph %s of %s %s[%s:%d]%lu %s:Node %s subgraph %s input %zu from %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to lowering subgraph index %d for %s node %s, return nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to lowering subgraph index %d for %s node %s, reason %s[%s:%d]%lu %s:Start lowering node %s type %sFailed to lower node %s, add start index failedge::AttrUtils::SetInt(op_desc, "OuterStartIndex", 1)if_case_converter.ccStatelessIf_IfGenIndexForIfOuterStartIndexGenIndexForCaseLoweringCaseUpdatePlacementEnsureChainConflictSolvedEnsureResourceLifeCycleExtendedCreateFromNodeCreateFromNodeLegacyCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCondBuildSubgraphLoweringIf*ZN4gert10LoweringIfERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert10LoweringIfERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE0_*ZN4gert12LoweringCaseERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_Failed to lowering const node, the global data is nullptrFailed to get tensor value from const %sFailed to lowering data node, the global data is nullptrFailed to get index from data %s[%s:%d]%lu %s:Lowering data node name %s, index %d, data size %zuFailed to get refdata addr from global data %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get LowerResult of node %s._dynamic_batch_unknown_data_index(!unknown_shape_data_index.empty())(node->GetInControlNodesSize() == unknown_shape_data_index.size())(in_ctrl_node->GetType() == ge::DATA)(index != unknown_shape_data_index.size())((data_input_shape) != nullptr)_dynamic_batch_unknown_dim_index((get_cur_shape_shape) != nullptr)((get_cur_shape_addr) != nullptr)[%s:%d]%lu %s:empty tensor, shape size is 0. original shape: %s, storage shape: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy tensor data from compute node, calc size %ld more than stored in tensor %zu, data type %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy securec length tensor data from compute node[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy tensor data from compute node, copy length %ld, buffer length %zu, data type %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create SplitTensor((GetConstPlaceHolderAddr(op_desc, addr)) == ge::GRAPH_SUCCESS)(ge::AttrUtils::GetListInt(op_desc, "origin_shape", shape))(ge::AttrUtils::GetListInt(op_desc, "storage_shape", storage_shape))(ge::AttrUtils::GetInt(op_desc, "size", data_length))[%s:%d]%lu %s:[Lowering] op %s, addr ptr is %p, shape is [%s], storage_shape is [%s].Node [%s] failed to get info from attr((GetConstPlaceHolderAttr(op_desc, data_addr, data_length, out_shape)) == ge::SUCCESS)Node [%s] failed in lowering, DevMemValueHolder address is nullptrinputs_converter.ccDataNodeCounterAippDataUnfedData(IsValidHolder(outputs))(!unknown_dim_index.empty())((index_const) != nullptr)GetCurDynamicShapeConstPlaceHolderRefDatamulti_batch_shape_dataorigin_shapestorage_shapeLoweringMultiBatchShapeDataNodeCreateShapeDataAddrGetMultiBatchInputShapeAndIndexstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]GetInputDataShapeLoweringUnfedDataNodeLoweringDataNodeLoweringConstPlaceHolderNodeGetConstPlaceHolderAttroperator()LoweringConstNodeCreateExecuteTensorFromCompute*ZN4gert17LoweringConstNodeERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert28LoweringConstPlaceHolderNodeERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert19LoweringRefDataNodeERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE_*ZN4gert19LoweringRefDataNodeERKSt10shared_ptrIN2ge4NodeEERKNS_10LowerInputEEUlvE0_((place_in_ret) != nullptr)netoutput_converter.cc((in_ret) != nullptr)output_datas.size() > iEnsureTensorAtOutMemoryFailed to lowering Netoutput, can not find the PlacedLowerResult from its input node %sFailed to lowering Netoutput, can not find the LowerResult from its input node %sFailed to lowering Netoutput, can not find the LowerResult of input node %s is errorFailed to lowering Netoutput, tensor is nullptr. input node: %s, index: %dCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]LoweringNetOutputControlTriggerpartitioned_call_converter.cc_lower_partitioned_call_inputnode[%s] get %s failed((root_compute_graph) != nullptr)_lower_partitioned_call_output[%s:%d]%lu %s:Start lowering partitioned call subgraph inner data %s(ge::AttrUtils::GetInt(node->GetOpDescBarePtr(), ge::ATTR_NAME_PARENT_NODE_INDEX, index))[%s:%d]%lu %s:Start lowering partitioned call output %sLoweringPartitionedCallstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]GetLowerResultFromParentNodeLoweringPartitionedCallInputLoweringPartitionedCallOutputrank_converter.ccRankKernelcompute Rank kernel fail.RankLoweringRankNodeFailed to generate infershape for node %s!lower_input.mem_pool_types.empty()[%s:%d]%lu %s:Lowering reshape_like node [%s], type:[%s], mem_type:[%u].ReshapeExpandDimsSqueezeUnsqueezeSqueezeV2UnsqueezeV2SqueezeV3UnsqueezeV3FlattenV2Input memory type is emptyreshape_converter.ccLoweringReshapestatic ge::TypeID ge::TypeID::Of() [with T = std::vector]BuildShapeTensorDataShapeNsize_converter.ccGetShapeSizeKernelcompute size kernel fail.(IsValidHolder(output_data))CheckDataTypeLoweringSizeNodesubgraph_io_converter.cc_inner_data_start_index((owner_graph) != nullptr)((parent_node) != nullptr)(IsValidHolder(shape_holder))(IsValidHolder(addr_holder))_placement_subgraph_input_subgraph_outputOwner graph of node %s is nullptrParent node of subgraph %s is nullptrFailed get attr '%s' from compute data node %sge::AttrUtils::GetInt(op_desc, ge::ATTR_NAME_PARENT_NODE_INDEX, tensor_index)Failed create InnerData for cond shape holderFailed set attr 'index' to lower data node %sge::AttrUtils::SetInt(shape_holder->GetNode()->GetOpDescBarePtr(), ge::ATTR_NAME_INDEX, shape_index)shape_holder->AddInnerDataToKVMap(shape_index).IsSuccess()[%s:%d]%lu %s:Get parent node index: %d of node: %s and set index: %d to shape holder: %sFailed create InnerData for cond value holderge::AttrUtils::SetInt(addr_holder->GetNode()->GetOpDescBarePtr(), ge::ATTR_NAME_INDEX, addr_index)addr_holder->AddInnerDataToKVMap(addr_index).IsSuccess()[%s:%d]%lu %s:Get parent node index: %d of node: %s and set index: %d to addr holder: %s(attr_placement >= -1) && (attr_placement <= static_cast(TensorPlacement::kTensorPlacementEnd))LoweringSubgraphInputshape_and_addr.size() == 2Uvariable_converter.ccLoweringVariablehostwhile_converter.cccond!attr_graph_name.empty()((attr_graph) != nullptr)IsValidHolder(outputs)(!outputs.empty())control_frameIsValidHolder(pivot)IsValidHolder(done)((frame) != nullptr)Failed lower cond graph %s((lower_result) != nullptr)1UIsValidHolder(data_type)GenCondForWhile((graph_frame) != nullptr)Lower__sub_graph_((placed_result) != nullptr)result->has_init((body) != nullptr)body_lower_while_body_outputFailed lower body graph %s(IsValidHolder(holders))IsValidHolder(inputs.back())_lower_while_cond_outputIsValidHolder(exit)StatelessWhile[%s:%d]%lu %s:Node %s has no graph attr named %sEmpty instance graph name for attr %sFailed build graph call for %s as has no net-output node((bg::ValueHolder::PushGraphFrame(subgraph_call, "control_frame")) != nullptr)((BuildGraphCallControlFrame(outputs.front())) != nullptr)((bg::ValueHolder::PushGraphFrame(outputs.front(), "f")) != nullptr)lower_result->result.IsSuccess()lower_result->out_addrs.size()((net_output->GetOpDescBarePtr()) != nullptr)The in node %s of net-output %s have no placed lowering result[%s:%d]%lu %s:Start lowering while cond output %s[%s:%d]%lu %s:Start lowering while body output %sge::AttrUtils::GetInt(data_node, ge::ATTR_NAME_PARENT_NODE_INDEX, index)((placed_lower_result) != nullptr)[%s:%d]%lu %s:While node input %zu flow to mismatch-ordered %zu[%s:%d]%lu %s:Add identity as barrier for update inputs for next loop as %s body can not inplace(IsValidHolder(shape_and_addrs))((bg::ValueHolder::PushGraphFrame(lower_while, "body")) != nullptr)Body graph %s has no net-output node((lower_body_result) != nullptr)lower_body_result->result.IsSuccess()((body_graph_frame) != nullptr)(IsValidHolder(identified_shapes))(IsValidHolder(identified_addrs))(IsValidHolder(ret.order_holders))i + num_tensors < inputs.size()((bg::ValueHolder::PushGraphFrame(lower_while, "control_frame")) != nullptr)ge::AttrUtils::SetInt(inputs.back()->GetNode()->GetOpDescBarePtr(), "index", i)Cond graph %s has no net-output node((BuildCondGraphCall(while_node, inputs, global_data, cond_outputs)) == ge::GRAPH_SUCCESS)IsValidHolder(switch_notifies)ge::AttrUtils::SetBool(switch_notifies[0]->GetNode()->GetOpDescBarePtr(), ge::kRequestWatcher, true)IsValidHolder(watcher_placeholder)((bg::ValueHolder::AddDependency(body_pivot, body_done)).IsSuccess())((BuildControlFrame(node, lower_while, *lower_input.global_data)) == ge::GRAPH_SUCCESS)((LowerBodyGraph(node, lower_while, *lower_input.global_data)) == ge::GRAPH_SUCCESS)IsNotAliasOrOrderedIsNotAliasOrOrderedIsWhileBodyCanInplaceLoweringWhileBodyOutputstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]GetNodeLowerInputPlacedOnLoweringWhileCondOutputLowerBodyGraphBuildGraphCallControlFrameBuildGraphCallGetGraphTypeAttrInstanceGraphNameGetAttrSubgraphBuildCondGraphCallBuildControlFrameCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCreateLowerWhileNodeLoweringWhilenode_converter_utils.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[NodeConverter][GetTaskDef][%s(%s)] At most %zu task was supported, but got %zu[%s:%d]%lu %s:Node[%s] Expect %zu tasks, but got %zu[%s:%d]%lu %s:Node[%s] do not need workspace.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[NodeConverter][GetTaskDef]Only TBE, AI_CPU, CUST_AI_CPU kernel are supported, but got %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[NodeConverter][GetTaskDef]Only AI_CORE and AI_CPU support, but got task_type %uEnableHostCacheConvertWorkspaceSizeGetTaskDefGetTaskdefByType'(InitCmoArgscmo_node_converter.ccUpdatePrefetchTaskInfoLaunchCmoTaskCmoInput addrs is empty for node [%s].!lower_input.input_addrs.empty()Input shapes is empty for node [%s].!lower_input.input_shapes.empty()[%s:%d]%lu %s:Lowering cmo node[%s] end, op_code:[%u].LoweringCmoNodecmo_launch_kernel.cc((cmo_task_info) != nullptr)((cmo_args) != nullptr)src: on stream:((ge::rtCmoTaskLaunch(cmo_args, stream, 0U)) == 0)Launch cmo task with inner_len:LaunchCmoTracerLaunchCmoTaskUpdatePrefetchTaskInfoCreateCmoLaunchArgsoverflow_detection_kernel.cc((args_holder) != nullptr)((output_tensor) != nullptr)((args_dev) != nullptr)NpuGetFloatStatusNpuGetFloatStatusArgsNpuClearFloatStatusNpuGetFloatDebugStatusNpuClearFloatDebugStatus((ge::rtNpuClearFloatDebugStatus(0UL, stream)) == 0)((ge::rtNpuClearFloatStatus(0UL, stream)) == 0)((rtMemcpyAsync(args_dev->GetAddr(), sizeof(void *), &args_holder->output_holder, sizeof(void *), RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)((ge::rtNpuGetFloatDebugStatus(args_dev->GetAddr(), args_holder->output_size, 0U, stream)) == 0)((ge::rtNpuGetFloatStatus(args_dev->GetAddr(), args_holder->output_size, 0U, stream)) == 0)NpuClearFloatDebugStatusNpuGetFloatDebugStatusNpuClearFloatStatusCreateNpuGetFloatStatusArgsNpuGetFloatStatusArgsNpuGetFloatStatusrts_ffts_plus_kernel.cc((addr_holder) != nullptr)((sdma_len) != nullptr)Thread dim val [0] is invalid(thread_dim != 0)(window_size <= ctx_num)SdmaUpdateContextCalcFftsThreadDataLenSdmaDataLenHolder is nullptrslice_flag:thread_dim:non_tail_len:task info is nullptrctx_head is nullptrcontext ids is nullptrwindow size is invalidctx id is out of rangeidx: src_offset: dst_offset: src_addr: dst_addr:((non_tail_slice) != nullptr)((mem_size) != nullptr)non_tail_slice->GetSize()[%s:%d]%lu %s:SdmaUpdateContext begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %sContext id [%d] is invalid.[%s:%d]%lu %s:SdmaUpdateContext end.((data_len_holder) != nullptr)((CalcUnalignedTensorSizeByShape(*non_tail_shape, dtype, non_tail_size)) == ge::GRAPH_SUCCESS)(non_tail_slice->GetSize() > 0UL)((CalcUnalignedTensorSizeByShape(*tail_shape, dtype, tail_size)) == ge::GRAPH_SUCCESS)BuildSdmaDataLenHolderCalcFftsThreadDataLenSdmaUpdateContext(!output_addrs.empty())rts_ffts_plus_node_convert.ccInput addr size is invalidSet free addr failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[LoweringIdentityLikeNode]Input is invalid.[%s:%d]%lu %s:Lowering rts node [%s] type [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Op] Input addr size is invalid.Output shape size [%zu] is invalidout_shapes.size() == input.input_addrs.size()node->GetOpDesc()->SetExtAttr(kFftsAllocVecHolder, alloc_holder_vec)LoweringIdentityLikeNodestatic ge::TypeID ge::TypeID::Of() [with T = std::set]static ge::TypeID ge::TypeID::Of() [with T = std::vector]static ge::TypeID ge::TypeID::Of() [with T = std::vector >]AllocOutputMemrts_node_convert.ccDNN_VM_RTS_FFTS_PLUS_OP_STORE[%s:%d]%lu %s:Start lowering %s(%s)Cannot find lowering func for node type:[%s].LoweringNpuClearFloatStatusV2LoweringNpuClearFloatDebugStatusLoweringNpuGetFloatDebugStatusLoweringNpuClearFloatStatusLoweringNpuGetFloatStatusFN4gert11LowerResultERKSt10shared_ptrIN2ge4NodeEENS_10LowerInputEEPFN4gert11LowerResultERKSt10shared_ptrIN2ge4NodeEENS_10LowerInputEEStreamSwitchStreamMergeRefEnterRefNextIterationNode falsestream_control_converter.cc) is a lower op generated by tensorflow V1 control ops and is no longer supported, you should replace it with V2 version: add following codes at the beginning of your script: tf.enable_control_flow_v2() tf.enable_resource_variables()NB: If the problem persists after configuration, you need to additionally add: config.graph_options.rewrite_options.function_optimization = RewriterConfig.OFF in the tensorflow Session config to explicitly disable function optimization.LoweringUnsupportedV1ControlOpsLoweringTransparentTransmissionInputassign_device_mem.ccRequireSizeBaseWeightAddrCreateMemAssignerOuterWeightMemGetOrCreateWeightMem(!flatten_weight.empty())AssignWeightMemorySinkWeightData[%s:%d]%lu %s:RequireSize[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get tensor value from const %s[%s:%d]%lu %s:get flatten weight failed, flatten_weight size[%zu][%s:%d]%lu %s:get const[%s], offset[%ld],size[%ld]GetFlattenOffsetInfoSinkWeightDataPrepareForWeightSink*ZZN4gert12_GLOBAL__N_120PrepareForWeightSinkERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert12_GLOBAL__N_120PrepareForWeightSinkERNS_18LoweringGlobalDataEEUlvE_*ZZN4gert15AssignDeviceMem17GetBaseWeightAddrERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert15AssignDeviceMem17GetBaseWeightAddrERNS_18LoweringGlobalDataEEUlvE_*ZZN4gert15AssignDeviceMem22GetOrCreateMemAssignerERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert15AssignDeviceMem22GetOrCreateMemAssignerERNS_18LoweringGlobalDataEEUlvE_FjPKN2ge4NodeERN4gert18LoweringGlobalDataENS_8DataTypeERKNS3_17OutputLowerResultElRS7_EPFjPKN2ge4NodeERN4gert18LoweringGlobalDataENS_8DataTypeERKNS3_17OutputLowerResultElRS7_Ebg_condition.ccFailed to topo sort on %zu graph , node %s type %s((ge::NodeUtils::GetSubgraph(*node, i)->TopologicalSorting()) == ge::SUCCESS)((ValueHolder::PushGraphFrame(cond_holder, ge::kConditionGraph)) != nullptr)(ge::AttrUtils::SetInt(data->GetNode()->GetOpDescBarePtr(), "index", index))(ge::AttrUtils::SetBool(outputs[0U]->GetNode()->GetOpDescBarePtr(), ge::kRequestWatcher, true))((ValueHolder::CreateVoid("WatcherPlaceholder", {outputs[0U]})) != nullptr)(ge::AttrUtils::SetInt(pivot->GetNode()->GetOpDescBarePtr(), ge::kRelativeBranch, i + 1U))(ge::AttrUtils::SetInt(done->GetNode()->GetOpDescBarePtr(), ge::kRelativeBranch, i + 1U))((ValueHolder::AddDependency(pivot, done)).IsSuccess())((ValueHolder::AddDependency(done, wait_anyone)).IsSuccess())((ValueHolder::PushGraphFrame(cond_holder, subgraph_names[i].c_str())) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create branch graphs, %zu th(%s) outputs num are different with first(%s) %zu/%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to construct %s graph(output_index < output_indexes_to_input_indexes.size())(ge::AttrUtils::GetInt(in_node->GetOpDescBarePtr(), kFeedIndex, data_index))[%s:%d]%lu %s: ErrorNo: %u(%s) %sget guarder type of node %s[%s] failed, guarder type = %s((op_desc->AddInputDesc(ge::GeTensorDesc())) == ge::SUCCESS)((op_desc->AddOutputDesc(ge::GeTensorDesc())) == ge::SUCCESS)((ge::GraphUtils::InsertNodeBefore(netoutput_node->GetInDataAnchor(conflict_index), node, pfi_index, pfi_index)) == ge::SUCCESS)CondGraph((outputs[0U]) != nullptr)builders.size()subgraph_names.size()(!subgraph_name.empty())((netoutput) != nullptr)((netoutput_node) != nullptr)NodeWithGuarderOutsideIdentityAddrPointFromInputsSortAllSubgraphsAddPointFromForConflictsCalcChainConflictSolvePolicyAddPlusCountFindGuarderCalcSubgraphGuardersPolicyCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCreateInnerDataCreateControlFrameCreateBranchGraphsReleaseResourceIndex((global_data) != nullptr)bg_core_type.ccAiCoreVectorCoreMixMIX_AICOREMIX_VECTOR_CORE[%s:%d]%lu %s:Get attr: %s of node: %s is %s.[%s:%d]%lu %s:core type key: %s.GetCoreType*ZZN4gert2bg11GetCoreTypeERKSt10shared_ptrIN2ge4NodeEEPNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg11GetCoreTypeERKSt10shared_ptrIN2ge4NodeEEPNS_18LoweringGlobalDataEEUlvE_bg_davinci_model_finalizer.ccDavinciModelFinalizer(!davinci_model_finalizer_list.empty())((davinci_model_finalizer) != nullptr)((davinci_model_holder) != nullptr)((davinci_model_holder->GetNode()) != nullptr)((davinci_model_finalizer->AppendInputs({davinci_model_holder})) == ge::SUCCESS)[%s:%d]%lu %s:Success to add data edge from davinci_model %s to davinci_model_finalizer.CreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidDavinciModelFinalizer*ZZN4gert2bg21DavinciModelFinalizerERKSt10shared_ptrINS0_11ValueHolderEERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg21DavinciModelFinalizerERKSt10shared_ptrINS0_11ValueHolderEERNS_18LoweringGlobalDataEEUlvE_IdentityShape((ret) != nullptr)bg_identity.ccaddrs.size()IdentityShapeAndAddrret.size()((ret[i]) != nullptr)IdentityShapeAndAddrIdentityAddrIdentityShapeAndAddrIdentityAddrIdentityAddrbg_infer_shape.cc_FindInferShapeFuncFindCompatibleInferShapeFuncCreateOpFromBufferCompatibleInferShapeinput_shapes.size()real_inputs_sizeParent node index is invalid._RetVal[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid default space registry![%s:%d]%lu %s:Serialize node[name:%s] not success.[%s:%d]%lu %s:Fail to serialize node %s to array.[%s:%d]%lu %s:Node %s type %s not support v2 infershape. Turns to v1 infershape.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s parent node index is %ld, not valid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s output shapes size is %zu, try invalid index %d.Index %d out of range of peer out shape %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sget node input shape failed, node:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %slowering normal node failed, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %sIndex[%ld] is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sRetval %s inputs size %zu is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to generate InferShape node for node %s, the input shapes size %zu, node input size %zu[%s:%d]%lu %s:Node %s type %s not support v2 infershape. Truns to v1 infershape.LowerInnerRetValGetNodeInputShapesLoweringNormalNodeLowerInnerDataInferUbGraphShapeInferStorageShapeInferStorageShapeBuildInferShapeGraphBuildInferShapeGraphSerializeNodeBuildCompatibleInferShapeGraph*ZZN4gert2bg20BuildInferShapeGraphERKSt10shared_ptrIN2ge4NodeEERKSt6vectorIS1_INS0_11ValueHolderEESaIS9_EERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg20BuildInferShapeGraphERKSt10shared_ptrIN2ge4NodeEERKSt6vectorIS1_INS0_11ValueHolderEESaIS9_EERNS_18LoweringGlobalDataEEUlvE_bg_infer_shape_range.ccFindInferShapeRangeFuncCompatibleInferShapeRangeFindCompatibleInferShapeRangeFunc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to generate InferShapeRange node for node %s, the input shape ranges size %zu, node input size %zuCreateTensorRangesAndShapeRanges[%s:%d]%lu %s:Node %s type %s not support v2 infer_shape_range. Turns to v1 infer_shape_range.[%s:%d]%lu %s: ErrorNo: %u(%s) %snode is null[%s:%d]%lu %s: ErrorNo: %u(%s) %sinfer shape range failed. node: %s(%s)InferMaxShapeInferShapeRangeSerializeNodeBuildCompatibleInferShapeRangeGraphBuildInferShapeRangeGraphbg_kernel_launch.cc_disable_mix_vector_core_mix_core_num_vec[%s:%d]%lu %s:Node[%s] disable vector core.[%s:%d]%lu %s:Node[%s] core num[%u][%u][%u] invalid.[%s:%d]%lu %s:Node[%s] get invalid sub stream id[%ld].[%s:%d]%lu %s:Node[%s] in single stream scene, go normal mode.[%s:%d]%lu %s:Node[%s] get invalid notify size[%zu].[%s:%d]%lu %s:Sub stream id[%ld] notify id[%ld][%ld].CreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidBuildLaunchCommonTailbg_memory.ccCalcTensorSizeFromStorageCalcTensorSizeFromShapeFailed, found invalid holderAllocateFftsMemAllocateBatchFftsMems((batch_addrs) != nullptr)RecycleFftsMemsCreateFftsMemAllocatorAllocMemHost((free_mem) != nullptr)Node %s get ref map failed((desc) != nullptr)AllocBatchHbmFreeMemHostAllocBatchHostFreeBatchHostUnSupportAllocUnSupportFree[%s:%d]%lu %s:Alloc memory on init size:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create AllocMem nodes, the output shapes num %zu not equal to the num of node output %u, node name %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create AllocMem node for node %s, unknown memory type %dallocator_holder must not be nullptr((ValueHolder::CreateVoidGuarder("FreeBatchFftsMems", batch_addrs, {})) != nullptr)((device_allocator) != nullptr)(ge::AttrUtils::SetInt(free_mem->GetNode()->GetOpDescBarePtr(), kReleaseResourceIndex, 0))[%s:%d]%lu %s:Node %s has unfed optional input %zu[%s:%d]%lu %s:Node %s meta input '%s' %u update fed index %uNode %s output %u '%s' ref from unfed inputinput_name_and_fed_index != input_name_2_fed_index.end()[%s:%d]%lu %s:Node %s output %u '%s' reuse memory with fed input %uCheck outputs num and placement failed, node name %s[%s:%d]%lu %s:Node %s output %zu ref from input %zu exceed input addrs num %zu, If are you call bg::AllocOutputMemory for ref node, replace it with version with input addrs and pass the input addrs properly[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s output %zu ref from variable %s but requested placed on %dAllocateBatchFftsMemsCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidCreateFftsMemAllocatorAllocMemOnInitAllocMemWithoutGuarderAllocMemCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidFreeWorkspaceMemAllocWorkspaceMemAllocOutputMemoryIsNodeHasUnfedOptionalInputGetNodeInputName2InputIndexGetNodeRefMapCheckOutputsNumAndPlacementCalcOutTensorSize*ZN4gert2bg14AllocMemOnInitENS_15TensorPlacementEmRNS_18LoweringGlobalDataEEUlvE_ReleaseResourceIndex(outputs.size() == 1U)bg_model_desc.ccGetSpaceRegistryGetFileConstantWeightDirGetFileConstantWeightDir output size[%zu], expect 1.GetFileConstantWeightDir*ZN4gert2bg16GetSpaceRegistryERKNS_18LoweringGlobalDataEEUlvE_*ZN4gert2bg24GetFileConstantWeightDirERKNS_18LoweringGlobalDataEEUlvE_PlatformInfosbg_platform.cc_Append_CoreType_GetPlatformInfo((platform_info) != nullptr)AppendCoreTypeToPlatformoperator()AppendCoreTypeToPlatform*ZZN4gert2bg15GetPlatformInfoEPNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg15GetPlatformInfoEPNS_18LoweringGlobalDataEEUlvE_*ZZN4gert2bg24AppendCoreTypeToPlatformERKSt10shared_ptrIN2ge4NodeEEPNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg24AppendCoreTypeToPlatformERKSt10shared_ptrIN2ge4NodeEEPNS_18LoweringGlobalDataEEUlvE_(!allocator.empty())ReusableStreamAllocatorbg_reusable_stream_allocator.ccReusableStreamAllocator*ZZN4gert2bg23ReusableStreamAllocatorERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg23ReusableStreamAllocatorERNS_18LoweringGlobalDataEEUlvE_RtSessionGetSessionId*ZN4gert2bg12GetSessionIdERNS_18LoweringGlobalDataEEUlvE_Failed to get output tensor desc from node %s(%s), index %d((ValueHolder::CreateVoidGuarder("FreeTensorMemory", tensor, {})) != nullptr)((ValueHolder::CreateVoidGuarder("FreeMemory", host_addr, {})) != nullptr)((tensor_desc) != nullptr)bg_tensor.ccBuildTensorCopyD2HCopyD2HBuildTensorCreateBuildTensorAttrbg_tiling.ccx.f >= y.fFindCompatibleTilingFuncCompatibleTilingParse Print created args info: Node name[], node type[], node io num[], received args info num[]. Final args info num[]. Args infos[]: arg type[], arg format[], arg start index[], arg size[[%s:%d]%lu %s:%s_FindTilingFuncloc != nullptr_workspace_index_listTilingAppendWorkspace_memcheckori_op_para_sizeTilingAppendMemCheckFallibleCompatibleTilingFallibleTiling[%s:%d]%lu %s: ErrorNo: %u(%s) %sIoType check failed.[%s:%d]%lu %s:Op[%s] does not have attr[%s].((CheckArgsInfoType(args_infos[idx].arg_type)) == ge::SUCCESS)((CheckArgsInfoFormat(args_infos[idx].arg_format)) == ge::SUCCESS)[PARAM][INVALID] Args info start index[%d], expect >= -1. Please check args info.(args_infos[idx].start_index >= -1)[PARAM][INVALID]Args info index[%zu], start index doesn't match arg size. Start index[%d], expect -1, arg size[%u], expect 0.((args_infos[idx].start_index == -1 && args_infos[idx].arg_size == 0U))[PARAM][INVALID] Direct addr arg size[%u], expect 1. Please check args info.(args_infos[idx].arg_size == 1U)[PARAM][INVALID] Input index[%zu], expect in range[0, %zu). Please check args info.(io_idx_upper_bound < node_input_num)[PARAM][INVALID] Output index[%zu], expect in range[0, %zu). Please check args info.(io_idx_upper_bound < node_output_num)cannot use operator[] with a string argument with Failed to set compile_info_value to json of op[%s]. op_compile_info_json:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set compile_info_value to json of op[%s]. op_compile_info_json:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to assemble compile info json for op[%s, %s].[%s:%d]%lu %s:Node %s type %s only support compatible tiling. Try turns to tiling on compatible version.[%s:%d]%lu %s:Node: %s has known workspace info.[%s:%d]%lu %s:[Tiling] Start build TilingAppendMemCheck kernel%d[json.exception.m_type != value_t::object || m_value.object != nullptrm_type != value_t::array || m_value.array != nullptrm_type != value_t::string || m_value.string != nullptrm_type != value_t::binary || m_value.binary != nullptr at line , column parse_errorparse error԰ true literalfalse literalnull literalstring literalnumber literal'[''{'']''}'':'','unknown tokenend of input'[', '{', or a literalsyntax error while parsing ; last read: 'unexpected ; expected d$ԵԵԵĵtPж 0ptype_errorn_chars < number_buffer.size() - 1out_of_rangeFF0123456789ABCDEFindex < 400\u%04x\u%04x: 0xinvalid UTF-8 byte at index \ufffd�incomplete UTF-8 string; last byte: 0xvector::_M_insert_aux!keep_stack.empty()!key_keep_stack.empty()object_elementref_stack.back()->is_array() || ref_stack.back()->is_object()invalid_iteratorobjectarraybooleanbinarydiscardednumberiterator out of rangecannot use erase() with iterator does not fit current value*666!ref_stack.empty()ref_stack.back()->is_object()std::isfinite(value)value > 0delta >= 0x.f != 0((x.f << delta) >> delta) == x.fm_plus.e == m_minus.em_plus.e == v.ee >= -1500e <= 1500kAlpha <= cached.e + e + 64kGamma >= cached.e + e + 64p1 > 0d <= 9len >= 1dist <= deltaten_k > 0buf[len - 1] != '0'p2 > deltastatic_cast(index) < kCachedPowers.size()last - first >= std::numeric_limits::max_digits10len <= std::numeric_limits::max_digits10last - first >= 2 + (-kMinExp - 1) + std::numeric_limits::max_digits10last - first >= std::numeric_limits::max_digits10 + 6k > ne > -1000e < 1000{}{ [][ !val.m_value.array->empty()"bytes": [], "subtype": {"bytes":[],"subtype":null}truei != val.m_value.object->cend()std::next(i) == val.m_value.object->cend()$4%')$*d*+$+-vector::_M_realloc_insertinvalid number; expected digit after '-'invalid number; expected digit after '.'invalid number; expected '+', '-', or digit after exponentinvalid number; expected digit after exponent signendptr == token_buffer.data() + token_buffer.size()!token_string.empty()current == 'u'0x0000 <= codepoint && codepoint <= 0xFFFFranges.size() == 2 || ranges.size() == 4 || ranges.size() == 6invalid string: ill-formed UTF-8 bytecurrent == '\"'invalid string: missing closing quoteinvalid string: '\u' must be followed by 4 hex digitsinvalid string: surrogate U+D800..U+DBFF must be followed by U+DC00..U+DFFF0x00 <= codepoint && codepoint <= 0x10FFFFinvalid string: surrogate U+DC00..U+DFFF must follow U+D800..U+DBFFinvalid string: forbidden character after backslashinvalid string: control character U+0000 (NUL) must be escaped to \u0000invalid string: control character U+0001 (SOH) must be escaped to \u0001invalid string: control character U+0002 (STX) must be escaped to \u0002invalid string: control character U+0003 (ETX) must be escaped to \u0003invalid string: control character U+0004 (EOT) must be escaped to \u0004invalid string: control character U+0005 (ENQ) must be escaped to \u0005invalid string: control character U+0006 (ACK) must be escaped to \u0006invalid string: control character U+0007 (BEL) must be escaped to \u0007invalid string: control character U+0008 (BS) must be escaped to \u0008 or \binvalid string: control character U+0009 (HT) must be escaped to \u0009 or \tinvalid string: control character U+000A (LF) must be escaped to \u000A or \ninvalid string: control character U+000B (VT) must be escaped to \u000Binvalid string: control character U+000C (FF) must be escaped to \u000C or \finvalid string: control character U+000D (CR) must be escaped to \u000D or \rinvalid string: control character U+000E (SO) must be escaped to \u000Einvalid string: control character U+000F (SI) must be escaped to \u000Finvalid string: control character U+0010 (DLE) must be escaped to \u0010invalid string: control character U+0011 (DC1) must be escaped to \u0011invalid string: control character U+0012 (DC2) must be escaped to \u0012invalid string: control character U+0013 (DC3) must be escaped to \u0013invalid string: control character U+0014 (DC4) must be escaped to \u0014invalid string: control character U+0015 (NAK) must be escaped to \u0015invalid string: control character U+0016 (SYN) must be escaped to \u0016invalid string: control character U+0017 (ETB) must be escaped to \u0017invalid string: control character U+0018 (CAN) must be escaped to \u0018invalid string: control character U+0019 (EM) must be escaped to \u0019invalid string: control character U+001A (SUB) must be escaped to \u001Ainvalid string: control character U+001B (ESC) must be escaped to \u001Binvalid string: control character U+001C (FS) must be escaped to \u001Cinvalid string: control character U+001D (GS) must be escaped to \u001Dinvalid string: control character U+001E (RS) must be escaped to \u001Einvalid string: control character U+001F (US) must be escaped to \u001F:9999:x:`:H:0:88p8X8@8(887777P;8; ;;::::p9;;h;887888888888888888888888888888888888888888888888888888888888988888888888888888888888888888888888;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;9999999999999999999999999999998`9`9`9`9`9`9`9`9`9`9`9`9P9`9`9@9 9 9 9(:88888888888888888888888888888888888888888888888888888888888888888888888888888888~88l87invalid BOM; must be 0xEF 0xBB 0xBF if giveninvalid comment; missing closing '*/'invalid comment; expecting '/' or '*' after '/'invalid literal@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@'?@1?@@@@@@@@;?@@@@@@@?@@@@@z>@@@@@@?@p>object keyobject separatorref_stack.back()->is_array()number overflow parsing '!states.empty()E@A`EpDDBBCCEEEE?-\]] \d^d\d\]t\cannot get valuem_it.object_iterator != m_object->m_value.object->end()m_it.array_iterator != m_object->m_value.array->end()nhiXl l8lijXj knnnng|bpbdbXbLbbbb@b2achar* ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::append_exponent(char*, int)char* ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::format_buffer(char*, int, int, int, int)void ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::grisu2_round(char*, int, uint64_t, uint64_t, uint64_t, uint64_t)static ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp::sub(const ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp&, const ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp&)void ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::grisu2_digit_gen(char*, int&, int&, ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp, ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp, ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp)ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::cached_power ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::get_cached_power_for_binary_exponent(int)void ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::grisu2(char*, int&, int&, ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp, ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp, ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp)static ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp::normalize(ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp)static ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp::normalize_to(const ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::diyfp&, int)ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::boundaries ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::compute_boundaries(FloatType) [with FloatType = double]void ascend_nlohmann::json_abi_v3_11_2::detail::dtoa_impl::grisu2(char*, int&, int&, FloatType) [with FloatType = double]char* ascend_nlohmann::json_abi_v3_11_2::detail::to_chars(char*, const char*, FloatType) [with FloatType = double]void ascend_nlohmann::json_abi_v3_11_2::detail::serializer::dump_integer(NumberType) [with NumberType = long unsigned int; typename std::enable_if<(((std::is_integral::value || std::is_same::value) || std::is_same::value) || std::is_same::value), int>::type = 0; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]void ascend_nlohmann::json_abi_v3_11_2::detail::serializer::dump_integer(NumberType) [with NumberType = long int; typename std::enable_if<(((std::is_integral::value || std::is_same::value) || std::is_same::value) || std::is_same::value), int>::type = 0; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]static uint8_t ascend_nlohmann::json_abi_v3_11_2::detail::serializer::decode(uint8_t&, uint32_t&, uint8_t) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; uint8_t = unsigned char; uint32_t = unsigned int]void ascend_nlohmann::json_abi_v3_11_2::detail::serializer::dump_escaped(const string_t&, bool) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::serializer::string_t = std::basic_string]void ascend_nlohmann::json_abi_v3_11_2::detail::serializer::dump(const BasicJsonType&, bool, bool, unsigned int, unsigned int) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::end_object() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::key(ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::string_t&) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::string_t = std::basic_string]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::end_array() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = long unsigned int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = std::basic_string&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = long int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = bool&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = std::nullptr_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = double&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = ascend_nlohmann::json_abi_v3_11_2::detail::value_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator->() const [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer = ascend_nlohmann::json_abi_v3_11_2::basic_json<>*]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::end_object() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::end_array() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = long unsigned int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = std::basic_string&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = long int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = bool&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = std::nullptr_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = double&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = ascend_nlohmann::json_abi_v3_11_2::detail::value_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type ascend_nlohmann::json_abi_v3_11_2::detail::lexer::scan_number() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type = ascend_nlohmann::json_abi_v3_11_2::detail::lexer_base >::token_type]bool ascend_nlohmann::json_abi_v3_11_2::detail::lexer::next_byte_in_range(std::initializer_list::int_type>) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; typename std::char_traits::int_type = int]int ascend_nlohmann::json_abi_v3_11_2::detail::lexer::get_codepoint() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type ascend_nlohmann::json_abi_v3_11_2::detail::lexer::scan_string() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type = ascend_nlohmann::json_abi_v3_11_2::detail::lexer_base >::token_type]void ascend_nlohmann::json_abi_v3_11_2::detail::lexer::unget() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]static char ascend_nlohmann::json_abi_v3_11_2::detail::lexer::get_decimal_point() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]void ascend_nlohmann::json_abi_v3_11_2::basic_json::assert_invariant(bool) const [with ObjectType = std::map; ArrayType = std::vector; StringType = std::basic_string; BooleanType = bool; NumberIntegerType = long int; NumberUnsignedType = long unsigned int; NumberFloatType = double; AllocatorType = std::allocator; JSONSerializer = ascend_nlohmann::json_abi_v3_11_2::adl_serializer; BinaryType = std::vector]AssembleCompileInfoJsonBuildAtomCompileInfoFallibleTilingBuildCompileInfoTilingBuildTilingInputsSerializeNodeBuildCompatibleTilingParseParseIoNumFromArgsInfoDebugForArgsInfoCheckArgsInfo *ZZN4gert2bg13AddTilingFuncERSt6vectorISt10shared_ptrINS0_11ValueHolderEESaIS4_EERKSsRNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert2bg13AddTilingFuncERSt6vectorISt10shared_ptrINS0_11ValueHolderEESaIS4_EERKSsRNS_18LoweringGlobalDataEEUlvE_N15ascend_nlohmann16json_abi_v3_11_26detail9exceptionEN15ascend_nlohmann16json_abi_v3_11_26detail11parse_errorEN15ascend_nlohmann16json_abi_v3_11_26detail16invalid_iteratorEN15ascend_nlohmann16json_abi_v3_11_26detail10type_errorEN15ascend_nlohmann16json_abi_v3_11_26detail12out_of_rangeEN15ascend_nlohmann16json_abi_v3_11_26detail23output_adapter_protocolIcEEN15ascend_nlohmann16json_abi_v3_11_26detail21output_string_adapterIcSsEESt23_Sp_counted_ptr_inplaceIN15ascend_nlohmann16json_abi_v3_11_26detail21output_string_adapterIcSsEESaIS4_ELN9__gnu_cxx12_Lock_policyE2EE   000102030405060708091011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798990001020304050607080910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989900010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899ƚpOܼw kAV<Ѝ,U1(\QFɦqaˋ#w"{mSx@I̮ Wζ]y<7VM6OH8oꖐ$:%˅t,φ4* 45<5*g8PD;?ȄkL'DŅT%Οk\b}$lۺd_ Xfl&ޓt |J|l_b%S04`?U&NZ~)p$wt帟ߦ}t_ϛpDk11eU%{?;+*\.Ӓsi$$Icd~̈Po ̼,eXѳ@ bx x9?{Η8$p\{2~S,h髤8m4E"&'O<'1cDȌ8eްLeǃTqB]\X,iM dpd'lJwmBtk}{x \|wyTwś[[=]S5Ȭ\*_F%94›\rξTSܷ1A"Lx\ӛ fS!{Z:0ܵ\S٨(SyncEventStage::kStageEnd)((all_event_infos_vec) != nullptr)((all_events_info) != nullptr)((all_gert_events_holder) != nullptr)((all_rt_events_holder) != nullptr)Found duplicated send event id %ld on node %s.(send_event_ids.insert(send_event_id).second)Found send event id %ld out of range %ld.(recive_event_ids.insert(recive_event_id).second)Found recive event id %ld out of range %ld.EvenId in nodes is not equal with event num %lld on model.(event_ids.size() == static_cast(event_num))(event_infos[i].HasInitialized())((CollectAllEventInfos(compute_graph, event_num, model_event_info)) == ge::GRAPH_SUCCESS)((CollectFirstSyncEventsInfo(compute_graph, first_sync_events)) == ge::SUCCESS)((CollectLastSyncEventsInfo(compute_graph, last_sync_events)) == ge::SUCCESS)((CollectLastResourceCleanEventsInfo(compute_graph, last_resource_clean_events)) == ge::SUCCESS)LoweringAccessMemCrossStreamCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidPrepareEventInputsCreateConstOfAllEventInfosoperator()CollectLastResourceCleanEventsInfoCollectLastSyncEventsInfoCollectFirstSyncEventsInfoCollectAllEventInfosCollectAndCreateGertEvents*ZN4gert2bg26CollectAndCreateGertEventsERKSt10shared_ptrIN2ge12ComputeGraphEERKNS_9ModelDescERNS_18LoweringGlobalDataERSt6vectorISC_INS0_9EventInfoESaISD_EESaISF_EEEUlvE_*ZN4gert2bg26CollectAndCreateGertEventsERKSt10shared_ptrIN2ge12ComputeGraphEERKNS_9ModelDescERNS_18LoweringGlobalDataERSt6vectorISC_INS0_9EventInfoESaISD_EESaISF_EEEUlvE0_*ZN4gert2bg23LoweringFirstSyncEventsERKSt6vectorINS0_9EventInfoESaIS2_EElRNS_18LoweringGlobalDataEEUlvE_*ZN4gert2bg22LoweringLastSyncEventsERKSt6vectorINS0_9EventInfoESaIS2_EElRNS_18LoweringGlobalDataEEUlvE_*ZN4gert2bg31LoweringLastResourceCleanEventsERKSt6vectorINS0_9EventInfoESaIS2_EElRNS_18LoweringGlobalDataEEUlvE_optiling_converter.cctiling_nodeBuildOpTilingOutputShapeOpTiling[%s:%d]%lu %s: ErrorNo: %u(%s) %sOptiling lowering failed result of empty tiling node name.Optiling is without attribute tiling_node_name[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not find real tilling node by node:%s sub graph:%s.Can not find real tilling node by name[%s:%d]%lu %s: ErrorNo: %u(%s) %sOpTiling Outputsize:%zu of node:%s is larger than expected:%u.Optiling node's outputsize is larger than expectedBuildOpTilingUnmanagedTensorDataGetOrCreateArgsInfosCreateArgsInfoDescCreateComputeNodeDescNodeAllocRtArgLoweringOpTilingbuild_tensor.cc((stream_id) != nullptr)((shape_chain) != nullptr)((gert_td) != nullptr)%s node info not exist%s dtype not exist, ((data_type) != nullptr)get data type failed((in_shape) != nullptr)((out_dims) != nullptr)reasonE19025] required by tensordtype: , output[], value: [not support dtypecontext->GetInputNum()context->GetOutputNum()(data_type_size > 0)((out_data) != nullptr)BuildTensorPureShapeBuildTensorStorageSplitTensorForOutputData((tensor_data_chain) != nullptr)((GetOutputDataType(context, out_data_type)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sIn the `always_zero_copy` mode, the output tensor and tensor data must be allocated by the calledThe output tensor and tensor data must be allocated by the called[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe output tensor memory size[%zu] is smaller than the actual size[%ld] required by tensor.The output tensor memory size[] is smaller than the actual size[((TensorUtils::RefTdToGtd(tensor->GetTensorData(), gert_allocator->GetStreamId(), *tensor_data)) == ge::SUCCESS)only support DT_INT32 and DT_INT64, but out_data_type is %s(out_data_type == ge::DataType::DT_INT32 || out_data_type == ge::DataType::DT_INT64)get data type size failed, data_type_size:%dGetShapeOutputValueBuildShapeTensorDataCreateOutputsGetOutputDataTypeBuildShapeTensorDataRefTdToGtdSplitTensorForOutputDataSplitTensorOutputsCreatorSplitTensorCreateBuildTensorOutputsBuildTensorcalc_tenorsize_from_shape.ccData type: , Shape: , Tensor size: shape or tensor size is null[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][TensorSizeByShape] shape_size[%ld], data_type[%s]storage shape or tensor size is nullCalcUnalignedTensorSizeFromStorageCalcUnalignedTensorSizeByShapecheck_shape.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[R2][Kernel][CheckOutShape]Context is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[R2][Kernel][CheckOutShape]Compute node is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[R2][Kernel][CheckOutShape]Storage shape of index:%zu is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[R2][Kernel][CheckOutShape]Output pointer is null.[%s:%d]%lu %s:Node[%s] check output empty result is:%d.CheckOutputShapesEmptycondition_calc.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find condition calc kernel as input kernel type is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sNo condition calc kernel func was registered for lower node type %sParam:kernel_func is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:kernel_func]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed get calc kernel func for node %s as input num is 0[%s:%d]%lu %s: ErrorNo: %u(%s) %sRun condition calc kernel func for node %s failedParam:gtd is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:gtd]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed create outputs for node %sCreateTensorDataOutputsBuildUnmanagedTensorDataConditionCalcFindKernelFunccopy_flow_launch.cc((src_storage_shape) != nullptr)[%s:%d]%lu %s:StreamCopyH2D, host addr %p, host tensor size %zu, device addr %p, alloc device size %zu((rtMemcpyAsync(mem_block->GetAddr(), tensor_size, tensor_data->GetAddr(), host_tensor_size, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)) == 0)(context->GetOutputNum() >= static_cast(CopyFlowLaunchOutputs::kAddress))[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput num is not matched, input start %zu, output num %zu, total input num %zuParam:input_num is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_num]null is invalid[%s:%d]%lu %s:host input num is %zu, output num is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %shost input num %zu, is not match output num %zu,Param:args is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args]null is invalid((args->UpdateMergedCopyInfo()) == ge::SUCCESS)((inputs_index_cvv) != nullptr)Param:src_storage_shape is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_storage_shape]null is invalid[%s:%d]%lu %s:The [%zu]th tensor data placement is %d, no need to optimize[%s:%d]%lu %s: ErrorNo: %u(%s) %sshape_size[%ld], data_type[%s][%s:%d]%lu %s:shape_size[%ld], data_type[%s], host_tensor_size[%ld], align_size[%zu]((CopyTensorToDevice(context, i)) == ge::SUCCESS)((inputs_index_cv) != nullptr)((args->UpdateHostInputArgs(host_input)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sunsupported copy form placement %d to device hbm((args->AlignHostInputSize()) == ge::GRAPH_SUCCESS)CopyFlowLaunchCopyTensorToDevicedata_const_output.cc((ret == ge::GRAPH_SUCCESS))[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s get zero copy bytes fail.[%s:%d]%lu %s: ErrorNo: %u(%s) %sKernel output index 0 is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to construct data, buffer size %zumemcpy_s verify fail, src size %zu, dst size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %smemcpy_s verify fail, src size %zu, dst size %zumemcpy_s err, src ptr %p size %zu, dst ptr %p size %zu, offset %zu, err %d[%s:%d]%lu %s: ErrorNo: %u(%s) %smemcpy_s err, src ptr %p size %zu, dst ptr %p size %zu, offset %zu, err %dmemcpy_s failed, copy size is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to memory copy, dest addr %u, src addr %u, buffer size %zuGeMemcpyConstOutputCreator(stream_num > 0)((events_chain) != nullptr)((rtEventRecord(rt_event, stream)) == 0)[%s:%d]%lu %s:[KernelTrace][%s]Sent event %ld RT event %p from stream %ld[%s:%d]%lu %s:Drop local-recycle block %p on stream %ld, the block has a newer version[%s:%d]%lu %s:[KernelTrace][%s][MEM]Send memory recycling event from stream %ld, event id %ld, address %p[%s:%d]%lu %s:[KernelTrace][%s][MEM]Send memory migration event from stream %ld, event id %ld, address %p[%s:%d]%lu %s:[KernelTrace][%s]Waited event %ld RT event %p at stream %ld((CallRtsWaitEvent(context, event, rt_event, stream, nullptr)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Ignore block %p in waited event space from stream %ldto %ld[%s:%d]%lu %s:[KernelTrace][%s][MEM]Wait memory recycling event at stream %ld, event id %ld, address %p((version_block.block->SyncLocalRecycleStatus(event.compile_time_event_info.logic_src_stream, event.compile_time_event_info.logic_dst_stream)) == ge::SUCCESS)[%s:%d]%lu %s:[KernelTrace][%s][MEM]Wait memory migration event at stream %ld, event id %ld, address %pFailed to birth recycle memory %p at stream %ld, block %p, birth stream %ld((allocator->BirthRecycle(block)) == ge::SUCCESS)((DoEvents(context)) == ge::GRAPH_SUCCESS)((block->SyncAllLocalRecycleStatus(block->GetBirthStreamId())) == ge::SUCCESS)((allocators->MutableData()[block->GetBirthStreamId()]->BirthRecycle(block)) == ge::SUCCESS)((allocators->MutableData()[i]->RecycleFreeMem()) == ge::SUCCESS)((event_ids_to_info) != nullptr)(ge::IntegerChecker::Compat(event_ids_to_info->GetSize()))[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to send events, rt events(%zu) num not enough, at least %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to send events, invalid logic event id %lldDoEventsDoEventsDoEventsFindNextForAllDoEventsLastWaitEventsWaitEventCallRtsWaitEventFindNextSendEventCallRtsSendEventCreateGertEvents((in_tensor_data) != nullptr)((in_chain) != nullptr)((out_chain) != nullptr)((td) != nullptr)PointFromInputsCreateIdentityAddrOutputsCreateIdentityShapeAndAddrOutputsIdentityShapeAndAddrIdentityAddrCreateIdentityShapeOutputsIdentityShape((op_infer_fun) != nullptr)compute_node_info is nullptrnode_type[The input original shapes : input storage shapes : context->GetInputNum:, input_shape_start_index:[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Failed to find infer shape kernel, input or output is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Failed to find infer shape kernel, node type %s((shapebuffer_addr) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Fail to alloc host memory for op[%s, %s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Fail to copy shape buffer data from device to host for op[%s, %s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Node[%s] output[%zu] dim_num=[%u] is greater than MaxDimNum[%zu]InferShape failed, node type %s, name %s, error-code %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]InferShape failed, node type %s, name %s, error-code %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Failed to trans shape to 5D when infer shape for node %s, type %s, error-code %uth's output tensor desc is nullptrth's output storage shape is nullptrTrace failed, input num < input_shape_start_index, th's input tensor desc is nullptrth's input storage shape is nullptr((output_td) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s fail to expand dims.[%s:%d]%lu %s:origin_format is the same as storage format[%s], skip transfer shape.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to transfer node %s output shape according format.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to transfer node %s %zu output shape according format.BuildInferShapeOutputsSetOutputShapeTransformOutputShapeTransformAllOutputsShapeInferShapeFindInferShapeFuncinfer_shape_compatible.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find infer shape kernel, node type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find v1 infer shape func, node type %s((compute_node_chain) != nullptr)(context->GetInputNum() >= other_inputs_size)((input_desc_in_context) != nullptr)((output_desc_in_context) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to update input shapes to Operator.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to infer shape on op %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOutput num on op %s is %zu, output num on context is %zu, not match.((output_shape_on_context) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to update output shapes to Context.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to transfrom output shapes.[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput num only has %zu inputs now, at least need %zu inputs, including infer_func and operator.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInput num on op %s is %zu, input num on context is %zu, not match.(!ge::MulOverflow(static_cast(op_desc->GetOutputsSize()), kShapeRangeOutputOfNode, size_of_output))[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to get output shape range from op desc.((infer_range_context->GetOutputShapeRange(i)) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to update output shapes range to Context.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to UnserializeOpDesc.Param:shape_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shape_tensor]null is invalidParam:tensor_range is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_range]null is invalidParam:shape_range_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shape_range_tensor]null is invalid((op) != nullptr)((infer_func) != nullptr)all_valid_input_desc.size()input_shapes_numoutput_shapes_numoutput_num_on_opinput_shape_min->GetDimNum()input_shape_max->GetDimNum()dummy((dummy_graph) != nullptr)((dummy_node) != nullptr)((out_op) != nullptr)Param:src_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_tensor]null is invalidParam:host_addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:host_addr]null is invalidParam:dst_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_tensor]null is invalidBuildInferShapeOutputsUpdateOutputShapeRangeToContextoperator()UpdateInputShapeRangeToOpDescCompatibleInferShapeRangeTransformOutputShapeTransformAllOutputsShapeUpdateOutputShapeToContextConvertRTTensorToGeTensoroperator()UpdateInputShapeToOpDescCompatibleInferShapeFindCompatibleInferShapeFuncBuildFindCompatibleInferShapeFuncOutputsUnSerializeOpDescCreateOpFromBufferBuildCreateOpOutputs*ZN4gert6kernel20CompatibleInferShapeEPNS_13KernelContextEEUlRKSt10shared_ptrIKN2ge4NodeEEmRS3_INS4_8GeTensorEEE_*ZN4gert6kernel25CompatibleInferShapeRangeEPNS_13KernelContextEEUlRKSt10shared_ptrIKN2ge4NodeEEmRS3_INS4_8GeTensorEEE_N2ge8OperatorESt15_Sp_counted_ptrIPN2ge8GeTensorELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge12ComputeGraphELN9__gnu_cxx12_Lock_policyE2EEmax or min is nullptr. max:, min:, min dim num: , input_range_start_index:input shape ranges : output shape ranges : ((min_shape) != nullptr)((max_shape) != nullptr)((shape_range) != nullptr)dim num not match. max dim num: [%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Failed to find infer shape range kernel, input or output is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Failed to find infer shape range kernel, node type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Failed to find infer shape range kernel for node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]infer shape range failed, node type %s, name %s, error-code %uTrace failed, input num < input_range_start_index, th's input shape range is nullptr((out_tensor_range) != nullptr)th's output shape range is nullptrnode_output_num * kShapeRangeOutputOfNode((min_shape_chain) != nullptr)((max_shape_chain) != nullptr)((shape_range_chain) != nullptr)BuildRangesCreateRangesInferShapeRangeFindInferShapeRangeFuncBuildInferShapeRangeOutputsTransformOutputShapeTransformAllOutputsMaxShapememory_copy.cc((host_block) != nullptr)((src_info) != nullptr)((dest_mem_info) != nullptr)((device_gtd) != nullptr)((out_tensor) != nullptr)CopyH2DMakeSureTensorAtHostCalcStringTensorSizeDeviceHbmHostDDRDeviceP2pUnknownrtMemcpyAsyncWithoutCheckKind(dst_tensor_data->GetAddr(), tensor_size, src_tensor_data->GetAddr(), tensor_size, RT_MEMCPY_DEVICE_TO_DEVICE, stream)[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid size %zu, failed to padding to %zu(CalcSize(tensor_size, alloc_size))rtMemcpyEx(host_block->GetAddr(), static_cast(tensor_size), tensor_data_ptr->GetAddr(), static_cast(tensor_size), RT_MEMCPY_DEVICE_TO_HOST)(CalcSize(tensor_data_size, alloc_size))rtMemcpy(host_block->GetAddr(), static_cast(tensor_data_size), src_gtd->GetAddr(), tensor_data_size, RT_MEMCPY_HOST_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %ssink data is invalid. src_size[%zu], dest_size[%zu]rtMemcpy(dest_addr, dest_size, src_addr, src_size, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][String] data_type[%d] is not DT_STRING[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][String]src tensor size [%zu] is less than calc string head size [%zu]((host_addr_holder) != nullptr)[%s:%d]%lu %s:[Calc][String]CopyD2H, device addr %p, host addr %p, tensor size %zu, alloc size %zu((DoRtStreamSyncWithTimeout(stream)) == ge::SUCCESS)rtMemcpyEx(host_mem->GetDataAddress(), static_cast(tensor_size), tensor_data->GetAddr(), static_cast(tensor_size), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][String]src tensor size [%zu] is less than calc string real size [%zu]((string_tensor_size_ptr) != nullptr)((CalcStringTensorSize(tensor_data, stream, storage_shape, datatype, *string_tensor_size_ptr)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:[Calc][String], tensor_size is %zu, aline_size is %zu(CalcSize(tensor_desc.tensor_size, alloc_size))((CalcUnalignedTensorSizeByShape(tensor_desc.storage_shape->GetStorageShape(), tensor_desc.data_type, unaligned_tensor_size)) == ge::GRAPH_SUCCESS)((CalcStringTensorSize(tensor_desc.tensor_data, stream, tensor_desc.storage_shape, tensor_desc.data_type, unaligned_tensor_size)) == ge::GRAPH_SUCCESS)rtMemcpyAsync(mem_block->GetAddr(), alloc_size, tensor_desc.tensor_data->GetAddr(), unaligned_tensor_size, copy_direction, stream)[%s:%d]%lu %s:[KernelTrace][%s][MEM]StreamCopy, src addr %p, src tensor size %zu, src placement %s, dst addr %p, alloc device size %zu, dst placement %s((storage_tensor_desc.tensor_data) != nullptr)((storage_tensor_desc.storage_shape) != nullptr)((l2_allocator->MoveL2ToL1(msb)) == ge::SUCCESS)[%s:%d]%lu %s:Zero copy takes effect, output addr:%lx[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][TensorSizeByShape] shape_size[%ld], data_type[%d][%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy output tensor data to the given buffer, given buffer size %zu is less than output tensor size %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy output tensor data to the given buffer, output tensor data size %zu is less than copy size size %ld, src_address: %p[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy output tensor to the given buffer, do not support the copy direction, from %s(%d) to %s(%d)rtMemcpy(dst_address, out_tensor.GetTensorData().GetSize(), src_address, copy_size, copy_type)((rtMemcpyAsyncWithoutCheckKind(dst_address, out_tensor.GetTensorData().GetSize(), src_address, copy_size, copy_type, stream)) == 0)static_cast(MakeSureTensorAtDeviceInputs::kAddrAndLengthStart) + (copy_num * kSizeOfCopyToDevice)((GetStorageTensorDescByIndex(context, i, storage_tensor_desc)) == ge::GRAPH_SUCCESS)((CopyTensorDataToD(storage_tensor_desc, gert_allocator, stream, out_tensor_data, context)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:The [%zu]th tensor data placement is %s, dst placement is %s, no need to do copy[%s:%d]%lu %s: ErrorNo: %u(%s) %sunsupported copy form placement %s to %sstatic_cast(MakeSureTensorAtHostInputs::kAddrAndLengthStart) + (copy_num * 2U)[%s:%d]%lu %s:The [%zu]th tensor data placement is %d, no need to do D2H[%s:%d]%lu %s:StreamCopyD2H, device addr %p, host addr %p, tensor size %zu, alloc size %zurtMemcpyEx(host_block->GetAddr(), static_cast(tensor_size), tensor_data->GetAddr(), static_cast(tensor_size), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %sunsupported copy form placement %d to hostSinkWeightDataCalcStringTensorSizeEnsureTensorAtOutMemoryTensorToOutCopyD2DCopyTensorDataH2HMakeSureTensorAtDeviceMakeSureTensorAtHostCopyH2DGetStorageTensorDescByIndexCopyTensorDataToDCalcStringTensorSizeCalcSizeCopyD2H*N4gert12_GLOBAL__N_113PlacementBaseE*N4gert12_GLOBAL__N_118PlacementDeviceHbmE*N4gert12_GLOBAL__N_118PlacementDeviceP2pE*N4gert12_GLOBAL__N_113PlacementHostE((notify_num) != nullptr)notify.ccCreateNotifies[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get rts notify from notify_num %ld, rts notify num is not enough(%zu)[%s:%d]%lu %s:[KernelTrace][%s]Get rts notify %p from logical notify %lldCreateNotifies((av) != nullptr)op_tiling_kernel.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed create addr outputs at index:%u for node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed create shape outputs at index:%u for node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet tilling data nullptr result for build output shape failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sData size:%zu is overflow to construct storage shape.[%s:%d]%lu %s: ErrorNo: %u(%s) %sShape of tiling data output is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sIndex:%u of input is a invalid nullptr of Optiling(0-data 1-key 2-blockdim 3-cond).[%s:%d]%lu %s: ErrorNo: %u(%s) %sIndex:%u of output is a invalid nullptr of Optiling(0-data 1-key 2-blockdim 3-cond).[%s:%d]%lu %s: ErrorNo: %u(%s) %skOutputTilingCond value:%d is invalid which should be >= 0.((BuildOpTilingTensorDataInner(input_addr, i, context)) == ge::SUCCESS)BuildOpTilingOutputShapeBuildOpTilingUnmanagedTensorDataBuildOpTilingTensorDataInnerCreateOpTilingShapeOutputsCreateTensorDataOutputs((platform_holder) != nullptr)((out_platform_holder) != nullptr)((core_type_holder) != nullptr)[%s:%d]%lu %s:Set core type to %s.AppendCoreTypeToPlatformGetPlatformInfort_model_desc.ccGetFileConstantWeightDirGetSpaceRegistryrt_session.cc((session_id_ptr) != nullptr)GetSessionIdsink_node_bin.cc((bin_handle) != nullptr)((stub_func) != nullptr)((kernel_name) != nullptr)((stub_name) != nullptr)((metadata) != nullptr)((prefix) != nullptr)((bin_key) != nullptr)((bin_data_holder) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][SinkFFTSAICoreNodeBin] Register kernel failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][SinkFFTSAICoreNodeBin] Flush data is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][SinkFFTSAICoreNodeBin] get none tail start pc failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][SinkFFTSAICoreNodeBin] get tail start pc failed.[%s:%d]%lu %s:Sink bin get pc[%lx][%lx].[%s:%d]%lu %s:start parse kernelinfo: functionInfoNum: %u[%s:%d]%lu %s:mixType is %u, prefetchCnt is %u pcAddr is Ox%x[%s:%d]%lu %s:find invalid mixType %u with kernel num is 1[%s:%d]%lu %s:aic mixType is %u, prefetchCnt is %u pcAddr is Ox%lx[%s:%d]%lu %s:aiv mixType is %u, prefetchCnt is %u pcAddr is Ox%lxrtKernelGetAddrAndPrefCnt(ctx.bin_handler, ctx.tiling_key, ctx.kernel_unique_ids_addr, ctx.flag, &addr, &prefetch_cnt)rtKernelGetAddrAndPrefCnt(ctx.bin_handler, ctx.tail_tiling_key, ctx.kernel_unique_ids_addr, ctx.flag, &tail_addr, &tail_prefetch_cnt)[%s:%d]%lu %s:Get mix node with flag: %u prefix:%s pc addr:%p pre_cnt:%u.rtKernelGetAddrAndPrefCntV2(ctx.bin_handler, ctx.tiling_key, ctx.kernel_unique_ids_addr, ctx.flag, &kernel_info)[%s:%d]%lu %s:Get mix node with flag: %u prefix:%s.rtKernelGetAddrAndPrefCntV2(ctx.bin_handler, ctx.tail_tiling_key, ctx.kernel_unique_ids_addr, ctx.flag, &tail_kernel_info)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][SinkFFTSAICoreNodeBin] Sink ret is null.[%s:%d]%lu %s:Get Mix pc with num %u, task_type %u, key:%u/%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][GetMixL2AddrAndPrefCnt] No bin handle.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSinkNodeBinWithoutHandle para check failed[%s:%d]%lu %s:Register static kernel size %lu, node %s, stub %s((rtDevBinaryRegister(bin_data, &bin_handle)) == 0)((rtMetadataRegister(bin_handle, metadata)) == 0)((rtFunctionRegister(bin_handle, kernel_unique_ids_addr, stub_name, kernel_name, 0U)) == 0)((rtGetFunctionByName(stub_name, stub_func)) == 0)rtKernelGetAddrAndPrefCnt(bin_handle, 0U, kernel_unique_ids_addr, RT_STATIC_SHAPE_KERNEL, &addr, &prefetch_cnt)[%s:%d]%lu %s:Get static pc addr:%lx pre_cnt:%u.[%s:%d]%lu %s:[%s][%s]Sink static auto kernel with num[%zu].[%s:%d]%lu %s:Get [%zu] kernel[%s] pc addr:%lx pre_cnt:%u.[%s:%d]%lu %s:register for kernel:%s prefix %s stub_name %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sSinkNodeBinWithHandle para check failed[%s:%d]%lu %s:Register dynamic kernel empty hash size %lu, node %s((rtRegisterAllKernel(bin_data, bin_handle)) == 0)[%s:%d]%lu %s:Register dynamic kernel size %lu, node %s, hash %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[kernel][SinkFFTSAICoreNodeBin] Bin data is nullptr.((rtRegisterAllKernel(bin_data, ret_handle)) == 0)rtRegisterAllKernel(bin_data, ret_handle)SinkMixStaticNodeBinCreateMixSinkRetGetMixAddrAndPrefCntGetKernelFuncInfoByKernelTypeGetMixDynamicPCParseKernelInfoSinkMixDyNodeBinSinkFFTSStaAutoNodeBinSinkFFTSStaManualNodeBinCreateSinkRetGetFFTSAICorePcAndPrefSinkFFTSAICoreNodeBinSinkNodeBinWithHandleSinkNodeBinWithoutHandle((stream_num) != nullptr)stream.ccSplitRtStreams[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get rts stream from stream_num %ld, rts stream num is not enough(%zu)[%s:%d]%lu %s:[KernelTrace][%s]Get rts stream %p from logical stream %lld, rts stream_id: %dSplitRtStreams[%s:%d]%lu %s: ErrorNo: %u(%s) %s[BuildTilingOutputs] para check failed, node_type %p, tiling_data_av %p, workspace_av %p[%s:%d]%lu %s: ErrorNo: %u(%s) %s[BuildTilingOutputs] para check failed, tiling_key %p, atomic_clean_flag %p, block_dim %p((input_chain) != nullptr)((output_chain) != nullptr)((workspace_av) != nullptr)DefaultImpltiling_parsetiling((*tiling_data) != nullptr)compile_info_creator((tiling_ws) != nullptr)((known_ws) != nullptr)((ws_concat) != nullptr)((tiling_fun) != nullptr)TilingData size: bytes, TilingData: [%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to tiling parse, the node type is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to tiling parse, the registry is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find func by type %s, func_name %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[BuildTilingParseOutputs] para check failed node_type %s(tiling_workspaces.size() <= known_workspaces.size())[%s:%d]%lu %s:Tiling workspace size: %zu, known workspace size: %zu.[%s:%d]%lu %s:Concat workspace size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Tiling] para check failed input_num %ld(!ge::RoundUpOverflow(workspace->MutableData()[i], kAiCoreWorkspaceAlignment, workspace->MutableData()[i]))((TilingProc(context, tiling_func_result)) == ge::SUCCESS)((TilingProc(context, op_tiling_result)) == ge::SUCCESS)((CalcAlignedSizeByShape(input_shape->GetStorageShape(), input_data_type, tensor_size)) == ge::SUCCESS)[%s:%d]%lu %s:[TilingAppendMemCheck]Append input tensor size, index: %zu, tensor_size: %llu((CalcAlignedSizeByShape(output_shape->GetStorageShape(), output_data_type, tensor_size)) == ge::SUCCESS)[%s:%d]%lu %s:[TilingAppendMemCheck]Append output tensor size, index: %zu, tensor_size: %llu[%s:%d]%lu %s:[TilingAppendMemCheck]Append workspace size, index: %zu, workspaces: %lld[%s:%d]%lu %s:[TilingAppendMemCheck]Tiling data need append memcheck data in offset: %zu((*tiling_data)->GetDataSize() <= ori_param_size)(((*tiling_data)->Append(tiling_vec.data(), tiling_vec.size())) == ge::SUCCESS)[%s:%d]%lu %s:[TilingAppendMemCheck]Append tiling data size: %lld[%s:%d]%lu %s:[TilingAppendMemCheck]tiling data total size: %lldBuildTilingOutputsTilingAppendMemCheckBuildTilingOutputsAppendMemCheckFallibleTilingTilingFillTilingInfoAlignWorkspaceSizesTilingProcTilingAppendWorkspaceBuildTilingOutputsAppendWorkspaceFindTilingFuncBuildTilingParseOutputsTilingParsetiling_compatible.cc((op_parse_fun) != nullptr)((tiling_func) != nullptr)((compile_info) != nullptr)EZ9999((tiling_version) != nullptr)((tiling_fun_ptr) != nullptr)((op_dsec) != nullptr)((op_compile_info_ptr) != nullptr)((compile_info_key) != nullptr)((compile_info_json) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to tiling parse, not support v3 or v4.[%s:%d]%lu %s:Fail to call op tiling function v4 of op[%s, %s].[%s:%d]%lu %s:Do optiling v4 succeed. op_name:%s, op_type:%s.[%s:%d]%lu %s:Fail to call op tiling function v3 of op[%s, %s].[%s:%d]%lu %s:Do optiling v3 succeed. op_name:%s, op_type:%s.[%s:%d]%lu %s:Do optiling function is not found by op type[%s].[%s:%d]%lu %s:Optiling function old version of op type[%s] is not found by Autotiling.Optiling function old version is not found. op_type[%s].((tiling_parse_fun_ptr) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s not support v3 or v4 tiling.[%s:%d]%lu %s: ErrorNo: %u(%s) %sPara check failed, tiling key null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sPara check failed, block_dim null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sPara check failed, atomic flag null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sPara check failed, tiling condition null.((tiling_data_in_context) != nullptr)(tiling_data_in_context->GetCapacity() > tiling_data_in_context->GetDataSize())(!ge::RoundUpOverflow(static_cast(workspace[i]), kAiCoreWorkspaceAlignment, workspace_data[i]))((InnerCompatibleTiling(context, tiling_func_result)) == ge::SUCCESS)((InnerCompatibleTiling(context, op_tiling_result)) == ge::SUCCESS)BuildTilingOutputsFallibleCompatibleTilingCompatibleTilingGetIONumOfOpUpdateIOShapeToOpConvertRTTensorToGeTensorInnerCompatibleTilingUpdateTilingOutputsToContextTilingV3TilingV4CompatibleTilingParseTilingParseV3TilingParseV4FindCompatibleTilingFunc*ZN4gert6kernel21InnerCompatibleTilingEPNS_13KernelContextERjEUlRKSt10shared_ptrIKN2ge4NodeEEmRS4_INS5_8GeTensorEEE_PFSt10shared_ptrIN8optiling15CompileInfoBaseEERKN2ge8OperatorERKNS3_12AscendStringEEPFbRKN2ge8OperatorESt10shared_ptrIN8optiling15CompileInfoBaseEERNS4_5utils9OpRunInfoEEPFPvRKN2ge8OperatorERKNS0_12AscendStringEEPFbRKN2ge8OperatorEPKvRN8optiling5utils9OpRunInfoEEvariable.cc((var_manager) != nullptr)Var manager not found when split variable %sVar manager %p get variable '%s' shape and memory failed((var_manager->GetVarShapeAndMemory(var_id, *shape, tmp_td)) == ge::SUCCESS)((TensorUtils::ShareTdToGtd(tmp_td, *gert_allocator, *gtd)) == ge::SUCCESS)SplitVariableCreateVariableOutputscontrol_kernel.cc((signal) != nullptr)((tensor_addr) != nullptr)watcher->watch_numnode->GetOutNodesPtr().size()[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute SwitchNotifyKernel, signal is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid branch index %u, receiver num %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to generate index for case, tensor or index is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to generate index for case, at least one default branch[%s:%d]%lu %s:The branch index %d is less than 0 or reach the max num of branch num(%u), select the default branch %u(signal->receiver_num > branch_index)Unsupported cond data type %s(%zu)(numeral_dtype < kBoolConverter.size())Failed to generate index as tensor data is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to generate index for if, no tensor or index inputFailed to get cond state for If((GetCondState(tensor->GetAddr(), tensor->GetShape(), tensor->GetDataType(), cond_state)) == ge::SUCCESS)Failed to get cond state for While((GetCondState(tensor->GetAddr(), *shape, data_type, *out)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed get attr '%s' from node %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed copy watcher address from src buffer((memcpy_s(watcher->node_ids, watchers_num * sizeof(NodeIdentity), optimized_watcher.data(), optimized_watcher.size() * sizeof(NodeIdentity))) == EOK)CondSwitchNotifyKernelCreateSwitchNotifyOutputsSwitchNotifyKernelGenCondForWhileGenIndexForCaseGetCondStateGenIndexForIfFbPKvEPFbPKvE4= file_constant_info.file_length)[%s:%d]%lu %s:copy %zu bytes to memory.[%s:%d]%lu %s: ErrorNo: %u(%s) %scopy failed, result code = %d.[%s:%d]%lu %s:used memory is %zu.[%s:%d]%lu %s:Get file constant weight dir[%s].File constant weight dir[%s] exists, while file name from location is empty.(file_constant_weight_dir.empty())Get file constant info from private attr. File path: [%s:%d]%lu %s:Get fileconstant output addr from var manager.((var_mgr->GetVarShapeAndMemory(var_id, shape, tmp_td)) == ge::SUCCESS)[%s:%d]%lu %s:Get fileconstant output addr by allocator malloc.((GetFileConstantInfoFromPrivateAttr(context, file_constant_info)) == ge::GRAPH_SUCCESS)((file_name_holer) != nullptr)[%s:%d]%lu %s:Get file constant weight path %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]Get nullptr %s[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu, tensor size %zu((AllocHbmMemForFileConstant(left_size, context)) == ge::GRAPH_SUCCESS)Failed to copy data to file constant.((CopyWeightFromFileAsync(output_addr, file_constant_info, left_size, rt_stream)) == ge::GRAPH_SUCCESS)CopyWeightFromFileAsyncAllocHbmMemForFileConstantGetFileConstantInfoFromPrivateAttrFileConstantKernelCreateFileConstantOutputgather_shapes_kernel.cc%s axes not exist, ((*cvv) != nullptr)((cv) != nullptr)cv->GetSize()((out_type == ge::DT_INT32) || (out_type == ge::DT_INT64))((GetAxes(context, &cvv)) == ge::GRAPH_SUCCESS)(cvv->GetSize() <= Shape::kMaxDimNum)input_index[%lu] must less than input num[%zu], i: %zu, axes: %sinput_index < context->GetInputNum()dim_index[%lu] must less than input shape dim number[%zu], i: %zu, axes: %sdim_index < in_shape->GetOriginShape().GetDimNum()dim != Shape::kInvalidDimValue((SetOutput(output_data, cvv->GetSize(), out_tensor_data->GetAddr())) == ge::GRAPH_SUCCESS)((SetOutput(output_data, cvv->GetSize(), out_tensor_data->GetAddr())) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sonly support DT_INT32 and DT_INT64, but out_data_type is %s(ge::IntegerChecker::Compat(output_data[i]))BuildGatherShapesOutputSetOutputSetOutputGetOutputDataTypeGetAxesGatherShapesKernel(output_shape_dim == 1UL)tensor data is: [(input_size == (input_and_unknown_dim_index->GetSize() + static_cast(GetCurDynamicShapeInput::kEnd)))multi_batch_shape_data_kernel.cc(unknown_dim_index_size > 0UL)(unknown_dim_index_data[j] < static_cast(shape.GetDimNum()))(index * sizeof(int32_t) < tensor_data->GetSize())(!ge::MulOverflow(static_cast(data_type_size), static_cast(output_shape.GetDim(0UL)), malloc_buffer_size))(!ge::AddOverflow(malloc_buffer_size, sizeof(GertTensorData), malloc_buffer_size))PrintCurDynamicShapeBuildCurDynamicShapesOutputGetCurDynamicShapeFuncrank_kernel.cc(!ge::AddOverflow(data_type_size, sizeof(GertTensorData), data_type_size))BuildRankOutputRankKernelsize_kernel.cc((GetSizeOutputDataType(context, out_data_type)) == ge::GRAPH_SUCCESS)(!ge::AddOverflow(data_size, sizeof(GertTensorData), data_size))((SetOutput(shape_size, out_tensor_data->GetAddr())) == ge::GRAPH_SUCCESS)((SetOutput(shape_size, out_tensor_data->GetAddr())) == ge::GRAPH_SUCCESS)(ge::IntegerChecker::Compat(shape_size))BuildSizeOutputSetOutputSetOutputGetSizeOutputDataTypeGetShapeSizeKernelComputegert_tensor_data.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to wander for tensor data %p, the same stream %ldFailed to wandering tensor data %p, the dst data need free, but stream not match %ld, %ld(dst_stream_id == GetStreamId())((reinterpret_cast(gert_mem_block_) ->NewAccessStream(other.stream_id_, stream_id_)) == ge::SUCCESS)WanderFrom(num > 0U)((davinci_model) != nullptr)[%s:%d]%lu %s:Total davinci model num: %zu.[%s:%d]%lu %s:Success to call all davinci models' finalize.DavinciModelFinalizerdavinci_model_kernel.ccmap::atThere is no weight info.((weight_tensor) != nullptr)((outer_fm_mem) != nullptr)DavinciModelCreateDavinciModelCreateV2DavinciModelUpdateWorkspacesDavinciModelGetRunAddress[%s:%d]%lu %s:Update model %s data %s index to %uge::AttrUtils::SetInt(op_desc, ge::ATTR_NAME_INDEX, parent_index)((ge_model_holder) != nullptr)Param:context is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context]null is invalidParam:davinci_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:davinci_model]null is invalidParam:type_offset_pair is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:type_offset_pair]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %scan not find offset[%ld] in fileconstant_addr_mapping[%s:%d]%lu %s: ErrorNo: %u(%s) %sget run address is zero, type:%u, offset:%ldget hbm fixed_feautre_memory tensor data failed.get hbm fixed_feautre_memory addr failed.get p2p fixed_feautre_memory tensor data failed.get p2p fixed_feautre_memory addr failed.[%s:%d]%lu %s:[KernelTrace][%s][MEM] fixed_feature_memory hbm_addr %p, hbm_size %zu, p2p_addr %p, p2p_size %zuParam:stream is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:stream]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sdavinci model init model stream:%p failed.Param:output_num is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_num]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sdavinci model update known node args failed.Param:ge_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_model]null is invalid((UpdateModelGraphInputIndex(ge_model->GetGraph())) == ge::SUCCESS)Param:davinci_model_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:davinci_model_ptr]null is invalidParam:session_id_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:session_id_ptr]null is invalid((davinci_model_ptr->InitRuntimeParams()) == ge::SUCCESS)Param:space_registry is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:space_registry]null is invalid[%s:%d]%lu %s:Get file constant weight dir [%s] for davinci model.Param:reusable_stream_allocator is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:reusable_stream_allocator]null is invalid((davinci_model_ptr->InitVariableMem()) == ge::SUCCESS)Param:weight_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:weight_tensor]null is invalid((davinci_model_ptr->Init(param, outer_fm_mem->GetAddr())) == ge::SUCCESS)[%s:%d]%lu %s:create davinci model successfully, model id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sdavinci model init variable memory failed((InitParam(context, param)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sdavinci model init failed[%s:%d]%lu %s: ErrorNo: %u(%s) %smodel update args failed. ret = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %smodel execute failed. ret = %d((ConstructOutputData(context, output_data)) == ge::SUCCESS)((davinci_model->CopyOutputData(output_data)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %smemory_type[0x%lx] does not exist[%s:%d]%lu %s: ErrorNo: %u(%s) %sdavinci model update memory base failed. memory type[0x%lx]((davinci_model.UpdateHbmFmMemBases(hbm_fm_mem_bases)) == ge::SUCCESS)Param:workspace_num is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:workspace_num]null is invalidParam:memory_type is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:memory_type]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %supdate memory base failed, memory type size[%zu].DavinciModelCreateV2GetRunMemoryGetRunAddressCreateGetRunAddressOutputsDavinciModelExecuteDavinciModelUpdateWorkspacesConstructOutputDataDavinciModelUpdateArgsUpdateExMemBaseUpdateMemBaseUpdateModelGraphInputIndexGetGeModelDavinciModelCreateInitParamN2ge10ModelParamEdavinci_model is nullptr, rt stream num: , list: [, weight_base: , weight_size: GetRunAddress num: mem_base_type: , offset: , size: , run_address: . [type: , address: , inputs address and size: [davinci model init finish. runtime_model_id: davinci_model or workspace_num is nullptrdavinci model update workspaces address, size: davinci_model or input_num or output_num is nullptrmodel execute, runtime_model_id: ], outputs address and size: [((reusable_stream_allocator) != nullptr)reusable_stream_allocator_kernel.cc[%s:%d]%lu %s:Create reusable_stream_allocator which expects to reuse streams among all davinci modelsBuildReusableStreamAllocatorOutputsai_core_launch_kernel.ccrt_ret((io_arg) != nullptr)(input_i < io_num)Index out of range[%s:%d]%lu %s:args size is %u(input_i < (*io_num))((handle) != nullptr)((node_info) != nullptr)((block_dim) != nullptr)((cfg) != nullptr)Launch function arguments: Handle , block dim , args , schedule mode: args-args address base , args-args-size (address/length): (with tensor list behind.), Compiled Args(No compiled argsInput/Output addresses: , Input/Output sizes: Workspace addresses: No workspacesTiling address offset , Tiling data( bytes): No tiling dataHost input data: Host input info: ArgsCompiledArgsArgsInputsAddrArgsOutputsAddrShapeBufferAddrWorkspacesAddrTilingDataAddrOverflowAddrTilingData[%s:%d]%lu %s:Mix vector core report profiling data successParam:block_dim is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:block_dim]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[PARAM][INVALID] Input index[%zu], expect in range[0, %zu).[%s:%d]%lu %s:Dynamic idx:%d with num %u, report val:%lx.[PARAM][INVALID] Input index[%zu], expect in range[0, %zu).[%s:%d]%lu %s:Report info idx:%zu val:%lx.[%s:%d]%lu %s:Before calc mix-type[%u] blk[%ld] ai_core[%ld] all_core[%ld].[%s:%d]%lu %s:After calc sub_offset[%ld] main_blk_dim[%ld] sub_blk_dim[%ld].rtKernelLaunchWithHandleV2(launch_args.handle, launch_args.tiling_key, mix_para.main_blk_dim, launch_args.arg_ex, launch_args.smDesc, launch_args.stream, launch_args.cfgInfo)rtKernelLaunchWithFlagV2(launch_args.handle, mix_para.main_blk_dim, launch_args.arg_ex, launch_args.smDesc, launch_args.stream, launch_args.flags, launch_args.cfgInfo)Param:sub_stream is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sub_stream]null is invalidParam:rt_notify1 is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:rt_notify1]null is invalidParam:rt_notify2 is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:rt_notify2]null is invalid[%s:%d]%lu %s:Get runtime notufy[%p][%p] streams[%p][%p].rtNotifyRecord(rt_notify1, launch_args.stream)rtNotifyWait(rt_notify1, sub_stream)((SaveAicoreL0ExceptionDump(io_args_info, io_num, context, addr_start)) == ge::GRAPH_SUCCESS)rtVectorCoreKernelLaunchWithHandle(launch_args.handle, launch_args.tiling_key, mix_para.sub_blk_dim, launch_args.arg_ex, launch_args.smDesc, sub_stream, launch_args.cfgInfo)rtVectorCoreKernelLaunch(launch_args.handle, mix_para.sub_blk_dim, launch_args.arg_ex, launch_args.smDesc, sub_stream, launch_args.flags, launch_args.cfgInfo)rtNotifyRecord(rt_notify2, sub_stream)rtNotifyWait(rt_notify2, launch_args.stream)[%s:%d]%lu %s:Mix vector core launch main/sub block dim [%ld][%ld] success[%s:%d]%lu %s:host input info num is %u, args size is %uInput index[%zu], expect in range[0, %zu).[%s:%d]%lu %s:Arg id[%zu] set addr[%lx] with offset[%zu].Param:io_shape is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:io_shape]null is invalid((SaveAicoreL0ExceptionDump(io_args_info, *io_num, context, addr_start)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to launch kernel with handlertKernelLaunchWithFlagV2(handle, *block_dim, args->GetBase(), nullptr, stream, 0U, cfg)(clean_idx < clean_workspaces->GetSize())stream or handle or block_dim or args is nullptrLaunch args-args addresses info(Will not pass to the launch func): Param:workspace is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:workspace]null is invalidParam:workspace_addrs_data[i] is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:workspace_addrs_data[i]]null is invalid[PARAM][INVALID] Arg offset[%zu], expect in range[0, %u).(io_arg_offset < base.argsSize)args before execute: AtomicAiCoreLaunchKernelWithFlagFillAtomicAiCoreProfilingInfoAiCoreLaunchMixKernelWithFlagAiCoreLaunchKernelWithFlagFillMixVectorProfilingInfoLaunchMixMainTaskCalcMixTaskParaByTypeProcMixVectorCoreTaskAiCoreLaunchMixKernelWithHandleAiCoreLaunchKernelWithHandleAicoreHandleUpdateGeExceptionDumpInfoUpdateAtomicArgsSetIoAddrUpdateBaseArgsSizeUpdateArgsGetIoArgByIndexSaveAicoreL0ExceptionDumpUpdateOverflowAddrffts_plus_launch_task.ccidx:[]=[0x((host_task_info) != nullptr)((dev_task_info) != nullptr)((ori_desc_buf) != nullptr)RT_ERROR_NONE[%s:%d]%lu %s:No need to launch this task.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch_kernel][FFTSPlusTaskLaunch]Input value ptr is nullptr.[%s:%d]%lu %s:FFTS launch task with offset:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch_kernel][FFTSPlusTaskLaunch]Failed to launch ffts plus task.[%s:%d]%lu %s:========Dump FftsPlusTask-begin-context, descBufLen =%lu========[%s:%d]%lu %s:Dump FftsPlusTask-The %zu context: [%s][%s:%d]%lu %s:========Dump FftsPlusTask-end-context========[%s:%d]%lu %s:Desc buff base:%lx offset:%zu, desc_buf_len:%zu.ge::rtFftsPlusTaskLaunchWithFlag(&host_task_info->rt_task_info, stream, dump_flag)[%s:%d]%lu %s:Update descbuf to origin:%lx.LaunchFFTSPlusTaskNoCopyFFTSPlusTaskLaunchDumpFftsPlusTaskrt_kernel_launch_args_ex.cc((args_info) != nullptr)(node_desc.ArgsCountValid())(rectified_arg_offset >= 0)(rectified_data_offset >= 0)(dst_len_left >= tensor_size)]: Io args info[]: arg offset[], start index[], arg num[], is input[], is need merged copy[], folded_first[.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[PARAM][INVALID] Index[%zu], expect less than args info num[%zu](!ge::AddOverflow(merged_copy_size, args_info->dyn_desc.group_size, merged_copy_size))[%s:%d]%lu %s:Node back fill l2 addr num is %zu.(args_desc.SetSize(ArgsType::kArgsCompiledArgs, node_desc.compiled_args_size))(args_desc.SetSize(ArgsType::kArgsInputsAddr, args_info_desc.GetValidInputArgsNum() * sizeof(TensorAddress)))(args_desc.SetSize(ArgsType::kArgsOutputsAddr, args_info_desc.GetValidOutputArgsNum() * sizeof(TensorAddress)))(args_desc.SetSize(ArgsType::kShapeBufferAddr, node_desc.need_shape_buffer ? sizeof(TensorAddress) : 0U))(args_desc.SetSize(ArgsType::kWorkspacesAddr, node_desc.workspace_cap * sizeof(TensorAddress)))(args_desc.SetSize(ArgsType::kTilingDataAddr, sizeof(TensorAddress)))(args_desc.SetSize(ArgsType::kOverflowAddr, node_desc.need_overflow ? sizeof(TensorAddress) : 0U))(TilingData::CalcTotalSize(node_desc.max_tiling_data, tiling_data_size) == ge::GRAPH_SUCCESS)(args_desc.SetSize(ArgsType::kTilingData, tiling_data_size))((ParseMergedCopyInfoFromArgsInfo(args_info_desc, back_fill_secondary_addr_num, merged_copy_size)) == ge::SUCCESS)(!ge::AddOverflow(kMaxHostInputDataLen + kHostInputDataAlginSize, merged_copy_size, host_input_data_size))(args_desc.SetSize(ArgsType::kHostInputData, host_input_data_size))(!ge::AddOverflow(node_desc.input_num, back_fill_secondary_addr_num, host_input_info_num))(args_desc.SetSize(ArgsType::kHostInputInfo, host_input_info_num * sizeof(rtHostInputInfo_t)))(!ge::AddOverflow(sizeof(RtKernelLaunchArgsEx), total_size, total_size))(!ge::AddOverflow(total_size, args_desc.GetArgsTotalSize(), total_size))[%s:%d]%lu %s:tiling data offset %zu, tiling data size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %stiling data size %zu, arg end offset %zu, tilling data offset %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %supdate host input data offset failed, tiling offset %zu, tiling data size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %shost input data offset %zu, host input data len %zu, host input info offset %zu(!ge::AddOverflow(cur_host_input_data_offset, (0 - pre_host_input_data_offset), relative_offset))[%s:%d]%lu %s: Before tiling data update, host input offset:%d. After tiling data update, host input offset:%d. Host input offset shift:%d.(!ge::AddOverflow(static_cast(io_arg->arg_offset), relative_arg_offset, rectified_arg_offset))((UpdateIoArgsInfo(*this, relative_offset)) == ge::SUCCESS)((UpdateHostInputInfo(*this, relative_offset)) == ge::SUCCESS)[%s:%d]%lu %s:after update, tiling data offset %zu , tiling data size %zu, host input data offset %zu(host_input_data_size_ < max_host_input_data_len)[%s:%d]%lu %s: ErrorNo: %u(%s) %sdst length is %zu, src length is %zu((host_mem_offset + host_input_data_size_) <= static_cast(std::numeric_limits::max()))[%s:%d]%lu %s:input index %d, addr offset %u, data offset %u[%s:%d]%lu %s:before aligin host input data size, host input data size is %zu, merged copy size is %zuhost_input_data_size_ >= GetMergedCopySize()(!ge::AddOverflow(ge::RoundUp(copy_flow_size, kHostInputDataAlginSize), kHostInputDataAlginSize, align_copy_flow_size))(align_copy_flow_size >= copy_flow_size)(!ge::AddOverflow(host_input_data_size_, align_copy_flow_size - copy_flow_size, host_input_data_size_))[%s:%d]%lu %s:after align host input data size %zu, host input data size is %zu, [%s:%d]%lu %s:Dynamic arg idx[%zu] io idx[%ld] first[%d] group_size[%zu].[PARAM][INVALID]Host input data size[%zu], expect[%zu].(host_input_data_size_ == host_in_data_size) Print io args info, total num[[PARAM][INVALID]Current host input info idx[%zu], expect less than back-fill secondary addr num[%zu](host_input_info_idx < back_fill_secondary_addr_num_)(base.hostInputInfoNum == host_input_info_idx)((ParseMergedCopyInfoFromArgsInfo(args_info_desc, back_fill_secondary_addr_num_, merged_copy_size_)) == ge::SUCCESS)((memcpy_s(&node_desc_, sizeof(node_desc_), &node_desc, sizeof(node_desc))) == EOK)((memcpy_s(&args_desc_, sizeof(args_desc_), &args_desc, sizeof(args_desc))) == EOK)((memcpy_s(&args_info_desc_, sizeof(args_info_desc_), &args_info_desc, sizeof(args_info_desc))) == EOK)((InitIoArgsInfo(args_info_desc, node_desc)) == ge::SUCCESS)tilingAddrOffset overflow %zu(ge::IntegerChecker::Compat(args_desc_.offsets[static_cast(ArgsType::kTilingDataAddr)]))tilingDataOffset overflow %zu(ge::IntegerChecker::Compat(args_desc_.offsets[static_cast(ArgsType::kTilingData)]))((InitHostInputInfoByDynamicIo()) == ge::SUCCESS)[%s:%d]%lu %s:Io:%ld dim[%zu] val[%ld].[%s:%d]%lu %s:Node[%s]'s %s dynamic group size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sIndex %ld over args_info size %zu.[%s:%d]%lu %s:%s io:%ld is dynamic with ptr_offset[%zu] group_size[%zu] group_offset[%zu].(!ge::AddOverflow(pre_size, group_size, pre_size))[%s:%d]%lu %s:Node[%s] proc folded with desc args info.((CalcDynamicArg(compute_node, dyn_in_vv, true, args_infos, pre_size)) == ge::GRAPH_SUCCESS)((CalcDynamicArg(compute_node, dyn_out_vv, false, args_infos, pre_size)) == ge::GRAPH_SUCCESS)SetDynShapeProcFoldedDescArgsCalcDynamicArgInitHostInputInfoByDynamicIoDebugForIoArgsInfoInitIoArgsInfoAlignHostInputSizeUpdateHostInputArgsUpdateHostInputInfoSetIoArgByIndexGetIoArgByIndexUpdateIoArgsInfoUpdateMergedCopyInfoInitGetArgsInfoByIndexParseMergedCopyInfoFromArgsInfoCalcTotalSizeCreateCreatescalable_allocator.cc[%s:%d]%lu %s:PageSpan addr:%p[%s:%d]%lu %s:Total count:%zupage caching[allocator_[%s:%d]%lu %s:%s [ScalableAllocator]: memory leaks, occupied spans = %zu[%s:%d]%lu %s %s:model_metrics:name=%s, max_alloc_dev_mem=%lu B, device_id=%u[%s:%d]%lu %s %s:Delay split block device_id:%u size:%zu allocate_size:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s [ScalableAllocator]: size:%lu > mem_size_total_thresold:%lu[%s:%d]%lu %s %s:Malloc block device_id:%u size:%llu allocate_size:%zu mem_addr:%p. span addr %p[%s:%d]%lu %s %s:Free block device_id:%u allock_size:%zu mem_addr:%p.[%s:%d]%lu %s %s:OccupiedSize:%llu add size:%llu exceed total_thresold:%llu.[%s:%d]%lu %s %s:Device memory : [alloc count:%zu free count:%zu total size:%llu][%s:%d]%lu %s: ErrorNo: %u(%s) %sDevice memory : [alloc count:%zu free count:%zu total size:%llu][%s:%d]%lu %s %s:Allocator memory: [alloc count:%zu free count:%zu recycle count:%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %sAllocator memory: [alloc count:%zu free count:%zu recycle count:%zu][%s:%d]%lu %s %s:Using: [span count:%zu page count:%zu total size:%llu][%s:%d]%lu %s: ErrorNo: %u(%s) %sUsing: [span count:%zu page count:%zu total size:%llu][%s:%d]%lu %s %s: |-span: [size:%-11llu count:%-5zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s |-span: [size:%-11llu count:%-5zu][%s:%d]%lu %s %s:Freed span layers: [level:%u, count:%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %sFreed span layers: [level:%u, count:%zu][%s:%d]%lu %s %s:Freed: [span count:%zu page count:%zu total size:%llu][%s:%d]%lu %s: ErrorNo: %u(%s) %sFreed: [span count:%zu page count:%zu total size:%llu][%s:%d]%lu %s %s: |-layer: [id:%-5u capacity:%-5zu size:%-11llu count:%-5zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s |-layer: [id:%-5u capacity:%-5zu size:%-11llu count:%-5zu]PrintDetailsRecycleFreeAllocFetchSplitedSpanFetchNewSpanAllocFreeFinalizeN4gert8LinkNodeINS_8PageSpanEEEN4gert13SpanBuddyLinkEN4gert8PageSpanEN4gert15ObjectAllocatorINS_9SpanLayerEEEN4gert18SpanLayerAllocatorEN4gert12SpanLayerLutEN4gert15SpanLayerSeqLutEN4gert17SpanLayerQuickLutEN4gert10MemoryPoolEN4gert17ScalableAllocatorEscalable_config.ccrtMemGetInfoEx(RT_MEMORYINFO_HBM, &free_mem, &total_mem_size)rtMemGetInfoEx(RT_MEMORYINFO_DDR, &free_mem, &total_mem_size)[%s:%d]%lu %s:Get device total memory size failed.ge.experiment.memory_pool_threshold[%s:%d]%lu %s:option[%s] value[%s][%s:%d]%lu %s:Convert option[%s]=[%s] to int32 failed.[%s:%d]%lu %s:option[%s] config value=%s(GB) is invalid, range is (0, %lu][%s:%d][EVENT]%lu %s:page_mem_size_total_thresold is set to %lu, as option[%s]=%s(GB)[%s:%d]%lu %s:page_mem_size_total_thresold is set to %lu, as option[%s]=%s(GB)[%s:%d][EVENT]%lu %s:device total max size: %zu, page_mem_size_total_thresold: %lu, uncacheable_size_threshold: %lu[%s:%d]%lu %s:device total max size: %zu, page_mem_size_total_thresold: %lu, uncacheable_size_threshold: %luGetDeviceTotalMemorySizeScalableConfigffffff?0CrtMalloc[%s:%d]%lu %s:MallocMemory, func=%s, size=%lu, purpose=%s[%s:%d]%lu %s:Malloc from level_1 allocator addr:%p size:%lu.[%s:%d]%lu %s:Free to level_1 allocator dddr:%p size:%lu.rt2 memory pool((DoRtStreamSyncWithTimeout(stream_)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s Failed to apply for memory. We will try to free memory from memory pool, the above or this error log can be ignored. Try to free cached memory...[%s:%d]%lu %s:will synchronize on stream %p((Synchronize()) == ge::SUCCESS)[%s:%d]%lu %s:addr is nullptr, try to free other allocator memory and malloc again((caching_mem_allocator_pool_[i]->Synchronize()) == ge::SUCCESS)[%s:%d]%lu %s:Malloc size:%zu.[%s:%d]%lu %s:create caching memory allocator, %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Device] Failed, result:%d.rtGetDevice failed, result:%d.SynchronizeGetAllocatorCachingMemAllocatorCachingMemAllocatorAllocFreeAllocFreeCachingMemAllocatorMallocAllocateWithTryRecycleN2ge9AllocatorEN4gert6memory15MemSynchronizerEN4gert18DeviceMemAllocatorEN4gert13SpanAllocatorEN4gert15ObjectAllocatorINS_8PageSpanEEEN4gert16SpanAllocatorImpEN4gert6memory14FirstLevelPoolEN4gert6memory17RtsFirstLevelPoolEN4gert6memory19CachingMemAllocatorESt15_Sp_counted_ptrIPN4gert6memory19CachingMemAllocatorELN9__gnu_cxx12_Lock_policyE2EEdevice_allocator.cc, ptr=, device_id=, module_id=[%s:%d]%lu %s:RtMemAllocator::free device_id:%u ,size:%llu, mem_addr:%pCall rtFree fail, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtFree] failed, rt_ret:%d, device_id:%u, addr:%p, size:%llu[%s:%d]%lu %s:DeviceAllocator::Alloc device_id:%u, size:%llu, block_addr:%p[%s:%d]%lu %s: ErrorNo: %u(%s) %sDeviceAllocator::Alloc failed device_id:%u, size:%llu[%s:%d]%lu %s:DeviceAllocator::free device_id:%u ,size:%llu, block_addr:%pCall rtMalloc fail, purpose: page caching, type = %u, size:%llu, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed, rt_ret:%d, device_id:%u, size:%lluFreeAllocFreeAllocN4gert15ObjectAllocatorIN2ge8MemBlockEEEN4gert14RtMemAllocatorEexternal_allocator.cc[%s:%d]%lu %s:Free the block which malloc by external allocator, block:%p.[%s:%d]%lu %s:Free the memBlock which malloc by GE, memBlock:%p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to malloc memory by external allocator, size: %zu[%s:%d]%lu %s:Malloc memory by external allocator success, block:%p, size: %zu[%s:%d]%lu %s:Malloc MemBlock by GE, MemBlock:%p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to malloc advise memory by external allocator, size: %zu[%s:%d]%lu %s:Malloc advise memory by external allocator success, block:%p, size: %zuMallocAdviseFreeMallocN4gert16ExternalMemBlockEN4gert17ExternalAllocatorEffts_mem_allocator.cc[%s:%d]%lu %s %s:Malloc size:%zu.[%s:%d]%lu %s %s:Block alloc from level_1 allocator addr:%p size:%zu allocate_size:%lu window_size:%u.[%s:%d]%lu %s %s:FftsMemBlock mem_addr:%p block_size:%lu window_size:%u.[%s:%d]%lu %s:FftsMemBlock addr:%p.ffts memory pool[ffts_allocator_BlockAllocDevAllocMallocAllocFreeAllocFreeN4gert6memory12FftsMemBlockEN4gert15ObjectAllocatorINS_6memory12FftsMemBlockEEEN4gert6memory21FftsMemBlockAllocatorEN4gert6memory16FftsMemAllocatorE*ZN4gert6memory16HostMemAllocator6MallocEmEUlPvE_N4gert6memory16HostMemAllocatorEl2_mem_pool.cc[%s:%d]%lu %s:[MEM]Shrink memory pool at stream %p, address %p, block %p[%s:%d]%lu %s: ErrorNo: %u(%s) %sstream %p 's L2 allocator failed to apply for memory. We will try to free memory from memory pool, the above error log can be ignored. Try to free cached memory...Failed to expand memory for l2 allocator, stream %p, size %zu[%s:%d]%lu %s:malloc memory failed, try to free l2 mem pool and malloc again((l2_mem_pool->Synchronize()) == ge::SUCCESS)((block->GetAddr()) != nullptr)[%s:%d]%lu %s:[MEM]Expand memory pool at stream %p, address %p, size %zu, block %p. allocator addr %p[%s:%d]%lu %s:create l2 allocator:%s((rtMemcpyAsync(l1_block->GetAddr(), size, block->GetAddr(), block->GetSize(), RT_MEMCPY_DEVICE_TO_DEVICE, stream_)) == 0)[%s:%d]%lu %s:l2 block %p addr %p is splited, it has been moved to L1 block %p addr %p((l2_mem_pool) != nullptr)((l1_block) != nullptr)FreeAllocMoveL2ToL1SynchronizeMallocAllocFreeL2MemPoolN4gert6memory22MultiStreamL1AllocatorEN4gert6memory9L2MemPoolE((allocator) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sunsupport placement %d or unsupport usage %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnsupportd placement %zu or unsupportd usage %zu, Only support placemen[%zu~%zu)SetAllocatorGetAllocatormemory_kernel.ccaddr_avaddrs((l1_allocator) != nullptr)((l2_allocators) != nullptr)((out_allocator) != nullptr)((vec_chain) != nullptr)gert_tensor_datasizes((stream_id_ptr) != nullptr)(l2_allocators_size > 0U)(window_size > 0U)allocator_chain((ffts_allocator) != nullptr)block_holderblocksCreateL1AllocatorSelectL1AllocatorGetExternalL1AllocatorCreateInitL2AllocatorCreateL2AllocatorsCreateHostL2AllocatorSelectL2AllocatorAllocMemoryEmptyTensorData[%s:%d]%lu %s:[KernelTrace][%s][MEM]Free memory at stream %ld, address %p[%s:%d]%lu %s:[KernelTrace][%s][MEM]Free memory at stream %ld, address %p, tensor %p[%s:%d]%lu %s:[KernelTrace][%s][MEM]Memory wandering from stream %ld to %ld, address %p((gert_tensor_data) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[FreeBatchHbm] input addrs para error[%s:%d]%lu %s:[KernelTrace][%s][MEM]Free memory at stream %ld, address %p, index %zu, block %p[%s:%d]%lu %s:[KernelTrace][%s]l1 allocator's placement is Host, InitL2Allocator %p set l1 allocator %p((allocator_chain) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s][MEM]create l1 allocators, placement: %s[%s:%d]%lu %s:[KernelTrace][%s]l1 allocator's placement is Device, InitL2Allocator %p set l1 allocator %p(static_cast(placement) < static_cast(TensorPlacement::kTensorPlacementEnd))[%s:%d]%lu %s:[KernelTrace][%s]caching_mem_allocator: %p, stream: %p, placement: %s((created_allocator) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s]created_allocator: %p, stream: %p, placement: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid placement or memory type, placement: %zu((external_allocator) != nullptr)((l2_allocators->GetData()[0U]) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s][MEM]create init l2 allocator, stream_num: %zu, placement: %s((init_l2_allocators_holder) != nullptr)((init_l2_allocator) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s][%s]malloc failed, stream %" PRId64 ", tensor size=%zu, index=%zu[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu, tensor size %zu, index %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[AllocBatchHbm] The alloc count %zu more than output capacity %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet nullptr %s[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu, index %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to select allocator, invalid stream id %lld, should be less than %zu(TensorPlacementUtils::IsOnDevice(placement))((l2_allocator->SetL1Allocator(l1_allocator)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:[KernelTrace][%s][MEM]select l2 allocator, stream: %p, placement: %s[%s:%d]%lu %s:[KernelTrace][%s][MEM]select l2 allocator, placement: %sInvalid placement or memory type, placement: %zu((l2_allocators_holder) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s]Create l2 allocators, num %zu((all_l2_mem_pool_holder) != nullptr)Failed to create l2 allocator at stream %ld((multi_stream_allocator) != nullptr)((single_stream_allocator) != nullptr)((l2_mem_pools_chain) != nullptr)[%s:%d]%lu %s:[KernelTrace][%s][MEM]create l2 allocators, stream_num: %zu, placement: %swindows_size should be greater than zero.[%s:%d]%lu %s:[KernelTrace][%s][MEM]Reuse FftsMemAllocator window_size:[%u].[%s:%d]%lu %s:[KernelTrace][%s][MEM]Create FftsMemAllocator window_size:[%u].[%s:%d]%lu %s:[KernelTrace][%s][MEM]AllocateFftsMem mem_info:[%s].[%s:%d]%lu %s:[KernelTrace][%s][MEM]FreeFftsMem mem_info:[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[AllocateBatchFftsMems] The alloc count %zu is greater than output capacity %zu[%s:%d]%lu %s:[KernelTrace][%s][MEM]Allocate ffts_mem, info:[%s][%s:%d]%lu %s:[KernelTrace][%s][MEM]Free ffts_mem, info:[%s][ window_size:, block_size:, Addrs: ]AccessMemCrossStreamOutputCreatorAccessMemCrossStreamFreeBatchFftsMemsAllocateBatchFftsMemsCreateBatchFftsMemsFreeFftsMemAllocateFftsMemRecycleFftsMemsCreateFftsMemAllocatorFreeBatchHbmAllocBatchHbmFreeTensorMemoryFreeMemoryFreeHbmMemAllocOutputTensorDataAllocHbmMemSelectL2AllocatorBindingHostL1AllocatorCreateHostL2AllocatorCreateL2AllocatorsBindingL1AllocatorCreateInitL2AllocatorGetExternalL1AllocatorSelectL1AllocatorCreateL1AllocatorN4gert6memory20HostGertMemAllocatorEmulti_stream_l2_allocator.cc((own_allocator_) != nullptr)(!this->free_.empty())[%s:%d]%lu %s:set l1 allocator %s for l2 allocator %s[%s:%d]%lu %s:[KernelTrace][%s][MEM]Borrow-recycle memory at stream %ld, address %p, birth stream %ld[%s:%d]%lu %s:[KernelTrace][%s][MEM]Local-recycle memory at stream %ld, address %p, birth stream %ld[%s:%d]%lu %s:stream id %ld's l2 allocator will recycle free memory, stream addr %p[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to birth recycle block %p, the block maybe already recycled(GetStreamId() == block->GetBirthStreamId())[%s:%d]%lu %s:[KernelTrace][%s][MEM]Recycle memory at stream %ld, address %p((element->ReInit(args...)) == ge::SUCCESS)[%s:%d]%lu %s:malloc memory failed, try to use borrow block[%s:%d]%lu %s:The block %p address %p does not recycled when l2 allocator destructing, will be recycled force((msb) != nullptr)RecycleFreeMemMoveL2ToL1AcquireAcquireShareFromTensorData~MultiStreamL2AllocatorSetL1AllocatorSetL1AllocatorLocalRecycleBorrowRecycleBirthRecycleAcquireMallocN4gert13GertAllocatorEN4gert6memory7TiBlockEN4gert6memory16TiBlockAllocatorEN4gert6memory22MultiStreamL2AllocatorEInvalid src stream id %ld(IsStreamIdValid(src_stream))multi_stream_mem_block.ccInvalid dst stream id %ld(IsStreamIdValid(dst_stream))[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to ReInit GertMemBlock, origin mem_block is not cleared, this may cased memory leaks(occupy_mif_.IsSet(src_stream, dst_stream) >= occupy_mif_.IsSet(dst_stream, dst_stream))(occupy_mif_.IsSet(dst_stream, src_stream) >= occupy_mif_.IsSet(src_stream, src_stream))SyncAllLocalRecycleStatusSyncLocalRecycleStatusNewAccessStreamReInitN4gert12GertMemBlockEN4gert6memory19MultiStreamMemBlockErts_caching_mem_allocator.cc[%s:%d]%lu %s:RtsAllocatorManager Initialize.[%s:%d]%lu %s:RtsAllocatorManager ReleaseResource device id:%u.[%s:%d]%lu %s:%s Failed to apply for memory. We will try to free memory from memory pool, the above warning log can be ignored. Try to free cached memory...[%s:%d]%lu %s:RtsAllocatorManager Finalize.[%s:%d]%lu %s:Get RtsCachingMemAllocator device id:%u memory type:%u.[%s:%d]%lu %s:Create RtsCachingMemAllocator device id:%u memory type:%u.[rts_allocator_ReleaseResourceFinalizeInitializeGetAllocatorMallocAllocateWithTryRecycleFetchNewSpanAllocFreeN4gert6memory16AllocatorManagerEN4gert6memory22RtsCachingMemAllocatorEN4gert6memory19RtsAllocatorManagerESt15_Sp_counted_ptrIPN4gert6memory22RtsCachingMemAllocatorELN9__gnu_cxx12_Lock_policyE2EE(stream_id == GetStreamId())single_stream_l2_allocator.ccAcquireAcquireShareFromTensorDataFreeAtSetL1AllocatorBirthRecycleAcquire~SingleStreamL2AllocatorN4gert6memory23SingleStreamL2AllocatorEsink_weight_assigner.cc((assinger_chain) != nullptr)((assinger) != nullptr)((input_gtd) != nullptr)((out_gtd) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput or output is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInpus invalid. size[%zu] + offset[%zu] > total_mem_size[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %sassign device addr failed.[%s:%d]%lu %s:appointed weight info is invalid, given_size[%zu], requred_size[%zu], need to alloc inner.GetOrCreateWeightOutputCreatorGetOrCreateWeightMemAssignMemoryOutputCreatorAssignAssignWeightMemoryCreateMemAssigner{Gz?span_layer.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[SpanLayer]: releasing splited span [addr : %p, len : %u]ReleaseFreemodel_outputs.cc((gtd->GetAddr()) != nullptr)alloc memory failed.AllocModelOutTensor[%s:%d]%lu %s:The node is nullptr when create output for kernel AllocModelOutTensor[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create output tensor[%s:%d]%lu %s:[KernelTrace][%s]Alloc Model out tensor %pFailed to alloc model output, alloc size %zu((tensor->GetAddr()) != nullptr)((TensorUtils::RefTdToGtd(tensor->GetTensorData(), gert_allocator->GetStreamId(), *gtd)) == ge::SUCCESS)[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu, as model out memory[%s:%d]%lu %s:[KernelTrace][%s][MEM]Alloc memory at stream %ld, block %p, address %p, size %zu, placement = %s, out memory placement = %s((AllocMemoryIfNeed(context, tensor, tensor_data, alloced)) == ge::SUCCESS)[%s:%d]%lu %s:[KernelTrace][%s]Zero copy takes effect, using the output address specified by the user %pRefTdToGtdAllocMemoryIfNeedAllocModelOutTensorCreateOutputForKernelAllocModelOutTensor((io_desc) != nullptr)exe_graph_serializer.cc((compute_graph_) != nullptr)output__op_impl_mode_enum(origin_index >= 0)DfxExtendInfo[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to add KernelExtendIndex for node %s.[%s:%d]%lu %s:Unsupported task type %s. node name is %s[%s:%d]%lu %s:get attr _ffts_prof_ctx_type failed.[%s:%d]%lu %s:get attr _context_id_list failed.[%s:%d]%lu %s:get attr _op_impl_mode_enum failed.((DfxExtendInfo::CalcSize(ctx_id_vec.size(), cmo_context_ids, total_size)) == ge::SUCCESS)((dfx_extend_info_holder) != nullptr)((dfx_extend_info->Init(ge::PtrToPtr(ge::ValueToPtr(node_name_index)), cmo_context_names, cmo_context_ids)) == ge::SUCCESS)(ge::AttrUtils::GetInt(op_desc, ge::ATTR_NAME_INDEX, data_op_index))node %s (index %u) already exists.(input_map.find(data_op_index) == input_map.cend())Param:in_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_node]null is invalidstatic_cast(index) < src_name.size()static_cast(index) < src_index.size()[%s:%d]%lu %s:Serialize model output, index = %d, in_node name = %s, output name = %sop_desc->GetOutputsSize() > 0UParam:model_desc_holder is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_desc_holder]null is invalid((GetIoDescFromTensor(input_descs, input_names, model_desc_pool, model_io_descs)) == ge::SUCCESS)((SetAippDims(model_io_descs, aipp_all_input_dims)) == ge::GRAPH_SUCCESS)((GetIoDescFromTensor(output_descs, output_names, model_desc_pool, model_output_descs)) == ge::SUCCESS)[%s:%d]%lu %s:Space registry is null. Private attrs is set empty.(static_cast(origin_index) < index_2_unique_index.size())(ge::AttrUtils::SetInt(op_desc, kComputeNodeIndex, unique_index))((SerializeComputeNodeInfo(all_exe_nodes, compute_node_infos, buffer_pool)) == ge::SUCCESS)((SerializeKernelExtendInfo(all_exe_nodes, kernel_extend_infos, buffer_pool)) == ge::SUCCESS)((SerializeModelDesc(model_desc)) == ge::SUCCESS)((SerializeDfxExtendInfo(dfx_extend_infos, buffer_pool)) == ge::SUCCESS)(ge::AttrUtils::SetZeroCopyBytes(graph, kBuffer, ge::Buffer::CopyFrom(buffer.get(), buffer_size)))(ge::AttrUtils::SetZeroCopyBytes(graph, kComputeNodeInfo, ge::Buffer::CopyFrom(buffer.get(), buffer_size)))(ge::AttrUtils::SetZeroCopyBytes(graph, kKernelExtendInfo, ge::Buffer::CopyFrom(buffer.get(), buffer_size)))(ge::AttrUtils::SetZeroCopyBytes(graph, "DfxExtendInfo", ge::Buffer::CopyFrom(buffer.get(), buffer_size)))(ge::AttrUtils::SetZeroCopyBytes(graph, kModelDesc, ge::Buffer::CopyFrom(buffer.get(), buffer_size)))(graph->SetExtAttr(kSpaceRegistry, model_desc_holder_->GetSpaceRegistry()))(graph->SetExtAttr(kExternalFileConstantDir, model_desc_holder_->GetFileConstantWeightDir()))GetIoDescFromTensorSetAippDimsSerializeModelDescSerializeKernelExtendInfoSerializeComputeNodeInfoSerializeDfxExtendInfostatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::basic_string]SaveSerializationN2ge6AnyMap6HolderISt10shared_ptrIN4gert19OpImplSpaceRegistryEEEEN2ge6AnyMap6HolderISsEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrIN4gert19OpImplSpaceRegistryEEEESaIS7_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISsEESaIS3_ELN9__gnu_cxx12_Lock_policyE2EE(!const_data_name.empty())(!node_holder.empty())ModelStreamNum((last_exe_node) != nullptr)((body_output) != nullptr)((main_node) != nullptr)rt_streams.size()((notify_holder) != nullptr)ExecuteArgRtNotifiesnotifies.size()((node_type) != nullptr)((node_holder) != nullptr)parent_input_index >= 0_pre_noop((pre_handle) != nullptr)_post_noop((post_handle) != nullptr)((pcall_subgraph) != nullptr)StageIdsToLastPartitionedCall((pcall_node) != nullptr)((pre_noop) != nullptr)((post_noop) != nullptr)ComputeGraphBeforeLowering((graph_result) != nullptr)((root_frame) != nullptr)((exe_graph) != nullptr)ExeGraphBeforeOptimize_compute_graph(node_holder.size() == const_data_num)((node_holder[0U]) != nullptr)((bg::ValueHolder::PushGraphFrame(node_holder[0U], node_type)) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to append graph level data, current exe_graph is not the root graph((ExeGraphSerializer(frame) .SetComputeGraph(compute_graph) .SetModelDescHolder(model_desc_holder_) .SaveSerialization()) == ge::SUCCESS)((last_exe_node->GetNode()) != nullptr)((last_exe_node->GetNode()->GetOutControlAnchor()) != nullptr)((body_output->GetOutControlAnchor()) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sMain graph can not hold ConstData %s. Because ConstData only can held by init graph. Please check lowering logic.static_cast(stream_num)((notify_num_holder) != nullptr)static_cast(notify_num)[%s:%d]%lu %s:Add Noop %s to exe_graph %s.Failed to construct LowerInput for node %s, because can not find the lower result on input node %s.Failed to get data dependent flag for node %s, src node %s, input index %zuFailed to get tiling dependent flag for node %s, src node %s, input index %zu[%s:%d]%lu %s:Node: %s input: %zu data/tiling depend flag: %d/%d, peer node: %s, type: %s.Failed to get control anchor from node %s[%s], because in control anchor is nullptrFailed to get control peer control node from node %s[%s], because in control node is nullptrFailed to find lower result for node %s, src node %s((GetUbOriginalGraphNodeIds(graph, ub_graph_node_2_parent_node_id)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sCompute node [%s] from main frame is invalid((bg::ValueHolder::PushGraphFrame(node_holder, node_type)) != nullptr)Failed to lowering access_mem_cross_stream for node %s.Failed to lowering wait event of node %s.Failed to lowering send event of node %s.[%s:%d]%lu %s:add dependency for order holders from %s to %s not success, reason:%sFailed to lowering event sync for node %s.[%s:%d]%lu %s:add dependency for order holders not success, reason:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to construct inputs for node %s, reason %s((lowering_reg_data->converter) != nullptr)ge::AttrUtils::GetInt(op_desc, ge::ATTR_NAME_PARENT_NODE_INDEX, parent_input_index)static_cast(parent_input_index) < parent_inputs_placement.size()((lowering_reg_data) != nullptr)((LoweringNode(node, inputs, ordered_inputs, lowering_reg_data->converter)).IsSuccess())[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find index attr of inner data %s.((in_data_node_2_out_anchor.first) != nullptr)((in_data_node_2_out_anchor.second) != nullptr)((in_data_node_2_out_anchor.second->Unlink(partitioned_call->GetInDataAnchor(parent_node_index))) == ge::GRAPH_SUCCESS)((out_node_2_in_anchor.second->Unlink(inner_data->GetOutDataAnchor(0U))) == ge::GRAPH_SUCCESS)((ge::GraphUtils::AddEdge(in_data_node_2_out_anchor.second, out_node_2_in_anchor.second)) == ge::GRAPH_SUCCESS)((ge::GraphUtils::AddEdge(pre_handle->GetOutControlAnchor(), out_node_2_in_anchor.first->GetInControlAnchor())) == ge::GRAPH_SUCCESS)((pcall_subgraph->RemoveNode(inner_data)) == ge::GRAPH_SUCCESS)((peer_in_node->GetOutControlAnchor()->Unlink(inner_netoutput->GetInControlAnchor())) == ge::GRAPH_SUCCESS)((ge::GraphUtils::AddEdge(peer_in_node->GetOutControlAnchor(), post_handle->GetInControlAnchor())) == ge::GRAPH_SUCCESS)((pcall_subgraph->RemoveNode(inner_netoutput)) == ge::GRAPH_SUCCESS)((ge::GraphUtils::RemoveJustNodes(pcall_subgraph, nodes)) == ge::GRAPH_SUCCESS)((exe_graph->RemoveNode(pcall_subgraph->GetParentNode())) == ge::SUCCESS)((exe_graph->GetParentGraph()->RemoveSubGraph(pcall_subgraph)) == ge::SUCCESS)(stage_ids_to_last_pcall->size() == static_cast(bg::OnMainRootLastExecStage::kStageSize))[%s:%d]%lu %s:No last sync stage partition_call, stage id is %u.((ExpandPartitionedCallToParentGraph(exe_graph, pcall_node, pre_noop, post_noop)) == ge::GRAPH_SUCCESS)StageIdsToFirstPartitionedCall((out_node_2_anchor.first) != nullptr)((out_node_2_anchor.second) != nullptr)(stage_ids_to_first_pcall->size() == static_cast(bg::OnMainRootFirstExecStage::kStageSize))((first_sync_pcall) != nullptr)((ge::GraphUtils::AddEdge(post_noop->GetOutControlAnchor(), out_node->GetInControlAnchor())) == ge::GRAPH_SUCCESS)((bg::ValueHolder::PushGraphFrame()) != nullptr)((AddInitContainerNode(global_data)) == ge::SUCCESS)((const_data_holder) != nullptr)((LowerConstDataNode(const_data_outputs)) == ge::SUCCESS)((bg::ValueHolder::PopGraphFrame(const_data_outputs, {})) != nullptr)((CreateInitNode(global_data)) == ge::SUCCESS)((AddContainerNode(kDeInitExeGraph)) == ge::SUCCESS)((bg::ValueHolder::PopGraphFrame()) != nullptr)((CreateDeInitNode()) == ge::SUCCESS)((model_desc_holder_) != nullptr)((LoweringExecuteArgFeeds(global_data, ExecuteGraphType::kMain, model_desc_holder.GetModelDesc().GetReusableStreamNum())) == ge::GRAPH_SUCCESS)((LoweringRtNotifies(model_desc_holder, global_data)) == ge::GRAPH_SUCCESS)((LoweringStreamResources(graph, global_data, model_desc_holder)) == ge::GRAPH_SUCCESS)((graph_result->result).IsSuccess())((AddDependencyFromOutputToLastExeNode(last_exe_nodes, main_graph)) == ge::SUCCESS)Before_MultiStream_LoweringFirstLastEventSync((ExpandFirstExeNodesToMainGraph(main_graph)) == ge::SUCCESS)((ExpandLastSyncExeNodesToMainGraph(main_graph)) == ge::SUCCESS)((CheckMainFrameComputeNode(graph, *frame.get())) == ge::SUCCESS)((CreateMainNode(graph, *model_desc_holder_, global_data, main_graph)) == ge::SUCCESS)ConvertComputeGraphToExecuteGraph::CreateMainNode((root_frame->GetExeGraph()) != nullptr)((bg::OfflineOptimizer(optimize_option, global_data).Run(exe_graph)) == ge::SUCCESS)ConvertComputeGraphToExecuteGraph::RunAllPass((exe_graph->TopologicalSorting()) == ge::SUCCESS)ConvertComputeGraphToExecuteGraph::TopologicalSorting((AppendGraphLevelData(*root_frame, graph)) == ge::SUCCESS)ConvertComputeGraphToExecuteGraph::AppendGraphLevelData((bg::NodePriorityCalculator(*root_frame, exe_graph, main_graph) .CalcNodeExecutionPriorities()) == ge::SUCCESS)ConvertComputeGraphToExecuteGraph::CalculatePriority((ValidateExeGraph(exe_graph)) == ge::SUCCESS)ConvertComputeGraphToExecuteGraph::All[%s:%d]%lu %s:The pass %s initialized failed, skip itZeroCopyCEMTrustOutTensorAicpuFuseHostInputsGetMainGraphFromRootGraphValidateExeGraphAddPassCheckUbGraphNodeAndSetIdsGetUbOriginalGraphNodeIdsCheckMainFrameComputeNodeExpandLastSyncExeNodesToMainGraphAddNoOpNodeToExeGraphExpandPartitionedCallToParentGraphstatic ge::TypeID ge::TypeID::Of() [with T = std::vector >]ExpandFirstExeNodesToMainGraphAddDependencyFromOutputToLastExeNodeLoweringRtNotifiesLoweringStreamResourcesCreateMainNodeCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidAddContainerNodeCreateDeInitNodeLoweringExecuteArgFeedsLowerConstDataNodeAddInitContainerNodeCreateInitNodeConvertComputeGraphToExecuteGraphConvertComputeSubgraphToExecuteGraphLoweringNodeAddDependencyForOrderedHoldersLoweringEventSyncLoweringAccessMemCrossStreamGetNodeConvertDataLoweringComputeGraphCollectLowerResultOfInDataNodesstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]AppendGraphLevelData*ZN4gert12_GLOBAL__N_123LoweringStreamResourcesERKSt10shared_ptrIN2ge12ComputeGraphEERNS_18LoweringGlobalDataERNS_15ModelDescHolderEEUlvE_N2ge6AnyMap6HolderISt10shared_ptrINS_12ComputeGraphEEEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrINS0_12ComputeGraphEEEESaIS6_ELN9__gnu_cxx12_Lock_policyE2EElowering_utils.cc_engine_task_node_id((origin_desc) != nullptr)IsEngineTaskNodestatic ge::TypeID ge::TypeID::Of() [with T = long int]CreateEngineTaskNodeN2ge6AnyMap6HolderIlEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderIlEESaIS3_ELN9__gnu_cxx12_Lock_policyE2EE`hhh(hHhmodel_converter.cc((ge_model) != nullptr)Operator graph failed(static_stream_num >= 0)(static_event_num >= 0)(static_notify_num >= 0)((space_registry) != nullptr)((flatten_graph) != nullptr)external type: %srts memory type: , addr: , user_alloc: , ge_alloc: , block: ExecuteGraphAfterSplit[%s:%d]%lu %s:Model is single stream, no need acquire reusable stream[%s:%d]%lu %s:No external stream allocator during load, model will use inner stream allocator when executing.Failed to reserve streams, num %zuFailed to reserve events, num %zuFailed to reserve notifies, num %zu[%s:%d]%lu %s:Finish to refresh nodes' stream_id in unknown graph to 0.[%s:%d]%lu %s:Static sub model %s, stream_num %ld, event_num %ld, notify_num %ld.[%s:%d]%lu %s:Load Kernel for FFTS-Plus node: %sParam:sgt_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sgt_graph]null is invalidParam:sgt_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sgt_op_desc]null is invalid[%s:%d]%lu %s:Load Kernel for FFTS-Plus graph node: %s[%s:%d]%lu %s:Load Kernel for mix l2 node: %sCompiled model of %s is nullptr((subgraph_model.second) != nullptr)[%s:%d]%lu %s:set FLATTEN_OFFSET to model[%s], {%ld, %ld}[%s:%d]%lu %s:weight is empty. subgraph_name = %sParam:sub_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sub_graph]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sweight is empty. node = %sParam:weight is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:weight]null is invalidParam:op_desc->MutableOutputDesc(0U) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc->MutableOutputDesc(0U)]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetSize][%s(%s)] Failed to get output tensor size[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetDataOffset][%s(%s)] Failed to get data offset[%s:%d]%lu %s:[%s] Start to init Const node [%s], size = %ld, offset = %ld, graph_offset = %ld[%s:%d]%lu %s:set offset to node[%s], offset[%ld], size[%ld]Param:subgraph_model.second->GetWeightData() + static_cast(data_offset) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:subgraph_model.second->GetWeightData() + static_cast(data_offset)]null is invalid[%s:%d]%lu %s:total weight data size[%ld]((GetNonRootModelResourceNum(ge_models, root_graph->GetName(), static_stream_num, static_event_num, static_notify_num)) == ge::SUCCESS)[%s:%d]%lu %s:Root graph total stream_num %ld, reusable stream num %ld, event_num %ld, notify_num %ld.[%s:%d]%lu %s:Root model %s, stream_num %ld, event_num %ld, notify_num %ld.Total stream num %ld is less than static stream nums is %ld.((total_stream_num > static_stream_num))Total event num %ld is less than static event nums is %ld.((total_event_num >= static_event_num))Total notify num %ld is less than static notify nums is %ld.((total_notify_num >= static_notify_num))[%s:%d]%lu %s:Root model real stream_num %ld, real event_num %ld, real notify_num %ld((GetReusableStreamResourceNum(root_model, reusable_stream_num, reusable_event_num, reusable_notify_num, total_stream_num)) == ge::SUCCESS)[%s:%d]%lu %s:Stream allocator or event allocator is null. Its come from acl. No need rollback.[%s:%d]%lu %s:Fail to get available stream num on device. Better to roll back to single stream.[%s:%d][EVENT]%lu %s:Model total required %ld streams, including reusable stream_num %ld, but current available stream num is %u. Need rollback to single stream[%s:%d]%lu %s:Model total required %ld streams, including reusable stream_num %ld, but current available stream num is %u. Need rollback to single stream((RefreshStreamIdOfSingleStreamGraph(root_model->GetRootGraph())) == ge::SUCCESS)[%s:%d][EVENT]%lu %s:Model %s require reusable stream num is %ld event_num is %ld notify_num is %ld.[%s:%d]%lu %s:Model %s require reusable stream num is %ld event_num is %ld notify_num is %ld.((ReserveReusableStreamResource(model_desc_holder.GetModelDesc(), stream_allocator, event_allocator, notify_allocator)) == ge::SUCCESS)((CollectAndReserveStreamResource(root_model, stream_allocator, event_allocator, notify_allocator, model_desc_holder_)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:No so in root model, add default so to model converter![%s:%d]%lu %s:Attention: No default registry exist. Tiling or infershape will be failed![%s:%d]%lu %s:Load [%u] so from root model!((space_registry->GetOrCreateRegistry(so_list, root_model->GetSoInOmInfo())) == ge::SUCCESS)[%s:%d]%lu %s:To index tasks for subgraph: %s[%s:%d]%lu %s:Task id = %d, task type = %d[%s:%d]%lu %s:Skip task type: %d[%s:%d]%lu %s:op_index = %u, task_type = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][Node]Failed to get node by op_index = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][Node]Failed to load node[%s] kernel bin.[%s:%d]%lu %s:Task loaded for node: %s, task type = %d, op_index = %u((CreateModelDesc(root_model, stream_allocator, event_allocator, notify_allocator)) == ge::SUCCESS)[%s:%d]%lu %s:Read-in static compiled graph %s[%s:%d]%lu %s:Read-in dynamic compiled graph %s((ReadInCompileResults(root_graph, root_model, nodes_to_task_defs, graph_to_static_models)) == ge::GRAPH_SUCCESS)Failed to recover ir definitions((ge::RecoverIrDefinitions(flatten_graph)) == ge::GRAPH_SUCCESS)((root_model->GetSummaryFeatureMemory(all_feature_memory, hbm_fixed_feature_mem)) == ge::SUCCESS)((ge::MemTypeUtils::ExternalMemTypeToRtMemType(summary_feature_mem->GetType(), rt_mem_type)) == ge::SUCCESS)[%s:%d]%lu %s:fixed_feature_memory type:%s, size:%zu[%s:%d]%lu %s:Set fixed_feature_memory base to global data. %s((SetFixedFeatureMemory(root_model, global_data)) == ge::SUCCESS)Failed lowering compute graph %sReserveReusableStreamResourceRefreshStreamIdOfSingleStreamGraphNeedRollBackToSingleStreamGetReusableStreamResourceNumCollectAndReserveStreamResourceCreateModelDescLoadExecuteGraphFromModelFileSetFixedFeatureMemoryInitConstWeightsReadInModelTaskDefsReadInCompileResultsConvertGeModelToExecuteGraphLoadSgtKernelBinToOpDescGetNonRootModelResourceNumSt23_Sp_counted_ptr_inplaceIN4gert19OpImplSpaceRegistryESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEvector::_M_fill_insert((graph_) != nullptr)node_priority_calculator.cc[%s:%d]%lu %s:Get compute node info, node name: %s, id: %ldThe node %s topo id %ld exceeds max count %zu(static_cast(op_desc->GetId()) < count)(CheckNodeIdValid(node, node_count))(static_cast(compute_node_index) < index_2_compute_node_id.size())[%s:%d]%lu %s:Set priority %ld to priority node %s[%s:%d]%lu %s:Set priority %ld to node %s for priority node %sCircle found when iter parent nodes for node %s(unset.insert(op_desc->GetId()).second)((SetPriorityToParentNode(node, node_ids_to_priority)) == ge::SUCCESS)(ge::AttrUtils::SetInt(op_desc, "priority", node_ids_to_priority.Get(op_desc->GetId())))SetPriorityToParentNodeMarkFreeAndEventNodeAncestorsPriorityMarkAncestorsPrioritiesCheckNodeIdValidCalcNodeExecutionPrioritiesbase_optimizer.ccFailed to run pass %sTurn [%s:%d]%lu %s:Add nullptr pass %s[%s:%d]%lu %s:start to run all passes((name_and_pass.second->Run(graph, pass_changed)) == ge::SUCCESS)[%s:%d]%lu %s:Run all optimization passes on execute graph more than %d times (%d), jump out the re-pass processChanged pass names every optimize turn: PrintChangedPassesRunAddPass((init_node) != nullptr)constant_expression_motion.cc((de_init_node) != nullptr)((init_graph) != nullptr)((dst_node) != nullptr)CEM_NoOp_((no_op_node) != nullptr)((parent_graph) != nullptr)((de_init_graph) != nullptr)CEM__InnerData_((inner_data) != nullptr)anchors.size()((init_netoutput) != nullptr)((root_anchor) != nullptr)((new_graph->AddNode(node)) != nullptr)((node->SetOwnerComputeGraph(new_graph)) == ge::SUCCESS)Can not find the init graph from init node %sCan not find the InnerNetOutput node from init graph((cached_netoutput_from_init_) != nullptr)[%s:%d]%lu %s:Found expected ctrl edge from node %s to node %s, unlink it.((dst_anchor->Unlink(src_anchor)) == ge::SUCCESS)((src_anchor->Unlink(dst_anchor)) == ge::SUCCESS)((src_ctrl_anchor) != nullptr)((dst_ctrl_anchor) != nullptr)((ge::GraphUtils::AddEdge(src_ctrl_anchor, dst_ctrl_anchor)) == ge::SUCCESS)((ge::GraphUtils::AddEdge(src_anchor, dst_anchor)) == ge::SUCCESS)[%s:%d]%lu %s:Release node %s index %d can not find the input node.(ge::AttrUtils::GetInt(inner_data->GetOpDescBarePtr(), "index", parent_node_index))((CollectNoOpSrcNodesFromInitGraph()) == ge::SUCCESS)((ge::GraphUtils::RemoveJustNodes(ce_nodes.ce_nodes[0U]->GetOwnerComputeGraph(), nodes)) == ge::SUCCESS)[%s:%d]%lu %s:Move CE node %s type %s to init graph((MoveNodeToGraph(ce_node, init_graph)) == ge::SUCCESS)((in_edge.in_anchor->LinkFrom(in_edge.out_anchor_on_init)) == ge::SUCCESS)((ge::GraphUtils::RemoveJustNodes(guarders.guarder_nodes[0U]->GetOwnerComputeGraph(), nodes)) == ge::SUCCESS)[%s:%d]%lu %s:Move guarder node %s type %s to de-init graph((MoveNodeToGraph(guarder, de_init_graph)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to do CEM, the guarder %s moving to DeInit graph has out ctrl node %s which belongs to Main((ge::GraphUtils::AddEdge(data_anchor, anchor)) == ge::SUCCESS)((ge::NodeUtils::AppendInputAnchor(node, index + 1U)) == ge::SUCCESS)((ge::NodeUtils::AppendInputAnchor(init_netoutput, index + out_edges.size())) == ge::SUCCESS)((ge::NodeUtils::AppendOutputAnchor(init_node, index + out_edges.size())) == ge::SUCCESS)((ge::GraphUtils::AddEdge(out_edge.out_anchor, init_netoutput->GetInDataAnchor(index + i))) == ge::SUCCESS)((ge::GraphUtils::AddEdge(init_node->GetOutDataAnchor(index + i), root_anchor)) == ge::SUCCESS)((Init(graph)) == ge::SUCCESS)[%s:%d]%lu %s:The subgraph %s is the ctrl frame of node %s, skip CEM[%s:%d]%lu %s:The subgraph %s is not Main or subgraph of Main, skip CEM((CollectCeAndInnerData(*this, subgraph, ce_nodes)) == ge::SUCCESS)[%s:%d]%lu %s:The subgraph %s belongs to node %s has no CE nodes, skip CEM((CollectCeGuarders(subgraph, ce_nodes, ce_guarder_nodes)) == ge::SUCCESS)((CollectIoEdges(*this, ce_nodes, ce_guarder_nodes, in_edges, out_edges)) == ge::SUCCESS)((CollectNoOpSrcNodesFromCeNodes(ce_nodes.ce_nodes, out_edges, no_op_src_nodes_next_time)) == ge::SUCCESS)((out_edge.out_anchor->Unlink(dst_anchor)) == ge::SUCCESS)((UnlinkDataEdges(in_edges, out_edges)) == ge::SUCCESS)((UnlinkInCtrlEdges(ce_nodes.ce_nodes, ce_nodes.GetAllCollectedSet())) == ge::SUCCESS)((UnlinkOutCtrlEdges(ce_nodes.ce_nodes, ce_nodes.GetAllCollectedSet())) == ge::SUCCESS)((UnlinkInCtrlEdges(ce_guarder_nodes.guarder_nodes, ce_guarder_nodes.GetAllCollectedSet())) == ge::SUCCESS)((MoveCeToInit(GetInitGraph(), ce_nodes, in_edges)) == ge::SUCCESS)((MoveGuardersToDeInit(GetDeInitGraph(), ce_guarder_nodes)) == ge::SUCCESS)((LinkOutEdges(*this, out_edges)) == ge::SUCCESS)((AddCtrlFromInitNodesToCeNodes(GetInitGraph(), no_op_src_nodes_, no_op_dst_nodes, no_op_node)) == ge::SUCCESS)AddNoOpNodeToInitGraphAddCtrlFromInitNodesToCeNodesLinkOutLinkOutEdgesMoveGuardersToDeInitMoveNodeToGraphMoveCeToInitUnlinkInCtrlEdgesUnlinkOutCtrlEdgesUnlinkDataEdgesCollectNoOpSrcNodesFromCeNodesCollectIoEdgesIsCeGuarderStartCollectCeAndInnerDataNeedCemRunGetSrcFromInitGraphGetDeInitGraphGetInitGraphGetInitNetOutputCollectNoOpSrcNodesFromInitGraphInit*ZN4gert2bg12_GLOBAL__N_121CollectCeAndInnerDataERNS0_24ConstantExpressionMotionERKSt10shared_ptrIN2ge12ComputeGraphEERNS1_7CeNodesEEUlRKS4_INS5_4NodeEERNS1_6CeNodeEE_*ZN4gert2bg12_GLOBAL__N_121CollectCeAndInnerDataERNS0_24ConstantExpressionMotionERKSt10shared_ptrIN2ge12ComputeGraphEERNS1_7CeNodesEEUlRKS4_INS5_4NodeEEE0_*ZN4gert2bg12_GLOBAL__N_117CollectCeGuardersERKSt10shared_ptrIN2ge12ComputeGraphEERKNS1_7CeNodesERNS1_14CeGuarderNodesEEUlRKS2_INS3_4NodeEERNS1_13CeGuarderNodeEE_*ZN4gert2bg12_GLOBAL__N_117CollectCeGuardersERKSt10shared_ptrIN2ge12ComputeGraphEERKNS1_7CeNodesERNS1_14CeGuarderNodesEEUlRKS2_INS3_4NodeEEE0_ReleaseResourceIndexN4gert2bg24ConstantExpressionMotionEcopy_flow_launch_fuse.cc src node[], kernel launch node[],[ - _To_CopyFlowLaunch((dst_op_desc) != nullptr)((src_op_desc) != nullptr)((copy_op_desc) != nullptr)_Num((cvv) != nullptr)CopyFlowLaunchBeforeCopyFlowLaunchAfterPass::CopyFlowLaunchFuse[%s:%d]%lu %s:copy node name %s, type %s, input anchor index %d, output anchor index %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput anchor index %d is invalid, valid range [0, %u).((ge::GraphUtils::AddEdge(peer_out_anchor, copy_flow_launch_node->GetInDataAnchor(input_anchor_index++))) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %soutput anchor index %d is invalid, valid range [0, %u).((ge::GraphUtils::AddEdge(copy_flow_launch_node->GetOutDataAnchor(output_anchor_index), peer_in_anchor)) == ge::SUCCESS)((ge::GraphUtils::MoveInCtrlEdges(copy_node, copy_flow_launch_node)) == ge::SUCCESS)((ge::GraphUtils::MoveOutCtrlEdges(copy_node, copy_flow_launch_node)) == ge::SUCCESS)((ge::GraphUtils::RemoveJustNode(graph, copy_node)) == ge::SUCCESS)[%s:%d]%lu %s:find launch kernel node name %s, node type %s[%s:%d]%lu %s: ErrorNo: %u(%s) %scan't find io addr, node type: %s[%s:%d]%lu %s:no need to optimize host input, src node name %s, dst node name %s, dst node type %s[Param][Invalid] src node[%s], dst node[%s:%d], expect greater than or equal to[%d].(peer_out_node_and_anchor.second->GetIdx() >= io_addr_start) kernel launch input data anchor idx[[%s:%d]%lu %s:Copy nodes info:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %scopy node name %s, input data anchors size is %u, less than %u((op_desc->AddInputDesc(src_op_desc->GetInputDesc(in_anchor->GetIdx()))) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %snode name %s, input data anchors size is %u, less than %u((op_desc->AddInputDesc(copy_op_desc->GetInputDesc(in_anchor->GetIdx()))) == ge::SUCCESS)((AddInputDesc(dst_op_desc, copy_nodes)) == ge::SUCCESS)((kernel_launch_op_desc) != nullptr)(ge::AttrUtils::GetStr(kernel_launch_op_desc->GetOutputDesc(0), kRefFromNode, src_node_name))(ge::AttrUtils::GetInt(kernel_launch_op_desc->GetOutputDesc(0), kRefFromIndex, src_index))(ge::AttrUtils::SetStr(td, kRefFromNode, src_node_name))(ge::AttrUtils::SetInt(td, kRefFromIndex, src_index))((op_desc->AddOutputDesc(copy_op_desc->GetOutputDesc(out_anchor->GetIdx()))) == ge::SUCCESS)((AddOutputDesc(dst_op_desc, copy_nodes)) == ge::SUCCESS)((op_desc->SetAttr("is_string", ge::AnyValue::CreateFrom(is_string))) == ge::SUCCESS)(ge::AttrUtils::SetZeroCopyBytes(op_desc, kConstValue, ge::Buffer::CopyFrom(ge::PtrToPtr(data), size)))[%s:%d]%lu %s:host inputs num %zu((host_inputs_num_node) != nullptr)(!ge::MulOverflow(inner_vec.size(), sizeof(int32_t), inner_vec_length))(!ge::AddOverflow(inner_vec_length, sizeof(ContinuousVector), inner_vec_length))(!ge::AddOverflow(total_size, inner_vec_length, total_size))((memcpy_s(cv->MutableData(), cv->GetCapacity() * sizeof(int32_t), inner_vec.data(), copy_size)) == EOK)((host_inputs_index_node) != nullptr)((const_num_out_anchor) != nullptr)((inputs_num_anchor) != nullptr)((ge::GraphUtils::AddEdge(const_num_out_anchor, inputs_num_anchor)) == ge::SUCCESS)((const_index_out_anchor) != nullptr)((inputs_index_anchor) != nullptr)((ge::GraphUtils::AddEdge(const_index_out_anchor, inputs_index_anchor)) == ge::SUCCESS)((FindCopyNodes(node, copy_nodes)) == ge::SUCCESS)[%s:%d]%lu %s:no need fuse host inputs node((copy_flow_launch_node) != nullptr)(ge::AttrUtils::SetInt(copy_flow_launch_node->GetOpDescBarePtr(), kComputeNodeIndex, compute_node_index))((AddConstInputNode(graph, copy_flow_launch_node, host_inputs_addr_index)) == ge::SUCCESS)((ReplaceCopyFlowLaunchNode(graph, copy_node, copy_flow_launch_node, input_anchor_index, output_anchor_index)) == ge::SUCCESS)[%s:%d]%lu %s:src node name %s, src node type %s[%s:%d]%lu %s:link from src node name %s, src node type %s((copy_flow_launch_node->GetInControlAnchor()->LinkFrom(tilling_node->GetOutControlAnchor())) == ge::SUCCESS)((AddCtrlEdgeFromTilingNode(copy_flow_launch_node, copy_nodes[0].guarder_node)) == ge::SUCCESS)((FuseCopyNodes(node->GetOwnerComputeGraph(), copy_nodes, changed)) == ge::SUCCESS)AddCtrlEdgeFromTilingNodeReplaceCopyFlowLaunchNodeCreateConstNodeGetContinuousVector2DByVector2DAddConstInputNodeAddOutputDescAddInputDescCreateCopyFlowLaunchNodeFuseCopyNodesDebugInfoForCopyNodeFindCopyNodesRunN4gert2bg18CopyFlowLaunchFuseEmodel_out_tensor_zero_copy.cc((alloc_node) != nullptr)OutputData_(!output_data_nodes.empty())((shape_anchor) != nullptr)_pass_changed_info((inner_netoutput) != nullptr)((output_data_anchor) != nullptr)((ge::NodeUtils::AppendInputAnchor(alloc_node, alloc_input_num + 1)) == ge::SUCCESS)[%s:%d]%lu %s:AppendInputForAllocNode create InnerData:%s(ge::AttrUtils::SetInt(op_desc, "index", static_cast(parent_input_num)))((op_desc->AddOutputDesc("y", ge::GeTensorDesc())) == ge::SUCCESS)((data_anchor->LinkTo(alloc_node->GetInDataAnchor(static_cast(alloc_input_num)))) == ge::SUCCESS)((AppendInputForAllocNode(cur_node, output_data_anchor->GetIdx())) == ge::SUCCESS)((ge::NodeUtils::AppendInputAnchor(cur_node, static_cast(input_num + 1))) == ge::SUCCESS)((output_data_anchor->LinkTo(cur_node->GetInDataAnchor(static_cast(input_num)))) == ge::SUCCESS)((output_data_node) != nullptr)((FindAllocNodesInSubgraph(peer_out_node_and_index, alloc_nodes)) == ge::SUCCESS)((GetAllAllocNodes(copy_node, alloc_nodes)) == ge::SUCCESS)[%s:%d]%lu %s:Can not enable zero copy because the alloc node can not be found.[%s:%d]%lu %s:Model out tensor zero copy is enabled, graph:%s((TransformAllocNodesToZeroCopyNodes(copy_node, alloc_nodes)) == ge::SUCCESS)((RemoveInput(alloc_node, static_cast(kernel::AllocModelOutTensorInputs::kAllocator), allocator_and_anchor)) == ge::SUCCESS)((RemoveInput(alloc_node, static_cast(kernel::AllocModelOutTensorInputs::kAllocSize), size_and_anchor)) == ge::SUCCESS)((RemoveInput(alloc_node, static_cast(kernel::AllocModelOutTensorInputs::kOutputData), output_and_anchor)) == ge::SUCCESS)((ge::NodeUtils::RemoveInputAnchor( alloc_node, static_cast(kernel::AllocModelOutTensorInputs::kInputNum))) == ge::SUCCESS)((output_and_anchor.second->LinkTo( alloc_node->GetInDataAnchor(static_cast(kernel::SplitTensorForOutputDataInputs::kTensor)))) == ge::SUCCESS)((allocator_and_anchor.second->LinkTo( alloc_node->GetInDataAnchor(static_cast(kernel::SplitTensorForOutputDataInputs::kAllocator)))) == ge::SUCCESS)((size_and_anchor.second->LinkTo( alloc_node->GetInDataAnchor(static_cast(kernel::SplitTensorForOutputDataInputs::kSize)))) == ge::SUCCESS)((ge::NodeUtils::AppendOutputAnchor(alloc_node, static_cast(kernel::SplitTensorOutputs::kNum))) == ge::SUCCESS)((tensor_data_anchor) != nullptr)((ge::GraphUtils::IsolateNode(dst_node, {})) == ge::SUCCESS)((ge::GraphUtils::RemoveNodeWithoutRelink(dst_node->GetOwnerComputeGraph(), dst_node)) == ge::SUCCESS)((ge::GraphUtils::ReplaceEdgeSrc(shape_anchor, dst_anchor, tensor_data_anchor)) == ge::SUCCESS)((Pruner().PruneFromNodes({allocator_and_anchor.first}, changed)) == ge::SUCCESS)((AlwaysZeroCopy(alloc_node)) == ge::SUCCESS)RemoveInputAlwaysZeroCopyAppendInputForAllocNodeTransformAllocNodesToZeroCopyNodesFindAllocNodesInSubgraphstatic ge::TypeID ge::TypeID::Of() [with T = gert::PassChangedKernels]GetAllAllocNodesRunReleaseResourceIndexN4gert2bg22ModelOutTensorZeroCopyEN2ge6AnyMap6HolderIN4gert18PassChangedKernelsEEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderIN4gert18PassChangedKernelsEEESaIS5_ELN9__gnu_cxx12_Lock_policyE2EEtrust_out_tensor.cc((node_anchor) != nullptr)((model_anchor) != nullptr)((peer_anchor) != nullptr)((split_node) != nullptr)[%s:%d]%lu %s:Find Copy node %s, but which does not the model out copy node(infer_node_out_indexes_to_model_out_index.size() > static_cast(src_anchor->GetIdx()))((PrepareDeleteInferShapeNodes(output_data_node, copy_node, copy_nodes_to_model_out_index, prune_nodes)) == ge::SUCCESS)((output_data_node_and_anchor.first) != nullptr)[%s:%d]%lu %s:The copy node %s input %d does not connect to OutputData, %s instead((ge::GraphUtils::AddEdge(calc_size_node.first->GetOutControlAnchor(), split_node->GetInControlAnchor())) == ge::SUCCESS)((ge::NodeUtils::RemoveInputAnchor(split_node, static_cast(kernel::SplitTensorInputs::kSize))) == ge::SUCCESS)((PrepareDeleteSizeNodes(output_data_node, copy_node, prune_nodes)) == ge::SUCCESS)PrepareDeleteSizeNodesCanBeDeletedPrepareDeleteInferShapeNodesstatic ge::TypeID ge::TypeID::Of() [with T = gert::PassChangedKernels]RunN4gert2bg14TrustOutTensorEinner_data_remover.cc((old_anchor) != nullptr)((new_anchor) != nullptr)((parent_node_) != nullptr)(ret.second)(static_cast(old_index) < subgraph_and_inner_data_nodes.second.size())(ge::AttrUtils::SetInt(inner_data->GetOpDescBarePtr(), "index", new_index))(ge::IntegerChecker::Compat(input_indexes_to_used_count_.size()))((src_anchor->Unlink(old_anchor)) == ge::SUCCESS)((src_anchor->LinkTo(new_anchor)) == ge::SUCCESS)[%s:%d]%lu %s:Remove useless input index %d from node %s((ge::NodeUtils::RemoveInputAnchor(parent_node_, new_index)) == ge::SUCCESS)(ge::AttrUtils::GetInt(node->GetOpDescBarePtr(), "index", index))Invalid index %d of InnerData %s in subgraph %s, exceeds the input num %zu of node %s(static_cast(index) < input_num)((ctrl->inputs_stat.Init()) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe subgraph %s does not belongs to node %s, or the `Init` method has not been called((ge::GraphUtils::IsolateNode(node, {})) == ge::SUCCESS)((ge::GraphUtils::RemoveNodesWithoutRelink(subgraph, {node})) == ge::SUCCESS)(i < input_indexes_to_used_count_.size())(input_indexes_to_used_count_[i]-- > 0U)(subgraphs_to_cached_node_.find(graph) != subgraphs_to_cached_node_.end())((node->inputs_stat.RemoveUnusedInnerDataNodes(graph, changed)) == ge::SUCCESS)((node->inputs_stat.RemoveUnusedInputs()) == ge::SUCCESS)((AddGraph(graph)) == ge::SUCCESS)((RemoveAllInnerDataNodes(graph, tmp_changed)) == ge::SUCCESS)((AddGraph(parent_graph)) == ge::SUCCESS)RemoveUnusedInnerDataNodesRemoveAllInnerDataNodesAddGraphInitUpdateInnerDataIndexRemoveUnusedInputsRemoveUnusedInnerDataNodespruner.cc((peer_node) != nullptr)_Replaced_NoOp[%s:%d]%lu %s:GetParentInputAndAnchor success, node name %s[%s][%s:%d]%lu %s:Node[%s]: all_out_data_anchors.size=[%zu].[%s:%d]%lu %s:Node[%s]: out_data_anchor->GetPeerInDataAnchors().size=[%zu].((IsInnerDataType(node->GetType())) && ((index <= node->GetAllInDataAnchorsSize())))[%s:%d]%lu %s:in node:%s index:%u[%s:%d]%lu %s:Returned peer_out_node is nullptr because no attr[%s] on DATA[%s] node![%s:%d]%lu %s:Node [%s] type [%s], real peer in node [%s] type[%s].[%s:%d]%lu %s:Node [%s] type [%s], real peer in node [%s] type[%s] has subgraph. Current not support.((sub_graph_netoutput) != nullptr)((ge::GraphUtils::ReplaceNodeAnchors(no_op_node, old_node, {}, {0})) == ge::GRAPH_SUCCESS)((ge::GraphUtils::RemoveJustNode(compute_graph, old_node)) == ge::GRAPH_SUCCESS)((no_op_node->SetOwnerComputeGraph(compute_graph)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Replace node %s[%s] with node %s[%s] success![%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to delete node %s((GetNodeInputFromInit(node, 0, node_in_init)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Prepare delete node %s[%s] in init((DealWithInnerData(node.first)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Delete guarder node %s along with alloc node %s by pruner((ge::GraphUtils::IsolateNode(guard_node, {})) == ge::SUCCESS)((ge::GraphUtils::RemoveNodeWithoutRelink(graph, guard_node)) == ge::SUCCESS)[%s:%d]%lu %s:Delete alloc node %s by pruner((ge::GraphUtils::IsolateNode(alloc_node, {})) == ge::SUCCESS)[%s:%d]%lu %s:Delete node %s by pruner((DeleteNode(is_resource_alloc, node.first)) == ge::SUCCESS)DeleteResourceAllocAndFreeNodesDeleteNodeReplaceNodeWithNoOpGetNodeInputFromInitGetParentInputAndAnchorDealWithInnerDataIsSingleOutAndRefPruneFromNodesReleaseResourceIndex((tensor_result) != nullptr)placed_lowering_result.cc((output_result) != nullptr)((target_result) != nullptr)((generator) != nullptr)outputs.size()SyncStream_((dst_allocator) != nullptr)((output_addr) != nullptr)((tensor_result->shape) != nullptr)[%s:%d]%lu %s:Create copy nodes from placement %d to %d for the %d output of node %s[%s:%d]%lu %s:The ordered holder does not point to a node on execute graph, do not gen tensor copy nodes on init graph[%s:%d]%lu %s:There are ordered holders from Init node, node %s((generator(node_, global_data, td->GetDataType(), *output_result, target_addr_desc.logic_stream_id, *target_result)) == ge::SUCCESS)((bg::ValueHolder::CreateVoidGuarder("FreeMemory", output_addr, {})) != nullptr)((current_allocator) != nullptr)((MakeSureAtDevice(node, global_data, data_type, src, current_allocator, dst)) == ge::SUCCESS)[%s:%d]%lu %s:The num of shapes and address are different %zu, %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid output index %d, max size %zu((no_dependent_result) != nullptr)MakeSureAtDeviceHbmMakeSureAtDeviceMakeSureAtDeviceP2pMakeSureAtHostDDRHostToDeviceHbmHostToDeviceHostToDeviceP2pCreateFromNodeCreateFromNodeLegacyCreateVoidLegacyCreateVoidDeviceHbmToHostCreateRawTensorResultCreateDataDependentResultShouldGenOnInitCreateNoDataDependentResultGetOrCreateNoDataDependentResultGetOutputResultGetOutputTensorResultPlacedLoweringResult*ZN4gert12_GLOBAL__N_115DeviceHbmToHostEPKN2ge4NodeERNS_18LoweringGlobalDataENS1_8DataTypeERKNS_17OutputLowerResultElRS8_EUlvE_*ZN4gert20PlacedLoweringResult27CreateNoDataDependentResultERNS_18LoweringGlobalDataEiRNS_14TargetAddrDescEEUlvE_static_compiled_graph_converter.cc[%s:%d]%lu %s:transform rt memory type[0x%lx] with session scope[%s:%d]%lu %s:transform rt memory type[0x%lx] to memory placement[%u][%s:%d]%lu %s: ErrorNo: %u(%s) %stransform rt memory type[0x%lx] to memory placement failed[%s:%d]%lu %s:graph: %s, tbe kernel empty: %d, aicpu is empty: %d, task size is:%d[%s:%d]%lu %s:lowering as static compiled graph is needed for %s.[%s:%d]%lu %s:lowering as static compiled graph is not needed for %s.[%s:%d]%lu %s:need to malloc fixed_feature_memory base. type: %s, addr: %p, size: %zu[%s:%d]%lu %s:no need to malloc fixed_feature_memory base. type: %s, addr: %p, size: %zu(flatten_weight.size() == kFlattenKeySize)ge.exec.static_model_addr_fixed((MallocFixedFeatureMemIfNeed(global_data, (0x2U), all_fixed_mem_holder[kHbmFixedAddrIndex], all_fixed_mem_holder[kHbmFixedSizeIndex], all_fixed_mem_holder[kHbmFixedTensorDataIndex])) == ge::SUCCESS)((MallocFixedFeatureMemIfNeed(global_data, (0x11U), all_fixed_mem_holder[kP2pFixedAddrIndex], all_fixed_mem_holder[kP2pFixedSizeIndex], all_fixed_mem_holder[kP2pFixedTensorDataIndex])) == ge::SUCCESS)((MallocFixedFeatureMemIfNeed(global_data, fixed_holder)) == ge::SUCCESS)[%s:%d]%lu %s:Start lowering static model of graph %s[%s:%d]%lu %s:Assemble static model of graph %s(!davinci_model_create.empty())IsValidHolder(davinci_model_holder), as fixed mem, skip alloc here], Invalid memory placement[0x%lx]placement != kTensorPlacementEnd[%s:%d]%lu %s:total workspace_holders num: %zu, %s((MallocWorkspaceMem(static_model, global_data, workspace_holders, owned_memories)) == ge::SUCCESS)((StaticModelOutputAllocator::GenerateOutputsReuseInfos(graph, output_reuse_infos)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Reuse info of static graph %s: %s(IsValidHolder(update_workspaces_holder))((lower_data_result) != nullptr)lower_data_result->out_shapes.size() == 1Ulower_data_result->out_addrs.size() == 1UModel data node %s have no placed lowering result[%s:%d]%lu %s:Model data %s device addr from %s[%s:%d]%lu %s:Start lowering static compiled graph %s[%s:%d]%lu %s:Data %s seems not subgraph input, maybe %s is a static compiled root graph?ge::AttrUtils::GetInt(op_desc, ge::ATTR_NAME_INDEX, index)((CollectGraphInputsAndNetOutput(graph, data_nodes, net_output)) == ge::SUCCESS)[%s:%d]%lu %s:Graph %s has %zu inputs and %u outputs((model_inputs.result).IsSuccess())[%s:%d]%lu %s:Graph model %s num lower inputs %zuCompile result of static graph %s not foundmodel_lower_result.result.IsSuccess()[%s:%d]%lu %s:Graph model %s num lower outputs %zu[%s:%d]%lu %s:Start build static compiled graph %s outputs((in_anchor->GetPeerOutAnchor()->GetOwnerNodeBarePtr()) != nullptr)(static_cast(dst_index) <= inputs.input_shapes.size())(static_cast(dst_index) <= inputs.input_addrs.size())[%s:%d]%lu %s:Graph output %d ref from node %s output %d[%s:%d]%lu %s:Start assemble lower result of node %s type %sin_node->GetOpDescBarePtr()->SetExtAttr( kLoweringResult, PlacedLoweringResult(in_node, std::move(node_and_lower_result.second)))[%s:%d]%lu %s:Start lowering static graph net-output %sFailed lower static graph net-output node %s((fixed_mem) != nullptr)((fixed_mem_size) != nullptr)(!init_outputs.empty())EmptyFixedFeatureMemory_IsValidHolder(model_holder)WorkspaceMemFromInit, size: 0], , placement: outputs num: , no reuse outputs: [], reuse outputs: [->], reuse inputs: [], reference outputs: [...%s get index failedBuildKnownSubgraphOutputsConstructStaticModelInputsCollectGraphInputsAndNetOutputLoweringStaticCompiledComputeGraphMallocWorkspaceMemGetPlacementMallocFixedFeatureMemIfNeedMallocFixedFeatureMemIfNeedGetFlattenOffsetInfoCreateDavinciModelOnInitRootCreateDavinciModelLoweringStaticModelIsNeedLoweringAsStaticCompiledGraphIsStaticCompiledGraphHasTaskToLaunchstatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]*ZZN4gert12_GLOBAL__N_127MallocFixedFeatureMemIfNeedERNS_18LoweringGlobalDataEjRSt10shared_ptrINS_2bg11ValueHolderEES7_S7_ENKUlvE_clEvEUlvE_*ZZN4gert12_GLOBAL__N_127MallocFixedFeatureMemIfNeedERNS_18LoweringGlobalDataEjRSt10shared_ptrINS_2bg11ValueHolderEES7_S7_ENKUlvE0_clEvEUlvE_*ZN4gert12_GLOBAL__N_127MallocFixedFeatureMemIfNeedERNS_18LoweringGlobalDataEjRSt10shared_ptrINS_2bg11ValueHolderEES7_S7_EUlvE_*ZN4gert12_GLOBAL__N_127MallocFixedFeatureMemIfNeedERNS_18LoweringGlobalDataEjRSt10shared_ptrINS_2bg11ValueHolderEES7_S7_EUlvE0_*ZZN4gert12_GLOBAL__N_128CreateDavinciModelOnInitRootERKSt10shared_ptrIN2ge12ComputeGraphEEPNS2_7GeModelERNS_18LoweringGlobalDataEENKUlvE_clEvEUlvE_*ZN4gert12_GLOBAL__N_128CreateDavinciModelOnInitRootERKSt10shared_ptrIN2ge12ComputeGraphEEPNS2_7GeModelERNS_18LoweringGlobalDataEEUlvE_*ZN4gert12_GLOBAL__N_118CreateDavinciModelERKSt10shared_ptrIN2ge12ComputeGraphEEPNS2_7GeModelERNS_18LoweringGlobalDataEEUlvE_can not find data node(iter != data_indices.cend())alloc output memory failed((ge::TensorUtils::CalcTensorMemSize(ge_tensor_desc->GetShape(), ge_tensor_desc->GetFormat(), ge_tensor_desc->GetDataType(), tensor_size)) == ge::SUCCESS)static_model_output_allocator.cc[%s:%d]%lu %s:Static graph [%s] output[%d] ref to node [%s], base_memory_type:variable, var_name:%s[%s:%d]%lu %s:Node %s is not ref node.[%s:%d]%lu %s:Input node of Node %s is %s, not Data.[%s:%d]%lu %s:output_offset_of_src node %s is %ld, output_offset_of_peer_data of node %s is %ld. Can not reuse input.[%s:%d]%lu %s:Node %s output_index:%d, offset:%ld, is ref from data %s, offset:%ld[%s:%d]%lu %s:output[%u] reuses input[%d][%s:%d]%lu %s: ErrorNo: %u(%s) %scan not find data nodenode: %s input_index: %d, input_offset size: %zu(static_cast(input_index) < input_offset.size())[%s:%d]%lu %s:[%s] output [%d] reuse output [%d], data_offset: %ld.[%s:%d]%lu %s:ref outputs is empty[%s:%d]%lu %s: ErrorNo: %u(%s) %ssize not match! ref_output_addr_holders size is %zu, mem_base_types_offsets size is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %scalc tensor size by shape failed[%s:%d]%lu %s: ErrorNo: %u(%s) %ssize not match! alloc_mem_holders size is %zu, size_holders size is %zu(IsValidHolder(malloced_output_addr_holders))index:%zu, malloced_output_addr_holders size:%zumalloced_index < malloced_output_addr_holders.size()index:%zu, ref_output_addr_holders size:%zuref_output_index < ref_output_addr_holders.size()index:%zu, ref_var_addr_holders size:%zuref_var_index < ref_var_addr_holders.size()index:%d, input_addrs size:%zustatic_cast(output_info.reuse_index) < input_addrs_.size()index:%d, all_output_holders size:%zustatic_cast(output_info.reuse_index) < all_output_holders.size()((ge::TensorUtils::GetDataOffset(*tensor_desc, data_offset)) == ge::GRAPH_SUCCESS)((CalcTensorSize(ref_output_info.ge_tensor_desc_ptr, tensor_size)) == ge::SUCCESS)[%s:%d]%lu %s:Static graph [%s] output[%d] ref to node [%s], base_memory_type:%u, data_offset:%ld, size:%lu[%s:%d]%lu %s:[%s] Subgraph do not got net outputDuplicated data index %d on graph %sordered_data_nodes.emplace(index, node).second((GetDataNodes(*graph, data_indices)) == ge::SUCCESS)Param:net_output_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:net_output_desc]null is invalidParam:in_data_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_data_anchor]null is invalidParam:out_data_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:out_data_anchor]null is invalidParam:src_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_node]null is invalidParam:src_node->GetOpDescBarePtr() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_node->GetOpDescBarePtr()]null is invalid((ParseReuseOutputs(net_output_desc, offset_to_index_map, input_index, output_reuse_info)) == ge::SUCCESS)((ParseReuseInputs(data_indices, src_node, out_data_anchor->GetIdx(), output_index, output_reuse_info)) == ge::SUCCESS)((ParseRefOutputs(src_node, net_output_desc, output_index, output_reuse_info)) == ge::SUCCESS)GetNoReuseOutputsSizeAllocAllOutputsForNoReuseGetRefOutputsAddressAllocAllOutputsForRefOutputTypeAllocAllOutputsGetDataNodesGenerateOutputsReuseInfosParseReuseOutputsParseRefVariableCalcTensorSizeParseRefOutputsParseReuseInputs((session) != nullptr)((rt_streams) != nullptr)(rt_streams->GetSize() > 0)(is_tensor_size_valid)((context_head) != nullptr)(ctx_id_vec[idx] < total_num)(device_id >= 0)((holder_node) != nullptr)((dumper) != nullptr)((rt_ret) == 0)Invalid((compute_graph) != nullptr)((Init()) == ge::SUCCESS)overflow[%s:%d]%lu %s:[Dumper] Recognize davinci model in rt2, is_model_start %d.((extend_info_->root_graph) != nullptr)[%s:%d]%lu %s:[Dumper] Set single op flag for dump debug.[%s:%d]%lu %s:[Dumper] Save inner davinci model exception dumpers.[%s:%d]%lu %s:[Dumper] Save exception dumper of davinci model failed.((rtGetTaskIdAndStreamID(&task_id, &stream_id)) == EOK)[%s:%d]%lu %s:Op[%s, %s] input desc[shape:%s, original_shape:%s, dtype:%d, format:%d][%s:%d]%lu %s:Update op[%s:%s] input shape, storage shape[%s] original shape[%s][%s:%d]%lu %s:Op[%s, %s] output desc[shape:%s, original_shape:%s, dtype:%d, format:%d][%s:%d]%lu %s:Update op[%s:%s] output shape, storage shape[%s] original shape[%s][%s:%d]%lu %s:[Dumper] Can not find kernel %s[Dumper] Can not find out kernel [%s] from equivalent data anchors.(symbol_iter != extend_info_->anchors_to_symbol.cend())[Dumper] Can not find out kernel [%s] from symbol to values.(value_iter != extend_info_->symbols_to_value.cend())[%s:%d]%lu %s:[Dumper] The address of node %s is not device addr. Start copy h2d.[%s:%d]%lu %s:Calc][TensorSizeByShape] Get data type[%s] size less than zero.[%s:%d]%lu %s:[Calc][TensorSizeByShape] shape_size[%ld], data_type[%s]Built in tensor data size %zu < calc_tensor_size %zu, do nothing.((rtMalloc(&device_addr, tensor_size, (0x2U), static_cast(GE))) == 0)((rtMemcpy(device_addr, tensor_size, host_addr, tensor_size, RT_MEMCPY_HOST_TO_DEVICE)) == 0)[%s:%d]%lu %s:[Dumper] Copy h2d failed, skip dump node %sParam:task_info_para is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task_info_para]null is invalidParam:task_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task_info]null is invalid(ctx_id < task_info->fftsPlusSqe->totalContextNum)[%s:%d]%lu %s:Set dump flag for mixl2 node %s, context id %u.[%s:%d]%lu %s:Set dump flag for ffts+ node %s, context list [%s].[%s:%d]%lu %s:[Dumper] [%s] is not in dump list, no need to dump[%s:%d]%lu %s:[Dumper] Start to dump, op name: %s, type: %s((rtMalloc(&step_id, sizeof(uint64_t), (0x2U), static_cast(GE))) == 0)[%s:%d]%lu %s:Save ffts dump op:%s Successfully[%s:%d]%lu %s:[Dumper] Node %s input addr or output addr size is invalid, input addr size is %zu, output addr size is %zu, op desc input size is %zu, output size is %zu.((GetKernelStream(exe_node, stream)) == ge::SUCCESS)((rtMemcpy(step_id, sizeof(uint64_t), &iteration_num_, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)) == 0)[%s:%d]%lu %s:[Dumper] Is single op %d[Dumper] Launch DumpOp failed in hybrid model.((dump_op.LaunchDumpOp(dump_properties.IsSingleOpNeedDump())) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper] Launch dump op:%s Successfully[%s:%d]%lu %s:OpDebug is open in RT2.0[%s:%d]%lu %s:[Overflow][Dumper]model name[%s], model id[%u].rtMalloc(&step_id, sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(step_id, sizeof(uint64_t), &iteration_num_, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadDumpInfo] failed in hybrid engine, model_id = %u.(data_dumpers_.size() == streams_->GetSize())(op_debug_registers_.size() == streams_->GetSize())[%s:%d]%lu %s:Dump op debug SUCCESS in RT2.0[Dumper]Can not find order holder [%s] of node [%s] from subgraph of control nodes.((InitOrderHoldersFromExeGraph(holder_node->GetName(), dump_unit)) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper]Can not find order holder [%s] of node [%s] from subgraph of control nodes.[%s:%d]%lu %s:[Dumper] Find order holder [%s] of node [%s] from subgraph in control nodes.((InitOrderHoldersFromControlNodes(order_holder, dump_unit)) == ge::SUCCESS)((exe_graph_executor) != nullptr)[%s:%d]%lu %s:Exception dump filler result %u, node %s, kernel %s.[%s:%d]%lu %s:Dump filler result %u, node %s, kernel %s.Dump filler failed, node %s, kernel %s.[%s:%d]%lu %s:[Dumper] Begin exception dump preparation for node %s[%s:%d]%lu %s:Input addr or output addr size is invalid.((processors[static_cast(processor_type)](op_desc, dumper, dump_unit, extra_dump_unit)) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper] Find out shape kernel [%s] of node [%s] from equivalent data anchors.[Dumper] Can not find out shape kernel [%s] of node [%s] from equivalent data anchors.((InitOutputChainFromEquivalentDataAnchors(name_and_idx, dump_unit.output_shapes)) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper] Find out addr kernel [%s] of node [%s] from equivalent data anchors.[Dumper] Can not find out addr kernel [%s] of node [%s] from equivalent data anchors.((InitOutputChainFromEquivalentDataAnchors(name_and_idx, dump_unit->output_addrs)) == ge::SUCCESS)((FillDumpInfoByKernel(node)) == ge::SUCCESS)((FillDumpInfoByKernel(node, true)) == ge::SUCCESS)((node.context.kernel_extend_info) != nullptr)[%s:%d]%lu %s:[Overflow][Dumper]Current kernel has no compute node info. Kernel name[%s], kernel type[%s]((GetKernelStream(&node, cur_stream)) == ge::SUCCESS)[%s:%d]%lu %s:[Overflow][Dumper]Dynamic shape op overflow has been detected, node[%s], type[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtStreamSynchronizeWithTimeout] failed, stream synchronize timeout:%d, ret:%d.rtStreamSynchronizeWithTimeout failed, stream synchronize timeout:%d, ret:%d.((CheckOverflow(node, cur_stream, is_overflow)) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper] workspace_info kernel_name:%s[%s:%d]%lu %s:[Dumper] workspace_info aicpu_addr&size:%lu %lu((DoDataDump(node_names_to_dump_units_[compute_node_info->GetNodeName()], hccl_dump_properties)) == ge::SUCCESS)[%s:%d]%lu %s:Current node:%s output shapes size is:%zu, out_idx:%d, input idx is %d, input shape size is %zu.[%s:%d]%lu %s:Current node:%s output addrs size is:%zu, out_idx:%d, input idx is %d, input addrs size is %zu.(compute_graph->GetName() != kInvalidGraphName)[%s:%d]%lu %s:[Dumper] Start to init dumper.((InitByGraphType(kMainExeGraph)) == ge::SUCCESS)((InitByGraphType(kInitExeGraph)) == ge::SUCCESS)((InitDumpUnits()) == ge::SUCCESS)((SetForDumpDebug()) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper] Init dumper successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %sExe graph is nullptr, dumper will do nothing.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit dumper failed, dumper does nothing.((SetOverflowDumpFlag(event, node)) == ge::SUCCESS)[%s:%d]%lu %s:[Dumper] Start to do %s dump for op:%s((DoDataDump(*dump_unit, dump_properties, &node)) == ge::SUCCESS)((SetDumpFlagForFfts(kernel_type, node)) == ge::SUCCESS)((FillDumpInfoByKernel(*node)) == ge::SUCCESS)((OnUpdateDumpUnit(event, *node)) == ge::SUCCESS)((UpdateFftsplusLaunchTask(node)) == ge::SUCCESS)((SaveSessionId()) == ge::SUCCESS)((SaveRtStream()) == ge::SUCCESS)((DumpOpDebug()) == ge::SUCCESS)[Overflow][Dumper]Processing overflow dump, while op debug status is not open, please check.(dump_properties.IsOpDebugOpen())((OnUpdateDumpUnit(event, *node, true)) == ge::SUCCESS)(streams_->GetSize() == data_dumpers_.size())((data_dumpers_[i]->UnloadDumpInfoByModel( static_cast(reinterpret_cast(extend_info_->executor)))) == ge::SUCCESS)Node Info: Tiling key: Args before execute: Args addr: Args size: Workspace addr: Workspace size: (ctx.thread_id != thread_id)NormalProcessorOverflowDumpoperator()DumpOpDebugOnUpdateDumpUnitCheckOverflowSetOverflowDumpFlagSaveInnerExceptionDumpersSaveExceptionDumperOfDavinciModelsSaveRtStreamSaveSessionIdExceptionDumpDebugLogStringPrepareExceptionDumpFillExtraOpInfoDataDumpFillDumpInfoByKernelSetDumpFlagForFftsSetDumpFlagForMixl2InsertHcclDumpOpCopyH2DGetDumpAddrFromChainAddroperator()DoDataDumpUpdateFftsplusLaunchTaskUpdateOutputShapesUpdateInputShapesSaveWorkSpaceAddrForAiCpuLaunchCCNodeExecutorDumperInitSetForDumpDebugLoadDumpTaskForDavinciModelsInitByGraphTypeCreateFftsCtxInfostatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]InitDumpUnitsInitOrderHoldersInitOrderHoldersFromControlNodesInitOrderHoldersFromExeGraphInitInputAddrsInitOutputAddrsInitInputShapesInitOutputChainFromMainGraphInitOutputShapesInitOutputChainFromEquivalentDataAnchorsstatic ge::TypeID ge::TypeID::Of() [with T = gert::PassChangedKernels]*ZN4gert14ExecutorDumper10DoDataDumpERNS_12NodeDumpUnitERKN2ge14DumpPropertiesEPK4NodeEUlvE_*ZN4gert14ExecutorDumper11DumpOpDebugEvEUlvE_FjRKSt10shared_ptrIN2ge6OpDescEEPNS0_15ExceptionDumperERN4gert12NodeDumpUnitERNS0_11ExtraOpInfoEEN4gert19DataDumpInfoWrapperEN4gert24ExceptionDumpInfoWrapperEN2ge32ExecutorExceptionDumpInfoWrapperEN4gert27ExecutorDataDumpInfoWrapperEPFjRKSt10shared_ptrIN2ge6OpDescEEPNS0_15ExceptionDumperERN4gert12NodeDumpUnitERNS0_11ExtraOpInfoEESt23_Sp_counted_ptr_inplaceIN2ge10DataDumperESaIS1_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge15OpdebugRegisterESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEhost_executor_dumper.cc/0/pid\d{1,}NULSOHSTXETXEOTENQalertbackspacenewlinevertical-tabform-feedcarriage-returnSOSIDLEDC1DC2DC3DC4NAKSYNETBCANSUBESCIS4IS3IS2IS1exclamation-markquotation-marknumber-signdollar-signpercent-signampersandapostropheleft-parenthesisright-parenthesisasteriskplus-signcommahyphenperiodzerotwothreefourfivesixsevenninesemicolonless-than-signequals-signgreater-than-signquestion-markcommercial-atJPZleft-square-bracketbackslashright-square-bracketcircumflexunderscoregrave-accentjzleft-curly-bracketvertical-lineright-curly-brackettildeDELalnumalphablankcntrllowerprintpunctupperxdigit[%s:%d]%lu %s:[Data][Dumper]model name[%s], model id[%u].((rtMemcpy(step_id, sizeof(uint64_t), &iteration_num, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)) == 0)[%s:%d]%lu %s:[Dumper] The current step is %lld, not in the dump step[%s:%d]%lu %s:[Dumper] Get worker id succeed, value is %s.[%s:%d]%lu %s:Can not create directory[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sDump op %s failed((SaveWorkSpaceAddrForAiCpuLaunchCCNode(node)) == ge::SUCCESS)((DoHostDataDump(*dump_unit, dump_properties)) == ge::SUCCESS)[%s:%d]%lu %s:[HostDumper] Insert one step:%d[%s:%d]%lu %s:[HostDumper] Insert step range from %d to %d((OnUpdateDumpUnitForHostDump(*node)) == ge::SUCCESS)Unexpected end of regex when escaping.Unexpected end of regex when reading control code.Unexpected end of regex when ascii character.Unexpected escape character.Unexpected end of regex when in an open parenthesis.Invalid special open parenthesis.Unexpected end of regex when in brace expression.Unexpected character in brace expression.Unexpected end of character class.Unexpected end of regex when in bracket expression.Unexpected character class open bracket.^$\.*+?()[]{}|.[\*^$.[\()*+?{|^$.[\*^$ .[\()*+?{|^$ <"!!!!! L  -0-h-----...-8/,Number of NFA states exceeds limit. Please use shorter regex string, or use smaller brace expression, or make _GLIBCXX_REGEX_STATE_LIMIT larger.Unexpected back-reference in polynomial mode.Back-reference index exceeds current sub-expression count.Back-reference referred to an opened sub-expression.Nothing to repeat before a quantifier.Unexpected token in brace expression.Unexpected end of brace expression.Invalid range in brace expression.Invalid collate element.Invalid equivalence class.Invalid character class.Unexpected dash in bracket expression. For POSIX syntax, a dash is not treated literally only when it is at beginning or end.Invalid range in bracket expression.Character is expected after a dash.Unexpected character in bracket expression.Parenthesis is not closed.HostDataDumpParseDumpStepOnUpdateDumpUnitForHostDumpoperator()DoHostDataDumpSetOpDescInfoGetDumpAddrFromChainAddrOnHostHostExecutorDumper*ZN4gert18HostExecutorDumper14DoHostDataDumpERNS_12NodeDumpUnitERKN2ge14DumpPropertiesEEUlvE_St23_Sp_counted_ptr_inplaceINSt8__detail4_NFAISt12regex_traitsIcEEESaIS4_ELN9__gnu_cxx12_Lock_policyE2EENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb1EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb0EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb1EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb0EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb1EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb0EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb1EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb0EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb1EEEwwexecutor_subscribers_scheduler.cc[%s:%d]%lu %s:The built in subscriber %zu already exists, ignore the add operationAddBuiltInAddBuiltInAddBuiltInAddBuiltInAddBuiltInAddBuiltInAddBuiltIn*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE_*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE0_*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE1_*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE2_*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE3_*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE4_*ZN4gert28ExecutorSubscribersScheduler4InitERKSt10shared_ptrIKNS_20SubscriberExtendInfoEEEUlvE5_St15_Sp_counted_ptrIPN4gert25ExecutorSubscriberGuarderELN9__gnu_cxx12_Lock_policyE2EEbase_executor_profiler.ccUnknownNodeName(node->node_id < execution_data.base_ed.node_num)InitNameAndTypeWithHashcann_host_profiler.cc(((MsprofReportApi(true, &host_sch_data)) == MSPROF_ERROR_NONE) || ((MsprofReportApi(true, &host_sch_data)) == MSPROF_ERROR_UNINITIALIZE))[%s:%d]%lu %s:Kernel context is nullptr.[%s:%d]%lu %s:Kernel extend info is nullptr.[%s:%d]%lu %s:[Cann Profiling] Execution data is empty, do not init profiler.[%s:%d]%lu %s:[Cann Profiling] Init for cann host profiling.DoProfInitInitHostSchDataN4gert20BaseExecutorProfilerEN4gert16CannHostProfilerEcann_memory_profiler.cc(subgraph_type < static_cast(prof_extend_info_vec_.size()))(node->node_id < prof_extend_info.size())[%s:%d]%lu %s:[CannMemoryProfiler][DoProf] Report memory info: node_id: %llu, addr: %llu, size: %lld, total allocate size: %llu, total reserve size: %lld, time stamp: %llu(((MsprofReportAdditionalInfo(true, &task_memory_info_, static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_NONE) || ((MsprofReportAdditionalInfo(true, &task_memory_info_, static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_UNINITIALIZE))[%s:%d]%lu %s:[Cann Profiling] Init for cann memory profiling for subgraph[%ld].InitDoProfN4gert18CannMemoryProfilerEcann_profiler.ccstep_infotask_desc_infodynamic_op_executeNode is empty in root graphtensor_data_info((kernel_context) != nullptr)((strncpy_s(reporter_data.tag, sizeof(reporter_data.tag), tag_name.c_str(), tag_name.size())) == EOK)Profiling reporter report failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ProfilingReporter]Failed, ret 0x%X((rtProfilerTraceEx(iteration_num_, static_cast(model_identity_), tag_id, stream_)) == 0)((rtGetTaskIdAndStreamID(&step_info.taskId, &step_info.streamId)) == 0)[%s:%d]%lu %s:Profiling Step Info TraceTask execute async success, index_id = %lu, model_id = %lu, tag_id = %u, task_id = %u, stream_id = %u((ReportData(device_id_, &step_info, sizeof(step_info), kStepTagName)) == ge::SUCCESS)[%s:%d]%lu %s:[Cann Profiling] Report host profiling data.(node->node_id < host_sch_infos_.size())[%s:%d]%lu %s:[Cann Profiling] Model id is %u.[%s:%d]%lu %s:[Cann Profiling] shape size [%zu] does not equal to tensor size [%zu].[%s:%d]%lu %s:[Cann Profiling] Init for graph inference.[%s:%d]%lu %s:[Cann Profiling] compute_graph is nullptr.[%s:%d]%lu %s:[Cann Profiling] There is no ATTR_SINGLE_OP_SCENE for graph:%s. Start search all node.[%s:%d]%lu %s:[Cann Profiling] Is single op profiling %d[%s:%d]%lu %s:[Cann Profiling] Init task info.((memcpy_s(host_sch_infos_[i].reserve, 24, &op_name_hash, sizeof(op_name_hash))) == EOK)((memcpy_s(tensor_info_wrapper.tensor_info.reserve, sizeof(tensor_info_wrapper.tensor_info.reserve), &prof_time, sizeof(prof_time))) == EOK)((ReportData(device_id_, &tensor_info_wrapper.tensor_info, sizeof(tensor_info_wrapper.tensor_info), kTensorTagName)) == ge::SUCCESS)((rtGetTaskIdAndStreamID(&task_id, &stream_id)) == 0)[%s:%d]%lu %s:[Cann profiling] Task id is %u, stream id is %u((RecordTaskInfo(*node, prof_time, task_id, stream_id)) == ge::SUCCESS)((RecordTensorInfo(*node, prof_time, task_id, stream_id)) == ge::SUCCESS)(node->node_id < task_infos_.size())[%s:%d]%lu %s:[Cann profiling] Can not find node %s[Cann Profiling] Can not find out kernel [%s] from equivalent data anchors.(symbol_iter != extend_info_->anchors_to_symbol.end())[Cann Profiling] Can not find out kernel [%s] from symbol to values.(value_iter != extend_info_->symbols_to_value.end())(input_shapes.size() == input_num)[%s:%d]%lu %s:[Cann Profiling] out idx [%d] is over out_shapes size [%zu] in lower result.(node->node_id < prof_extend_infos_.size())[%s:%d]%lu %s:Kernel %s has no compute node info, skip task info and tensor info.[%s:%d]%lu %s:[Cann Profiling] Node name is %s, node type is %s, tensor size is %zu((InitShapeInfo(compute_graph, kernel_names_2_exe_nodes)) == ge::SUCCESS)((InitTaskAndTensorInfo(*execution_data, compute_graph)) == ge::SUCCESS)[%s:%d]%lu %s:[Cann Profiling] Init for cann device profiling.UpdateModelIdDoDeviceProfDoHostProfRecordHostSchDataRecordTensorInfoRecordTaskAndTensorInfoReportStepInfoReportDataInitForCannHostInitHostSchDataInitForCannDeviceIsSingleOpSceneInitForGraphInferencestatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]InitForCannDeviceInitTensorInfoInitTaskAndTensorInfoInitInputShapeInfostatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]InitTaskInfoInitShapesstatic ge::TypeID ge::TypeID::Of() [with T = gert::PassChangedKernels]InitOutputChainFromEquivalentDataAnchorsN4gert12CannProfilerEadd_info->input_tensor_numcann_profiler_v2.ccadd_info->output_tensor_num((addition_info) != nullptr)__VECTORCORE__higherInvalid json str %s(higher_val >= lower_val)(!slice_info_json.is_null())input_tensor_sliceoutput_tensor_slice(node_id < prof_extend_infos_.size())(node_id < node_addition_infos_.size())(((MsprofReportCompactInfo(true, basic_info, sizeof(MsprofCompactInfo))) == MSPROF_ERROR_NONE) || ((MsprofReportCompactInfo(true, basic_info, sizeof(MsprofCompactInfo))) == MSPROF_ERROR_UNINITIALIZE))(((MsprofReportAdditionalInfo(true, &tensor_info_wrapper.tensor_info, sizeof(MsprofAdditionalInfo))) == MSPROF_ERROR_NONE) || ((MsprofReportAdditionalInfo(true, &tensor_info_wrapper.tensor_info, sizeof(MsprofAdditionalInfo))) == MSPROF_ERROR_UNINITIALIZE))(((MsprofReportCompactInfo(true, &addition_info->node_basic_info, sizeof(MsprofCompactInfo))) == MSPROF_ERROR_NONE) || ((MsprofReportCompactInfo(true, &addition_info->node_basic_info, sizeof(MsprofCompactInfo))) == MSPROF_ERROR_UNINITIALIZE))(((MsprofReportAdditionalInfo(true, &addition_info->context_info, sizeof(MsprofAdditionalInfo))) == MSPROF_ERROR_NONE) || ((MsprofReportAdditionalInfo(true, &addition_info->context_info, sizeof(MsprofAdditionalInfo))) == MSPROF_ERROR_UNINITIALIZE))(node.node_id < node_addition_infos_.size())[%s:%d]%lu %s:[Cann Profiling] ReportedProfCount %llu, ProfCount %llu.(node->node_id < node_addition_infos_.size())((filler(ctx, wrapper)) == ge::SUCCESS)((DoProfByNodeId(report_node_id, prof_time, static_cast(tid))) == ge::SUCCESS)[%s:%d]%lu %s:[Cann Profiling] Op(%s) context size [%zu] is invalid.[%s:%d]%lu %s:[Cann Profiling] Op(%s) name hash %llu is not found.[Cann Profiling] Op(%s) name has no atomic node.(atomic_hash_iter != node_hash_to_atomic_node_hash_.end())[Cann Profiling] The atomic name hash for op(%s) is not found.(node_id_iter != name_hash_to_node_id_.end())[Cann Profiling] Op(%s) name has no atomic addition info.(atomic_info_iter != name_hashes_to_node_addition_infos_.end())[%s:%d]%lu %s:[Cann Profiling] Memset core type attr is %s.[%s:%d]%lu %s:[Cann Profiling] out idx [%d] is over peer node out_shapes size [%zu].[%s:%d]%lu %s:[Cann Profiling] Op(%s) name hash is not found.[%s:%d]%lu %s:[Cann Profiling] Op(%s) task type %u is invalid.[%s:%d]%lu %s:[Cann Profiling] node name is %s, node type is %s, tensor size is %zu((InitNodeAtomicContextInfo(op_desc)) == ge::SUCCESS)[%s:%d]%lu %s:Failed to get DfxExtendInfo buffer from compute graph[%s][%s:%d]%lu %s:Failed to get node name buffer from compute graph[%s:%d]%lu %s:Failed to get dfx_extend_info pod from buffer[%s:%d]%lu %s:node name:%s, graph name:%s((ParseContextByNode(node, &kernel_type, &compute_node_info)) == ge::SUCCESS)[%s:%d]%lu %s:Kernel %s has no compute node info.((InitInfoByExecutionNode(name_hash, node->node_id, kernel_type, compute_node_info, node_name_to_dfx_extend_info)) == ge::SUCCESS)((InitShapeAndContextInfo(compute_graph)) == ge::SUCCESS)((lower_json != non_tail[i][j].end()) && (higher_json != non_tail[i][j].end()))Invalid shape, higher %lld, lower %lld[Cann Profiling] Json string %s is invalid.(ascend_nlohmann::json::accept(json_str))[Cann Profiling] Failed to parse json string %s.(input_tensor_slice != slice_info_json.end())(output_tensor_slice != slice_info_json.end())[%s:%d]%lu %s:[Cann Profiling] No shape info in sgt json.((convert_shape(input_tensor_slice.value(), input_shapes)) == ge::SUCCESS)((convert_shape(output_tensor_slice.value(), output_shapes)) == ge::SUCCESS)[%s:%d]%lu %s:[Cann Profiling] Shape filled by attr for node %u.((InitBasicInfoAndTensorInfo(*execution_data, compute_graph, node_name_to_dfx_extend_info)) == ge::SUCCESS)m_object != nullptrcannot compare iterators of different containerscannot use operator[] with a numeric argument with , ,,,other_errortype must be number, but is z      pRecordLaunchBeginTimeDoProfReportMixLaunchKernelDoProfByNodeIdRecordTensorInfoRecordNodeBasicInfostatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]InitForCannDeviceParseContextByNodeInitBasicInfoAndTensorInfoInitTensorInfoInitInfoByExecutionNodeIsNoNeedProfNodesInitInputShapeInfostatic ge::TypeID ge::TypeID::Of() [with T = gert::PlacedLoweringResult]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator*() const [with BasicJsonType = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>&]bool ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator==(const IterImpl&) const [with IterImpl = ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl >; typename std::enable_if<(std::is_same >::value || std::is_same::value, typename std::remove_const<_Tp>::type, const ProtoType>::type> >::value), std::nullptr_t>::type = nullptr; BasicJsonType = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>]void ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::set_end() [with BasicJsonType = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>]operator()ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator*() const [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference = ascend_nlohmann::json_abi_v3_11_2::basic_json<>&]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator->() const [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer = ascend_nlohmann::json_abi_v3_11_2::basic_json<>*]bool ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator==(const IterImpl&) const [with IterImpl = ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl >; typename std::enable_if<(std::is_same >::value || std::is_same::value, typename std::remove_const<_Tp>::type, const ProtoType>::type> >::value), std::nullptr_t>::type = nullptr; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]void ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::set_end() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::end_object() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::key(ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::string_t&) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::string_t = std::basic_string]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::end_array() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = long unsigned int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = std::basic_string&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = long int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = bool&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = std::nullptr_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = double&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = ascend_nlohmann::json_abi_v3_11_2::detail::value_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl& ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator++() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::end_object() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::end_array() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = long unsigned int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = std::basic_string&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = long int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = bool&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = std::nullptr_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = double&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = ascend_nlohmann::json_abi_v3_11_2::detail::value_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]void ascend_nlohmann::json_abi_v3_11_2::basic_json::assert_invariant(bool) const [with ObjectType = std::map; ArrayType = std::vector; StringType = std::basic_string; BooleanType = bool; NumberIntegerType = long int; NumberUnsignedType = long unsigned int; NumberFloatType = double; AllocatorType = std::allocator; JSONSerializer = ascend_nlohmann::json_abi_v3_11_2::adl_serializer; BinaryType = std::vector]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_acceptor >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type ascend_nlohmann::json_abi_v3_11_2::detail::lexer::scan_number() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type = ascend_nlohmann::json_abi_v3_11_2::detail::lexer_base >::token_type]bool ascend_nlohmann::json_abi_v3_11_2::detail::lexer::next_byte_in_range(std::initializer_list::int_type>) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; typename std::char_traits::int_type = int]int ascend_nlohmann::json_abi_v3_11_2::detail::lexer::get_codepoint() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type ascend_nlohmann::json_abi_v3_11_2::detail::lexer::scan_string() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type = ascend_nlohmann::json_abi_v3_11_2::detail::lexer_base >::token_type]void ascend_nlohmann::json_abi_v3_11_2::detail::lexer::unget() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]static char ascend_nlohmann::json_abi_v3_11_2::detail::lexer::get_decimal_point() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]GetShapeInfoFromJsonInitShapesstatic ge::TypeID ge::TypeID::Of() [with T = gert::PassChangedKernels]InitOutputChainFromEquivalentDataAnchorsInitProfInfoByGraphNodeInitNodeAtomicContextInfoInitNodeCMOContextInfoInitVectorCoreProfInfoInitSingleCMOContextInfoReadDfxExtendInfoInitNodeContextInfoInitFillShapeInfo    N4gert20ProfilingInfoWrapperEN4gert24CannProfilingInfoWrapperEN4gert14CannProfilerV2EN15ascend_nlohmann16json_abi_v3_11_26detail11other_errorEdfx_extend_info.cc(!ge::MulOverflow(sizeof(uint32_t), ctx_id_num, ctx_id_size))(!ge::MulOverflow(sizeof(uint32_t), iter->size(), cmo_context_size_tmp))(!ge::AddOverflow(cmo_context_size, cmo_context_size_tmp, cmo_context_size))(!ge::AddOverflow(cmo_context_size, kCmoStepOffset * sizeof(uint32_t), cmo_context_size))(!ge::AddOverflow(total_size, ctx_id_size, total_size))(!ge::AddOverflow(total_size, cmo_context_size, total_size))[%s:%d]%lu %s: ErrorNo: %u(%s) %sMemSet DfxExtendInfo failed!InitCalcSizege_host_profiler.cc[%s:%d]%lu %s:[Ge Profiling] Init for ge host profiling.[%s:%d]%lu %s:[Ge Profiling] Execution data is empty, do not init profiler.InitN4gert14GeHostProfilerEsubscriber_utils.cc[%s:%d]%lu %s:Kernel type is not builtin.GetProfKernelTypeexecutor_tracer.cc[KernelTrace][basic_string::substr[%s:%d]%lu %s:%s%s[%s:%d]%lu %s:[KernelTrace] Start model tracing.[%s:%d]%lu %s:[KernelTrace] End model tracing.%s: __pos (which is %zu) > this->size() (which is %zu)[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s%sGetTracePrinterOnExecuteEvent[%s:%d]%lu %s:SyncStream return END_OF_SEQUENCE((GetStreamByIndex(node, stream, 0U)) == ge::SUCCESS)((GetStreamByIndex(node, stream, 1U)) == ge::SUCCESS)GetStreamByIndexGetKernelStreamDoRtStreamSyncWithTimeout;$H@XShS`5UUkZl|[[HXڋpڋ0(8thRȢxR,Lˌ ˌhTh8x8i i($8`׍׍H (P8P8xPkkَ4َ  HEXE08hHHX8H.LX.r@r 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