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HHsingle_op.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Free][Rt] failed.(input_buffer.length) value out of int64_t range [,E19999Call %s fail, ret: 0x%X%luexpect_numE10401expect_sizeinput_sizeE10402E10403E10404input_desc_numE10405out_numout_desc_numE10406[%s:%d]%lu %s:no optimizationGraph_Assert %s failed((mem) != 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_COREMIX_AICMIX_AIVAI_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.Ascend910AAscend910BAscend910PremiumAAscend910ProAAscend910ProBAscend910B1Ascend910B2Ascend910B3Ascend910B4Ascend910B2CAscend910C1Ascend910C2Ascend910C3Ascend920AAscend310P1Ascend310P3Ascend310Ascend310B1Ascend310B2Ascend310B3Ascend310B4Ascend310M1Ascend320Ascend610Ascend610LiteAscend615Ascend710Vir01Ascend710Vir02Ascend710Vir04Ascend710Vir08BS9SX1AAHi3796CV300CSHi3796CV300ESOPTGSD3403TsnsCTsnsEAscend031Ascend035ddr_rateubblock_sizeAICPUSyncBySWTSCPUSyncBySWCounterWorkspaceSizeai_core_cntjit_compile_default_valuejit_compile_modevec_freqIntrinsic_mmadAICoreMemoryRatesAICoreSpecCPUCacheDSARandomSoCInfoSoftwareSpecVectorCoreMemoryRatesVectorCoreSpecAICoreintrinsicDtypeMapVectorCoreintrinsicDtypeMapALL_LABEL_ENDDSAGenBitMaskDSARandomNormalDSARandomTruncatedNormalDSARandomUniformNPUHOST_CPUUDFPS[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sPadding size is beyond the INT64_MAX.[%s:%d]%lu %s: ErrorNo: %u(%s) %sTotal size is beyond the INT64_MAX.[%s:%d]%lu %s:The [%zu]th input mem type is host, the tensor size is %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Total size is %ld, larger than 1M.Param:stream_resource is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:stream_resource]null is invalid[%s:%d]%lu %s:Do h2d for %zu input, dst size is %zu, src length is %lu.rtMemcpyAsync(dst_addr, size, update_buffers[input_index].data, update_buffers[input_index].length, RT_MEMCPY_HOST_TO_DEVICE_EX, stream)[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rt api failed, ret: 0x%X[%s:%d]%lu %s:found NO arg address to update for arg[%lu][%s:%d]%lu %s: ErrorNo: %u(%s) %s%s update host memory input args failed.Param:impl_ is nullptr, check invalid, Create SingleOp failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:impl_]null is invalid, Create SingleOp failed.Param:impl_ is nullptr, check invalid, Create DynamicSingleOp failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:impl_]null is invalid, Create DynamicSingleOp failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:inputs]Input num mismatch. model expect %zu, but given %zu[%s:%d]%lu %s:Input [%zu], aligned_size:%zu, inputs.length:%lu, input_sizes_:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:inputs]Input size mismatch. index = %zu, model expect %zu, but given %zu(after align)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:outputs]output num mismatch. model expect %zu, but given %zu[%s:%d]%lu %s:Output [%zu], aligned_size:%zu, outputs.length:%lu, output_sizes_:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:outputs]Output size mismatch. index = %zu, model expect %zu, but given %zu(after align)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:inputs]Input number mismatches input desc number. Input num = %zu, input desc num = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:outputs]Output number mismatches output desc number. Output num = %zu, output desc num = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_desc]Input number mismatches. expect %zu, but given %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_desc]Output number mismatches. expect %zu, but given %zu[%s:%d]%lu %s:%s task does not extend args for host memory input[%s:%d]%lu %s:%s task does not support host memory input optimization[%s:%d]%lu %s:no optimization, the total host memory length is %zu, valid length range is (0, %zu].[%s:%d]%lu %s:Host memory input optimization check return true.((stream_resource_) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sAssert %s failedmalloc feature map memory on model execute.((gert::GlobalProfilingWrapper::RecordAndReportMallocTaskMemoryInfo(allocated_mem_->GetAddr(), allocated_mem_->GetSize(), model_name)) == ge::SUCCESS)[%s:%d]%lu %s:Start SingleOp::ExecuteAsync.Param:stream_resource_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:stream_resource_]null is invalid((MallocOnExecute()) == ge::SUCCESS)[%s:%d]%lu %s:Memory base changed, new memory base = %p[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ArgTable] failed, single op:%s.[%s:%d]%lu %s:[DEBUG_TASK_INFO : Static Task] %s %s((task->PostProcess(stream_)) == ge::SUCCESS)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!Param:op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc]null is invalidParam:tensor_pool_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_pool_]null is invalid[%s:%d]%lu %s:Start to update input tensors value for node %s.vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)Param:ge_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_tensor]null is invalid[%s:%d]%lu %s:The %zu tensor input type is host, desc data type is %d, input buffer addr is %p, size is %lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Data]Failed to set data of ge tensor.Param:shared_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shared_tensor]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Index %zu should smaller then input desc size %zu and input buffers size %zu.[%s:%d]%lu %s:The %zu tensor input type is host, desc data type is %d, input buffer addr is %p, size is %ld.[%s:%d]%lu %s:Start DynamicSingleOp::ExecuteAsync.[%s:%d]%lu %s:Execute multi-task dynamic single op by hybrid model executorParam:op_task_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_task_]null is invalid[%s:%d]%lu %s:[DEBUG_TASK_INFO : Dynamic Task] %sExecuteAsyncSetHostTensorValueSetHostTensorValueValidateParamsMallocOnExecuteFreeCheckHostMemInputsLenCheckIsSupportHostMemOptCheckHostMemInputOptUpdateInputsBufferAddrCalInputsHostMemSizeExecuteAsyncUpdateArgsValidateArgsGetProfilingNodeIndexExecuteAsyncGetProfilingNodeIndexExecuteAsync*ZN2ge19DynamicSingleOpImpl18SetHostTensorValueERKSt6vectorINS_12GeTensorDescESaIS2_EERKS1_INS_10DataBufferESaIS7_EEEUlPKNS_8GeTensorEE0_*ZN2ge19DynamicSingleOpImpl18SetHostTensorValueERKSt6vectorISt4pairImmESaIS3_EERKS1_INS_12GeTensorDescESaIS8_EERKS1_INS_10DataBufferESaISD_EEEUlPKNS_8GeTensorEE0_*ZN2ge12_GLOBAL__N_119InitHybridModelArgsERKSt6vectorINS_10DataBufferESaIS2_EES6_RKS1_INS_12GeTensorDescESaIS7_EERNS_6hybrid19HybridModelExecutor11ExecuteArgsEEUlPKS7_E_*ZN2ge12_GLOBAL__N_120CheckHostMemInputOptERKSt6vectorINS_10DataBufferESaIS2_EERKSt10unique_ptrINS_6hybrid11HybridModelESt14default_deleteIS9_EERKS1_ISt10shared_ptrINS_4NodeEESaISH_EERKS1_IS7_INS_6OpTaskESA_ISM_EESaISO_EEEUlvE_*ZN2ge12SingleOpImpl12ExecuteAsyncERKSt6vectorINS_10DataBufferESaIS2_EES6_EUlvE_*ZN2ge19DynamicSingleOpImpl18SetHostTensorValueERKSt6vectorISt4pairImmESaIS3_EERKS1_INS_12GeTensorDescESaIS8_EERKS1_INS_10DataBufferESaISD_EEEUlPKhE_*ZN2ge19DynamicSingleOpImpl18SetHostTensorValueERKSt6vectorINS_12GeTensorDescESaIS2_EERKS1_INS_10DataBufferESaIS7_EEEUlPKhE_*ZN2ge19DynamicSingleOpImpl12ExecuteAsyncERKSt6vectorINS_12GeTensorDescESaIS2_EERKS1_INS_10DataBufferESaIS7_EERS4_RS9_EUlvE_*St19_Sp_counted_deleterIPKN2ge12GeTensorDescEZNS0_12_GLOBAL__N_119InitHybridModelArgsERKSt6vectorINS0_10DataBufferESaIS6_EESA_RKS5_IS1_SaIS1_EERNS0_6hybrid19HybridModelExecutor11ExecuteArgsEEUlS3_E_SaIvELN9__gnu_cxx12_Lock_policyE2EE*St19_Sp_counted_deleterIPN2ge8GeTensorEZNS0_19DynamicSingleOpImpl18SetHostTensorValueERKSt6vectorISt4pairImmESaIS6_EERKS4_INS0_12GeTensorDescESaISB_EERKS4_INS0_10DataBufferESaISG_EEEUlPKS1_E0_SaIvELN9__gnu_cxx12_Lock_policyE2EE*St19_Sp_counted_deleterIPN2ge8GeTensorEZNS0_19DynamicSingleOpImpl18SetHostTensorValueERKSt6vectorINS0_12GeTensorDescESaIS5_EERKS4_INS0_10DataBufferESaISA_EEEUlPKS1_E0_SaIvELN9__gnu_cxx12_Lock_policyE2EESt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEsingle_op_manager.ccrtCtxGetCurrent(&rt_cur_ctx)E10412((res) != nullptr)[%s:%d]%lu %s:ReleaseResource in. resource id = 0x%lxParam:it.second is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:it.second]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s:%d]%lu %s:use context as resource key instead when default stream.[%s:%d]%lu %s:use stream as resource key instead when create stream[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory]Failed to malloc device buffer.[%s:%d]%lu %s:GetOpFromModel in. model name = %s, model id = %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:single_op] is null.input param single_op is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Resource] failed.GetOpFromModel fail because GetResource return nullptr.[%s:%d]%lu %s:Got operator from stream cache[%s:%d]%lu %s:GetOpFromModel in, model name = %s, model id = %luParam:single_op is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:single_op]null is invalidGetDynamicOpFromModel fail because GetResource return nullptr.((GetResourceId(stream, resource_id)) == ge::SUCCESS)SetAllocatorGetResourceIdDeleteDynamicSingleOpDeleteSingleOpGetDynamicOpFromModelGetResourceReleaseResourceGetOpFromModelsession_id:, device_id:, stream_num:, notify_num:, event_num:, label_num:, logic_mem_base:, host_logic_mem_base:, host_svm_logic_mem_base:, logic_weight_base:, logic_var_base:, memory_size:, host_mem_size:, host_svm_size:, weight_size:, var_size:, zero_copy_size:, fixed_feature_memory_base:, fixed_mem_size: , p2p_fixed_mem_base: , p2p_fixed_mem_size: , ex_memory_info:[memory_type:, hbm_memory_info:, total_hbm_size: malloc weights memory on model execute.[%s:%d]%lu %s:To copy weight to device. weight size = %zu.rtMemcpy(weight_base, model_params_.runtime_param.weight_size, root_ge_model_->GetWeightData(), root_ge_model_->GetWeightSize(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:node[%s] has host mem[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Load][Model] failed.InitModel fail for ModelHelper LoadModel failed.Param:root_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_model]null is invalidParam:root_graph_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_graph_]null is invalidParam:root_ge_model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_ge_model_]null is invalid((ModelUtils::InitRuntimeParams(root_ge_model_, model_params_.runtime_param, static_cast(device_id))) == ge::SUCCESS)[%s:%d]%lu %s:Invalid root model![%s:%d]%lu %s:No so in root model, add default so![%s:%d]%lu %s:Load [%u] so from root model!Param:model_params_.space_registry is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_params_.space_registry]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sLoad so in om failed![%s:%d]%lu %s:ParseOpModelParams(): core_type = %ld, runtime_param = %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][OverflowAddr] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sParse op model params failed.Param:node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputIndex]failed, node:[%s] inputname: %s.GetInputIndexByName failed, node:[%s] inputname: %s.Param:src_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_node]null is invalidParam:src_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_op_desc]null is invalidParam:tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor]null is invalid[%s:%d]%lu %s:Get hostmem from node %s, inputname: %s, mem_type = %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][InferDepend] failed.[%s:%d]%lu %s:op name is %s, op kernel name is %s, op type is %s.[%s:%d]%lu %s:op name is %s, use GE local task with hybrid execute[%s:%d]%lu %s: ErrorNo: %u(%s) %sModel [%s] does not have node with index:[%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode [%s] does not have attr [_alias_engine_name].Param:task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build task.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:TaskDef]op desc not found. op index = %uBuildKernelTask fail for op desc not found. op index = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][TbeOpTask]failed.BuildKernelTask fail for new TbeOpTask.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][TbeOpTask]failed.[%s:%d]%lu %s:tiling buffer is not nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:KernelExDef]op not found. op index = %uBuildKernelExTask fail for param kernel_def, because op of kernel_def not found, op index:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][AiCpuTask] failed.BuildKernelExTask fail for new AiCpuTask, model_name:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][Task] failed, kernel_id:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:KernelDef] op desc not found. op index = %uBuildCpuKernelTask fail for kernel_def is invalid, because op of kernel_def not found, op index:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][AiCpuCCTask] failedBuildCpuKernelTask fail for new AiCpuCCTask, model_name:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][AiCpuCCTask]failed, kernel_id:%lu.BuildCpuKernelTask fail for build AiCpuTask, kernel_id:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][AtomicAddrCleanOpTask]failed.BuildKernelTask fail for new AtomicAddrCleanOpTask.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][AtomicAddrCleanOpTask]failed.[Build][AtomicAddrCleanOpTask]failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][InputNode]Data op should have only one output, but got %zu, op_name:%s, op_type:%s.ParseInputNode fail for Data op should have only one output, but got %zu,op_name:%s, op_type:%s.Param:output_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_desc]null is invalid[%s:%d]%lu %s:[%s] parse input node: %s, size = %ld, offset = %ld.[%s:%d]%lu %s:[%s] parse output node: %s, size = %ld, offset = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet op_index failed.Failed to get node by op_index: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get node by op_index: %u.Failed to get task by node %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get task by node %s.[%s:%d]%lu %s:Node: %s has already built task.[%s:%d]%lu %s:Node: %s has 2 tasks, include static atomic kernel and dynamic tbe kernel.[%s:%d]%lu %s:Build singleOp TfTask, kernel_id = %lu[%s:%d]%lu %s:Building TBE task[%s:%d]%lu %s:Build singleOp CCTask, kernel_id = %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelType]Only TBE, AI_CPU, CUST_AI_CPU kernel are supported, but got %uBuildTaskList fail for %u not supported, Only TBE, AI_CPU, CUST_AI_CPU kernel are supported.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ArgTable] fail for input OpTask is nullptr.ParseArgTable fail for input OpTask is nullptr.[%s:%d]%lu %s:%s args[%zu] mapped to user designated args[%d]Param:out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:out_anchor]null is invalidParam:anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:anchor]null is invalidParam:output_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_node]null is invalid[%s:%d]%lu %s:Get %d th input tensor desc of %s by %d data node: %s.[%s:%d]%lu %s:[%s] node size = %zu.[%s:%d]%lu %s:[%s] node = %s, type = %s.[%s:%d]%lu %s:Get Index = %zu, data_ops_ size = %zu.[%s:%d]%lu %s:Node %s, index %d, has host mem, mem_type = %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[LoadAtomicWorkSpace]failed for [%s(%s)].CHECK failed: (index) < (current_size_): [%s:%d]%lu %s:[%s] Task[%d], type = %u, DebugString = %s[%s:%d]%lu %s:Current task has built.[%s:%d]%lu %s:Unsupported task type: %dParam:ge_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_model]null is invalidParam:compute_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:compute_graph]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node size must be 1, but get %lu.[Check][Size]Node size must be 1, but get %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node size must larger then 0, but get %zu.[Check][Size]task_defs size must larger then 0, but get %zu.Param:in_data_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_data_anchor]null is invalidParam:peer_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:peer_node]null is invalid[%s:%d]%lu %s:Building TBE task.[%s:%d]%lu %s:Building AICPU_CC task[%s:%d]%lu %s:Build dynamic singleOp CCTask, kernel_id = %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Task]The copy task of the fourth operator was not found.The copy task of the fourth operator was not found.[%s:%d]%lu %s:Building AICPU_TF task[%s:%d]%lu %s:Build dynamic singleOp TfTask, kernel_id = %lu[%s:%d]%lu %s:[%s] Task[%d], type = [%u], DebugString = [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][Node]Failed to get node by op_index = %uFailed to get node by op_index = %u.Param:single_op.model_param_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:single_op.model_param_]null is invalid[%s:%d]%lu %s:Can not find single op type from GeModel[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Tasks] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][ModelMem] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][NeedHybridModel] failed.[%s:%d]%lu %s:Build single op HybridModel.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Ensure][NodeExecutor Initialized(] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HostMem]Failed.Param:single_op.hybrid_model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:single_op.hybrid_model_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][OverflowAddr]failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HybridModel]Failed.Param:single_op.hybrid_model_executor_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:single_op.hybrid_model_executor_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HybridModelRtV1Executor]Failed.single_op_model.ccrtGetDevice(&device_id)[Build][TbeOpTask]failed.support_dynamicshapeGE_INNER_SINGLE_OP_TYPE[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtFree failed, error: %#xvector::_M_default_appendSetHostMemNodeSetHostMemInputFlagToTaskBuildDynamicOpParseTasksCheckGeLocalNeedHybridCheckHostMemCheckInferDependNeedHybridModelGetAicoreTaskBuildTaskListForDynamicOpBuildOpBuildCpuKernelTaskBuildKernelExTaskBuildAtomicTaskBuildKernelTaskParseArgTableoperator()BuildTaskListBuildKernelAndExTaskBuildTEKernelAndTaskBuildMixL2KernelTaskLoadRootGraphParseOutputNodeParseInputNodeMallocWeightInitModelMemParseOpModelParamsInitModel~TsMemMall*ZN2ge13SingleOpModel13BuildTaskListERNS_14StreamResourceERNS_12SingleOpImplEEUljRSt10shared_ptrINS_6OpDescEEE_St22_Weak_result_type_implIPFjRKSt8functionIFjjRSt10shared_ptrIN2ge6OpDescEEEERKN4domi7TaskDefERPNS2_6OpTaskERNS2_14StreamResourceEEESt22_Weak_result_type_implIMN2ge13SingleOpModelEFjRKN4domi7TaskDefERPNS0_6OpTaskERNS0_14StreamResourceEEESt22_Weak_result_type_implIPFjRKSt8functionIFjjRSt10shared_ptrIN2ge6OpDescEEEERKNS2_18SingleOpModelParamERKN4domi7TaskDefERPNS2_6OpTaskERNS2_14StreamResourceEEESt17_Weak_result_typeIPFjRKSt8functionIFjjRSt10shared_ptrIN2ge6OpDescEEEERKN4domi7TaskDefERPNS2_6OpTaskERNS2_14StreamResourceEEESt17_Weak_result_typeIMN2ge13SingleOpModelEFjRKN4domi7TaskDefERPNS0_6OpTaskERNS0_14StreamResourceEEESt17_Weak_result_typeIPFjRKSt8functionIFjjRSt10shared_ptrIN2ge6OpDescEEEERKNS2_18SingleOpModelParamERKN4domi7TaskDefERPNS2_6OpTaskERNS2_14StreamResourceEEEN2ge8OperatorEN2ge16MixL2TaskBuilderESt5_BindIFMN2ge13SingleOpModelEFjRKN4domi7TaskDefERPNS0_6OpTaskERNS0_14StreamResourceEEPS1_St12_PlaceholderILi1EESE_ILi2EESE_ILi3EEEESt5_BindIFPFjRKSt8functionIFjjRSt10shared_ptrIN2ge6OpDescEEEERKNS2_18SingleOpModelParamERKN4domi7TaskDefERPNS2_6OpTaskERNS2_14StreamResourceEES7_SA_St12_PlaceholderILi1EESO_ILi2EESO_ILi3EEEESt5_BindIFPFjRKSt8functionIFjjRSt10shared_ptrIN2ge6OpDescEEEERKN4domi7TaskDefERPNS2_6OpTaskERNS2_14StreamResourceEES7_St12_PlaceholderILi1EESL_ILi2EESL_ILi3EEEESt19_Sp_make_shared_tagSt15_Sp_counted_ptrIPN2ge9TsMemMallELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN4gert19OpImplSpaceRegistryESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEstream_resource.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Rt] failed.[%s:%d]%lu %s:MallocMemory, func=%s, size=%lu, purpose=%s[%s:%d]%lu %s:To Malloc memory, size = %zuParam:thread_pool is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:thread_pool]null is invalidParam:thread_pool_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:thread_pool_]null is invalidParam:callback_manager is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:callback_manager]null is invalidParam:callback_manager_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:callback_manager_]null is invalid[%s:%d]%lu %s:reuse last memory[%s:%d]%lu %s:Failed to invoke rtStreamSynchronize[%s:%d]%lu %s: ErrorNo: %u(%s) %s[RtMalloc][Memory] failed, size = %zu, ret = %drtMalloc failed, size = %zu, ret = %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[RtMemset][Memory] failed, ret = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[RtFree][Memory] failed[%s:%d]%lu %s:Malloc new memory succeeded. size = %zu[%s:%d]%lu %s:To Malloc weight, size = %zu[%s:%d]%lu %s:static op %lu need to be deleted, start to sync stream %p[%s:%d]%lu %s:static op %lu delete success[%s:%d]%lu %s:dynamic op %lu need to be deleted, start to sync stream %p[%s:%d]%lu %s:dynamic op %lu delete success[%s:%d]%lu %s: ErrorNo: %u(%s) %sMallocExMem failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][SingleOpModel] failed. model = %s, ret = %uSingleOpModel init failed, model = %s, ret = %uParam:new_op is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:new_op]null is invalidParam:new_op->impl_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:new_op->impl_]null is invalid[%s:%d]%lu %s:To build operator: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][DynamicOp]failed. Op:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][SingleOp] failed. Op:%sAllocatorMalloc[%s:%d]%lu %s:Mem size == 0rtMemset failed, ret = %d.((mem_block) != nullptr)rtMallocrtStreamSynchronize(stream_)MallocExMemGetCallbackManagerGetThreadPoolBuildOperatorBuildDynamicOperatorMallocWeightMallocMemoryMallocMemoryInitOverflowMemoryDoMallocMemoryDeleteDynamicOperatorDeleteOperatorInit~StreamResource~TsMemMallMallocFreeN2ge9AllocatorEN2ge8MemBlockEN2ge17InternalAllocatorE?aicpu_c_c_task_builder.ccnew Memory failed, size = %zuaicpu_arg_sizekernel_def_.args().size()task.io_addr_num_addresses.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]aicpu_arg_size is invalid, value = %zuaicpu_arg_size is invalid, value = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s][%ld] is less than[%s][%ld](task.io_addr_num_ * sizeof(void *))(aicpu_arg_size - sizeof(aicpu::AicpuParamHead))[%s:%d]%lu %s:%s has host memory input, args size is extened %zu, args_size = %zu, host_mem_input_data_offset = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[New][Memory] failed, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s][%ld] is greater than[%s][%ld][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Memcpy_s][Args] failed, size = %zu, err = %dmemcpy_s aicpu_args failed, size = %zu, err = %dParam:op_desc_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Load][CustAicpuSo] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][CustAicpuSo] failed.[Check][Size]task def kernel_ext_info.size=%zu, but kernel_ext_info_size=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]task def kernel_ext_info.size=%zu, but kernel_ext_info_size=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][ExtInfoAndType]failed, kernel_id=%lu.SetExtInfoAndType failed, kernel_id=%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][InputConst] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][SummaryAndCopy] failed.[%s:%d]%lu %s:[TASK_INFO] %lu/%s %sBuildTaskSetKernelArgsaicpu_task_builder.cckernel_def_.task_info_size()[Memcpy_s][Param:fwk_op_kernel] failed, ret: %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Memcpy_s][Param:fwk_op_kernel] failed, ret: %dkernel_def_.task_info().size()rtMalloc(&task.workspace_addr_, static_cast(kernel_def_.task_info_size()), task.mem_type_, GE_MODULE_NAME_U16)rtMemcpy(task.workspace_addr_, static_cast(kernel_def_.task_info_size()), kernel_def_.task_info().data(), static_cast(kernel_def_.task_info_size()), task.memcpy_kind_)[%s:%d]%lu %s: ErrorNo: %u(%s) %sPadding size is beyond the UINT32_MAX.[%s:%d]%lu %s:%s has host memory input, io addr host is extended %zu, length = %zu, host_mem_input_data_offset = %zu.rtMalloc(&task.io_addr_, task.io_addr_size_, task.mem_type_, GE_MODULE_NAME_U16)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][ExtInfoAndType]failed.rtMalloc(&task.args_, sizeof(STR_FWK_OP_KERNEL), task.mem_type_, GE_MODULE_NAME_U16)rtMemcpy(task.args_, sizeof(STR_FWK_OP_KERNEL), &fwk_op_kernel, sizeof(STR_FWK_OP_KERNEL), task.memcpy_kind_)vector::_M_fill_insertBuildTaskInitWorkspaceAndIOSetFmkOpKernelvector::_M_range_insertbasic_string::_S_construct null not validbuild_task_utils.cc%u, group id=attributereasonE14002 IN[] OUT[] Single op task parse gid reserved failed, ret=%d(((qos_ret == QosErrorCode::QOS_SUCCESS) || (qos_ret == QosErrorCode::QOS_NULL_FUNC)))Single op task parallel group id must not be reserved, opname:[%s:%d]%lu %s: ErrorNo: %u(%s) %sSingle op task parallel group id must not be reserved, group id:0x%x, deviceid:%d, opname:%sCall rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s:Single op set qoscfg, opname:%s, group id:0x%x, qos:%u, mpamid:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s] must not be null.SetQosCfgGetTaskInfoGetTaskInfo[%s:%d]%lu %s:task name is %s, no need to save for exception dump!max_dst_lenaligned_lenupdate kernel args failed(tid > 0)Update event id=%u failed.rt_event_ is nullptrkernel_def.task_info().size()rtStreamSynchronize(stream)[%s:%d]%lu %s:[TASK_INFO] %sargs before execute: vector::_M_realloc_inserttiling_data_holderV1 dynamic shape process does not support mixl2.[%s:%d]%lu %s: ErrorNo: %u(%s) %sV1 dynamic shape process does not support mixl2.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Args size is %zu, but get input size is %zu.[Check][Size] Args size is %zu, but get input size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][OpAtomicCalculate] failed, ret = %u.invoke OpAtomicCalculate failed, ret = %u.[%s:%d]%lu %s:Start to call rtFftsPlusTaskLaunch.ge::rtFftsPlusTaskLaunch(&ffts_plus_task_info_, stream)[%s:%d]%lu %s:Call rtFftsPlusTaskLaunch succeeded.[%s:%d]%lu %s:NpuGetFloatStatusTask launch in.rtMemcpyAsync(args_, args_size_, &output_addr_, args_size_, RT_MEMCPY_HOST_TO_DEVICE, stream)ge::rtNpuGetFloatStatus(args_, output_size_, mode_, stream)[%s:%d]%lu %s:NpuGetFloatDebugStatusTask launch in.ge::rtNpuGetFloatDebugStatus(args_, output_size_, mode_, stream)Param:op_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][OpParaCalculate] failed, ret = %u.invoke OpParaCalculate failed, ret = %u.[%s:%d]%lu %s:NpuClearFloatDebugStatusTask launch in.ge::rtNpuClearFloatDebugStatus(mode_, stream)[%s:%d]%lu %s:NpuClearFloatStatusTask launch in.ge::rtNpuClearFloatStatus(mode_, stream)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][HostMemInputArgs]failed, dst length is %zu, src length is %zu.[%s:%d]%lu %s:[Cann Profiling] ctx num is %u, node name is %s, node type is %s(((MsprofReportAdditionalInfo(true, &context_info, static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_NONE) || ((MsprofReportAdditionalInfo(true, &context_info, static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_UNINITIALIZE))Param:host_inputs_info_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:host_inputs_info_]null is invalid[%s] report l0 exception dump addr failed((ReportL0ExceptionDumpInfo(op_desc_, l0_dump_list_)) == ge::SUCCESS)[%s:%d]%lu %s:[%s] Start to copy tiling info.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args] failed of %s.update kernel args failed of %s.rtGetTaskIdAndStreamID(&task_id_, &stream_id_)[%s:%d]%lu %s:[Call][rtSetTaskTag] failed, ret:0x%Xge::rtMemcpyAsyncWithCfg(memcpy_info, static_cast(kind_), stream, qos_cfg)[%s:%d]%lu %s:OpName: %s set schedule mode from kernel def: %u, block dim is %u(((MsprofReportCompactInfo(static_cast(true), &node_basic_info, static_cast(sizeof(MsprofCompactInfo)))) == MSPROF_ERROR_NONE) || ((MsprofReportCompactInfo(static_cast(true), &node_basic_info, static_cast(sizeof(MsprofCompactInfo)))) == MSPROF_ERROR_UNINITIALIZE))[%s:%d]%lu %s:[Cann Profiling] node name is %s, node type is %s, blcokDim is %u, op name hash is %llu, op type hash is %llu, task type is %u, endtime is %llu, tid is %d((gert::GlobalProfilingWrapper::ReportTensorInfo(static_cast(tid), true, task_desc_info)) == ge::SUCCESS)((ReportProfExtendInfo(end_time, op_name_hash, tid)) == ge::SUCCESS)((ReportProfAdditionalInfo(end_time, op_name_hash, tid)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] arg number mismatches, expect at least = %zu, but got = %zu.%s arg number mismatches, expect at least = %zu, but got = %zu.[%s:%d]%lu %s:Update run info of %s, block dim: %u, tiling key: %lu,clear atomic: %d, workspace size: %zu, schedule_mode: %u.[%s:%d]%lu %s:Start to invoke OpParaCalculate.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][TilingInfo]failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sUpdate run info by tiling result failed.[%s:%d]%lu %s:Invoking OpParaCalculate successfully. block_dim is %u, tiling_key is %lu.[%s:%d]%lu %s:args size is extended frome %zu to %zu. overflow flag = %u, tiling flag = %u, host mem flag = %u, max tiling size = %u, workspace_addr_size = %zu, host_input_data_offset = %zu[%s:%d]%lu %s:Need to reset size of args_ from %zu to %zu.Param:args is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][KernelArgs] failed for [%s].update kernel args failed for %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Extend][ArgSizeIfNeed] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][TilingArgs] failed.rtKernelLaunchWithFlagV2(stub_func_, block_dim_, &args_ex_, sm_desc, stream, 0U, &cfg_)rtKernelLaunchWithHandleV2(handle_, tiling_key_, block_dim_, &args_ex_, sm_desc, stream, &cfg_)static_cast(DoLaunchKernelWithArgsEx(stream))[%s:%d]%lu %s:[%s] Start to setup AtomicAddrClean task.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit atomic addr clean indices of %s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] atomic_output_indices invalid. atomic_output_indices size is %zu,arg size is %zu.[%s] atomic_output_indices invalid. atomic_output_indices size is %zu,arg size is %zu.[%s:%d]%lu %s:Update AiCpuBaseTask shape from %s to %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][Shape] failed, AiCpuTask originFormat[%d] is not same as format[%d], shape=%s.[%s:%d]%lu %s:AiCpuTask originFormat[%d] is not same as format[%d], need update from %s ro %s.[%s:%d]%lu %s:AiCpuBaseTask output_num is 0, no need update output shape.[%s:%d]%lu %s:Start to update DEPEND_SHAPE_RANGE AiCpuBaseTask outputshape.rtMemcpy(aicpu_ext_handle_->GetExtInfo(), aicpu_ext_handle_->GetExtInfoLen(), ext_info_addr_dev_, aicpu_ext_handle_->GetExtInfoLen(), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ShapeToOutputDesc] failed, output:%zu. datatype:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][OutputDesc] failed, output:%zu.[%s:%d]%lu %s:Update DEPEND_SHAPE_RANGE AiCpuBaseTask outputshape finished.Param:arg_base is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:arg_base]null is invalid[%s:%d]%lu %s:AICpuTask input[%zu] addr = %lu[Check][Size] Input size is %zu, but get non_const_index is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Input size is %zu, but get non_const_index is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Addr]AiCpuTask input[%zu] addr is nullptr, length = %lu[%s:%d]%lu %s:AICpuTask input[%zu] addr = %p, length = %lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Addr]AiCpuTask output[%zu] addr is nullptr, length = %lu[%s:%d]%lu %s:AICpuTask output[%zu] addr = %p, length = %lu.Call rtGetDevice failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtGetDevice] failed, ret:0x%XCall rtGetDeviceCapability failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtGetDeviceCapability] failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Value] Value should be %d or %d but %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CheckDeviceSupportBlockingAicpuOpProcess] Call CheckDeviceSupportBlockingAicpuOpProcess failed[%s:%d]%lu %s:Device not support blocking aicpu op processCall rtEventCreateWithFlag failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtEventCreateWithFlag] failed, ret:0x%XCall rtGetEventID failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtGetEventID] failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][EventId] Update event id=%u failed[%s:%d]%lu %s:Update event_id=%u success[%s:%d]%lu %s:Device not support blocking aicpu op process.[%s:%d]%lu %s:Distribute queue task begin[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][rt_event_] rt_event_ is nullptrCall rtStreamWaitEvent failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtApi] failed, ret:0x%XCall rtEventReset failed, ret:0x%X[%s:%d]%lu %s:Start to launch kernel. task = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[MemcpyAsync][Date] failed. ret = %d, task = %srtMemcpyAsync data failed, ret = %d, task = %s[%s:%d]%lu %s:To invoke rtKernelLaunchEx. task = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtKernelLaunch] failed. ret = %d, task = %sinvoke rtKernelLaunchEx failed, ret = %d, task = %s[%s:%d]%lu %s:[TASK_INFO] %lu/%s[%s:%d]%lu %s:Done launch kernel successfully. task = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][DistributeWaitTaskForAicpuBlockingOp] Call DistributeWaitTaskForAicpuBlockingOp failed[%s:%d]%lu %s:To invoke rtCpuKernelLaunch. block_dim = %u, so_name is %s, kernel_name is %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtCpuKernelLaunchWithFlag] failed. ret = %d.invoke rtCpuKernelLaunchWithFlag failed, ret:%d.[%s:%d]%lu %s:Invoke rtCpuKernelLaunch succeededrtMemcpy(&result_summary, sizeof(aicpu::FWKAdapter::ResultSummary), output_summary_[i], sizeof(aicpu::FWKAdapter::ResultSummary), RT_MEMCPY_DEVICE_TO_HOST)rtMalloc(&shape_buffer, shape_data_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)Param:shape_addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shape_addr]null is invalidrtMemcpy(shape_addr.get(), result_summary.shape_data_size, shape_hbm, result_summary.shape_data_size, RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:Node [%zu]th output dim[%zu]=%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ShapeToOutputDesc] failed , output:%zu.[%s:%d]%lu %s:Output num is 0, there is no need to update the output and size.[%s:%d]%lu %s:Update shape and data by result summary begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Read][ResultSummaryAndPrepareMemory] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Copy][DataToHbm] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ShapeByHbmBuffer] failed.[%s:%d]%lu %s:Update shape and data by result summary end.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]sizeof STR_FWK_OP_KERNEL is: %lu, but args_size is: %d[sizeof STR_FWK_OP_KERNEL is: %lu, but args_size is: %drtMalloc(©_workspace_buf_, static_cast(kernel_def.task_info_size()), RT_MEMORY_HBM, GE_MODULE_NAME_U16)static_cast(kernel_def.task_info_size())rtMemcpy(copy_workspace_buf_, static_cast(kernel_def.task_info_size()), kernel_def.task_info().data(), static_cast(kernel_def.task_info_size()), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][TaskArgs] failed, ret: %dupdate STR_FWK_OP_KERNEL args failed because memcpy_s return %d.rtMemcpy(copy_task_args_buf_, sizeof(STR_FWK_OP_KERNEL), &aicpu_task, sizeof(STR_FWK_OP_KERNEL), RT_MEMCPY_HOST_TO_DEVICE)MemCopy task def args.size=%zu, but args_size=%u not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]MemCopy task def args.size=%zu, but args_size=%u not equal.Task def args_size=%u is less than aicpu param head len=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Task def args_size=%u is less than aicpu param head len=%zu.new memory failed for Node[MemCopy], task_size[%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed for Node[MemCopy], task_size[%u].memcpy_s argc_ failed for Node[MemCopy], ret: %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][args] failed for Node[MemCopy], ret: %dNode[Memcpoy] memcpy io addr to AicpuParamHead failed,ret=%d, args_size=%u, io nums=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][io_addr]Node[MemCopy] memcpy io addr to AicpuParamHead failed,ret=%d, args_size=%u, io nums=%u.[%s:%d]%lu %s:Set memcpy task for node[MemCopy] successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %sio_addr size is not rightrtMemcpy(ValueToPtr(workspace_input_addr), sizeof(uint64_t) * 2U, input_addr.data(), sizeof(uint64_t) * input_addr.size(), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(workspace_input_addr), sizeof(uint64_t) * 2U, input_data_, sizeof(input_data_), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:DSATask Distribute Start.[%s:%d]%lu %s: ErrorNo: %u(%s) %sUpdate dsa sqe failedge::rtStarsTaskLaunchWithFlag(&dsa_sqe_, static_cast(sizeof(dsa_sqe_)), stream, 0U)[%s:%d]%lu %s:[%s] Start to launch kernel[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][IoAddr] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][AtomicTask] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ArgsItem] failed of %s[%s:%d]%lu %s:[%s] Start to invoke rtKernelLaunch[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to do launch kernel.[%s:%d]%lu %s:Dump is open in single op, start to set dump info[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]io_addrs_for_dump_ size %zu is not equal input and output size %zuio_addrs_for_dump_ size %zu is not equal input and output size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][DumpOp] failed in single op.[%s:%d]%lu %s:Dump is not open in single op[%s:%d]%lu %s:Node out[%zu] summary, shape data=0x%lx, shape data size=%lu, raw data=0x%lx, raw data size=%lu.rtMemcpy(copy_input_release_flag_dev_, copy_input_buf_len, copy_input_release_flag.data(), copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(copy_input_data_size_dev_, copy_input_buf_len, copy_input_data_size.data(), copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(copy_input_src_dev_, copy_input_buf_len, copy_input_src.data(), copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(copy_input_dst_dev_, copy_input_buf_len, copy_input_dst.data(), copy_input_buf_len, RT_MEMCPY_HOST_TO_DEVICE)rtKernelLaunchEx(copy_task_args_buf_, static_cast(sizeof(STR_FWK_OP_KERNEL)), RT_KERNEL_DEFAULT, stream)Param:tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args] failed, atomic index must smaller then data size.[Update][Args] failed, atomic index must smaller then data size.Get tensor size in bytes failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorMemorySize] In Bytes failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args] failed, workspace atomic index must smaller then workspace size.[Update][Args] failed, workspace atomic index must smaller then workspace size.[%s:%d]%lu %s:Update ext info begin, unknown_type is %d.Param:aicpu_ext_handle_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:aicpu_ext_handle_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ExecuteMode] failed.[%s:%d]%lu %s:No input and output, no need update ext info.Param:const_input_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:const_input_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][InputShapeAndType] failed, input_index:%zu.[Check][Size]Input_desc size is %zu, but get non_const_index is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Input_desc size is %zu, but get non_const_index is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][InputShapeAndType]failed, input_index:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAiCpuTask Update [%zu]th input desc failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][OutputShapeAndType] failed, Output:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAiCpuTask Update [%zu]th output desc failed.rtMemcpyAsync(ext_info_addr_dev_, aicpu_ext_handle_->GetExtInfoLen(), aicpu_ext_handle_->GetExtInfo(), aicpu_ext_handle_->GetExtInfoLen(), RT_MEMCPY_HOST_TO_DEVICE_EX, stream)[%s:%d]%lu %s:Update ext info end.[%s:%d]%lu %s:Kernel_ext_info is empty, no need copy to device.[%s:%d]%lu %s:Get unknown_type is %d.[%s:%d]%lu %s:Get op:%s attribute(is_blocking_op), value:%d[Malloc][Memory] failed for aicpu_ext_handle![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed for aicpu_ext_handle![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Param:kernel_ext_info] failed, kernel_ext_info_size=%zu.Parse Param:kernel_ext_info failed, kernel_ext_info_size=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][SessionInfo] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][UpdateEventIdForBlockingAicpuOp] Call UpdateEventIdForBlockingAicpuOp failedrtMalloc(&ext_info_addr_dev_, aicpu_ext_handle_->GetExtInfoLen(), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(ext_info_addr_dev_, aicpu_ext_handle_->GetExtInfoLen(), aicpu_ext_handle_->GetExtInfo(), aicpu_ext_handle_->GetExtInfoLen(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:To invoke rtKernelLaunch. task = %s, block_dim = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sRecall tiling for soft sync op: %s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sRefresh Args failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][RunInfo] by tiling result failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][RtKernelLaunch] failed. ret = %d, task = %sinvoke rtKernelLaunch failed, ret = %d, task = %s[%s:%d]%lu %s:Args num is invalid, no workspace saved.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Open][Dump]failed, single op:%s.((rtGetTaskIdAndStreamID(&task_id_, &stream_id_)) == 0)[%s:%d]%lu %s: ErrorNo: %u(%s) %sSave Exception dump failed.[%s:%d]%lu %s:Unknown_type is %d, output num is %zu.rtMalloc(&output_summary_[i], result_summary_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMalloc(©_input_release_flag_dev_, copy_input_buf_len, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMalloc(©_input_data_size_dev_, copy_input_buf_len, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMalloc(©_input_src_dev_, copy_input_buf_len, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMalloc(©_input_dst_dev_, copy_input_buf_len, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMalloc(©_task_args_buf_, sizeof(STR_FWK_OP_KERNEL), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMalloc(©_ioaddr_dev_, copy_io_addr_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(copy_ioaddr_dev_, copy_io_addr_size, copy_io_addr.data(), copy_io_addr_size, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:SingleOp: %s, Index: %zu, has no input[%s:%d]%lu %s:SingleOp: %s, Index: %zu, input is const0xSaveForL0ExceptionDumpLaunchKernelUpdateDsaSqeLaunchKernel~NpuGetFloatDebugStatusTaskLaunchKernelLaunchKernel~NpuGetFloatStatusTaskLaunchKernel~MixL2OpTaskLaunchKernelLaunchKernelUpdateIoAddrUpdateHostMemInputArgsstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]GetTilingKeyAndDataReportProfExtendInfoLaunchKernelLaunchKernelUpdateHostMemInputArgsSetMemCopyTaskInitForSummaryAndCopyLaunchKernelLaunchKernelSetMemCopyTaskInitForSummaryAndCopyUpdateShapeAndDataByResultSummaryUpdateShapeByHbmBufferCopyDataToHbmCopyDataToHbmReadResultSummaryAndPrepareMemoryPrepareCopyInputsLaunchKernelDistributeWaitTaskForAicpuBlockingOpCheckDeviceSupportBlockingAicpuOpProcessUpdateIoAddrUpdateShapeToOutputDescUpdateOutputShapeUpdateExtInfoSetInputConstSetExtInfoAndTypeUpdateEventIdForBlockingAicpuOpInitAtomicAddrCleanIndicesCalcTilingInfoUpdateIoAddrDoLaunchKernelWithArgsExDoLaunchKernelLaunchKernelUpdateIoAddrUpdateHostMemInputArgsSetArgIndexUpdateTilingArgsExtendArgSizeIfNeedUpdateArgsItemOffsetUpdateArgsItemUpdateNodeByShapeUpdateRunInfoByTilingResultUpdateRunInfoCalcTilingInfoPreProcessLaunchKernelDoUpdateArgTableReportProfilingDataReportProfAdditionalInfoSetKernelWithHandleArgsSetKernelArgsPostProcessSetTaskTagGetTaskIdAndStreamIdOpenDumpSaveExceptionDumpInfoN2ge6OpTaskEN2ge9TbeOpTaskEN2ge21AtomicAddrCleanOpTaskEN2ge13AiCpuBaseTaskEN2ge9AiCpuTaskEN2ge11AiCpuCCTaskEN2ge15MemcpyAsyncTaskEN2ge11MixL2OpTaskEN2ge21NpuGetFloatStatusTaskEN2ge23NpuClearFloatStatusTaskEN2ge26NpuGetFloatDebugStatusTaskEN2ge28NpuClearFloatDebugStatusTaskEN2ge7DsaTaskE[%s:%d]%lu %s: ErrorNo: %u(%s) %sget op desc failedrtMalloc(&task->args_, task->args_size_, RT_MEMORY_HBM, GE_MODULE_NAME_U16)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][QosCfg] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][MemcpyAsyncTask] Invalid address count: %zurts_kernel_task_builder.ccBuildNpuClearFloatDebugStatusTaskBuildNpuGetFloatDebugStatusTaskBuildNpuClearFloatStatusTaskBuildNpuGetFloatStatusTaskBuildMemcpyAsyncTasktbe_task_builder.cc(index * sizeof(void *))tiling_arg_index(tiling_arg_index)uint16_t_atomic_kernelnamemax_sizeRT_DEV_BINARY_MAGIC_ELFRT_DEV_BINARY_MAGIC_ELF_AIVECCreate KernelHodler failed.Create HandleHolder failed.task.host_args_.size()kernel_def_arg_size(arg_size)/_tvmbinatomic_op_para_sizeMIXrtMemcpy(args_addr, arg_size, src_addr, src_len, RT_MEMCPY_HOST_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtFunctionRegister] failed. bin key = %s, kernel name = %s, rt ret = %drtFunctionRegister failed. bin key = %s, kernel name = %s, rt ret = %d(tiling_arg_index - (index * sizeof(void *)))[%s:%d]%lu %s:TBE: meta data: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtMetadataRegister] failed. bin key = %s, meta_data = %s, rt ret = %drtMetadataRegister failed, bin key = %s, meta_data = %s, rt ret = %d[%s:%d]%lu %s:Start alloc tiling data of node %s.[%s:%d]%lu %s:Got op param size by key: %s, ret = %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Int] %s Invalid op_param_size: %ld.AttrUtils::GetInt failed, %s Invalid op_param_size: %ld.static_cast(UINT32_MAX)[%s:%d]%lu %s:Get original type of session_graph_id.RT_DEV_BINARY_MAGIC_ELF_AICUBE[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s in op:%s(%s), value:%s check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[DoRegister][Binary] failed, bin key = %s, core_type = %ld, rt ret = %dDoRegisterBinary failed, bin key = %s, core_type = %ld, rt ret = %d[%s:%d]%lu %s:Register function succeeded: kernel_name = %s[%s:%d]%lu %s:RegisterKernel begin, stub_func = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TbeKernel] fail for OP EXT ATTR NAME TBE_KERNEL not found. op = %sGetTbeKernel fail for OP EXT ATTR NAME TBE_KERNEL not found. op = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][KernelHodler] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Register][Kernel] failed. stub name = %sDoRegisterKernel failed, stub name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Add][Kernel] failed. stub name = %sAddKernel failed. stub name = %s[%s:%d]%lu %s:RegisterKernelWithHandle begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Register][Kernel] failed. node name = %sDoRegisterKernel failed, node name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][HandleHolder] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Add][Handle] failed. node name = %sAddHandle failed, node name = %s[%s:%d]%lu %s:No need to init tiling data addr of %s.(task.args_addr_base_idx_ + tiling_data_idx + 1U)rtMemcpy(&task.host_args_[task.args_addr_base_idx_ + tiling_data_idx], sizeof(uintptr_t), &tiling_data_addr_, sizeof(uintptr_t), RT_MEMCPY_HOST_TO_HOST)[%s:%d]%lu %s:Init tiling data addr of %s, tiling_data_idx: %zu.[%s:%d]%lu %s:SetKernelArgs of %s in branch of RT_MODEL_TASK_ALL_KERNEL.kernel_def_with_handle_.args().size()[%s:%d]%lu %s:SetKernelArgs of %s in branch of RT_MODEL_TASK_KERNEL.rtMemcpy(args.get(), arg_size, kernel_def_args, kernel_def_arg_size, RT_MEMCPY_HOST_TO_HOST)rtMemcpy(args.get() + argsize_idx_with_overflow, sizeof(void *), &(task.overflow_addr_), sizeof(void *), RT_MEMCPY_HOST_TO_HOST)Param:task.run_info_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task.run_info_]null is invalid[%s:%d]%lu %s:Build tbe task begin.[%s:%d]%lu %s:[TASK_INFO] %s %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][FunctionByName] failed. stub_name:%s.rtGetFunctionByName failed, stub_name:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][ArgTable] failed.Param:task.op_desc_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task.op_desc_]null is invalidParam:task.op_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task.op_]null is invalidParam:run_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:run_info]null is invalid[%s:%d]%lu %s:Success to set extra attr: %s to %s.[%s:%d]%lu %s:Node: %s, tiling data size: %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sHandle soft sync op %s failed.malloc tiling data memory for soft sync op.Param:task.stream_resource_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task.stream_resource_]null is invalidParam:tiling_data_addr_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tiling_data_addr_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sDo transfer filed.((helper.AssembleTilingData()) == ge::SUCCESS)[%s:%d]%lu %s:Op %s get context type %u by ctx idx %d, blockdim %u, master blockdim %u, slave ratio %u.rtMalloc(&task.device_args_, task.arg_size_, RT_MEMORY_HBM, GE_MODULE_NAME_U16)[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit mix kernel args failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sIndex [%zu] greater than [%zu] is invalid.[%s:%d]%lu %s:Node: %s, input num: %zu, output num: %zu, workspace num: %zu, is_dynamic: %d, kernel_def_arg_size: %zu, len: %zu, max tiling size: %u, args size: %zu, host args size: %zu, addr_base: %zu, mode_addr_cnt: %zu, args_addr_base_idx: %zu, addr_len: %zu, args_addr_cnt: %zu, tiling data size: %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit tiling data addr to args failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSet argtable failed.HandleSoftSyncOpInitMixKernelArgsInitTilingDataAddrToArgsBuildMixL2TaskGetMagicInitTilingInfoBuildTaskSetKernelArgsUpdateTilingArgsInitKernelArgsRegisterKernelWithHandleRegisterKernelDoRegisterKernelDoRegisterFunctionDoRegisterMetaDoRegisterBinarystatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]*ZN2ge16MixL2TaskBuilder17InitMixKernelArgsERNS_11MixL2OpTaskEmRNS_18SingleOpModelParamEEUljE_*ZN2ge16MixL2TaskBuilder17InitMixKernelArgsERNS_11MixL2OpTaskEmRNS_18SingleOpModelParamEEUlRKSt10shared_ptrINS_6OpDescEERKSsRSt6vectorISt4pairIPvjESaISF_EEE0_tbeKernelN2ge6AnyMap11PlaceholderEN2ge14TbeTaskBuilderEN2ge26AtomicAddrCleanTaskBuilderEN2ge21FftsPlusProtoTransfer21aicpu_get_session_id_MUlvE_EN2ge21FftsPlusProtoTransfer21create_aicpu_session_MUlR17STR_FWK_OP_KERNELE_EN2ge21FftsPlusProtoTransfer19load_cust_aicpu_so_MUlRKSt10shared_ptrINS_6OpDescEERKN4domi19FftsPlusAicpuCtxDefEE_EN2ge21FftsPlusProtoTransfer22save_aicpu_ctx_handle_MUlRKSt10shared_ptrINS_6OpDescEERKN4domi14aicpuKernelDefEE_EN2ge6AnyMap6HolderISt10shared_ptrIN8optiling5utils9OpRunInfoEEEESt15_Sp_counted_ptrIPN8optiling5utils9OpRunInfoELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrIN8optiling5utils9OpRunInfoEEEESaIS8_ELN9__gnu_cxx12_Lock_policyE2EEdsa_task_builder.cc[%s:%d]%lu %s:DSATaskInfo Build Start.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s output addr size %zu is wrong[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s workspace addr size %zu is wrong[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s input addr size %zu is wrong[%s:%d]%lu %s: ErrorNo: %u(%s) %sdsa input data memcpy failed.[%s:%d]%lu %s:DSATaskInfo Build SuccessBuildDsaTaskexecutor_utils.ccnum_dimsOperator graph failedglobalworkspace_typetiling_data_sizemax_tiling_sizeio_size / sizeof(void *)io_indexio_sizehost_mem_data_offsetdst_len_left (len: , place: ) ]io_addrs_sizehost_mem_input_data_offsetstatic_cast(i)aligned_sizedst_length_leftworkspace_indexINT32_MAX[%s:%d]%lu %s: ErrorNo: %u(%s) %salign_bytes is zero[%s:%d]%lu %s: ErrorNo: %u(%s) %sPadding size is beyond the UINT32_MAX, input = %zu, align_bytes = %zu.[%s:%d]%lu %s:Skip task type: %d[%s:%d]%lu %s:op_index = %u, task_type = %d.[%s:%d]%lu %s:type = %d, shape = %s, has_origin_shape = %d, original shape = %sstatic_cast(kMaxDimSize)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calc tensor raw size[%s:%d]%lu %s:node[%s] input[%zu] has host mem[%s:%d]%lu %s:No max tiling size in op_desc.[%s:%d]%lu %s:Max tiling size of %s is %zu.[%s:%d]%lu %s:Change args size from %u to %u.[%s:%d]%lu %s:Node: %s has no tiling data.rtMemcpy(tiling_addr_offset, sizeof(uintptr_t), &tiling_data_addr, sizeof(uintptr_t), memcpy_kind)rtMemcpy(tiling_data_addr, max_tiling_size, run_info.GetAllTilingData().str().data(), tiling_data_size, memcpy_kind)[%s:%d]%lu %s:Update args of %s, block dim: %u, tiling key: %lu, tilingAddrOffset: %u,tilingDataOffset: %u, max_tiling_size: %zu, arg_size: %u.Param:op_task.GetOpdesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_task.GetOpdesc()]null is invalidParam:io_base is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:io_base]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check] memory reserved for host memory input is not enough, offset = %zu, io_addrs_size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput index(%zu) >= inputs size(%zu)[%s:%d]%lu %s: ErrorNo: %u(%s) %sget align value failed.static_cast(std::numeric_limits::max())static_cast(std::numeric_limits::max() / sizeof(void *))[%s:%d]%lu %s:Finish to copy host mem input[%zu]. size = %lu, task arg index = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s(%s)] host memory input(s) should be copied to io_base, but it(they) did not!!!inputs size:%zu, io_size:%zu, input_is_const:%s, inputs:%s, input_index:%zu, io_index:%zu,op_desc_input_num:%zu, align_bytes=%zu, io_base=%pParam:io_addrs is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:io_addrs]null is invalidParam:input_data is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_data]null is invalidio_addrs_size / sizeof(void *)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args]failed, dst length is %zu, src length is %zu.static_cast(std::numeric_limits::max() / sizeof(uint64_t))[%s:%d]%lu %s:Finish to copy host mem input[%d]. size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %shost memory input(s) should be copied to io_base, but it(they) did not!!![Check][Size][%s] atomic_output_indices and atomic_workspace_info must not be both empty.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] atomic_output_indices and atomic_workspace_info must not be both empty.[%s:%d]%lu %s:[%s] Adding workspace index [%ld][%s:%d]%lu %s:[%s] Adding output index [%ld][Set][Attr:%s]fail for node:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Attr:%s]fail for node:%s.AssembleReuseBinaryArgsFillRuntimeTensorDescGetOpIndexInitAtomicAddrCleanIndicesLoadAtomicWorkspaceUpdateHostMemInputArgsGetAlignedValueUpdateHostMemInputArgsstatic ge::TypeID ge::TypeID::Of() [with T = std::map, std::map >]HasHostMemInputN2ge10AttrHolderEN2ge6AnyMap6HolderISt3mapISsS2_IllSt4lessIlESaISt4pairIKllEEES3_ISsESaIS5_IKSsS9_EEEEESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt3mapISsS3_IllSt4lessIlESaISt4pairIKllEEES4_ISsESaIS6_IKSsSA_EEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EEnpu_memory_allocator.ccsvm[%s:%d]%lu %s:NpuMemoryAllocators start free cached mem.[%s:%d]%lu %s: ErrorNo: %u(%s) %sStream synchronize failed! stream: %p[%s:%d]%lu %s:Does caching_allocator exist: %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtMalloc] failed, size:%lu, ret = 0x%XFailed to apply for memory. We will try to free memory from memory pool, the above error log can be ignored. Try to free memory of stream:[%s:%d]%lu %s:NpuMemoryAllocators start finalize.[%s:%d]%lu %s:NpuMemoryAllocator caching_allocator start finalize, stream: %p.New stream allocator map fail, stream: %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNew stream allocator map fail, stream: %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sAllocator initialize failed, stream: %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Device] Failed, result:%d.rtGetDevice failed, result:%d.[%s:%d]%lu %s:Got device id = %d from contextNew default NpuMemoryAllocator fail, device_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNew default NpuMemoryAllocator fail, device_id,: %u.[%s:%d]%lu %s:Create default NpuMemoryAllocator, device_id: %u.[%s:%d]%lu %s:Clear stream: %p in NpuMemoryAllocatorNew NpuMemoryAllocator map fail, stream: %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNew NpuMemoryAllocator fail, stream: %p.[%s:%d]%lu %s:Create NpuMemoryAllocator map, stream: %p.New NpuMemoryAllocator fail, device_id: %u, stream: %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNew NpuMemoryAllocator fail, device_id,: %u, stream: %p.[%s:%d]%lu %s:Create NpuMemoryAllocator, device_id: %u, stream: %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s [current stream].Param:buffer is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:buffer]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s [%p]Param:allocator is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:allocator]null is invalid[%s:%d]%lu %s:To deallocating buffer, addr = %p[%s:%d]%lu %s:Deallocating buffer successfully. addr = %p[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:size_t]Memory size is 0, device_id = %u, size = %zu.Memory size is 0, device_id = %u, size = %lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:size_t]Invalid HBM memory size: %zu bigger than limit:%zu, check invalid.Invalid HBM memory size: %lu bigger than limit:%lu, check invalid.[%s:%d]%lu %s:Padding size [%zu] by %d. final size = [%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] Failed, device_id = %u, size = %zumalloc memory failed, device_id = %u, size = %lu[%s:%d]%lu %s:Allocating buffer of size %zu successfully. device_id = %u, address = %pClearStreamGetAllocatorDeallocateAllocateAllocateCachingMemInitCachingllocatorTryFreeAndMallocTryFreeCachingMemGetAllocatorGetAllocatorFreeCachedMemFinalize~NpuMemoryAllocatorN2ge15MemoryAllocatorEN2ge16CachingAllocatorEtensor_value.cc[%s:%d]%lu %s:size is 0input allocator is NULL.allocate failed, size = %zu.TensorValue[unnamed] ref_addr = , size = addr = (nil)[%s:%d]%lu %s:Tensor created. addr = %p, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:NpuMemoryAllocator] allocator is NULL.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][Memory] Failed. size = %zu.[%s:%d]%lu %s:Tensor created. addr = %p, size = %zu, mem_type = %d[%s:%d]%lu %s:TensorValue[%s] is empty[%s:%d]%lu %s:Unref tensor: %sMutableDataGetDataGetSizeDestroyCreateCreate_atomic_compile_info_json_atomic_compile_info_keyN2ge15NodeBinSelectorEN2ge24OneNodeSingleBinSelectorEHYBRID_PROFILING_LEVELhybrid_execution_context.cc[%s:%d]%lu %s:Got profiling level = %ldParam:profiler is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:profiler]null is invalid[%s:%d]%lu %s:Got end of sequence[%s:%d]%lu %s:The model with multiple datasets aborts normally[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtStreamSynchronizeWithTimeout] failed, ret:%d.rtStreamSynchronizeWithTimeout failed, ret:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtStreamSynchronizeWithTimeout] failed, ret = %dinvoke rtStreamSynchronizeWithTimeout failed, ret = %d[%s:%d]%lu %s:[Dump][ExceptionInfo] Exception info is null.[%s:%d]%lu %s:[Dump][ExceptionInfo] Start to search dynamic op info and to dump.[%s:%d]%lu %s:[Dump][ExceptionInfo] Start to search static op info and to dump.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][ExceptionInfo] Dump op exception info failed.DumpExceptionInfoSynchronizeInitProfilerhybrid_model_async_executor.cc[%s:%d]%lu %s:Hybrid model start. model_id = %u, device_id = %u[%s:%d]%lu %s:data_wrapper is null!, ret = %u[%s:%d]%lu %s:Getting the input data, model_id:[%u][%s:%d]%lu %s:Model thread Run begin, model id:[%u], data index:[%u].[%s:%d]%lu %s:Executor execute model:[%u] is not success.[%s:%d]%lu %s:Model run end, model id:[%u]Data queue is full, please call again later, model_id %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Push][Data] Data queue is full, please call again later, model_id %u [%s:%d]%lu %s:EnqueueData successfully. model_id = %u, data_index = %u[%s:%d]%lu %s:Start to execute model.Param:tensor_desc_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_desc_ptr]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Execute] Failed, model_id = %u.Param:executor_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:executor_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][CopyOutputs]Failed to copy outputs, model_id = %u.[%s:%d]%lu %s:Done copying output data successfully. output count = %zu[%s:%d]%lu %s:Set output[%d], tensor size = %ld, shape = [%s][%s:%d]%lu %s:HybridModelExecutor::Start IN, has listener = %dModel already started, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][RunState] Model already started, model_id:%u.[Check][RunState] Failed to start, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][RunState] Failed to start, model_id:%u.[%s:%d]%lu %s:HybridModelExecutor::Start successfully.[%s:%d]%lu %s:HybridModel stage nums:%zuParam:data_inputer_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_inputer_]null is invalid[%s:%d]%lu %s:load with external stream = %pParam:model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_]null is invalidParam:graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph]null is invalidrtStreamCreateWithFlags(&default_stream_guarder.default_stream, static_cast(RT_STREAM_PRIORITY_DEFAULT), stream_flags)[%s:%d]%lu %s:Create default stream=%p, device id = %urtStreamCreateWithFlags(&stream_, static_cast(RT_STREAM_PRIORITY_DEFAULT), stream_flags)[%s:%d]%lu %s:Create stream=%p, device id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HybridModelExecutor] failed, model_id:%u.rtSetDevice(device_id)((executor_) != nullptr)Assert (BuildExecutor() == SUCCESS) failed, expect actual std::future_error: ExecuteExecuteoperator()RunInternalCheckBlockingOpInitBuildExecutorStopStartEnqueueData~HybridModelAsyncExecutor*NSt13__future_base17_Async_state_implINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid24HybridModelAsyncExecutor5StartERKSt10shared_ptrINS4_13ModelListenerEEEUlRKN13error_message7ContextEE_SD_EEEEjEE*NSt13__future_base15_Deferred_stateINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid24HybridModelAsyncExecutor5StartERKSt10shared_ptrINS4_13ModelListenerEEEUlRKN13error_message7ContextEE_SD_EEEEjEE*ZN2ge6hybrid24HybridModelAsyncExecutor11RunInternalEvEUlvE_*ZN2ge6hybrid24HybridModelAsyncExecutor11RunInternalEvEUlvE0_*St23_Sp_counted_ptr_inplaceINSt13__future_base17_Async_state_implINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid24HybridModelAsyncExecutor5StartERKSt10shared_ptrINS5_13ModelListenerEEEUlRKN13error_message7ContextEE_SE_EEEEjEESaISK_ELN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base15_Deferred_stateINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid24HybridModelAsyncExecutor5StartERKSt10shared_ptrINS5_13ModelListenerEEEUlRKN13error_message7ContextEE_SE_EEEEjEESaISK_ELN9__gnu_cxx12_Lock_policyE2EE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEENSt6thread8_InvokerISt5tupleIJZN2ge6hybrid24HybridModelAsyncExecutor5StartERKSt10shared_ptrINSA_13ModelListenerEEEUlRKN13error_message7ContextEE_SJ_EEEEjEE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZNSt13__future_base17_Async_state_implINS1_IS2_IJZN2ge6hybrid24HybridModelAsyncExecutor5StartERKSt10shared_ptrINS5_13ModelListenerEEEUlRKN13error_message7ContextEE_SE_EEEEjEC4EOSJ_EUlvE_EEEEEENSt13__future_base13_State_baseV2ENSt13__future_base21_Async_state_commonV2ENSt13__future_base7_ResultIjEESt15_Sp_counted_ptrIPN2ge12GeTensorDescELN9__gnu_cxx12_Lock_policyE2EEhybrid_model_executor.cc[%s:%d]%lu %s:The %s is %s.[%s:%d]%lu %s:Mem type is %dtensor_sizeoutput_size[%s:%d]%lu %s:Free device addr is %p[%s:%d]%lu %s: ErrorNo: %u(%s) %sExecuteWithStreamAsync only support dynamic model with rt2 executor currently![%s:%d]%lu %s:OnComputeDone. model id = %u, data index = %u, execution ret = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][OnComputeDone] failed, model_id = %u.[%s:%d]%lu %s:Can not get %s attr.[%s:%d]%lu %s:Sync var data, model id:%urtMemcpy(global_step_var->MutableData(), global_step_var->GetSize(), v_step.data(), v_step.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:No GLOBAL_STEP variable was found.input data size(%lu) does not match model required size(%lu), ret failed, model_id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]input data size(%lu) does not match model required size(%lu), ret failed, model_id = %u.Param:tensor_buffer is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_buffer]null is invalid[%s:%d]%lu %s:To copy input data for input[%zu][%s:%d]%lu %s:[IMAS]CopyPlainData memcpy graph_%u type[F] output[%zu] memaddr[%p] mem_size[%zu] datasize[%lu]rtMemcpy(args.inputs[input_index].MutableData(), mem_size, data_buf.data, data_buf.length, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Start to build device tensor with details [%s].[%s:%d]%lu %s:Init input[%u], node = %s, is_dynamic = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Size] from %s failed[%s:%d]%lu %s:[%s] Tensor size == 0[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorMemorySize] Failed to calc tensor size[%s:%d]%lu %s:[%s] Tensor size updated to %ld[Invoke][GetShapeRange] failed, ret=%u, model_id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetShapeRange] failed, ret=%u, model_id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Range]Dim out of range, shape idx = %zu, dim idx = %zu,dim = %ld, range = [%ld, %ld], model_id = %u.Dim out of range, shape idx = %zu, dim idx = %zu, dim = %ld,range = [%ld, %ld], model_id = %u.[%s:%d]%lu %s:Update shape[%s] of input[%zu] to [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetTensorMemorySizeInBytes]Failed to calc tensor size,index = %zu, shape = [%s], model_id = %u.[%s:%d]%lu %s:Input tensor[%zu] size = %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Blob size mismatches, expect at least %zu, but got %zu, model_id = %uBlob size mismatches, expect at least %zu, but got %zu, model_id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Range]Shape index out of range, index = %zu, shape size = %zu model_id = %u.Shape index out of range, index = %zu, shape size = %zu, model_id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sPrepare Dynamic input failed for index = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sCopy input data failed for index = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Output sizes mismatch. From op_desc = %zu, and from output tensors = %zu, model_id = %u.Output sizes mismatch. From op_desc = %zu, and from output tensors = %zu, model_id = %u.[%s:%d]%lu %s:Number of outputs = %zu[%s:%d]%lu %s:Start to process output[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][TensorMemSize]Failed for output[%zu]. shape = [%s], type = %s, format = %s[%s:%d]%lu %s:Got tensor size for output[%zu] successfully. shape = [%s], type = %s, format = %s, size = %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]output[%zu] tensor size(%zu) is not enough for output shape [%s], model_id = %u.output[%zu] tensor size(%zu) is not enough for output shape [%s] model_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][DeviceTensor] failedParam:aligned_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:aligned_ptr]null is invalidParam:data_buf is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_buf]null is invalidrtMemcpy(data_buf, static_cast(output_size), output_tensor.GetData(), static_cast(output_size), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:Output [%zu] is empty. shape = [%s][%s:%d]%lu %s:Output[%zu] added, type = %s, shape = [%s], size = %ld[%s:%d]%lu %s:Start to handle result. model id = %u, data index = %u, execution ret = %u[%s:%d]%lu %s:End of sequence, model id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:Status] failed to execute graph. model_id = %ufailed to execute graph. model_id = %uParam:output_data is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_data]null is invalid[%s:%d]%lu %s:Executed graph successfully, model id = %u, data_index = %u.vector::_M_insert_auxoperator()BuildDeviceTensorExecuteWithStreamAsyncParserContextOptionHandleResultCopyOutputsOnComputeDonePrepareExecuteArgsCopyDataToExecutArgsPrepareDynamicInputSyncVarDataInitInputDesc*ZNK2ge6hybrid19HybridModelExecutor17BuildDeviceTensorERNS0_11TensorValueERNS_12GeTensorDescElRSt6vectorINS_6TensorESaIS7_EEEUlPhE_N2ge6hybrid19HybridModelExecutorESt15_Sp_counted_ptrIPN2ge6hybrid12TensorBufferELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge10AlignedPtrELN9__gnu_cxx12_Lock_policyE2EEhybrid_model_pipeline_executor.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sPipeline executor not support upper interface RunGraph[%s:%d]%lu %s:~StageExecutor(), id = %dtid:%lu [%s] [Synchronize] End, ret = %urtCtxSetCurrent(context_.rt_context)[%s:%d]%lu %s:session id from model = %lu, from context = %luParam:context_.allocator is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context_.allocator]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context_.callback_manager]null is invalidParam:context_.callback_manager is nullptr, check invalid[%s:%d]%lu %s:[Executor: %d] Start to init StateExecutorrtStreamCreate(&stream_, static_cast(RT_STREAM_PRIORITY_DEFAULT))rtStreamCreate(&hccl_stream_, static_cast(RT_STREAM_PRIORITY_DEFAULT))Param:root_graph_executor_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_graph_executor_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][RootGraphExecutor]Failed.[%s:%d]%lu %s:[Executor: %d] Init stage executor successfully[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SyncVarData] failed, model_id:%u.tid:%lu [%s] [SyncVarData] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][PrepareExecuteArgs] failed to copy input data to model, model_id:%u.tid:%lu [%s] [CopyInputData] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][PreRun] failed, model_id:%u.[%s:%d]%lu %s:HybridModel will execute in pipeline modetid:%lu [%s] [RunInternal] [iteration = %d] Starttid:%lu [%s] [RunInternal] [iteration = %d] End[%s:%d]%lu %s:run iterator count is %lu, model_id:%u[%s:%d]%lu %s:Preload const host tensor, node_id = %ld, output id = %d[%s:%d]%lu %s:~HybridModelPipelineExecutor()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][wait_for]Wait timed out.[%s:%d]%lu %s:[Executor: %d] send end taskParam:stage_executor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:stage_executor]null is invalid[%s:%d]%lu %s:Number of stages = %d, number of executors = %drtCtxGetCurrent(&config_.rt_context)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][InputDesc] failed, model_id:%u.[%s:%d]%lu %s:Starting executor %zu[%s:%d]%lu %s:Start to execute with loops, loop count = %d[%s:%d]%lu %s:Start to sync result of executor[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Result][Executor: %zu] Failed to schedule tasks.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][GraphInternal] Dump exception info failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Synchronize] failed for [Executor: %zu].[Executor: %zu] failed to Synchronize result.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Error]Error occurred while execution.Error occurred while execution.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Outputs]Failed from executor[%zu][%s:%d]%lu %s:execute with loops successfully, loop count = %d[%s:%d]%lu %s:Stage %d await start.[%s:%d]%lu %s:Stage %d await ended.[%s:%d]%lu %s:[Executor: %d] thread start[%s:%d]%lu %s:Int32 %d and %d multiplication can result in overflow![%s:%d]%lu %s:[Executor: %d] loop count = %dParam:release_guard is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:release_guard]null is invalid[%s:%d]%lu %s:[Executor: %d] Start to wait for task.[%s:%d]%lu %s:[Executor: %d] receive end task[%s:%d]%lu %s:[Executor: %d] Got task, stage = %d, iteration = %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Range][Executor: %d] Unexpected iteration: %ld.[Executor: %d] Unexpected iteration: %ld.[%s:%d]%lu %s:[%d] Add StreamWaitEventrtStreamWaitEvent(stream_, task_info.event)tid:%lu [%s] [iteration = %ld] [Stage = %d] EventWait Endtid:%lu [%s] [iteration = %ld] [Stage = %d] Start[%s:%d]%lu %s:[Executor: %d] To ResetExecutionContext[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ResetExecutionContext][Executor: %d] Failed to reset contexttid:%lu [%s] [Stage = %d] PartialExecuteAsync Starttid:%lu [%s] [Stage = %d] PartialExecuteAsync End[%s:%d]%lu %s:[Executor: %d] PartialExecuteAsync end, ret is %u[%s:%d]%lu %s:[Executor: %d] PartialExecuteAsync receive eosrtEventCreate(&next_task.event)rtEventRecord(next_task.event, context_.hccl_stream)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Synchronize][Executor: %d] Failed to sync result:%d. iteration = %ld[Executor: %d] Failed to sync result:%d. iteration = %ldrtEventDestroy(task_info.event)tid:%lu [%s] [iteration = %ld] [Stage = %d] EventDestroy Endtid:%lu [%s] [iteration = %ld] [Stage = %d] Endtid:%lu [%s] [iteration = %ld] Schedule End[%s:%d]%lu %s:[Executor: %d] End of iteration [%ld][%s:%d]%lu %s:[Executor: %d] Push item successfully.[%s:%d]%lu %s:[Executor: %d] Process task ended.ModelExecutorITER_NUMwait timed out[%d].kMinLoopCountloop_counttid:%lu [%s] [Cleanup] End~HybridModelPipelineExecutorExecuteExecuteProcessOnlineModelExecuteOnlineModelPreRunInitStageExecutorsInitInitExecutionContextAwaitAwaitStartExecuteEndTaskAndReleaeResetExecutionContextInit~StageExecutor*ZN2ge6hybrid13StageExecutor5StartERKSt6vectorINS0_11TensorValueESaIS3_EERKS2_ISt10shared_ptrIKNS_12GeTensorDescEESaISB_EEiEUlvE_*ZN2ge6hybrid13StageExecutor5StartERKSt6vectorINS0_11TensorValueESaIS3_EERKS2_ISt10shared_ptrIKNS_12GeTensorDescEESaISB_EEiEUlvE0_*NSt13__future_base17_Async_state_implINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid27HybridModelPipelineExecutor7ExecuteERNS5_19HybridModelExecutor11ExecuteArgsEEUlRKN13error_message7ContextEE_SB_EEEEjEE*NSt13__future_base15_Deferred_stateINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid27HybridModelPipelineExecutor7ExecuteERNS5_19HybridModelExecutor11ExecuteArgsEEUlRKN13error_message7ContextEE_SB_EEEEjEE*St23_Sp_counted_ptr_inplaceINSt13__future_base17_Async_state_implINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid27HybridModelPipelineExecutor7ExecuteERNS6_19HybridModelExecutor11ExecuteArgsEEUlRKN13error_message7ContextEE_SC_EEEEjEESaISI_ELN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base15_Deferred_stateINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid27HybridModelPipelineExecutor7ExecuteERNS6_19HybridModelExecutor11ExecuteArgsEEUlRKN13error_message7ContextEE_SC_EEEEjEESaISI_ELN9__gnu_cxx12_Lock_policyE2EE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEENSt6thread8_InvokerISt5tupleIJZN2ge6hybrid27HybridModelPipelineExecutor7ExecuteERNSB_19HybridModelExecutor11ExecuteArgsEEUlRKN13error_message7ContextEE_SH_EEEEjEE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZNSt13__future_base17_Async_state_implINS1_IS2_IJZN2ge6hybrid27HybridModelPipelineExecutor7ExecuteERNS6_19HybridModelExecutor11ExecuteArgsEEUlRKN13error_message7ContextEE_SC_EEEEjEC4EOSH_EUlvE_EEEEEEN2ge6hybrid27HybridModelPipelineExecutorESt15_Sp_counted_ptrIPN2ge10ScopeGuardELN9__gnu_cxx12_Lock_policyE2EElazy_recompile((rt_ret) == 0)Variable %s not foundhostdevice hbmdevice rdmaundefineddesc , placement , address , size Failed to get file path.((model) != nullptr)num_outputs_[%s:%d]%lu %s: Output %zu %s((output_holder) != nullptr)((allocators) != nullptr)Failed get scalable allocator((allocator) != nullptr)inputs.size()num_inputs_[%s:%d]%lu %s: Input %zu %srt_outputs_.size()((ret) == ge::SUCCESS)((var_desc) != nullptr)var_instance.size >= 0UFailed get inputs data blob((buffer.data) != nullptr)input_data.shapes.size()args.outputs.size()Shared constant copy failed.((i.get()) == ge::SUCCESS)H2D copy failed.weights.size() == 1U((weight) != nullptr)((constant_desc) != nullptr)((op_desc) != nullptr)AssembleSharedConstantsAssembleFileConstantsOnHostAssembleFileConstantsOnDevice((root_graph) != nullptr)((var_manager) != nullptr)ge.exec.enableCopyOutputAddrRunCtxInit::ALL((InitCtx()) == ge::SUCCESS)((ge_root_model) != nullptr)_enable_dynamic_batchhybrid_model_rt_v2_executor.cc((TensorUtils::GetSize(desc, size)) == ge::GRAPH_SUCCESS)((TensorUtils::GetTensorMemorySizeInBytes(desc, size)) == ge::GRAPH_SUCCESS)[%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.[%s:%d]%lu %s:SyncStream return END_OF_SEQUENCEiter != named_variables_.end()[%s:%d]%lu %s:Skip initialized %s %s with out[0][%s:%d]%lu %s:Assign %s %s logical memory with out[0].[Assign][VarMem] for %s failed.((session_var_manager_->AssignVarMem(var_name, var_desc, output_tensor, memory_type)) == ge::SUCCESS)[Get][VarAddr] failed, var name[%s]((session_var_manager_->GetVarAddr(var_name, output_tensor, var_addr)) == ge::SUCCESS)((FileConstantUtils::GetFilePath(op_desc, file_id_path, helper.file_path, helper.offset, length)) == ge::SUCCESS)Failed to get file constant size by tensor desc.((TensorUtils::GetTensorSizeInBytes(var_instance.desc, weight_size)) == ge::GRAPH_SUCCESS)Weight size[%ld] can not be larger than mem size[%ld].(weight_size <= var_instance.size)[%s:%d]%lu %s:Finish to prepare for loading file constant for %s.[%s:%d]%lu %s:Clear model output holder with block %prtSetDevice(static_cast(device_id))[%s:%d]%lu %s:Copy constant %s size %ld to device addr %p((rtMemcpy(helper.addr, helper.size, helper.weight->GetData().data(), helper.weight->GetData().size(), RT_MEMCPY_HOST_TO_DEVICE)) == 0)[%s:%d]%lu %s:Constant %s size %ld has been loaded to device addr %p, no need to reload.[%s:%d]%lu %s:File constant [%s], file path [%s] weight size [%ld] has been loaded to addr [%p], no need to reload.((FileConstantUtils::CopyOneWeightFromFile(helper.dev_addr, helper.file_path, helper.offset, helper.file_length, helper.left_size)) == ge::SUCCESS)[%s:%d]%lu %s:Load file constant [%s] file path [%s] weight size [%ld] to addr [%p] success.!model->GetSubgraphInstanceNameToModel().empty()[%s:%d]%lu %s:No session attr named %s on model %s, use default session id %lu[%s:%d]%lu %s:HybridModel will execute in rt2.0 mode[%s:%d]%lu %s:run iterator count is %lu, model_id: %u[%s:%d]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second.HybridModelRtV2Executor::HandleResult((outputs[i].MutableData().SetData(ge::PtrToPtr(rt_output->GetAddr()), buffer_size, deleter)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:Output index %zu data type is %d. Get or calculate buffer size %zu[%s:%d]%lu %s:Start execute ExecuteWithStreamAsync with rtv2 executor of graph %sFailed get scalable allocators[%s:%d]%lu %s:input %zu has placement %s, and executor expect placement %s[%s:%d]%lu %s:input[%zu] addres = %p, size = %zu, placement = %u, which is on device, no need do alloc memory and rtmemcpyInput %zu has unexpected placement %dgert::TensorPlacementUtils::IsOnHostNotFollowing(rt_input->GetPlacement())Input %zu %s on host must be scalar or list-scalarrt_input->GetOriginShape().GetDimNum() <= 1U((rt_input->MutableTensorData().SetAddr(const_cast(address), nullptr)) == ge::GRAPH_SUCCESS)[%s:%d]%lu %s:The user did specify output memory when index = %zu, address = %p, size = %zu, placement = %d((rt_outputs_[i]->MutableTensorData().SetAddr(address, nullptr)) == ge::GRAPH_SUCCESS)Failed to execute rt v2 model for graph %s, model_id %u.[%s:%d]%lu %s:ExecuteWithStreamAsync with rtv2 executor for graph %s succeed!((PostProcResult(outputs)) == ge::SUCCESS)((node->GetOpDesc()) != nullptr)Output desc of variable %s is nullptr[%s:%d]%lu %s:Skip initialized %s %s with desc %s[%s:%d]%lu %s:Assign %s %s logical memory with desc %s((session_var_manager_->AssignVarMem(var_name, node->GetOpDesc(), *var_desc, (0x2U))) == ge::SUCCESS)Output desc of %s %s is nullptr((session_var_manager_->GetVarAddr(var_name, *var_desc, var_logic)) == ge::SUCCESS)Get %s %s memory[type:%u] with desc %s on device %u failed((var_instance.addr) != nullptr)((GetTensorDescSize(*var_desc, var_instance.size)) == ge::SUCCESS)((session_var_manager_) != nullptr)Failed to get FILE_CONSTANT_PATH option.((FileConstantUtils::GetFileIdToPathMapFromOption(file_id_and_path_map)) == ge::SUCCESS)((FileConstantUtils::GetFilePath(op_desc, file_id_and_path_map, file_path, offset, length)) == ge::SUCCESS)((external_weight_manager) != nullptr)((FileConstantUtils::CopyOneWeightFromFile(dev_addr, file_path, offset, file_length, left_size)) == ge::SUCCESS)[%s:%d]%lu %s:Load file constant [%s] weight size [%ld] to addr [%p] success.[%s:%d]%lu %s:File constant [%s] weight size [%ld] has been loaded to addr [%p], no need to reload.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Input size mismatches, Input desc size %zu and input size %zu are not sameInput size mismatches, Input desc size %zu and input size %zu are not same.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][PrepareInputData]Failed to copy input data to model, model_id = %u[%s:%d]%lu %s:Done parser input data successfully.[%s:%d]%lu %s:Add ref count for tensor with details [%s][%s:%d]%lu %s:Build device tensor successfully with details [%s][%s:%d]%lu %s:Start execute hybrid model v2 executor of graph %s, stream: %p[%s:%d]%lu %s:Construct RT2 input index[%u], placement: %u, no need to execute rtMemcpy.std::numeric_limits::max() - (kMemAlignSize * 2U)((rtMemcpy(input->GetAddr(), aligned_size, input_data.blobs[i].data, input_data.blobs[i].length, RT_MEMCPY_HOST_TO_DEVICE)) == 0)((DoRtStreamSyncWithTimeout(model_args.stream)) == ge::SUCCESS)[%s:%d]%lu %s:Execute sync rt v2 model for graph %s succeed[%s:%d]%lu %s:InitPrivateAttrs, node type: %s, is_fp: %d, is_bp: %d, log id: %lld, logic_stream_id: %lld[%s:%d]%lu %s:Start to copy shared constant, num: %zu.[%s:%d]%lu %s:Success to copy shared constant.Constant %s has unexpected num %zu weights[%s:%d]%lu %s:Constant node[%s] weight size is 0, expected > 0, skip assembling.((weight->GetData().GetData()) != nullptr)[%s:%d]%lu %s:After assemble type %s, name %s, %s((AssignVarLogicalMemory(node)) == ge::SUCCESS)((GetVarDeviceInstance(node, var_instance)) == ge::SUCCESS)((MultiThreadSharedConstantCopy(helpers)) == ge::SUCCESS)[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second.[%s:%d]%lu %s:Assemble constant for host execute graph %u((AssignVarLogicalMemory(node, assigned_here)) == ge::SUCCESS)[%s:%d]%lu %s:Set variable %s allocated graph id %u((session_var_manager_->SetAllocatedGraphId(node->GetName(), graph_id_)) == ge::SUCCESS)((ge::TransVarDataUtils::TransAllVarData(variables, session_id_, graph_id_, device_id_)) == ge::SUCCESS)[%s:%d]%lu %s:Exec file constant on host.Output desc of file constant %s is nullptr.((LoadFileConstantToAddr(file_constant_node->GetOpDesc(), var_instance)) == ge::SUCCESS)Malloced shm %s with size %lu not enough for variable %sstatic_cast(var_instance.size) <= shared_memory_info.mem_size[%s:%d]%lu %s:Collect host %s %s[%s:%d]%lu %s:Collect device %s %s((AssembleHostVariables(host_variables)) == ge::SUCCESS)((AssembleDeviceVariables(device_variables)) == ge::SUCCESS)[%s:%d]%lu %s:Exec file constant on device.((FileConstantUtils::GetFileIdToPathMapFromOption(file_id_path)) == ge::SUCCESS)((AssignVarLogicalMemory(file_constant_node, assigned_here)) == ge::SUCCESS)((session_var_manager_->SetAllocatedGraphId(node_name, graph_id_)) == ge::SUCCESS)((GetVarDeviceInstance(file_constant_node, var_instance)) == ge::SUCCESS)((PreLoadFileConstant(file_constant_node->GetOpDesc(), var_instance, file_id_path, helper)) == ge::SUCCESS)((MultiThreadH2DCopy(multi_node_infos)) == ge::SUCCESS)((model->ge_root_model_) != nullptr)((GetModelSessionId(model->ge_root_model_, session_id_)) == ge::SUCCESS)((GetModelSessionId(model, session_id)) == ge::SUCCESS)[%s:%d]%lu %s:Model %u set memory manager for var manager of session %lu[%s:%d]%lu %s:[Init] Variable mem auto malloc, no need to malloc var max size mem.[%s:%d]%lu %s:Init variable base by model %u of session %lu[%s:%d]%lu %s:Do not need init model memory in HOST_CPU, model[%s].[%s:%d]%lu %s:Attr model var size of model %s is %ld[%s:%d]%lu %s:Model attr variable size is 0, will malloc %zu bytes for constant[%s:%d]%lu %s:Model %u malloc %zu bytes for variable and constant((var_manager->MallocVarMemory(total_size, device_id)) == ge::SUCCESS)((EnsureModelVarMemoryMalloced(model->ge_root_model_, var_manager, device_id_)) == ge::SUCCESS)((graph_var_visitor_.Init(var_manager, device_id_, session_id_, graph_id_)) == ge::SUCCESS)[%s:%d]%lu %s:Collect %s node %s[%s:%d]%lu %s:Start assemble %zu variables of graph %s((graph_var_visitor_.AssembleVariables(var_mgr_nodes.variables)) == ge::SUCCESS)[%s:%d]%lu %s:Start assemble %zu shared constants of graph %s((graph_var_visitor_.AssembleSharedConstants(var_mgr_nodes.shared_constants)) == ge::SUCCESS)[%s:%d]%lu %s:Start assemble %zu file constants of graph %s((graph_var_visitor_.AssembleFileConstants(var_mgr_nodes.file_constants)) == ge::SUCCESS)ge.exec.dynamicGraphExecuteMode[%s:%d]%lu %s:Get npu iterations per loop %s and will loop %zu for graph %s((run_ctx_.Init(model_)) == ge::SUCCESS)[%s:%d]%lu %s:Current id of hybrid model %s is %u.Compiled model of graph %s is nullptr((named_model.second) != nullptr)Failed create rt2 executor for model %s((profiler_collector_) != nullptr)[%s:%d]%lu %s:Hybrid model of graph %s is multi batch, should exclude the last input[%s:%d]%lu %s:Hybrid model of graph %s has %zu inputs and %zu outputsFailed create output %zu tensor desc((output_descs_.back()) != nullptr)[%s:%d]%lu %s:Load model of graph: %s, session: %lu, device: %uFailed load rt v2 model for graph %s((executor_->Load(model_args, load_args)) == ge::GRAPH_SUCCESS)vector::reserve[%s:%d]%lu %s:commit run task enter.[%s:%d]%lu %s: ErrorNo: %u(%s) %sthread pool has been stopped.[%s:%d]%lu %s: ErrorNo: %u(%s) %sMake shared failed.[%s:%d]%lu %s:commit run task endBuildDeviceTensorStepDoneDoRtStreamSyncWithTimeoutExecuteExecuteExecuteWithStreamAsyncPostProcResultPrepareInputDataExecuteOnlineModelInitInitCtxInitTraningTraceInfoCollectGraphVarMgrNodesGetModelVarSizeEnsureModelVarMemoryMallocedGetModelSessionIdInitGetVarShapeAndMemoryInitAssembleFileConstantsOnDevicecommitMultiThreadH2DCopyoperator()LoadFileConstantToDevicePreLoadFileConstantAssembleFileConstantsOnHostLoadFileConstantToAddrAssembleSharedConstantsAssembleHostSharedConstantscommitMultiThreadSharedConstantCopyoperator()CopySharedConstantAssembleDeviceSharedConstantsAssembleDeviceVariablesAssembleHostVariablesGetOrCreateVarMemAssembleVariablesGetTensorDescSizeGetVarDeviceInstanceAssignVarLogicalMemory*ZNK2ge6hybrid15GraphVarVisitor18CopySharedConstantERKSt10shared_ptrINS_10VarManagerEEjRKSt6vectorINS0_24SharedConstantCopyHelperESaIS8_EEEUlvE_*ZNK2ge6hybrid15GraphVarVisitor24LoadFileConstantToDeviceERKSt10shared_ptrINS_21ExternalWeightManagerEEjRSt6vectorINS0_13H2DCopyHelperESaIS8_EEEUlvE_*ZN2ge6hybrid23HybridModelRtV2Executor18ExecuteOnlineModelERKNS_9InputDataEPNS_10OutputDataESt10shared_ptrINS_13ModelListenerEEEUlvE_*ZNK2ge6hybrid23HybridModelRtV2Executor14PostProcResultERSt6vectorINS_8GeTensorESaIS3_EEEUlPhE_*ZN2ge6hybrid23HybridModelRtV2Executor22ExecuteWithStreamAsyncERKSt6vectorINS_8GeTensorESaIS3_EERS5_PvEUlvE_*ZN2ge6hybrid23HybridModelRtV2Executor7ExecuteERKNS_9InputDataERNS0_19HybridModelExecutor11ExecuteArgsEEUlvE_*ZNK2ge6hybrid23HybridModelRtV2Executor17BuildDeviceTensorERNS0_11TensorValueERNS_12GeTensorDescElRSt6vectorINS_6TensorESaIS7_EEEUlPhE_FjRKSt10shared_ptrIN2ge10VarManagerEEjRKSt6vectorINS0_6hybrid24SharedConstantCopyHelperESaIS7_EEEFjRKSt10shared_ptrIN2ge21ExternalWeightManagerEEjRSt6vectorINS0_6hybrid13H2DCopyHelperESaIS7_EEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFSt8functionIFjPN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINSA_21ExternalWeightManagerEEjRSt6vectorINSB_13H2DCopyHelperESaISK_EEEESD_SG_jSM_EESaIiEFjvEE6_M_runEvEUlvE_jEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFSt8functionIFjPN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINSA_21ExternalWeightManagerEEjRSt6vectorINSB_13H2DCopyHelperESaISK_EEEESD_SG_jSM_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFSt8functionIFjPKN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINSA_10VarManagerEEjRKSt6vectorINSB_24SharedConstantCopyHelperESaISL_EEEESE_SH_jSN_EESaIiEFjvEE6_M_runEvEUlvE_jEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFSt8functionIFjPKN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINSA_10VarManagerEEjRKSt6vectorINSB_24SharedConstantCopyHelperESaISL_EEEESE_SH_jSN_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEEN4gert6memory15MemSynchronizerEN4gert12RtVarManagerEN2ge6hybrid15GraphVarVisitorEN2ge6hybrid23HybridModelRtV2ExecutorEMN2ge6hybrid15GraphVarVisitorEKFjRKSt10shared_ptrINS_10VarManagerEEjRKSt6vectorINS0_24SharedConstantCopyHelperESaIS8_EEENSt13__future_base16_Task_state_baseIFjvEEEMN2ge6hybrid15GraphVarVisitorEKFjRKSt10shared_ptrINS_21ExternalWeightManagerEEjRSt6vectorINS0_13H2DCopyHelperESaIS8_EEENSt13__future_base11_Task_stateISt5_BindIFSt8functionIFjPKN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINS3_10VarManagerEEjRKSt6vectorINS4_24SharedConstantCopyHelperESaISE_EEEES7_SA_jSG_EESaIiEFjvEEENSt13__future_base11_Task_stateISt5_BindIFSt8functionIFjPN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINS3_21ExternalWeightManagerEEjRSt6vectorINS4_13H2DCopyHelperESaISD_EEEES6_S9_jSF_EESaIiEFjvEEESt15_Sp_counted_ptrIPN4gert10TensorDataELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPSt13packaged_taskIFjvEELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge31ExpandableActiveMemoryAllocatorESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEZN2ge10ThreadPool6commitIRSt8functionIFjPKNS_6hybrid15GraphVarVisitorERKSt10shared_ptrINS_10VarManagerEEjRKSt6vectorINS3_24SharedConstantCopyHelperESaISD_EEEEJS6_SB_RKjSH_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_ZN2ge10ThreadPool6commitIRSt8functionIFjPNS_6hybrid15GraphVarVisitorERKSt10shared_ptrINS_21ExternalWeightManagerEEjRSt6vectorINS3_13H2DCopyHelperESaISC_EEEEJS5_SA_RjSF_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFSt8functionIFjPKN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINS4_10VarManagerEEjRKSt6vectorINS5_24SharedConstantCopyHelperESaISF_EEEES8_SB_jSH_EESaIiEFjvEEESO_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFSt8functionIFjPN2ge6hybrid15GraphVarVisitorERKSt10shared_ptrINS4_21ExternalWeightManagerEEjRSt6vectorINS5_13H2DCopyHelperESaISE_EEEES7_SA_jSG_EESaIiEFjvEEESM_LN9__gnu_cxx12_Lock_policyE2EErt_v2_executor_factory.cc((node) != nullptr)((model->GetRootGraph()) != nullptr)((IsGraphStagePartitioned(model->GetRootGraph(), stage_partitioned)) == ge::SUCCESS)IsGraphStagePartitionedCreatert_v2_pipeline_executor.ccsucceed((library) != nullptr)Stage_((stage_graph) != nullptr)((stage_desc) != nullptr)argsdata((data_desc) != nullptr)((inputs.back()) != nullptr)((netoutput_desc) != nullptr)((netoutput) != nullptr)((stage_node) != nullptr)stage_subgraph_names.size()model_input_descs.size()model_output_descs.size()!stage_executors_.empty()truefalse((model_recover) != nullptr)CroppedStageGraph_sub_graph_((executor) != nullptr)((subgraph) != nullptr)((stage_model) != nullptr)[%s:%d]%lu %s:Initialize stage state worker thread runtime ctx[%s:%d]%lu %s:Start stop stage state %s[%s:%d]%lu %s:Stage state %s stop %sPipeline failed as stage %s status error!stage_executor->IsErrorStatus()Subgraph %s of node %s not found((subgraphs.back().second) != nullptr)[%s:%d]%lu %s:Collect subgraph %s of node %sFailed create stage op desc for stage %s((stage_desc->AddInputDesc("args" + std::to_string(inputs.size()), *desc)) == ge::GRAPH_SUCCESS)((data_desc->AddOutputDesc("y", *desc)) == ge::GRAPH_SUCCESS)((stage_desc->AddOutputDesc("output" + std::to_string(idx++), *desc)) == ge::GRAPH_SUCCESS)((stage_node->GetOpDesc()) != nullptr)((ge::GraphUtils::AddEdge(inputs[i]->GetOutDataAnchor(0), stage_node->GetInDataAnchor(i))) == ge::GRAPH_SUCCESS)((ge::GraphUtils::AddEdge(stage_node->GetOutDataAnchor(i), netoutput->GetInDataAnchor(i))) == ge::GRAPH_SUCCESS)((netoutput->GetOpDesc()) != nullptr)((stage_state->GetConsumedModelInputDesc(input_descs)) == ge::SUCCESS)((stage_state->GetProducedModelOutputDesc(output_descs)) == ge::SUCCESS)model_output_descs.insert(item).secondmodel_input_descs.rbegin()->first + 1Umodel_output_descs.rbegin()->first + 1U[%s:%d]%lu %s:Load stage state %s((rtCtxGetCurrent(&ctx)) == 0)[%s:%d]%lu %s:Load daemon stage state %s((stage_executors_[i]->LoadAsDaemon(arg, load_arg, ctx_initializer, notifications_.back())) == ge::SUCCESS)[%s:%d]%lu %s:Node %s %s stateful: %s((BuildStageNodeAndGraph(node, stage_node, stage_root)) == ge::SUCCESS)((GetNodeSubgraphs(node, library, graph_queue)) == ge::SUCCESS)((GetNodeSubgraphs(n, library, graph_queue)) == ge::SUCCESS)((GetNodeRelatedSubgraphs(stage_node, library, subgraphs)) == ge::SUCCESS)[%s:%d]%lu %s:Change subgraph %s parent node to stage node %s[%s:%d]%lu %s:Collect subgraph %s of stage %s to stage root graph %s[%s:%d]%lu %s:Cutout unused model of graph %sModel for stage subgraph %s is nullptrname_2_models.find(graph_name) != name_2_models.end()((CutoutUnusedGraphModel(subgraphs, stage_model)) == ge::SUCCESS)Failed create pipeline executor for model %sFound non-stage node %s %s in stage graph %s(kStageGraphOps.count(node->GetType()) > 0U)[%s:%d]%lu %s:Stage %s is meaningful as has data outputs[%s:%d]%lu %s:Stage %s is meaningful as control %sSubgraph %s of stage node %s not found[%s:%d]%lu %s:Stage %s is meaningful as contain stateful nodes((GetStageMeaning(node, root_graph, is_stage_meaningful)) == ge::SUCCESS)[%s:%d]%lu %s:Skip build state for meaning-less stage node %s[%s:%d]%lu %s:Start build executor for stage node %s((model_recover_guarder) != nullptr)Failed crop model for stage %sFailed create stage state for stage node %s((executor->stage_executors_.back()) != nullptr)((StageState::MappingStageIO(stage_2_states)) == ge::SUCCESS)((executor->Initialize()) == ge::SUCCESS)UnloadExecuteoperator()LoadInitializeCutoutUnusedGraphModelGetNodeSubgraphsGetNodeRelatedSubgraphsGraphAddOutputGraphAddInputBuildStageNodeAndGraphCropStageModelIsStatefulNodeGetStageMeaningCreate*ZN4gert20RtV2PipelineExecutor4LoadERKNS_15ModelExecuteArgERKNS_12ModelLoadArgEEUlvE_N4gert21RtV2ExecutorInterfaceEN4gert20RtV2PipelineExecutorESt15_Sp_counted_ptrIPN2ge6OpDescELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge12ComputeGraphESaIS1_ELN9__gnu_cxx12_Lock_policyE2EErt_v2_simple_executor.cc[%s:%d]%lu %s:Unload simple executor for model %s[%s:%d]%lu %s:Executor for model %s has already unloaded[%s:%d]%lu %s:Load simple executor for model %s[%s:%d]%lu %s:Executor for model %s has already loadedExecutor for model %s has not been load((config.profiler_collector->RecordStart()) == ge::SUCCESS)((config.profiler_collector->RecordEnd()) == ge::SUCCESS)loaded_((graph) != nullptr)MAX_RUNTIME_CORE_NUMBERFailed convert ge model of graph %s((ge::ConvertToInt32(std::string(max_runtime_core_num), max_core_num)) == ge::SUCCESS)[%s:%d]%lu %s:max runtime core number is %dFailed create rt2 executor for exec graph %sLoadExecuteUnloadCreateN4gert14ExecutorOptionEN4gert18RtV2SimpleExecutorEN4gert25MultiThreadExecutorOptionESt15_Sp_counted_ptrIPN4gert25ExecutorSubscriberGuarderELN9__gnu_cxx12_Lock_policyE2EErt_v2_stage_state.ccStage %s sync stream failed((output_stage) != nullptr)!output_stage->error_status_index < stage_outputs_.size()((input_stage) != nullptr)!input_stage->error_status_item.first < input_num((RunTask()) == ge::SUCCESS)item.first < args.num_output((notification_) != nullptr)output_index >= 0Stage for node %s not founditer != named_stages.end()anchor->GetIdx() >= 0Failed create executor for model %s[%s:%d]%lu %s:Stage %s run task, step %zu((executor_->Execute(execute_arg_, executor_inputs_.data(), executor_inputs_.size(), executor_outputs_.data(), executor_outputs_.size())) == ge::SUCCESS)((rtStreamSynchronize(execute_arg_.stream)) == 0)[%s:%d]%lu %s:Stage %s wait stage %s consume outputs, step %zuStage %s output stage %s status error[%s:%d]%lu %s:Stage %s produce outputs, step %zuStage %s output %zu not owned memoryIsTensorOwnedMemory(*executor_outputs_[i])[%s:%d]%lu %s:Stage %s step %zu output %zu %s[%s:%d]%lu %s:Stage %s consume stage %s outputs, step %zuStage %s input stage %s status error((input_stage->GetOutput(item.first, *executor_inputs_[index])) == ge::SUCCESS)[%s:%d]%lu %s:Stage %s step %zu get input %zu from stage %s output %zu %s[%s:%d]%lu %s:Stage %s inputs consumed, step %zu[%s:%d]%lu %s:Stage %s step %zu get input %zu from feed input %zu %s((AssembleModelInputs(args.inputs, args.num_input)) == ge::SUCCESS)((ConsumeInputs()) == ge::SUCCESS)((ProduceOutputs()) == ge::SUCCESS)[%s:%d]%lu %s:Stage %s step %zu output %zu assemble to fetch output %zu %s[%s:%d]%lu %s:Stage %s got an run task with expect steps %zu[%s:%d]%lu %s:Stage %s worker thread exiting[%s:%d]%lu %s:Start load stage %s, daemon %s((model_input_desc) != nullptr)((model_output_desc) != nullptr)[%s:%d]%lu %s:Start load executor of stage %s((rtStreamCreate(&execute_arg_.stream, 0)) == 0)((executor_->Load(execute_arg_, load_arg)) == ge::SUCCESS)[%s:%d]%lu %s:Start stop worker thread for stage %s[%s:%d]%lu %s:Worker thread for stage %s exited[%s:%d]%lu %s:Unload executor for stage %sFailed create notification for stage %s((Load(arg, load_arg, true)) == ge::SUCCESS)((stage_input_descs) != nullptr)std::all_of(stage_input_index.begin(), stage_input_index.end(), [&num_input](const size_t &i) { return i < num_input; })((stage_output_descs) != nullptr)stage_output_index < num_outputge::AttrUtils::GetInt(node->GetOpDesc(), ge::ATTR_NAME_INDEX, index)[%s:%d]%lu %s:Mapping stage %s input %zu to feed %zu[%s:%d]%lu %s:Mapping stage %s input %zu to stage %s output %u[%s:%d]%lu %s:Stage %s touch control input node %s((anchor->GetPeerOutAnchor()) != nullptr)output_index >= 0 && static_cast(output_index) < stage_node->GetAllOutDataAnchorsSize()[%s:%d]%lu %s:Mapping stage %s output %u to fetch %uAssembleModelInputsGetOutputProduceOutputsRunTaskFreeInterimOutputsConsumeInputsGetProducedModelOutputDescGetConsumedModelInputDescMappingStageIOStopRunInternaloperator()LoadAsDaemonLoadLoadUnloadCreate*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN4gert10StageState12LoadAsDaemonERKNS3_15ModelExecuteArgERKNS3_12ModelLoadArgESt8functionIFvvEERSt10shared_ptrINS3_17StageNotificationEEEUlvE_EEEEEESt15_Sp_counted_ptrIPN4gert17StageNotificationELN9__gnu_cxx12_Lock_policyE2EEkOnDeviceHbmkOnHostkFollowingkOnDeviceP2pkPlacementHostkPlacementDevicetype: origin format: storage format: origin shape: storage shape: placement: data ptr: []scalable_allocator_manager.cc((host_allocator) != nullptr)[%s:%d]%lu %s:Use external device allocator = %p with stream = %p[%s:%d]%lu %s:Create device allocator = %p with stream = %p((device_allocator) != nullptr)((p2p_device_allocator) != nullptr)GetAllocatorSt15_Sp_counted_ptrIPN2ge9AllocatorELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN4gert10AllocatorsELN9__gnu_cxx12_Lock_policyE2EEhybrid_model_rt_v1_executor.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][PrepareExecuteArgs]Failed to copy input data to model, model_id = %u[%s:%d]%lu %s:Done copying input data successfully.[%s:%d]%lu %s:Opdebug is open in hybrid enginestatic_cast( op_debug_register_.RegisterDebugForStream(stream_, op_debug_mode, data_dumper_))[%s:%d]%lu %s:Init global step when infer with op debug.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadDumpInfo] failed in hybrid engine, model_id = %u.[%s:%d]%lu %s:Dump op debug SUCCESS in hybrid engine[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Run][Execute] Single op model execute Failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Destroy][Callback] for failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][Callback] for failed.[%s:%d]%lu %s:HybridModel will execute in rt1.0 singleline mode[%s:%d]%lu %s:Start to cleanup.[%s:%d]%lu %s:Cleanup successfully.rtCtxGetCurrent(&context_.rt_context)[%s:%d]%lu %s:Start to init HybridGraphEngine.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][OpDebug] failed, model_id:%u.[%s:%d]%lu %s:HybridGraphEngine initialized successfully.tid:%lu [%s] [InitContext] Starttid:%lu [%s] [InitContext] EndParam:model_->GetRootGraph() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_->GetRootGraph()]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ExecuteAsync] Failed to execute partitioned call.tid:%lu [%s] [ExecuteAsync] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][GraphInternal] Synchronize failed.tid:%lu [%s] [Synchronize] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Outputs] failedParam:graph_item is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_item]null is invalid[%s:%d]%lu %s:[%s] Input[%zu] is not needed by graph, skip it.[%s:%d]%lu %s:[%s] Input[%zu] is not dynamic, skip it.Param:model_input_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_input_desc]null is invalid[%s] Input[%zu] get shape range failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ShapeRange] [%s] Input[%zu] get shape range failed[%s:%d]%lu %s:[%s] Input[%zu] shape is not needed to check by shape range, skip it.[%s] Inputs[%zu] is greater than or equal to input desc size[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s] inputs[%zu] is greater than or equal to input desc size[%zu].Param:args_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args_tensor_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s] Input desc shape [%zu] designed by user must be static.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][InputShape] [%s] check input [%zu] shape failed by shape range.Param:root_graph_item is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_graph_item]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][InputShape] By ShapeRange for [%s] failed.rtMemcpyAsync(context_.global_step, sizeof(uint64_t), &context_.iteration, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE_EX, context_.stream)[%s:%d]%lu %s:Model executed successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteGraphInternal] Failed, ret:%u.tid:%lu [%s] [GetOutput] EndCheckInputShapeByShapeRangeResetExecutionContextInitExecutionContextCleanupExecuteGraphInternalExecuteExecuteProcessOnlineModelExecuteOnlineModelPreRunExecuteForSingleOpDumpOpDebugInitN2ge6hybrid23HybridModelRtV1ExecutorEhybrid_profiler.ccParse Format %s failed. [Dump profiling][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Param:fmt]Format %s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Range]index out of range. index = %d, max event size = %zuindex out of range. index = %d, max event size = %zuRecordEventnode_done_manager.cc[%s:%d]%lu %s:Called before done, released: %d, cancelled: %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RTS]Call rtGetDevMsg failed.[Call][RTS]Call rtGetDevMsg failed.[%s:%d]%lu %s:Start to reset NodeDoneManager.[%s:%d]%lu %s:Cond size = %zu.[%s:%d]%lu %s:[%s] Node canceled.[%s:%d]%lu %s:Done resetting NodeDoneManager successfully.[%s:%d]%lu %s:NodeDoneManager reset all.[%s:%d]%lu %s:Already destroyed.[%s:%d]%lu %s:[%s] Node released.[%s:%d]%lu %s:[%s] Await start. is_released = %s[%s:%d]%lu %s:[%s] Await ended. is_released = %s[%s:%d]%lu %s:[%s] Node reset.ResetResetAwaitNodeDoneDestroyGetSubjectResetAwaitnode_state.ccShapeInferenceExecutionunique_task_context[%s:%d]%lu %s:[%s] Start to wait for data dependent node: %stid:%lu [%s@%ld] [%s] [AwaitNodeDone] [%s] Starttid:%lu [%s] [AwaitNodeDone] [%s] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Await] [%s] Await node failed.tid:%lu [%s@%ld] [%s] [AwaitNodeDone] [%s] Endtid:%lu [%s] [AwaitNodeDone] [%s] End[%s:%d]%lu %s:[%s] Done waiting node.[%s:%d]%lu %s:[%s] merge index %d, input nodes: %zu[%s:%d]%lu %s:[%s] Start to wait for data dependent node: [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Await] [%s] Await node [%s] failed.[%s:%d]%lu %s:[%s] Done waiting node: [%s][%s:%d]%lu %s:[%s] Not found saved tensor: %d[%s:%d]%lu %s:[%s] Not found input tensor: %d[%s:%d]%lu %s:[%s] Update input tensor: %d[%s:%d]%lu %s:[%s] iteration[%lu] data[input: %zu, scheduled: %u], ctrl[input: %zu+%zu, scheduled: %u][%s:%d]%lu %s:Node[%s] current iteration: %lu, frame active: %lu, frame iteration: %lu[%s:%d]%lu %s:[%s] in while loop, current iteration: %lu, data scheduled: %u, ctrl scheduled: %u, merge index: %dParam:self_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:self_tensor_desc]null is invalid[%s:%d]%lu %s:[%s] Wait for last schedule future.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Status][%s] wait thread failed.[%s:%d]%lu %s:[%s] Start to wait for prepare future.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Status][%s] PreRun failed.[%s:%d]%lu %s:[%s] Start to wait for schedule future.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Status][%s] wait thread failed[%s:%d]%lu %s:[%s]{active: %lu, iteration: %lu}, frame{active: %lu, iteration: %lu} [%s]{active: %lu, iteration: %lu}[%s:%d]%lu %s:[%s]{active: %lu, iteration: %lu} frame{active: %lu, iteration: %lu} [%s]{active: %lu, iteration: %lu} parent{active: %lu, iteration: %lu}[%s:%d]%lu %s:[%s] schedule [%s], iteration[%lu -> %lu], data[num: %zu, scheduled: %u], ctrl[num: %zu+%zu, scheduled: %u][%s:%d]%lu %s:[%s] scheduled, [%s] set merge index: %d[%s:%d]%lu %s:[%s] scheduled, [%s] not followedParam:dst_node_state is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_node_state]null is invalid[%s:%d]%lu %s:After [%s] scheduled, switch index: %dParam:unique_task_context is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:unique_task_context]null is invalidParam:subgraph_context_->GetExecutionContext() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:subgraph_context_->GetExecutionContext()]null is invalidParam:tmp_op is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tmp_op]null is invalid[%s:%d]%lu %s:[%s] Save Root input tensor: %d[%s:%d]%lu %s:[%s] Save Enter input tensor: %dWaitForScheduleDoneSetScheduleFutureRunStreamActiveSetCtrlScheduleSetDataScheduleIsScheduleReadyNodeScheduledScheduleContextResetContextUpdatePersistTensorSavePersistTensorUpdateOutputShapesWaitForPrepareDoneAwaitInputTensorsAwaitDependShapesInitSt15_Sp_counted_ptrIPN2ge6hybrid11TaskContextELN9__gnu_cxx12_Lock_policyE2EErt_callback_manager.ccrtCtxGetCurrent(&ctx)rtCtxSetCurrent(context)[%s:%d]%lu %s:start to pop[%s:%d]%lu %s:end to poprtEventCreate(&event)[%s:%d]%lu %s:To invoke callback function[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][ShareState]Failed to init callback manager.Failed to init callback manager.[%s:%d]%lu %s:CallbackManager stopped[%s:%d]%lu %s:receive eos entry[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtEventSynchronize] failed. ret = %dInvoke rtEventSynchronize failed, ret = %d.[%s:%d]%lu %s:To register callback[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtEventRecord] failed, error code = %dInvoke rtEventRecord failed, error code = %d[%s:%d]%lu %s:Registering callback successfullyParam:func is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:func]null is invalid[%s:%d]%lu %s:Callback registered[%s:%d]%lu %s:To destroy callback manager.[%s:%d]%lu %s:RtCallbackManager not initialized.[%s:%d]%lu %s:Callback manager ended. ret = %uRegisterCallbackFuncRtCallbackFuncDestroyCallbackProcessInitRegisterCallback*NSt13__future_base17_Async_state_implINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid17RtCallbackManager4InitEvEUlPvRKN13error_message7ContextEE_S7_S9_EEEEjEE*NSt13__future_base15_Deferred_stateINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid17RtCallbackManager4InitEvEUlPvRKN13error_message7ContextEE_S7_S9_EEEEjEE*St23_Sp_counted_ptr_inplaceINSt13__future_base17_Async_state_implINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid17RtCallbackManager4InitEvEUlPvRKN13error_message7ContextEE_S8_SA_EEEEjEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base15_Deferred_stateINSt6thread8_InvokerISt5tupleIJZN2ge6hybrid17RtCallbackManager4InitEvEUlPvRKN13error_message7ContextEE_S8_SA_EEEEjEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEENSt6thread8_InvokerISt5tupleIJZN2ge6hybrid17RtCallbackManager4InitEvEUlPvRKN13error_message7ContextEE_SD_SF_EEEEjEE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZNSt13__future_base17_Async_state_implINS1_IS2_IJZN2ge6hybrid17RtCallbackManager4InitEvEUlPvRKN13error_message7ContextEE_S8_SA_EEEEjEC4EOSF_EUlvE_EEEEEEN2ge6hybrid15CallbackManagerEN2ge6hybrid17RtCallbackManagerEhost_cpu_callback_manager.cc[%s:%d]%lu %s:callback start[%s:%d]%lu %s:callback endedRegisterCallbackFuncN2ge6hybrid22HostCpuCallbackManagerEsubgraph_context.ccall_inputs_.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index]input index out of range. all input num = %zu, input index = %dinput param index out of range, all input num = %zu, input index = %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_index]output index out of range. all output num = %zu,node_item = %s, output index = %d.output index out of range. all output num = %zu, node_item = %s, output index = %d.static_cast(index) + 1UL[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:error][%s] Error:%d occurred while executing graph.[%s] Error:%d occurred while executing graph.[%s:%d]%lu %s:[%s] graph is dynamic, get outputs from net output input tensors[%s:%d]%lu %s:[%s] Adding output tensor by input index [%d], tensor = %s[%s:%d]%lu %s:[%s] graph is non-dynamic, get outputs from subgraph outputs[%s:%d]%lu %s:[%s] Adding output tensor: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][NodeState] failed for node:[%s(%s)].Create NodeState failed for node:%s(%s).Param:graph_item_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_item_]null is invalid[%s:%d]%lu %s:[%s] Start to init subgraph context. total inputs = %d, total outputs = %dOnErrorGetOutputsGetInputSetOutputSetInputInitNodeStatesInitSt15_Sp_counted_ptrIPN2ge6hybrid9NodeStateELN9__gnu_cxx12_Lock_policyE2EEsubgraph_executor.ccCallbackNode: id = , name = [], type = , num_iteration = , num_inputs = , num_data_inputs = , num_scheduled_data = , num_ctrl_inputs = , missed_data_inputs = , num_scheduled_ctrl = , num_enter_data_inputs = , missed_ctrl_inputs = , num_enter_ctrl_inputs = , num_root_data_inputs = , num_root_ctrl_inputs = parent_output_indexinvoke pop failed for %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:pre_run_pool_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][SubgraphContext][%s] Failed to init subgraph context.Param:pre_run_pool_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] Number of inputs [%zu] is not sufficient for subgraphwhich needs at lease [%d] inputs[%s] Number of inputs [%zu] is not sufficient for subgraphwhich needs at lease [%d] inputs[%s:%d]%lu %s:[%s] Set input tensor[%zu] with inputs with index = %d, tensor = %stid:%lu [%s@%ld] [%s] [NodeScheduled] Starttid:%lu [%s] [NodeScheduled] Starttid:%lu [%s@%ld] [%s] [NodeScheduled] Endtid:%lu [%s] [NodeScheduled] End[Call][Pop]Await timeout, detail: %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Pop]Await timeout, detail: %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetOutputs] failed for [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetOutputDescList][%s] Failed to get output tensor desc.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Number of outputs(%zu) mismatch number of output_desc(%zu).Number of outputs(%zu) mismatch number of output_desc(%zu).[%s:%d]%lu %s:[%s] Synchronize start.[%s:%d]%lu %s:[%s] Done synchronizing successfully.[%s:%d]%lu %s:To enable zero copy, output number = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Output number mismatches, expect = %zu, but given = %zuOutput number mismatches, expect = %zu, but given = %zu[%s:%d]%lu %s:[%s] Set output tensor[%zu] to [%s]'s output[%d], tensor = %sParam:node_state is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_state]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetOutput][%s] Failed to set input tensor[%zu][%s:%d]%lu %s:Done enabling zero copy for outputs successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][InitInputsForUnknownShape][%s] Failed to set inputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitInputsForKnownShape][%s] Failed to init executor for known shape subgraph.[%s:%d]%lu %s:The task context is null for node %s[%s:%d]%lu %s:Node %s has OnNodeDoneCallBack funcParam:task_context is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task_context]null is invalidrtCtxSetCurrent(ctx->rt_context)[%s:%d]%lu %s:[%s] Skipping tiling and selectbin for op with empty outputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetOutputs][%s] Failed to get output tensors.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] num of output tensors = %zu, num of output tensor desc = %zu not equal%s num of output tensors = %zu, num of output tensor desc = %zu not equal[%s:%d]%lu %s:[%s] Updating output[%zu] to parent output[%d][%s:%d]%lu %s:[%s] Updating output tensor, index = %d, tensor = %sParam:parent_output_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_output_desc]null is invalid[%s:%d]%lu %s:[%s] Updating output shape[%d] from [%s] to [%s][%s:%d]%lu %s:[%s] Updating output original shape[%d] from [%s] to [%s][%s:%d]%lu %s:[%s] subgraph is not dynamic.[%s] Invalid known shape subgraph. node size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] Invalid known shape subgraph. node size = %zuParam:node_item is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ExecuteAsync] [%s] Failed to execute node [%s(%s)] for known subgraph.[%s:%d]%lu %s:[%s] Done execute non-dynamic subgraph successfully.[%s:%d]%lu %s:[%s] SubgraphExecutor destroyed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Pop] failed for [%s].[%s:%d]%lu %s:[%s] Got EOF from queue.[%s:%d]%lu %s:[%s] Done executing node successfully.[%s:%d]%lu %s:[%s] Start to execute.Param:shared_task_context is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shared_task_context]null is invalidParam:tensor_guard is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_guard]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync] failed for [%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][State][%s] Error occurs while launching tasks. quit from preparing nodes.[%s] Error occurs while launching tasks. quit from preparing nodes.[%s:%d]%lu %s:[%s] Push node [%s] to queue.[%s:%d]%lu %s:[%s] Start to prepare nodes. group = %d, size = %zutid:%lu [%s@%ld] [%s] [PrepareNode] Starttid:%lu [%s] [PrepareNode] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Prepare][Node] [%s(%s)] failed to prepare task.tid:%lu [%s@%ld] [%s] [PrepareNode] Endtid:%lu [%s] [PrepareNode] End[%s:%d]%lu %s:[%s] Done preparing nodes successfully.[%s:%d]%lu %s:[%s] Done preparing root nodes.[%s:%d]%lu %s:[%s] Got end of sequence.[%s:%d]%lu %s:[Pop][Node] failed, graph:[%s] Context status: %u.[%s:%d]%lu %s:After [%s] scheduled, [%s] is ready for prepare.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][State][%s] error occurs when push to queue.[%s] error occurs when push to queue.[%s:%d]%lu %s:Graph[%s] After [%s] scheduled, data size: %zu, ctrl size: %zu, switch index: %d, merge index: %d[%s:%d]%lu %s:[%s] Got end of sequence[%s:%d]%lu %s:[%s] Start to prepare node [%s].[%s:%d]%lu %s:[%s] Force infer shape is set, updating node to dynamic.Param:p_node_state is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:p_node_state]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][KernelTask] failed for[%s(%s)], NodeTask is null.GetKernelTask failed for %s(%s), nodetask is null.[%s:%d]%lu %s:[%s] Skipping shape inference and compilation for node with static shape.[%s:%d]%lu %s:[%s] Start to schedule prepare workers.[%s:%d]%lu %s:[%s] Start to execute subgraph.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][get] [%s] Error occurred in task preparation.[%s:%d]%lu %s:[%s] Done launching all tasks successfully.[%s:%d]%lu %s:[%s] is dynamic = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Init]failed for [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][EnableOutputZeroCopy] Failed by user provided outputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ScheduleTasks] [%s] Failed to execute tasks.[%s:%d]%lu %s:[%s] Done executing subgraph successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync] failed for [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetOutputsToParentNode][%s] Failed to set output shapes to parent node.InitInputsEnableOutputZeroCopySetOutputsToParentNodeSynchronizeGetOutputscommitScheduleTasksLaunchTasksPrepareForExecutionInitCallbackHasOnNodeDoneCallbackoperator()commitNodeScheduledPrepareNodesReportTimeoutInfocommitPrepareNodeNodeEnqueueExecuteAsyncExecuteAsyncForKnownShapeExecuteAsyncInitInputsForKnownShapeInit~SubgraphExecutor*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13ScheduleTasksEiEUlRKN13error_message7ContextEE_SD_EESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13ScheduleTasksEiEUlRKN13error_message7ContextEE_SD_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13NodeScheduledEPNSA_9NodeStateEEUlRKN13error_message7ContextEE_SF_EESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13NodeScheduledEPNSA_9NodeStateEEUlRKN13error_message7ContextEE_SF_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor11PrepareNodeERKNSA_8NodeItemEEUlRKN13error_message7ContextEE_SG_EESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor11PrepareNodeERKNSA_8NodeItemEEUlRKN13error_message7ContextEE_SG_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*ZZN2ge6hybrid16SubgraphExecutor13NodeScheduledEPNS0_9NodeStateEENKUlRKN13error_message7ContextEE_clES7_EUlPKNS0_8NodeItemEE_*ZN2ge6hybrid16SubgraphExecutor11LaunchTasksEvEUlvE_*ZN2ge6hybrid16SubgraphExecutor12InitCallbackEPNS0_9NodeStateERSt8functionIFvvEESt10shared_ptrINS_10ScopeGuardEEEUlvE_*ZN2ge6hybrid16SubgraphExecutor12InitCallbackEPNS0_9NodeStateERSt8functionIFvvEESt10shared_ptrINS_10ScopeGuardEEEUlvE0_*NSt13__future_base11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor11PrepareNodeERKNS3_8NodeItemEEUlRKN13error_message7ContextEE_S9_EESaIiEFjvEEE*NSt13__future_base11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13NodeScheduledEPNS3_9NodeStateEEUlRKN13error_message7ContextEE_S8_EESaIiEFjvEEE*NSt13__future_base11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13ScheduleTasksEiEUlRKN13error_message7ContextEE_S6_EESaIiEFjvEEE*ZN2ge10ThreadPool6commitIRKZNS_6hybrid16SubgraphExecutor11PrepareNodeERKNS2_8NodeItemEEUlRKN13error_message7ContextEE_JRS8_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*ZN2ge10ThreadPool6commitIRKZNS_6hybrid16SubgraphExecutor13NodeScheduledEPNS2_9NodeStateEEUlRKN13error_message7ContextEE_JRS7_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*ZN2ge10ThreadPool6commitIRKZNS_6hybrid16SubgraphExecutor13ScheduleTasksEiEUlRKN13error_message7ContextEE_JRS5_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor11PrepareNodeERKNS4_8NodeItemEEUlRKN13error_message7ContextEE_SA_EESaIiEFjvEEESG_LN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13NodeScheduledEPNS4_9NodeStateEEUlRKN13error_message7ContextEE_S9_EESaIiEFjvEEESF_LN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge6hybrid16SubgraphExecutor13ScheduleTasksEiEUlRKN13error_message7ContextEE_S7_EESaIiEFjvEEESD_LN9__gnu_cxx12_Lock_policyE2EEN2ge6hybrid15SubgraphContextEN2ge6hybrid20ShapeInferenceEngineEN2ge6hybrid16SubgraphExecutorEhybrid_data_flow.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe capacity has reached the maximum, max_size:%ld.EmplaceBackN2ge6hybrid16DataFlowResourceEresource_manager.ccFailed to get handle for [%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] Failed for [%s(%s)].Create data flow kernel failed for [%s(%s)], handle:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][Kernel] failed for [%s(%s)], handle:%ld.Create res failed for [%s(%s)], handle:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][Res] failed for [%s(%s)], handle:%ld.[%s:%d]%lu %s:Init data flow source max size[%ld], handle[%ld][%s:%d]%lu %s:Init data flow for [%s(%s)], handle:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init data flow resource, graph:%s.InitDataFlowResourceInitSt15_Sp_counted_ptrIPN2ge6hybrid16DataFlowResourceELN9__gnu_cxx12_Lock_policyE2EE_Cexecution_engine.ccget node value is nullptr.id_map_infotid:%lu [%s@%ld] [%s] Starttid:%lu [%s] Starttid:%lu [%s] [Compute] Endtid:%lu [%s] [Callback] Starttid:%lu [%s] [Callback] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Propagate][Outputs] for [%s(%s)] failed.tid:%lu [%s@%ld] [%s] [PropagateOutputs] Endtid:%lu [%s] [PropagateOutputs] End[%s:%d]%lu %s:[%s(%s)] Done propagating outputs successfully.Param:output_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_tensor]null is invalid[%s:%d]%lu %s:[%s] Print task args. output[%d] = %s, shape = [%s][%s:%d]%lu %s:[%s] Skipping input which no need to check, index:%d.Param:input_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_tensor]null is invalid[%s:%d]%lu %s:[%s] Skipping null input, index = %d[%s:%d]%lu %s:[%s] Skipping DT_STRING input, index = %d[%s:%d]%lu %s:[%s] Input[%d] expects [%ld] bytes.[%s:%d]%lu %s:[%s] Input[%d]: tensor size mismatches. expected: %ld, but given %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] for [%s(%s)] Input[%d]: tensor size mismatches. expected: %ld, but given %zu.[%s(%s)] Input[%d]: tensor size mismatches. expected: %ld, but given %zu.tid:%lu [%s@%ld] [%s] [PrepareConstInputs] [index = %d] Starttid:%lu [%s] [PrepareConstInputs] [index = %d] StartParam:ge_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_tensor_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorSize] In Bytes failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] [%s(%s)] Tensor size is not enough. output index = %d, required size = %ld, tensor = %s.[%s(%s)] Tensor size is not enough. output index = %d, required size = %ld, tensor = %s.[%s:%d]%lu %s:[%s] To cache output[%d] to host, size = %zurtMemcpy(host_buffer.data(), static_cast(tensor_size), output_tensor->GetData(), static_cast(tensor_size), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Tensor] Failed, node = %s(%s), output_index = %d[%s:%d]%lu %s:[%s] Output[%d] cached successfully. node_id = %ld, shape = [%s]tid:%lu [%s@%ld] [%s] [PrepareConstInputs] [index = %d] Endtid:%lu [%s] [PrepareConstInputs] [index = %d] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Node] value is nullptr.Param:graph_context_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_context_]null is invalidParam:model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model]null is invalid[%s:%d]%lu %s:[%s] is not in dump list, no need dump[Get][Tensor] value is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Tensor] value is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][DumpOp] failed in hybird model.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtStreamSynchronize] failed, ret = %d.call rtStreamSynchronize failed, ret = %d.Param:graph_context_->model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_context_->model]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Save][DumpOpInfo] Get node is nullptr.[Save][DumpOpInfo] Tensor value is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Save][DumpOpInfo] Tensor value is nullptr.[%s:%d]%lu %s:Node[%s] is not aicore or aicpu, and no need to report data.[%s:%d]%lu %s:GetTaskDescInfo of node [%s] start.TaskContext GetNodeItem value is nullptr.Param:graph_context is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_context]null is invalid[%s:%d]%lu %s:ProfilingReport of node [%s] model [%s] start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TaskDescInfo] of node:%s(%s) failed.GetTaskDescInfo of node:%s(%s) failed.[%s:%d]%lu %s:The model is online:%d, model id is %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][LogicDeviceId]Failed, ret 0x%XGet logic device id failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][KernelTask] of [%s(%s)] is null.GetKernelTask of %s(%s) failed.tid:%lu [%s@%ld] [%s] [AwaitDependents] Starttid:%lu [%s] [AwaitDependents] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][AwaitInputTensors] [%s(%s)] Failed to wait for dependent nodes.Param:executor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:executor]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Prepare][Task] for [%s(%s)] failed.[%s:%d]%lu %s:[%s] Done task preparation successfully.[%s:%d]%lu %s:[%s] Print task args. input[%d] = %s, shape = [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Validate][InputTensors] for %s(%s) failed.tid:%lu [%s@%ld] [%s] [ValidateInputTensors] Endtid:%lu [%s] [ValidateInputTensors] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ExecuteTask] [%s(%s)] Failed to execute task[%s:%d]%lu %s:[%s] Done task launch successfully.[%s:%d]%lu %s:[%s] Node is ready for execution[%s:%d]%lu %s:[%s] Start callback process.tid:%lu [%s@%ld] [%s] [Compute] Endtid:%lu [%s@%ld] [%s] [Callback] Start[%s:%d]%lu %s:Start to dump dynamic shape op[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][DumpDynamicNode] Failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Save][DumpOpInfo] Failed to dump op info.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Report][Profiling] of node[%s(%s)] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Propagate][Outputs] of [%s(%s)] failed.[%s:%d]%lu %s:[%s] Notify observer. node_id = %ldtid:%lu [%s@%ld] [%s] [Callback] EndPropagateOutputsValidateInputTensorsLogInputsDoExecuteAsyncExecuteAsyncLogOutputsOnNodeDoneSaveDumpOpInfoDumpDynamicNodeReportModelIdMapDataReportTaskDetailInfoGetTaskDescInfoPrepareConstInputsSt15_Sp_counted_ptrIPN2ge8GeTensorELN9__gnu_cxx12_Lock_policyE2EEtid:%lu [%s@%ld] [%s] [PropagateOutputShapes] Starttid:%lu [%s] [PropagateOutputShapes] Starttid:%lu [%s@%ld] [%s] [PropagateOutputShapes] Endtid:%lu [%s] [PropagateOutputShapes] End[%s:%d]%lu %s:[%s] Propagating output shapes finished successfully.Param:dst_node_item is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_node_item]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetInput] failed for node[%s] propagate input value to node[%s].Param:dst_node_item->op_desc->MutableInputDesc(static_cast(dst_input_idx)) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_node_item->op_desc->MutableInputDesc(static_cast(dst_input_idx))]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetInput] failed for node[%s] to set input tensor[%s:%d]%lu %s:Start to update node [%s] for subgraph data node.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s] Number of inputs [%zu] is not sufficient for subgraph which needs [%zu] inputs.[%s] Number of inputs [%zu] is not sufficient for subgraph which needs [%zu] inputs.[%s:%d]%lu %s:[%s] Input[%zu] is not needed by subgraph, skip it.[%s:%d]%lu %s:[%s] Set input tensor[%zu] to inputs with index = %d, tensor = %s[%s:%d]%lu %s:[%s] Start to update input[%zu] for subgraph data node.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ShapeAndValue] Failed to update shape and value for data node.[%s:%d]%lu %s:[%s] Start to propagate input[%zu] value from data node.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Propagate][Outputs] Failed to propagate outputs for data node.[%s:%d]%lu %s:[%s] Done setting inputs.Param:dst_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_tensor_desc]null is invalidFailed to get tensor, node_id = %ld, output_idx = %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Tensor]Failed to get tensor, node_id = %ld, output_idx = %d.Param:peer_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:peer_op_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][MutableInputDesc] for %s(%s) return nullptr.%s(%s) call MutableInputDesc return nullptr.[%s:%d]%lu %s:Peer input op desc name is %s, need to flush: shape size is %zu, datatype is %d, original datatype is %d[%s:%d]%lu %s:Peer input op desc name is %s, shape size is %zu, datatype is %d, original datatype is %d[%s:%d]%lu %s:[%s] Start to infer shape by fused subgraphParam:parent_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_tensor_desc]null is invalid[%s:%d]%lu %s:Start to update shape by input[%d][%s:%d]%lu %s:Update shape to [%s][%s:%d]%lu %s:Update original shape to [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][DependingTensor] Failed for set depending tensor.[%s:%d]%lu %s:[%s] Start to invoke InferShapeAndType[%s:%d]%lu %s:[%s] Done invoking InferShapeAndType[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][PeerNodeShape] failed for [%s].[%s:%d]%lu %s:Update parent output[%d]Param:input_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_desc]null is invalidParam:parent_output_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_output_tensor_desc]null is invalid[%s:%d]%lu %s:[%s] Done shape inference by subgraph successfully.[%s:%d]%lu %s:[%s] Skipping node with unknown shape type DEPEND_COMPUTEParam:op is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op]null is invalidtid:%lu [%s@%ld] [%s] [InferShapeAndType] Starttid:%lu [%s] [InferShapeAndType] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InferShapeAndType] for %s failed.tid:%lu [%s@%ld] [%s] [InferShapeAndType] Endtid:%lu [%s] [InferShapeAndType] Endtid:%lu [%s@%ld] [%s] [CalcOpRunningParam] Starttid:%lu [%s] [CalcOpRunningParam] Starttid:%lu [%s@%ld] [%s] [CalcOpRunningParam] Endtid:%lu [%s] [CalcOpRunningParam] End[%s:%d]%lu %s:[%s] [HybridTrace] After shape inference. Node = %s[%s:%d]%lu %s:[%s] InferShapeAndType finished successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][DoInferShape] failed for [%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][PropagateOutputShapes] failed for [%s(%s)].shape_inference_engine.ccDoInferShapeCompilationSetDependingTensorUpdatePeerNodeShapeInferShapeForSubgraphPropagateOutputShapesDoInferShapeUpdateShapeAndValuePropagateOutputsInitInferShapesInferShapecann_tracing_profiler.cc((execution_data) != nullptr)((rt_streams_) != nullptr)[%s:%d]%lu %s:Execution data is empty, do not init tracing profiler.[%s:%d]%lu %s:Training trace init, execute node num = %zu[%s:%d]%lu %s:Kernel extend info is nullptr.((rtProfilerTraceEx(iteration_num_, static_cast(extend_info_.model_id), tag_id, cur_stream)) == 0)[%s:%d]%lu %s:Profiling Step Info TraceTask execute async success, index_id = %llu, model_id = %u, tag_id = %u, logic_stream_id= %lld((ReportTraceInfo(static_cast(trace_info.start_log_id + 1LL), node)) == ge::SUCCESS)((ReportTraceInfo(kBpEndLogId, node)) == ge::SUCCESS)((ReportTraceInfo(kFpBeginLogId, node)) == ge::SUCCESS)((ReportTraceInfo(static_cast(trace_info.start_log_id), node)) == ge::SUCCESS)[%s:%d]%lu %s:Cann tracing profiler is nullptr.OnExecuteEventReportEndTraceInfoReportStartTraceInfoReportTraceInfoInitN4gert20BaseExecutorProfilerEN4gert19CannTracingProfilerEhybrid_davinci_model.ccParam:impl_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:impl_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Initialize][NodeExecutorManager] failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HybridModel] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HybridModelAsyncExecutor] failed.Param: impl_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param: impl_]null is invalidParam:listener is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:listener]null is invalidReportProfilingDataGetAippTypeGetAippInfoGetOpAttrGetOpDescInfoSetRunAsyncListenerCallbackSetRunAsyncListenerCallbackGetDataInputerSizeGetSessionIdGetInputOutputDescInfoGetDynamicBatchInfoGetGlobalStepAddrGetDeviceIdEnqueueDataModelRunStopModelRunStartExecuteWithStreamAsyncExecuteExecuteInitInitN2ge13ModelListenerEN2ge6hybrid18HybridDavinciModelEgraph_item.cc[%s:%d]%lu %s:[%s] GraphItem destroyed.Unordered node group found. node:%s(%s), group:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][Group] Unordered node group found. node:%s(%s), group:%d[%s:%d]%lu %s:Adding node [%s] to group %dGroupNodes~GraphItemhybrid_model.cc_dynamic_aipp_input_dims%ldoutput_ENABLE_RUNTIME_V2[%s:%d]%lu %s:Failed to get variable tensor. var name = [%s][%s:%d]%lu %s:Got variable tensor. var name = [%s], tensor = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node][%s(%s)] Failed to get GeModel for subgraph node,because node not in known_shape_sub_models_.%s(%s) Failed to get GeModel for subgraph node,because node not in known_shape_sub_models_.[%s:%d]%lu %s:To find subgraph item by name = %s[%s:%d]%lu %s:Subgraph item not found by node = %sInput param subgraph is nullptr, Graph:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]subgraph is nullptr. graph:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node]node is null.param node is null, check invalid.[%s:%d]%lu %s:constant not found, node name = [%s][%s:%d]%lu %s:Got constant tensor, node name = [%s], tensor = %sParam:globalworkspace_overflow_addr_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:globalworkspace_overflow_addr_]null is invalid[%s:%d]%lu %s:Model weight not found, subgraph name = %s[%s:%d]%lu %s:NOT support host memory input optimization because there is no host memory input node.[%s:%d]%lu %s:kernel_task[%s] args are not extended for host memory input optimization[%s:%d]%lu %s:kernel_task[%s] not support host memory input optimization[%s:%d]%lu %s:CheckHostMemInputOptimization return true.Param:node_item->node_executor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item->node_executor]null is invalid[%s:%d]%lu %s:Did not save op:%s attr[%s:%d]%lu %s:Did not save attr:%s of op:%s[%s:%d]%lu %s:Get attr:%s of op:%s success, attr value:%s[%s:%d][EVENT]%lu %s:current execute mode is dynamic input, model id = %u, model_name = %s.[%s:%d]%lu %s:current execute mode is dynamic input, model id = %u, model_name = %s.[%s:%d][EVENT]%lu %s:current execute mode is dynamic in process, model id = %u, model_name = %s.[%s:%d]%lu %s:current execute mode is dynamic in process, model id = %u, model_name = %s.[%s:%d]%lu %s:Failed to get variable node by name = [%s]param output_desc is nullptr, check invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_desc]output desc ptr is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetOutputDescList]get output desc info failed, Graph:%sParam:root_graph_item_->GetOutputNode() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_graph_item_->GetOutputNode()]null is invalidoutput size[%u] not match output_desc_list size[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]output size[%u] not match output_desc_list size[%zu]Param:node_item->node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item->node]null is invalidParam:op_desc->GetInputDescPtr(0U) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc->GetInputDescPtr(0U)]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calculate][TensorMemSize] failed input0 desc in node:%s(%s).shape:%s, format:%s, datatype:%s.CalcTensorMemSize failed for input0 desc in node:%s(%s),shape:%s, format:%s, datatype:%sParam:node_item_list[0U]->node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item_list[0U]->node]null is invalidParam:node_item_list[0U]->node->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item_list[0U]->node->GetOpDesc()]null is invalidInput size of op is not 1, op:%s, type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]input size of op is not 1! op:%s, type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputDescInfo] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputDescInfo] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][AippInfoAndType]index:%u, node:%s.[%s:%d]%lu %s:Get op:%s attr:%s success.((ModelHelper::InitRuntimePlatform()) == ge::SUCCESS)[%s:%d]%lu %s:Succeed init hybrid model %u that will be executed by runtime v2[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to handle device info[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][HybridModel] for SingleOp failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][HybridModel] failed.[%s:%d]%lu %s:HybridModel initialized successfully.[%s:%d]%lu %s:Start to init hybrid model %u, gert enabled: %d, single op: %d[%s:%d]%lu %s:[%s] HybridModel destroyed.ReportProfilingDataCheckHostMemInputOptimizationPrintDynamicTypeInitAippInfoAndTypeGetOpAttrSaveSpecifyAttrValuesGetModelWeightSetOverflowAddrGetTensorGetConstantGetOutputDescInfoCreateOutputGetInputDescInfoGetInputOutputDescInfoGetSubgraphItemGetSubgraphItemGetGeModelGetVariableNodeGetVariableInit~HybridModel~TsMemMallhybrid_model_builder.ccRUNTIME_NODE_BIN_MODEstoiFailed to malloc for node[%s][%s(%s)] Failed to load taskvar_sizeglobalworkspace_sizesgt_graphsgt_op_descop_desc->GetOutputsSize()(output_size - 1)output_idxFileConstOp_Var_needCheckCpuneedCheckTfMergedGraphConstant_copy_sizetensor_value->GetSize()OwnerGraphIsUnknownProfilingGraphProfilingFpNodeProfilingBpNodeProfilingEndNodeProfilingAllReduceNodedynamic_aippis_first_nodeis_last_node_partitioned_calltempRoot-Graphhybrid_merged_graph[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s:%s] Not implemented.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid node bin mode %s[%s:%d]%lu %s:The RUNTIME_NODE_BIN_MODE not set, run in default mode: one-node-single-bin[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to analyse the node bin mode, %sParam:ge_root_model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_root_model_]null is invalidParam:ge_root_model_->GetRootGraph() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_root_model_->GetRootGraph()]null is invalid[%s:%d]%lu %s:[IMAS]InitConstant memcpy graph_%u type[V] name[%s] output[%d] memaddr[%p] mem_size[%zu] datasize[%zu]rtMemcpy(output_addr, output_size, tensor.GetData().data(), tensor.GetData().size(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to malloc for node[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get file path.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy data.[%s:%d]%lu %s:File constant [%s] has no weight data.[%s:%d]%lu %s:Assign %s %s logical memory with out[0]((var_manager_->AssignVarMem(var_name, var_desc, output_tensor, memory_type)) == ge::SUCCESS)((var_manager_->GetVarAddr(var_name, output_tensor, var_addr)) == ge::SUCCESS)[%s:%d]%lu %s:[%s] Start to build kernel task[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadTask][%s(%s)] Failed to load task[%s:%d]%lu %s:[%s] Done loading task successfully.[%s:%d]%lu %s:Node [%s] need to do infershape, flag is %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Unlink] failed to unlink %s(%s):%d from %s(%s):%d[%s:%d]%lu %s:Succeeded in unlinking %s:%d from %s:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LinkTo]Failed to link %s(%s):%d to %s(%s):%d[%s:%d]%lu %s:Succeeded in linking %s:%d to %s:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetVarAddr]Failed to get var addr. var_name = %s, session_id = %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetVarMemoryAddr]Failed to copy var %s(%s) from device,cant not get var addr from logic addr %pGetVarMemoryAddr failed, Failed to copy var %s(%s) from device,cant not get var addr from logic addr %p[%s:%d]%lu %s:Failed to calc var data size[%s:%d]%lu %s:Get var memory addr %p for node %s, size = %ld, mem_type=%u[%s:%d]%lu %s:no need to assign when exec on host.[%s:%d]%lu %s:[%s] Constant not allocated during graph building. now allocate it.Param:mem_allocator is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:mem_allocator]null is invalidParam:hybrid_model_.globalworkspace_overflow_addr_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:hybrid_model_.globalworkspace_overflow_addr_]null is invalidParam: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:To get peer node of %s::%sparentnode of node:[%s(%s)] in root graph is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetParentNode] for node [%s:%s] in root graph is nullptr.get attr [%s] on node:[%s(%s)] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] [%s] on node:[%s(%s)] failedParam:wrapped_node_in_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:wrapped_node_in_anchor]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Parent node of node:%s(%s) do not have peer anchor.Param:src_wrapped_node_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_wrapped_node_out_anchor]null is invalidParam:src_wrapped_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_wrapped_node]null is invalid[%s:%d]%lu %s:[%s] Node is connected to root graph's node: %sParam:src_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_graph]null is invalidFailed to find NetOutput in subgraph: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][FindFirstNodeMatchType]Failed to find NetOutput in subgraph: %sParam:net_output_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:net_output_desc]null is invalid[%s:%d]%lu %s:src graph = %s, src parent output index = %ustd::numeric_limits::max()[%s:%d]%lu %s:SubGraph: %s input tensor %u attr %s not found.[%s:%d]%lu %s:NetOutput's input[%u], parent_node_index = %uParam:in_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_anchor]null is invalidParam:peer_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:peer_out_anchor]null is invalid[%s:%d]%lu %s:Found peer node of Data node: %s::%s is %s::%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][PeerNode]Failed to find peer node for %s::%s(%s)Failed to find peer node for %s::%s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][SubModel]Root model has no sub model, model_name[%s]Param:first_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:first_model]null is invalid[%s:%d]%lu %s:InitRuntimeParams(), session_id:%lu, var_size:%lu. graph_id = %uParam:var_manager_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_manager_]null is invalid[%s:%d]%lu %s:Load Kernel for FFTS-Plus node: %s[%s:%d]%lu %s:Load Kernel for FFTS-Plus graph node: %sParam:src_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_out_anchor]null is invalidParam:src_out_anchor->GetOwnerNode() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_out_anchor->GetOwnerNode()]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][MutableInputDesc][%s(%s)] Failed to get input desc[%d][%s(%s)] Failed to get input desc[%d].[%s:%d]%lu %s:SubGraph: %s NetOutput input tensor %d, attr %s not found.Param:parent_out_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_out_anchor]null is invalidParam:dst_in_anchor->GetOwnerNode() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_in_anchor->GetOwnerNode()]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetAllAnchorStatus] failed for node:[%s(%s)].SetAllAnchorStatus failed for node:[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetStatus] failed to set ANCHOR_SUSPEND, node:[%s(%s)].SetStatus failed to set ANCHOR_SUSPEND, node:[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetStatus] failed to set ANCHOR_CONST, node:[%s(%s)].SetStatus failed to set ANCHOR_CONST, node:[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetStatus] failed to set ANCHOR_DATA, node:[%s(%s)].SetStatus failed to set ANCHOR_DATA, node:[%s(%s)].static_cast(std::numeric_limits::max())Param:output_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_anchor]null is invalidParam:peer_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:peer_tensor_desc]null is invalid[%s:%d]%lu %s:Inconsistency detected, src_tensor = %s:%d, dst_tensor = %s:%d[%s:%d]%lu %s:Update peer input shape from [%s] to [%s], origin shape from [%s] to [%s][%s:%d]%lu %s:ge_train: get new index %u, old %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetInt] [%s(%s)] Failed to get attr [%s]call GetInt failed, [%s(%s)] Failed to get attr [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] shape inference type [%u] is unsupported in fftsplus graph.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] shape inference depends node type [%s] is unsupported in fftsplus graph.[%s:%d]%lu %s:Copy compute graph begin.Param:new_root_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:new_root_graph]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Copy][ComputeGraph] failed, root_graph:%s.[%s:%d]%lu %s:Copy compute graph [%s] success.[%s:%d]%lu %s:TransAllVarData start: session_id:%lu, graph_id: %u.[%s:%d]%lu %s:[%s] added for trans var data[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][TransAllVarData] failed.[%s:%d]%lu %s:TransAllVarData success.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][CopyVarData] failed.[%s:%d]%lu %s:CopyVarData success.Param:src_node_item is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_node_item]null is invalid[%s:%d]%lu %s:Output[%d], node = %s, output_index = %d, output_offset = %d[%s:%d]%lu %s:[%s] Parent index not set for input[%d].Param:node->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node->GetOpDesc()]null is invalid[%s:%d]%lu %s:[%s] Failed to get attr [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AddOutputDesc][%s] Failed to add output desc. output index = %d[%s:%d]%lu %s:[%s] no attribute[%s], not in while loop[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s(%s)] expect NextIteration[%s] not found[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s(%s)] -> [%s(%s)] Add edge failedParam: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) %s[Invoke][GetInt] failed, node:[%s(%s)] attr:[%s]GetInt failed, node:[%s(%s)] attr:[%s]Param:out_data_anchor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:out_data_anchor]null is invalidParam:dst_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_node]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] Constant op has no weight[%s:%d]%lu %s:Init tensor with host constant %s size = %zuParam:mem_instance.Malloc(aligned_tensor.GetAlignedPtr(), aligned_tensor.GetData().size()) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:mem_instance.Malloc(aligned_tensor.GetAlignedPtr(), aligned_tensor.GetData().size())]null is invalidParam:var_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_tensor]null is invalid[%s:%d]%lu %s:Init const op tensor. name = %s, size = %ld[%s:%d]%lu %s:[%s] Const op has no weight data.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get file constant size.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set external path.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init file constant in host.[%s:%d]%lu %s:process the file constant op:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init file constant in device.[%s:%d]%lu %s:Init variable tensor. name = %s, size = %ld, addr = %pCalcTensorMemSize failed, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calculate][TensorMemSize] failed, node:%s(%s)[Malloc][HostMem] for variable [%s(%s)] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][HostMem] for variable [%s(%s)] failed.[%s:%d]%lu %s:Host variable [%s] malloc success, size=%ld, addr=%p.Param:parent_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:parent_node]null is invalidParam:ge_model->GetModelTaskDefPtr() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_model->GetModelTaskDefPtr()]null is invalid[%s:%d]%lu %s:Set ge_model for control op subgraph: [%s], task_size = %d[%s:%d]%lu %s:Set ge_model for subgraph: [%s], task_size = %dParam:var_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_node]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][KernelCheckAicpuOp] failed.[%s:%d]%lu %s:[%s] Output[%d] reuse input[%d][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputIndex]failed, node:[%s(%s)] inputname: %s.GetInputIndexByName failed, node:[%s(%s)] inputname: %s.[%s:%d]%lu %s:Skip d2h memcpy, get hostmem from node %s, input_type = %ld.[%s:%d]%lu %s:[%s] Dependent added from output of [%s:%d][%s:%d]%lu %s:[%s] Restore control edge to [%s]Param:in_control_node->GetOutControlAnchor() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_control_node->GetOutControlAnchor()]null is invalid[%s:%d]%lu %s:Graph has no netoutput no need to merge[%s:%d]%lu %s:[%s] process in node.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Unfold]There are too much recursion:%u > max:%u[Unfold]There are too much recursion:%u > max:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][MergeInputNodes][%s] Failed to merge data nodes for subgraph[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][MergeNetOutputNode][%s] Failed to merge net output nodes for subgraph[%s:%d]%lu %s:[%s] Done merging subgraph inputs and outputs successfullyParam:sub_sub_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sub_sub_graph]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][UnfoldSubgraph][%s] Failed to merge subgraph[%s:%d]%lu %s:[%s:%s] added to parent graph: [%s].[%s:%d]%lu %s:[%s] Done merging subgraph. remove it from root graphParam:merged_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:merged_graph]null is invalid[%s:%d]%lu %s:[%s] Node added to merged graph.Param:subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:subgraph]null is invalid[%s:%d]%lu %s:[%s] Known shape partitioned call added to merged graph.[%s:%d]%lu %s:Set ATTR_STAGE_LEVEL on node %s, stage_level=%ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][TopologicalSorting]Failed to invoke TopologicalSorting on merged graph.hybrid_merged_graph_BeforeStageSort[%s:%d]%lu %s:Adding subgraph [%s] to merged-graph.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AddSubgraph]Failed to add subgraph [%s][%s:%d]%lu %s:weight is empty. subgraph_name = %sParam:sub_weight_buffer is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sub_weight_buffer]null is invalidmemcpy_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 %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sCopy weight data failed.rtMemcpy(sub_weight_buffer->GetData(), sub_weight_buffer->GetSize(), weight_data, weight_size, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Init weight mem successfully, weight base %p, weight size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetWeights][%s(%s)] Constant has no value[%s(%s)] Constant has no value.[%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 Constant node [%s], size = %ld, offset = %ldParam:tensor_data is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_data]null is invalidParam:constant_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:constant_tensor]null is invalid[%s:%d]%lu %s:[%s] Constant node [%s] added, size = %ld[%s:%d]%lu %s:Start to index special nodes[%s:%d]%lu %s:node name = %s, node type = %s[%s:%d]%lu %s:Got peer node for data node %s, peer node = %s(%s)Param:tensor_value is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_value]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorSize] In Bytes for [%s(%s)] failedrtMemcpy(buffer.data(), copy_size, tensor_value->GetData(), copy_size, RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:[%s] Copy constant tensor to host successfully, size = %zu_force_infershape_when_running[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Create] failed, model_name[%s][%s:%d]%lu %s:[%s] input [%d] does not have peer anchor[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetOrCreate][NodeItem] failed for [%s(%s)][%s:%d]%lu %s:[%s](%s) Add input data dependent node [%s](%s), shape inference type = %d[%s:%d]%lu %s:[%s] Add input shape dependent node [%s] due to inference type = DEPEND_SHAPE_RANGE[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][NodeType][%s(%s)::%s(%s)] Node in fused subgraph can only depend on Data nodes,but depend on %s actually[%s(%s)::%s(%s)] Node in fused subgraph can only depend on Data nodes,but depend on %s actually.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] failed, node:[%s(%s)] attr:[%s]invoke GetInt failed, node:[%s(%s)] attr:[%s][%s:%d]%lu %s:[%s::%s] Find the external source nodes that the nodes in the fused subgraph depend on, src_node = %s[%s:%d]%lu %s:[%s](%s) Add input control dependent node [%s](%s)[%s:%d]%lu %s:[%s] Dependent added from %s for control op's cond/branch or data flow source[Check][Param] node index:%zu invalid, node size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] node index:%zu invalid, node size:%zu[Check][Param] prev index:%u invalid, node index:%zu, node size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] prev index:%u invalid, node index:%zu, node size:%zu[Check][Param] post num:%u invalid, node index:%zu, node size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] post num:%u invalid, node index:%zu, node size:%zu[%s:%d]%lu %s:Set control from %s to %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetOrCreate][NodeItem] for [%s(%s)] failed[%s:%d]%lu %s:[%s] frame index: %ld, [%s] is Exit, parent frame index: %ld, real parent frame index: %ld.[%s:%d]%lu %s:[%s] frame index: %ld, [%s] parent frame index: %ld[%s:%d]%lu %s:[%s] control flow frame group: %ld, parent frame: %ld[%s:%d]%lu %s:[%s] ignore control to [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Called by %s is invalid[%s:%d]%lu %s:Build control flow for node %s[%s:%d]%lu %s:Node: %s, control by: %zu, control for: %zu, switch group: %zu[%s:%d]%lu %s:[%s] Skip Not StreamMerge node [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetOrCreate][NodeItem] [%s(%s)] failed[%s:%d]%lu %s:[%s] Skip Not NextIteration node [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] [%s] on input node [%s(%s)] failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s(%s)] expect StreamMerge[%s] not found[%s:%d]%lu %s:Skip no in control node: %s[%s:%d]%lu %s:Start to load known shaped subgraph [%s]Param:wrapper_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:wrapper_op_desc]null is invalidParam:temp_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:temp_graph]null is invalidParam:wrapper_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:wrapper_node]null is invalid[%s:%d]%lu %s:NodeItem create for known shape subgraph [%s], NodeItem = %s[%s:%d]%lu %s:Done loading known shape subgraph: [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ParseForceInfershapeNodes]failed, node:[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ParseDependentInputNodes]failed, node:[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutDataAnchor]out anchor[%d] of node %s(%s) is nullptrout anchor[%d] of node %s(%s) is nullptr.[%s:%d]%lu %s:dst node is nullptr. out anchor = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[GetOrCreate][NodeItem] failed, dst_node:[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetCanonicalInputIndex] failed, dst_node:[%s(%s)].Param:hybrid_model_.global_step_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:hybrid_model_.global_step_]null is invalid[%s:%d]%lu %s:[Init] Variable max size attr do not set, var mem auto malloc.[%s:%d]%lu %s:Model var size = 0. but got uninitialized constant. set var size to %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][VarMemory] failed, size:%zu.[%s:%d]%lu %s:src node [%s] is a constant[%s:%d]%lu %s:Output[%u] of subgraph [%s] is a constant[%s:%d]%lu %s:Output[%u] of [%s] is not a constant[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Convert][HostTensor] [%s(%s)] Failed to convert constant to host tensor[%s:%d]%lu %s:[%s] no longer depends on [%s] for shape inference[%s:%d]%lu %s:[%s] Got parallel group = [%s][%s:%d]%lu %s:[%s] To collect parallel group for known-shaped subgraph[%s:%d]%lu %s:[%s] Start to get parallel group from subgraph: %s[%s:%d]%lu %s:[%s:%s] Got parallel group = %s[%s:%d]%lu %s:[%s] has parallel group: %s[%s:%d]%lu %s:[%s] Nearest node = [%s][%s:%d]%lu %s:No need to add dependency for nodes with same executor type[%s:%d]%lu %s:%s->%s Already has dependency, skip it[%s:%d]%lu %s:Add dependency for nodes with the same parallel group[%s], src = [%s], dst = [%s][%s:%d]%lu %s:Start to parse outputs of node: %s[%s:%d]%lu %s:[%s] Subgraph do not got net output[%s:%d]%lu %s:Data node ref to variable: %s[%s:%d]%lu %s:Found var node [%s] by ref_var_name [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][AicpuOpList] failed.[%s:%d]%lu %s:The first FP operator is %sParam:bp_log_def is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:bp_log_def]null is invalidParam:end_log_def is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:end_log_def]null is invalidParam:fp_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:fp_desc]null is invalidParam:node_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_ptr]null is invalid[%s:%d]%lu %s:Create fp profiling node success before.[%s:%d]%lu %s:All reduce node profiling task log id: %ld beforeParam:ar_desc_start is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ar_desc_start]null is invalid[%s:%d]%lu %s:Create all reduce start profiling node success before.[%s:%d]%lu %s:No need to create profiling node before.[%s:%d]%lu %s:All reduce node profiling task log id: %ld afterParam:ar_desc_end is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ar_desc_end]null is invalid[%s:%d]%lu %s:Create all reduce end profiling node success after.Param:bp_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:bp_op_desc]null is invalid[%s:%d]%lu %s:Create bp profiling node success after.Param:end_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:end_desc]null is invalid[%s:%d]%lu %s:Create end profiling node success after.[%s:%d]%lu %s:No need to create profiling node after.[%s:%d]%lu %s:[%s] add to root node list[%s:%d]%lu %s:NodeItem created: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadDynamicSubgraph]Failed to load origin fused_subgraph: [%s] of node: [%s][%s:%d]%lu %s:Load origin fused graph [%s] of node [%s] successfully.[%s:%d]%lu %s:Start to load subgraph [%s][%s:%d]%lu %s:Done loading dynamic subgraph: [%s][%s:%d]%lu %s:Before merging subgraphs DirectNodesSize = %zu, GetAllNodesSize = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][UnfoldSubgraphs]Fail to unfold subgraphs, model_name[%s][%s:%d]%lu %s:After merging subgraphs DirectNodesSize = %zu, GetAllNodesSize = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Relink][NextIteration] failed for model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadDynamicSubgraph]Failed to load root graph, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to recover ir definitions[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][CheckForObserver]Failed to load root graph, model_name[%s][%s:%d]%lu %s:Done loading root graph successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GroupNodes]Failed to group nodes for root graph, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set[StageCache]Failed to for root graph, model_name[%s][%s:%d]%lu %s:[%s] Subgraph is in another known shaped subgraph, skip it.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadDynamicSubgraph]Failed to load subgraph: [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set[StageCache]Failed to for sub graph, model_name_:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadKnownShapedSubgraph]Failed to load function control op subgraph [%s]Param:compute_graph is nullptr, check invalid[Get][Name] of subgraph failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:compute_graph]null is invalid[Get][Name] of subgraph failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][IdentifyVariableOutputs] [%s(%s)] Failed to identify ref outputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ParseDependentByParallelGroup]Failed to establish dependencies for hccl ops, model_name[%s][%s:%d]%lu %s:Done loading all subgraphs successfully.[%s:%d]%lu %s:To index tasks for subgraph: %s[%s:%d]%lu %s:op_index = %ld, node_name = %s[%s:%d]%lu %s:Task id = %d, task type = %d[%s:%d]%lu %s:op_index = %u, task_type = %d[%s:%d]%lu %s:Task loaded for node: %s, task type = %d, op_index = %uParam:in_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_node]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][SetListStr] failed, graph:%s name:%s.SetListStr failed, graph:%s name:%s.[%s:%d]%lu %s:Set output name attr failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ValidateParams] failed, model_name[%s][%s:%d]%lu %s:[%s] Start to build hybrid model.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init]][InitNodeBinMode] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init]][OverflowAddr] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][CopyGraph] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitRuntimeParams] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][RecoverGraphUnknownFlag] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][IndexSpecialNodes] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][IndexTaskDefs] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitWeights] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadGraph] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AssignUninitializedConstantOps] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][TransAllVarData] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][CopyVarData] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitModelMem] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitConstantOps] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitFileConstantOps] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitVariableTensors], model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][LoadTasks] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][OptimizeDependenciesForConstantInputs] failed, model_name[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][InitAippInfoAndType] failed, model_name[%s][%s:%d]%lu %s:[%s] Done building hybrid model successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGraph[%s] hybrid Model not found[%s:%d]%lu %s:[%s] Done building hybrid model for single op successfully.LoadSgtKernelBinToOpDescRecoverShapeConsistencyCreateNotImplementCreateSwitchGroupCreateNextIterationGroupCreateStreamSwitchGroupCreateStreamActiveGroupCreateMergeIterationGroupCreateMergeEnterGroupCreateNormalNodeGroupBuildControlFlowGroupBuildFrameGroupIndexForEnterBuildFrameGroupIndexBuildProfilingControlRelinkNextIterationConvert2HostTensorOptimizeDependenciesForConstantInputsParseDependentByParallelGroupCollectParallelGroupsCheckAicpuOpListBuildInputMappingParseVarOutputsLoadDynamicNodeItemLoadDynamicSubgraphCreateProfilingNodeAfterCreateProfilingNodeBeforeGenerateEndProfilingTaskGenerateBpProfilingTaskGenerateFpProfilingTaskRecoverGraphUnknownFlagLoadKnownNodeItemLoadKnownShapedSubgraphCopyVarDataTransAllVarDataInitModelMemIdentifyVariableOutputsInitRuntimeParamsGetPeerNodeAcrossSubGraphsIndexSpecialNodesSetOutputNameAttrIndexTaskDefsIndexTaskDefsLoadGeModelLoadTasksLoadTaskGeMemcpyInitWeightsInitVariableTensorsGetOrCreateVarMemInitFileConstantOpsInitFileConstantInDeviceInitFileConstantInHostInitConstantOpsAssignUninitializedConstantOpsCopyConstantDataCalcTensorSizeInBytesVarNodeToTensorLoadGraphSetStageCacheBuildOutputMappingUnfoldSubgraphUnfoldSubgraphsMergeNetOutputInDataMergeNetOutputNodeMergeInputInDataMergeInputNodesDoLinkDataAnchorsDoUnlinkDataAnchorsUpdateAnchorStatusCollectDependenciesForFusedGraphParseDependentForFusedSubgraphParseDependentInDataParseDependentInputNodesParseDependenciesParseForceInfershapeNodesGetOrCreateNodeItemResolveRefIoBuildNodeItemValidateFftsPlusSubNodeItemCopyGraphValidateParamsBuildForSingleOpBuildInitOverflowAddrInitNodeBinMode*ZN2ge6hybrid18HybridModelBuilder15UnfoldSubgraphsERKSt10shared_ptrINS_12ComputeGraphEERS4_EUlRKS2_INS_4NodeEESB_E_N2ge6hybrid18HybridModelBuilderEFjRKSt10shared_ptrIN2ge4NodeEERNS0_6hybrid8NodeItemEESt14default_deleteIN2ge6hybrid12TensorBufferEEMN2ge6hybrid18HybridModelBuilderEKFjRKSt10shared_ptrINS_4NodeEERNS0_8NodeItemEESt19_Sp_counted_deleterIPN2ge6hybrid12TensorBufferESt14default_deleteIS2_ESaIvELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge12ComputeGraphELN9__gnu_cxx12_Lock_policyE2EEnode_item.cc[%s:%d]%lu %s:lock for %s[%s:%d]%lu %s:unlock for %stensor_descop_desc->GetInputsSize()FalseTrue, is_dynamic = , is_output_static = , unknown_shape_op_type = , stage = , input_start = , output_start = , num_outputs = , dependent_nodes = [, output[]: ), _netoutput_RetVal_original_fusion_graph[%s:%d]%lu %s:Node name is %s, dynamic state is %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetNodeUnknownShapeStatus][%s(%s)] Failed to get shape status.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index][%s(%s)] Invalid input index, num inputs = %d, index = %dInvalid input index, node:%s(%s) num inputs = %d, index = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index]input index:%u not in input_desc_indices_, check Invalid, node:%s(%s)input index:%u not in input_desc_indices_, check Invalid, node:%s(%s)[%s:%d]%lu %s:[%s] Canonicalize input index from [%u] to [%d][%s:%d]%lu %s:[%s] Dynamic shape is not supported, clear node task.[%s:%d]%lu %s:Node[%s] is Enter feed node.[%s:%d]%lu %s:Node[%s] has in_ctrl_nodes size: %zu.[%s:%d]%lu %s:Node[%s] is controlled by other node except enter.[%s:%d]%lu %s:[%s] Input[%zu] is optional and invalidAttr:%s, memory_type.size:%zu != output_desc.size:%zu, op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s, memory_type.size:%zu != output_desc.size:%zu, op:%s(%s)static_cast(INT32_MAX)[%s:%d]%lu %s:[%s] Got stage level from op_desc = %d[%s:%d]%lu %s:[%s] Got stage level from parent graph = %d[%s:%d]%lu %s:[%s] Got stage level from parent node = %d[%s:%d]%lu %s:[%s] Node do not set stage level[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Resolve][OutputMemType][%s(%s)] failed .[%s:%d]%lu %s:[%s] Peer node of input[%d] is empty[%s:%d]%lu %s:[%s] The shape of input[%d] is static. shape = [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param][%s(%s)] group size: %zu <= merge index: %u[%s:%d]%lu %s:Node[%s] will control node[%s][%s:%d]%lu %s:Merge node[%s] no need data ctrl from [%s : %s].Param:netoutput_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:netoutput_op_desc]null is invalid[%s:%d]%lu %s:Fused graph %s has no ret val node.Param:ret_val_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ret_val_op_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr][%s(%s)] Failed to get attr [%s][%s(%s)] Failed to get attr [%s]Param:netoutput_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:netoutput_node]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sRetVal %s has more than one input.[%s:%d]%lu %s:Replace ret val node by netoutput.[%s:%d]%lu %s:[%s] Start to parse fused subgraph.Param:fused_subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:fused_subgraph]null is invalidParam:fused_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:fused_graph]null is invalidParam:dst_op_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_op_desc]null is invalid[%s:%d]%lu %s:Input[%u] mapped to [%s:%u][%s(%s)] Failed to get attr [%s].[%s:%d]%lu %s:[%s] Done parsing fused subgraph successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ParseFusedSubgraph][%s(%s)] Failed to parse fused subgraphParam:copy_mu_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:copy_mu_]null is invalidParam:node_ptr->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_ptr->GetOpDesc()]null is invalidParam:instance is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:instance]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Init]Failed to init NodeItem [%s(%s)].~OptionalMutexGuardOptionalMutexGuardSetMergeCtrlSetCtrlSendIsEnterFeedNodeSetDataSendGetCanonicalInputIndexUpdateInputDescGetInputDescDoGetInputDescSetToDynamicIsNoOpParseOutputMappingParseInputMappingReplaceRetValByNetOutputParseFusedSubgraphInitResolveStaticInputsAndOutputsResolveDynamicStateResolveOutputMemTypeInitInputsAndOutputsResolveOptionalInputsCreateDNN_VM_GE_LOCAL_OP_STOREDNN_VM_GE_LOCALSt15_Sp_counted_ptrIPSt5mutexLN9__gnu_cxx12_Lock_policyE2EEgraph_stage_cache.cc[%s:%d]%lu %s:Create stage propagator for [%s] stage id[%d] CreatePropagatornode_shape_infer.ccdim[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index]Input index(%d) out of range: [0, %zu)Input index(%d) out of range: [0, %zu).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Is][UnknownShape] Output shape is still unknown after shape inference. shape = [%s].Output shape is still unknown after shape inference. shape = [%s].[%s:%d]%lu %s:Calc output size by range[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get shape range[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Number of shape ranges (%zu) mismatches that of dims (%zu).Number of shape ranges (%zu) mismatches that of dims (%zu)[%s:%d]%lu %s:After canonicalization, shape = [%s], before = [%s]CanonicalizeShape failed, node:%s(%s), output:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Canonicalize][Shape] failed for [%s(%s)], output %zu.[%s:%d]%lu %s:To calc tensor size by shape = [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][DataTypeLength] failed for type:%s.GetDataTypeLength failed for type:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Overflow] Shape size overflow, shape = [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Overflow]Tensor size is too large:%ld, shape = [%s]Shape size will overflow when add align.Invoke CalcTensorSize failed, node:%s(%s), output:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][TensorSize] failed for [%s(%s)], output %zu.[%s:%d]%lu %s:[%s] Tensor size of output %zu = %ldIsInputShapeStaticCalcTensorSizeCanonicalizeShapeCalcOutputTensorSizesshape_utils.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalcTensorMemSize failed for data type: [%d], format [%d], shape [%s]CalcTensorMemSize failed for data type: [%d], format [%d], shape [%s][%s:%d]%lu %s:Update input Shape: [%s] and OriginalShape: [%s], size = %ldCopyShapeAndTensorSizeN2ge6hybrid14ChangeObserverEN2ge6hybrid21DefaultChangeObserverEaicore_node_executor.ccEZ9999[%s:%d]%lu %s:[%s] AiCoreNodeTask UpdateArgs Start.[%s:%d]%lu %s:[%s] AiCoreNodeTask UpdateArgs End.[%s:%d]%lu %s:Node[%s] need update outputs shape.[%s:%d]%lu %s:[%s] Task does not support dynamic shape.[%s:%d]%lu %s:[%s] PrepareWithShape started.[Update][Tilingdata] Node[%s](%s) tiling failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Tilingdata] Node[%s](%s) tiling failed![%s:%d]%lu %s:[%s] Done PrepareWithShape successfully.[%s:%d]%lu %s:Op %s is doing overflow check in hybrid engine[%s:%d]%lu %s:Dynamic shape op %s is over flow[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][RtStreamSynchronize] failed, ret:%d.rtStreamSynchronize failed, ret:%d.[%s:%d]%lu %s:Opdebug is not open in hybrid enginetid:%lu [%s@%ld] [%s] [AiCoreNodeTaskExecuteAsync] Starttid:%lu [%s] [AiCoreNodeTaskExecuteAsync] Start[%s:%d]%lu %s:[%s] Skipping execution for op with empty outputstid:%lu [%s@%ld] [%s] [AiCoreNodeTaskExecuteAsync] Endtid:%lu [%s] [AiCoreNodeTaskExecuteAsync] End[%s:%d]%lu %s:Node[%s] can't Partially supported task executing tiling, switch to aicpu execution.[%s:%d]%lu %s:The task of Aicore Node[%s] will switch to origin fused graph execution.[%s:%d]%lu %s:[%s] ExecuteAsync Start.tid:%lu [%s@%ld] [%s] [AiCoreNodeLaunchKernel] Starttid:%lu [%s] [AiCoreNodeLaunchKernel] StartParam:context.GetExecutionContext()->model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context.GetExecutionContext()->model]null is invalid[%s:%d]%lu %s:[DEBUG_TASK_INFO : Executor Task] %s/%s %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Save][Profiling] failed for node[%s]!tid:%lu [%s@%ld] [%s] [AiCoreNodeLaunchKernel] Endtid:%lu [%s] [AiCoreNodeLaunchKernel] Endtid:%lu [%s@%ld] [%s] [AiCoreNodeRegisterCallback] Starttid:%lu [%s] [AiCoreNodeRegisterCallback] Starttid:%lu [%s@%ld] [%s] [AiCoreNodeRegisterCallback] Endtid:%lu [%s] [AiCoreNodeRegisterCallback] End[%s:%d]%lu %s:[%s] ExecuteAsync End.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][BuildTask][%s(%s)] Failed to build op tasks.[%s:%d]%lu %s:Node %s is load without kernel, now load task on select bin.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to load task when select bin of node %s.[%s:%d]%lu %s:[%s] Task update bin handle failed.[%s:%d]%lu %s:Node %s op_tasks is updated successfully by cci:%lu.[%s:%d]%lu %s:There is no bin_selector on aicore_node_task.[%s:%d]%lu %s:Can not find any support cache_item. Try turn to other executor.[%s:%d]%lu %s:Node %s will switch to aicpu execution.[%s:%d]%lu %s:Node %s will switch to origin fused graph execution.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s can not find cacheitem and any supported executor.[%s:%d]%lu %s:Found cacheitem, id is: %lu, last_bin_id is: %lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to update op task on node %s.[%s:%d]%lu %s:AiCoreNodeExecutor(%s) LoadTask Start.Param:node_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_task]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Task_defs]Task_defs is empty for node (%s(%s)), check invalidTask_defs is empty for node (%s(%s)), check invalid[%s:%d]%lu %s:AiCoreNodeExecutor(%s) LoadTask without kernel End.[%s:%d]%lu %s:AiCoreNodeExecutor(%s) LoadTask with kernel End.CheckOverflowIsSupportDynamicShapeUpdateTilingDataUpdateOpTasksSelectBinUpdateArgsoperator()ExecuteAsyncBuildAicoreNodeTaskLoadTask*ZN2ge6hybrid14AiCoreNodeTask12ExecuteAsyncERNS0_11TaskContextERKSt8functionIFvvEEEUlvE_St14default_deleteIN2ge6hybrid14AiCoreNodeTaskEEN2ge6hybrid8NodeTaskEN2ge6hybrid14AiCoreNodeTaskEN2ge6hybrid18AiCoreNodeExecutorESt19_Sp_counted_deleterIPN2ge6hybrid14AiCoreNodeTaskESt14default_deleteIS2_ESaIvELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid8NoOpTaskELN9__gnu_cxx12_Lock_policyE2EEaicore_op_task.ccarg_size_without_tilingAiCoreargs_size_args_size_without_tiling_static_cast(INT_MAX)op_desc.GetOutputsSize()[%s:%d]%lu %s:Fail to add compile cache %s.[%s:%d]%lu %s:Add compile cache of %s successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskType]Invalid task type (%d) in AiCore CreateTask.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskType]Invalid kernel type(%d) in AiCore TaskDef.Invalid kernel type(%d) in AiCore TaskDef.ExecutorUtils::UpdateHostMemInputArgs(task_context, PtrToPtr(arg_base_), args_size_, host_mem_input_data_offset_, host_inputs)Param:input is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][HostMemInputArgs] failed.Param:output is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output]null is invalid[%s:%d]%lu %s:Node:%s output[%d] is an optional, the address don't need to be saved.[%s:%d]%lu %s:Node:%s add shape buffer addr to args.Param:workspace is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:workspace]null is invalidParam:new_args is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:new_args]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args]failed, dst length is %zu, src length is %u.[%s:%d]%lu %s:Need to reset size of args_ from %u to %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sExpand args of %s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args]failed of node %s.update kernel args failed of node %s.[%s:%d]%lu %s:[%s] Arg[%u] = %lu[%s:%d]%lu %s:[%s] Dynamic shape is not supported.[%s:%d]%lu %s:Start to get tiling data size of node %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] Invalid op_param_size: %ld.[%s(%s)] Invalid op_param_size: %ld.(!ge::AddOverflow(static_cast(max_size), sizeof(uintptr_t), total_len))[%s:%d]%lu %s:Expand args size of %s from %u to %zu.Param:workspace_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:workspace_tensor]null is invalid[%s:%d]%lu %s:AiCoreOpTask rtKernelLaunchWithHandle Start (tiling_key_ = %lu, block_dim = %u).rtKernelLaunchWithHandle(handle_, tiling_key_, block_dim_, const_cast(&args_ex_), nullptr, stream, node_info_.c_str())[%s:%d]%lu %s:AiCoreOpTask rtKernelLaunchWithHandle End (tiling_key_ = %lu, block_dim = %u).[%s:%d]%lu %s:AiCoreOpTask LaunchKernel Start (task = %s, block_dim = %u).rtKernelLaunchWithFlag(stub_func_, block_dim_, const_cast(&args_ex_), nullptr, stream, 0U)[%s:%d]%lu %s:AiCoreOpTask LaunchKernel End (task = %s, block_dim = %u).[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] output[%d] origin_format[%s] != foramt[%s], is not support.[%s:%d]%lu %s:Node[%s] try to update output[%d] shape from [%s] to [%s], origin_shape from [%s] to [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] try to update output[%d] shape from [%s] to [%s], origin_shape from [%s] to [%s] failed.[%s:%d]%lu %s:[%s] Start to invoke OpParaCalculate.[%s:%d]%lu %s:[%s] Done invoking OpParaCalculate successfully.[%s:%d]%lu %s:[%s] Start to invoke OpAtomicCalculate on rt2.[%s:%d]%lu %s:[%s] Start to invoke OpAtomicCalculate on rt1.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][OpAtomicCalculate]Failed calc tiling data of node %s(%s).[%s:%d]%lu %s:[%s] Done invoking OpAtomicCalculate successfully.[%s:%d]%lu %s:Node %s update bin handle. Got compile_cache_item id:%lu bin_type is %d.[%s:%d]%lu %s:Unsupported bin_type %d.[%s:%d]%lu %s:[%s] Start to calc tiling data for task: [%s]offset_ + max_tiling_size_ + (ptr_size * tiling_data_idx_)Param:context.GetNodeState() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context.GetNodeState()]null is invalidtid:%lu [%s@%ld] [%s] [CalcTilingInfo] Starttid:%lu [%s] [CalcTilingInfo] Starttid:%lu [%s@%ld] [%s] [CalcTilingInfo] Endtid:%lu [%s] [CalcTilingInfo] End[%s:%d]%lu %s:[%s] Need to copy tiling data for task: [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args]failed, dst length is %u, src length is %zu.[%s:%d]%lu %s:[%s] Successfully getting [block_dim] : %u, [clear_atomic_] : %d, [tiling_key] : %lu for task [%s].[%s:%d]%lu %s:[%s] Done updating tiling info for task: [%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]args size:%zu of kernel_def is smaller than args_size_:%u. op:%s op_type:%sargs size:%zu of kernel_def is smaller than args_size_:%u. op:%s op_type:%s(!ge::AddOverflow(args_size_without_tiling_, max_tiling_size_, args_size_))(!ge::AddOverflow(args_size_, static_cast(kMaxHostMemInputLen), args_size_))[%s:%d]%lu %s:[%s] has host memory input, args size is extened %zu, args_size_ = %u, host_mem_input_data_offset = %zuParam:args_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Date]AiCoreTask memcpy args failed. op:%s op_type:%sAiCoreTask memcpy args failed. op:%s op_type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Invalid args_offset, size:%zu is smallerthan size of uint16_t. op:%s op_type:%sInvalid args_offset, size:%zu is smallerthan size of uint16_t. op:%s op_type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Offset][%s] Arg offset out of range. offset = %u, arg size = %uop:%s op_type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]args size:%zu of kernel_def is smaller than args_size_:%u, op:%s op_type:%sargs size:%zu of kernel_def is smaller than args_size_:%u op:%s op_type:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sarg size is beyond the UINT32_MAX.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Date]AiCoreTask memcpy args failed, op:%s op_type:%s.AiCoreTask memcpy args failed, op:%s op_type:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Invalid args_offset,size:%zu is smaller than size of uint16_t, op:%s op_type:%sInvalid args_offset, size:%zu is smaller than size of uint16_t, op:%s op_type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Offset][%s] Arg offset out of range. offset = %u,arg size = %u , op:%s op_type:%s[%s:%d]%lu %s:[%s] Done setting kernel args successfully. stub_func = %s, block_dim = %d,arg base = %p, arg size = %u[%s:%d]%lu %s:Node[%s] start update outputs shape.Param:shape_buffer_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shape_buffer_]null is invalidParam:host_shape_buffer_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:host_shape_buffer_]null is invalidrtMemcpy(host_shape_buffer_.get(), shape_buffer_->GetSize(), shape_buffer_->GetData(), shape_buffer_->GetSize(), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] output[%d] dim_num=[%u] is greater than MaxDimNum[%u][%s:%d]%lu %s:Node[%s] output[%d] shape:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] [%s(%s)] Get %s and get %s failed. check invalid[%s(%s)] Get %s and get %s failed. check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][arg_count][%s] Invalid arg memory, max arg count = %u,but expect = %zu[%s] Invalid arg memory, max arg count = %u, but expect = %zuop:%s(op_type:%s) failed to validate task def:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ValidateTaskDef]failed for op:%s(op_type:%s) to validate task def:%sParam:tiling_info_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tiling_info_]null is invalidParam:op_desc_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc_ptr]null is invalid[%s:%d]%lu %s:[TASK_INFO] %lu/%s %s.[%s:%d]%lu %s:Op: %s, Index: %d, Tensor Desc is null[%s:%d]%lu %s:Op [%s] unknown shape type is %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sOp [%s] unknown shape type is %d, but outputs size is 0.Param:npu_mem_allocator is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:npu_mem_allocator]null is invalid[%s:%d]%lu %s:Op [%s] allocate memory for outputs shape success, size=%zurtMemset(shape_buffer_->GetData(), shape_buffer_->GetSize(), 0U, shape_buffer_->GetSize())UpdateArgsCalcTilingInfostatic ge::TypeID ge::TypeID::Of() [with T = std::map, std::map >]InitAtomicAddrCleanIndicesInitSetTaskTagInitTilingInfoLaunchKernelLaunchKernelWithArgsExUpdateArgsExpandArgsByLengthUpdateArgBaseUpdateHostMemInputArgsUpdateBinHandleSetPlatformInfoCalcTilingInfoUpdateTilingInfoValidateTaskDefAddCompileCacheItemInitWithTaskDefInitWithKernelDefWithHandleInitWithKernelDefUpdateShapeToOutputDescUpdateOutputsShapeDoInitInittbeKernelN2ge6hybrid12AiCoreOpTaskEN2ge6hybrid21AtomicAddrCleanOpTaskEaicore_task_builder.ccpartially_supportedLoad task for node %s failed.Set Attr:%s fail for node:%s.[%s:%d]%lu %s:Node %s is not fused node. Skip load fused task.Param:node_item->fused_subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item->fused_subgraph]null is invalidParam:fused_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:fused_task]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] origin_fused_task init failed.[%s:%d]%lu %s:The aicpu task with partially_supported task was not found.Node[%s] task type=%u is not supported by aicpu node executor.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] task type=%u is not supported by aicpu node executor.[%s:%d]%lu %s: ErrorNo: %u(%s) %sLoad task for node %s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode[%s] task init failed.[%s:%d]%lu %s:[%s] Node has ATOMIC_ATTR_OUTPUT_INDEX[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelType]Only TBE, AI_CPU, CUST_AI_CPU kernel are supported, but got %dInit taskdef fail for %d not supported, Only TBE, AI_CPU, CUST_AI_CPU kernel are supported.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOnly AI_CORE and AI_CPU kernel for aicore task, but got task_type %uOnly AI_CORE and AI_CPU kernel for aicore task, but got task_type %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] At most %zu task was supported, but got %zu[%s(%s)] At most %zu task was supported, but got %zu, check invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] AtomicAddrClean task was expected:%zu, but got %zu task_defs[%s(%s)] AtomicAddrClean task was expected:%zu, but got %zu task_defs,[%s:%d]%lu %s:[%s] Build AtomicAddrClean task.Param:atomic_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:atomic_task]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sSet platform info to atomic clean task failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AtomicAddrCleanOpTask::Init] failed for [%s(%s)].Param:aicore_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:aicore_task]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AiCoreOpTask::Init] failed for [%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %sSet platform info failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCan not find the handler for bin mode %d-1ExpectAtomicAddrCleanTaskLoadFusedTaskLoadAicpuTaskBuildTaskLoadAtomicWorkspaceInitTaskDefstatic ge::TypeID ge::TypeID::Of() [with T = std::map, std::map >]tid:%lu [%s@%ld] [%s] [AiCpuNodeExecutorPrepareTask] Starttid:%lu [%s] [AiCpuNodeExecutorPrepareTask] Starttid:%lu [%s@%ld] [%s] [AiCpuNodeExecutorPrepareTask] Endtid:%lu [%s] [AiCpuNodeExecutorPrepareTask] End[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s] is out of range[%s:%d]%lu %s:TaskBase Dynamic shape op %s is over flow[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][RtStreamSynchronize] failed TaskBase, ret:%d.[%s:%d]%lu %s:Op %s is debug open: %s[%s:%d]%lu %s:Malloc %s memory, addr is %p for %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtGetDevice] failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtGetDeviceCapability] failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CheckDeviceSupportBlockingAicpuOpProcess] for node:%s(%s) failedCall rtEventCreateWithFlag failed for node:%s(%s), ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtEventCreateWithFlag] failed for node:%s(%s), ret:0x%XCall rtGetEventID failed for node:%s(%s), ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtGetEventID] failed for node:%s(%s), ret:0x%XUpdate event id failed for node:%s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][EventId] Update event id failed for node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:kernel_ext_info] Node[%s(%s)] parse ext info failed as ext info is empty.[%s:%d]%lu %s:Node[%s] kernel_ext_info is empty, no need copy to device, is_dynamic=%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Parse]Node[%s(%s)] parse kernel ext info failed, kernel_ext_info_size = %zu.[%s:%d]%lu %s:To update aicpu_task ext_info session_info session_id to %lu with deploy type %d, qos level flag %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][SessionInfoSessionId] failed, node:%s(%s), session_id:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][UpdateEventIdForBlockingAicpuOp] failed, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AllocTensorBuffer] Node[%s(%s)] alloc kernel_ext_info buf failed, size = %zurtMemcpy(ext_info_addr_dev_->GetData(), ext_info_addr_dev_->GetSize(), aicpu_ext_handle_.GetExtInfo(), aicpu_ext_handle_.GetExtInfoLen(), memcpy_kind_)[Check][TaskDef] Node[%s(%s)] is tf nodebut task def does not has kernel ex.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskDef] Node[%s(%s)] is tf nodebut task def does not has kernel ex.[Check][Size]Node[%s(%s)] task def kernel_ext_info.size = %zu,but kernel_ext_info_size = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s(%s)] task def kernel_ext_info.size = %zu,but kernel_ext_info_size = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][ExtInfo] failed for Node[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy kernel workspace, size = %zu.rtMemcpy(kernel_workspace_->GetData(), kernel_workspace_size, kernel_ex_def.task_info().data(), kernel_workspace_size, memcpy_kind_)[%s:%d]%lu %s:op %s use %s mem %p for workspace with flag %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] for Node[%s(%s)] to copy kernel_buf, size=%zu.rtMemcpy(kernel_buf_->GetData(), sizeof(STR_FWK_OP_KERNEL), fwk_op_kernel, sizeof(STR_FWK_OP_KERNEL), memcpy_kind_)[%s:%d]%lu %s:op %s use %s mem %p for kernel buffer with flag %d[%s:%d]%lu %s:Node[%s] type[%s] has no output, no need set mem_copy task.[%s:%d]%lu %s:Start to set memcpy task for node[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]sizeof STR_FWK_OP_KERNEL is:%lu, but args_size:%d is biggersizeof STR_FWK_OP_KERNEL is:%lu, but args_size:%d is bigger.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][aicpu_task] failed, ret: %dupdate aicpu_task failed, ret: %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] for Node[%s(%s)] to copy task workspace buf, size=%u.rtMemcpy(copy_workspace_buf_->GetData(), static_cast(kernel_def.task_info_size()), kernel_def.task_info().data(), static_cast(kernel_def.task_info_size()), memcpy_kind_)rtMemcpy(copy_task_args_buf_->GetData(), sizeof(STR_FWK_OP_KERNEL), &aicpu_task, sizeof(STR_FWK_OP_KERNEL), memcpy_kind_)[%s:%d]%lu %s:Set memcpy task for node[%s] successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][AicpuSession] failed, session_id:%luExecutorUtils::UpdateHostMemInputArgs(context, args, args_size, host_mem_input_data_offset_, host_inputs, true)Param:inputData is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:inputData]null is invalid[%s:%d]%lu %s:Node[%s] input[%d] addr = %p, size = %zu, mem_type = %dParam:outputData is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:outputData]null is invalid[%s:%d]%lu %s:Node[%s] output[%d] addr = %p, size = %zu[%s:%d]%lu %s:Node[%s] is depend compute node, use result summary as out addr.[Check][Size]Node[%s(%s)] has %d output but %zu output summary not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s(%s)] has %d output but %zu output summary not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][HostMemInputArgs] failed for Node[%s(%s)].rtMemcpy(input_output_addr_->GetData(), input_output_addr_->GetSize(), PtrToPtr(args.get()), input_output_addr_->GetSize(), memcpy_kind_)[%s:%d]%lu %s:Node[%s] task callback start. is_dynamic=%s, unknown_type=%d.[%s:%d]%lu %s:Node[%s] task callback end.[%s:%d]%lu %s:Node[%s] callback start.tid:%lu [%s@%ld] [%s] [TaskCallback] Starttid:%lu [%s] [TaskCallback] Starttid:%lu [%s@%ld] [%s] [TaskCallback] Endtid:%lu [%s] [TaskCallback] End[%s:%d]%lu %s:Node[%s] task callBack ret = %u.[%s:%d]%lu %s:Node[%s] callback end.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CheckDeviceSupportBlockingAicpuOpProcess] failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] rt_event_ is nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtStreamWaitEvent] failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtEventReset] failed, ret:0x%X[%s:%d]%lu %s:Node[%s] launch task start. unknown_type=%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][DistributeWaitTaskForAicpuBlockingOp] failed for node:%s(%s)[%s:%d]%lu %s:Node[%s] launch task end.[%s:%d]%lu %s:Node[%s] launch task start, unknown_type=%d.tid:%lu [%s@%ld] [%s] [AicpuTfNodertKernelLaunchEx] Starttid:%lu [%s] [AicpuTfNodertKernelLaunchEx] StartrtKernelLaunchFwk(node_name_.c_str(), kernel_buf_->GetData(), static_cast(kernel_buf_->GetSize()), flag, context.GetStream())tid:%lu [%s@%ld] [%s] [AicpuTfNodertKernelLaunchEx] Endtid:%lu [%s] [AicpuTfNodertKernelLaunchEx] End[%s:%d]%lu %s:Node[%s] launch end.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][DistributeWaitTaskForAicpuBlockingOp] for node:%s(%s) failed[%s:%d]%lu %s:[%s] Task needs syncMemCopy task def args.size = %zu, but args_size = %u not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] MemCopy task def args.size = %zu, but args_size = %u not equal.Task def args_size = %u is less than aicpu param head len = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Task def args_size = %u is less than aicpu param head len = %zu.new memory failed for Node[%s(%s)], task_size[%u].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed for Node[%s(%s)], task_size[%u].memcpy_s argc_ failed for Node[%s(%s)], ret: %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args] failed for Node[%s(%s)], ret: %dNode[%s(%s)] memcpy io addr to AicpuParamHead failed,ret = %d, args_size = %u, io nums = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][IoAddr] Node[%s(%s)] memcpy io addr to AicpuParamHead failed,ret = %d, args_size = %u, io nums = %u.[Call][HasKernel] Node[%s(%s)] task def does not has kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HasKernel] Node[%s(%s)] task def does not has kernel.[Check][Size] Node[%s(%s)] task def kernel_ext_info.size = %zu, but kernel_ext_info_size = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] task def kernel_ext_info.size = %zu, but kernel_ext_info_size = %uExecutorUtils::UpdateHostMemInputArgs(context, &args_[sizeof(aicpu::AicpuParamHead)], args_size_ - sizeof(aicpu::AicpuParamHead), host_mem_input_data_offset_ - sizeof(aicpu::AicpuParamHead), host_inputs)(((static_cast(node_item_->num_inputs + node_item_->num_outputs)) * sizeof(uint64_t)) + sizeof(aicpu::AicpuParamHead))[%s:%d]%lu %s:Node[%s] input[%d] = %p, size = %zu[Check][Size] Node[%s(%s)] has %d output but %zu output summary not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] has %d output but %zu output summary not equal.tid:%lu [%s@%ld] [%s] [AicpuNodeTaskBaseExecuteAsync] Starttid:%lu [%s] [AicpuNodeTaskBaseExecuteAsync] Start[%s:%d]%lu %s:Node[%s] execute async start. unknown_type=%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][Task] failed for [%s(%s)].[%s:%d]%lu %s:Node[%s] execute async end.tid:%lu [%s@%ld] [%s] [AicpuNodeTaskBaseExecuteAsync] Endtid:%lu [%s] [AicpuNodeTaskBaseExecuteAsync] End[%s:%d]%lu %s:Node[%s] is_support_block_[%d] axis_index_[%d][%s:%d]%lu %s:Node[%s] UpdateBlockDimInfo block_dim_index[%d].[%s:%d]%lu %s:Node[%s] ai_cpu_cnt[%u]![%s:%d]%lu %s:Node[%s] get AiCpuCount failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[UpdateBlockDimInfo]shard num is %ld[%s:%d]%lu %s:GetBlockDimInfo[%s] total[%ld] blocksize[%ld] blockdim[%u].[%s:%d]%lu %s:Node[%s] update args begin. is_dynamic=%s, unknown_type=%d[%s:%d]%lu %s:Node[%s] has no input and output, no need update args.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][IoAddr] failed for Node[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ExtInfo] failed for Node[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][BlockDiminfo] failed for Node[%s(%s)] blocknum[%u].[%s:%d]%lu %s:Node[%s] update args end.[%s:%d]%lu %s:Node[%s] update ext info begin, unknown_type=%d.[%s:%d]%lu %s:Node[%s] has no input and output, no need update ext info.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][InputShapeAndType] failed for Node[%s(%s)] input[%d].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][OutputShapeAndType] failed for Node[%s(%s)] output[%d].[%s:%d]%lu %s:Node[%s] update ext info end.[%s:%d]%lu %s:Node[%s] init start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Int][TopicTypAndExtInfo] for Node[%s(%s)] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Assemble][WorkSpaceAddr] for Node[%s(%s)] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sextend io length failed[%s:%d]%lu %s:Node[%s(%s)] has host memory input, io addr host is extended %zu, length = %zu,host_mem_input_data_offset = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] for Node[%s(%s)] to copy io addr, size = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][DependComputeTask] failed for Node[%s(%s)].Node[%s(%s)] sizeof STR_FWK_OP_KERNEL is: %zu, but args_size is: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] sizeof STR_FWK_OP_KERNEL is: %zu, but args_size is: %u[Update][FwkOpKernel] failed for Node[%s(%s)], ret:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][FwkOpKernel] failed for Node[%s(%s)], ret:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][EnsureSessionCreated] Node[%s(%s)] create session id %lu failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Assemble][ernelBuffer] failed for node[%s(%s)] .[%s:%d]%lu %s:[%s] set need sync to true, node type = %sParam:task_defs is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task_defs]null is invalid[%s:%d]%lu %s:Node[%s] init end.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Load][CustAicpuSo] failed, op:%s(%s), so:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][CustAicpuSo] failed, node:%s(%s).Node[%s(%s)] task def args.size = %zu, but args_size = %u not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] task def args.size = %zu, but args_size = %u not equal.Node[%s(%s)] task def args_size = %u is less than aicpu param head len = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] task def args_size = %u is less than aicpu param head len = %zu.[%s:%d]%lu %s:Node[%s(%s)] has host memory input, args size is extended %zu, args_size_ = %u, host_mem_input_data_offset = %zu.new memory failed for Node[%s(%s)], args_size_ = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed for Node[%s(%s)], args_size_ = %u.Node[%s(%s)] param head ioAddrNum = %u, but node has %d inputs and %d outputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][IoAddrNum] Node[%s(%s)] param head ioAddrNum = %u, but node has %d inputs and %d outputs.[Check][DataLen] Node[%s(%s)] param head length = %u, but min len need %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen] Node[%s(%s)] param head length = %u, but min len need %zu.[%s:%d]%lu %s:Update node[%s] out[%d] shape from %s to %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][Shape] failed for Node[%s(%s)] out[%d] originFormat[%d] is not same as format[%d], shape=%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][OutputShapes] failed for Node[%s(%s)], index = %d[%s:%d]%lu %s:Node[%s] out[%d] originFormat[%d] is not same as format[%d], need update from %s ro %s.[%s:%d]%lu %s:Task [%s] output_num is 0, no need update output shape.rtMemcpy(aicpu_ext_handle_.GetExtInfo(), aicpu_ext_handle_.GetExtInfoLen(), ext_info_addr_dev_->GetData(), ext_info_addr_dev_->GetSize(), callback_memcpy_kind_)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][UpdateShapeToOutputDesc]Update node %s(%s) [%d]th output shape[datatype:%d] failed.[Check][Param] Node[%s(%s)] has %d outputs but out shape is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Node[%s(%s)] has %d outputs but out shape is %zu[Check][Size]Node[%s(%s)] [%d]th output shape data size is %lu is not divided by int64_t.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s(%s)] [%d]th output shape data size is %lu is not divided by int64_t.[%s:%d]%lu %s:Node[%s] [%d]th output dim num=%zu.rtMemcpy(shape_addr.get(), result_summary.shape_data_size, shape_hbm->GetData(), shape_hbm->GetSize(), callback_memcpy_kind_)[%s:%d]%lu %s:Node[%s] [%d]th output dim[%zu]=%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][UpdateShapeToOutputDesc] Node[%s(%s)] update [%d]th output shape failed.[%s:%d]%lu %s:Node[%s] load task start.[Check][Size]Node[%s(%s)] task_def num[%zu] != 2[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s(%s)] task_def num[%zu] != 2[Check][Size]Node[%s(%s)] task_def num[%zu] != 1[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s(%s)] task_def num[%zu] != 1[%s:%d]%lu %s:Node[%s] task type=%u is AicpuTfNodeTask.[%s:%d]%lu %s:Node[%s] task type=%u is AicpuNodeTask.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Type] Node[%s(%s)] task type = %u is not supported by aicpu node executor,RT_MODEL_TASK_KERNEL_EX or RT_MODEL_TASK_KERNEL is supported.Node[%s(%s)] task type = %u is not supported by aicpu node executor,RT_MODEL_TASK_KERNEL_EX or RT_MODEL_TASK_KERNEL is supported.[Check][State]Load task for node %s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][State]Load task for node %s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][AicpuNodeTaskBase] failed for Node[%s(%s)].[%s:%d]%lu %s:Node[%s] load task end.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] %s(%s) index[%d] mem size out of range! Expected size: %lu, but given input size: %lu.] mem size out of range! Expected size: [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] out[%d] to copy tensor buffer, data_size:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Output] failed for Node[%s(%s)], output:%d.[%s:%d]%lu %s:Node[%s] type[%s] unknown_type is %d, output num is %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy result summary info, size = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy task input release_flag, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy task input data_size, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy task input src, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy task input dst, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy task args, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] to copy task ioaddr, size = %zurtMemcpy(copy_ioaddr_dev_->GetData(), copy_io_addr_size, ©_io_addr[0U], copy_io_addr_size, memcpy_kind_)rtMemcpy(&result_summary, sizeof(aicpu::FWKAdapter::ResultSummary), output_summary_[static_cast(i)]->GetData(), output_summary_[static_cast(i)]->GetSize(), callback_memcpy_kind_)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] index[%d] output buffer, raw_data_size:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][TensorBuffer] failed for Node[%s(%s)] out[%d] to copy shape buffer, shape_data_size:%lu[%s:%d]%lu %s:Node[%s] update shape and data by result summary begin.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ReadResultSummaryAndPrepareMemory] failed for Node[%s(%s)].tid:%lu [%s@%ld] [%s] [ReadResultSummaryAndPrepareMemory] Endtid:%lu [%s] [ReadResultSummaryAndPrepareMemory] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][CopyDataToHbm] failed for Node[%s(%s)] copy data to output.tid:%lu [%s@%ld] [%s] [CopyDataToHbm] Endtid:%lu [%s] [CopyDataToHbm] End[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ShapeByHbmBuffer] failed for Node[%s(%s)].[%s:%d]%lu %s:Node[%s] update shape and data by result summary end.[%s:%d]%lu %s:Node[%s] out[%d] summary, shape data=0x%lx, shape data size=%lu, raw data=0x%lx, raw data size=%lu.Param:shape_buffer is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:shape_buffer]null is invalidrtMemcpy(copy_input_release_flag_dev_->GetData(), copy_input_release_flag_dev_->GetSize(), ©_input_release_flag[0U], copy_input_buf_len, memcpy_kind_)rtMemcpy(copy_input_data_size_dev_->GetData(), copy_input_data_size_dev_->GetSize(), ©_input_data_size[0U], copy_input_buf_len, memcpy_kind_)rtMemcpy(copy_input_src_dev_->GetData(), copy_input_src_dev_->GetSize(), ©_input_src[0U], copy_input_buf_len, memcpy_kind_)rtMemcpy(copy_input_dst_dev_->GetData(), copy_input_dst_dev_->GetSize(), ©_input_dst[0U], copy_input_buf_len, memcpy_kind_)[Check][Size] Node[%s(%s)] has %d outputs but out shape is %zu not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] has %d outputs but out shape is %zu not equal.tid:%lu [%s@%ld] [%s] [LaunchCopy] Starttid:%lu [%s] [LaunchCopy] Starttid:%lu [%s@%ld] [%s] [LaunchCopy] Endtid:%lu [%s@%ld] [%s] [SynchronizeCopy] Endtid:%lu [%s] [SynchronizeCopy] EndrtKernelLaunchFwk(node_name_.c_str(), copy_task_args_buf_->GetData(), sizeof(STR_FWK_OP_KERNEL), RT_KERNEL_DEFAULT, context.GetStream())aicpu_node_executor.ccbasedevicekernel_def.args_size()kernel_def.args().size()kernel_def.task_info_size()input_output_addr_->GetSize()io_num * sizeof(uint64_t)rt_rethost_mem_input_data_offset_sizeof(aicpu::AicpuParamHead)[%s:%d]%lu %s:Op type[%s].FunctionOp_exception_abort_flag_AllShapekernel_ex_def.args_size()kernel_ex_def.args().size()Check mem size) index[, but given input size: situationE19025tid:%lu [%s] [LaunchCopy] EndLoadTaskLaunchTaskCheckOverflowUpdateIoAddrUpdateHostMemInputArgsInitInitTopicTypAndExtInfoInitForDependComputeTaskSetMemCopyTaskInitBlockAicpuOpSetTaskTagTaskCallbackLaunchTaskUpdateIoAddrUpdateHostMemInputArgsUpdateShapeAndDataByResultSummaryUpdateShapeByHbmBufferPrepareCopyInputsCopyDataToHbmCopyDataToHbmReadResultSummaryAndPrepareMemoryAllocOutputBufferEnsureSessionCreatedSetMemCopyTaskGetExtendedIoLenOfTfNodeForHostMemInputInitAssembleKernelBufferAssembleWorkSpaceAddrInitTopicTypAndExtInfoCanSyncStreamInitForDependComputeTaskCheckOverflowDistributeWaitTaskForAicpuBlockingOpCheckDeviceSupportBlockingAicpuOpProcessUpdateEventIdForBlockingAicpuOpoperator()ExecuteAsyncUpdateArgsCeilDivisorUpdateBlockDimInfoUpdateExtInfoUpdateShapeToOutputDescUpdateOutputShapeFromExtInfoInitExtInfoAllocTensorBuffer*ZN2ge6hybrid17AicpuNodeTaskBase12ExecuteAsyncERNS0_11TaskContextERKSt8functionIFvvEEEUlvE_N2ge6hybrid17AicpuNodeTaskBaseEN2ge6hybrid15AicpuTfNodeTaskEN2ge6hybrid13AicpuNodeTaskEN2ge6hybrid17AiCpuNodeExecutorESt15_Sp_counted_ptrIPN2ge6hybrid15AicpuTfNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid13AicpuNodeTaskELN9__gnu_cxx12_Lock_policyE2EEtid:%lu [%s@%ld] [%s] [KnownNodeExecutorExecuteTask] Starttid:%lu [%s] [KnownNodeExecutorExecuteTask] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync]Failed to execute task. node:%s(%s)tid:%lu [%s@%ld] [%s] [KnownNodeExecutorExecuteTask] Endtid:%lu [%s] [KnownNodeExecutorExecuteTask] End[%s:%d]%lu %s:[%s] KnownNodeExecutor::PrepareTask in.tid:%lu [%s@%ld] [%s] [KnownNodeExecutorPrepareTask] Starttid:%lu [%s] [KnownNodeExecutorPrepareTask] Starttid:%lu [%s@%ld] [%s] [KnownNodeExecutorTaskInit] Starttid:%lu [%s] [KnownNodeExecutorTaskInit] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Init] %s(%s) known node init davinci model failed.tid:%lu [%s@%ld] [%s] [KnownNodeExecutorTaskInit] Endtid:%lu [%s] [KnownNodeExecutorTaskInit] Endtid:%lu [%s@%ld] [%s] [KnownNodeExecutorUpdateArgs] Starttid:%lu [%s] [KnownNodeExecutorUpdateArgs] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][UpdateArgs] %s(%s) known node task update args failed.tid:%lu [%s@%ld] [%s] [KnownNodeExecutorUpdateArgs] Endtid:%lu [%s] [KnownNodeExecutorUpdateArgs] Endtid:%lu [%s@%ld] [%s] [KnownNodeExecutorPrepareTask] Endtid:%lu [%s] [KnownNodeExecutorPrepareTask] End[%s:%d]%lu %s:[%s] KnownNodeExecutor::PrepareTask success.tid:%lu [%s@%ld] [%s] [KnownNodeTaskExecuteAsync] Starttid:%lu [%s] [KnownNodeTaskExecuteAsync] Start[%s:%d]%lu %s:[%s] KnownNodeTask::ExecuteAsync in, model id: %u.[%s:%d]%lu %s:KnownNodeExecutor::ExecuteAsync davinci model has no taskinfo.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Failed to set output[%d]tid:%lu [%s@%ld] [%s] [KnownNodertModelExecute] Starttid:%lu [%s] [KnownNodertModelExecute] StartrtModelExecute error, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtModelExecute] error, ret:0x%Xtid:%lu [%s@%ld] [%s] [KnownNodertModelExecute] Endtid:%lu [%s] [KnownNodertModelExecute] End[%s:%d]%lu %s:[%s] KnownNodeTask::ExecuteAsync success, model id: %u.tid:%lu [%s@%ld] [%s] [KnownNodeTaskExecuteAsync] Endtid:%lu [%s] [KnownNodeTaskExecuteAsync] EndParam:global_step is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:global_step]null is invalidParam:root_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:root_graph]null is invalidParam:compute_graph is nullptr, check invalid, [Get][Name] of subgraph failed, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:compute_graph]null is invalid, [Get][Name] of subgraph failed, node:%s(%s)[%s:%d]%lu %s:[Init][DavinciModel] start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][VariableMem] failed[%s:%d]%lu %s:session id from model is %lu while %lu is in use[%s:%d]%lu %s:Start to init davinci model, weight size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][DavinciModel] Failed to init davinci model.[%s:%d]%lu %s:[Init][DavinciModel] success[%s:%d]%lu %s:[%s] KnownNodeExecutor::UpdateArgs in.[%s:%d]%lu %s:KnownNodeExecutor::UpdateArgs davinci model has no taskinfo.Param:tv is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tv]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][ModelStream] failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][KnownNodeArgs] failed for %s(%s).[%s:%d]%lu %s:[%s] KnownNodeExecutor::UpdateArgs success, task_size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][Outputs] failed for %s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TotalMemSizeExcludeZeroCopy] failed, node:%s(%s).tid:%lu [%s@%ld] [%s] [KnownNodeTask_AllocateWorkspace] Starttid:%lu [%s] [KnownNodeTask_AllocateWorkspace] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][Workspace] failed for %s(%s).tid:%lu [%s@%ld] [%s] [KnownNodeTask_AllocateWorkspace] End, size %ldtid:%lu [%s] [KnownNodeTask_AllocateWorkspace] End, size %ld[%s:%d]%lu %s:KnownNodeTask::Init mem base is %lx, size %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][ExMem] failed, node:%s(%s).Param:execution_context is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:execution_context]null is invalid[%s:%d]%lu %s:[%s] KnownNodeExecutor::Init success.[%s:%d]%lu %s:[%s] Start to parse attributes for outputs[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][DataNodes] failed, node:%s(%s)[%s:%d]%lu %s:Node %s, output %d, src node = %s, src node type = %s[%s:%d]%lu %s:[%s] output [%d] reuse output [%d] input node = %s, idx = %d.[%s:%d]%lu %s:[%s] output[%u] reuses input[%d][%s:%d]%lu %s:[%s] output[%d] ref to node [%s][%s:%d]%lu %s:[%s] Done parsing attributes for outputs successfully[%s:%d]%lu %s:[%s] KnownNodeExecutor::LoadTask in.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ModelAndGraph][%s(%s)] Failed to get model and graphParam:davinci_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:davinci_model]null is invalid[%s:%d]%lu %s:KnownNodeExecutor::LoadTask node id %ld.Param:known_node_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:known_node_task]null is invalid[%s:%d]%lu %s:[%s] KnownNodeExecutor::LoadTask success.known_node_executor.ccGetModelAndGraphGetDataNodesParseAttrForAllocatingOutputsExecuteTaskLoadTaskSetDaviciModelPrepareTaskInitDavinciModelInitUpdateArgsExecuteAsyncN2ge10ModelParamEN2ge6hybrid13KnownNodeTaskEN2ge6hybrid17KnownNodeExecutorESt15_Sp_counted_ptrIPN2ge12DavinciModelELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid13KnownNodeTaskELN9__gnu_cxx12_Lock_policyE2EEcontrol_op_executor.ccsizeof(value)this->GetSize()kMinBranchNumnum_subgraphs[%s] Unsupported type: %srtMemcpy(PtrToPtr(&value), sizeof(value), this->GetData(), sizeof(value), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:[%s] Start to init FusedOpNodeTask.Param:origin_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:origin_graph]null is invalid[%s:%d]%lu %s:[%s] Adding fused_graph [%s] to origin-graph executor.Param:origin_subgraph_item is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:origin_subgraph_item]null is invalid[%s:%d]%lu %s:[%s] Done origin graph initialization successfully.Param:graph_executor_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:graph_executor_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][SubgraphExecutor]Failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync] Failed to execute subgraph.[%s:%d]%lu %s:[%s] Taking fused subgraph.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][Subgraph] failed for [%s(%s)][%s:%d]%lu %s:[%s] Done executing origin graph successfully.[%s:%d]%lu %s:Branch index out of range. index = %zu, num_subgraphs = %zu, will taking last branch.Param:input_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_tensor_desc]null is invalidParam:output_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_tensor_desc]null is invalid[%s:%d]%lu %s:[%s] To update input shape[%d] by output shape. from [%s] to [%s][%s:%d]%lu %s:[%s] Start to init IfOpNodeTask.Param:then_subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:then_subgraph]null is invalid[%s:%d]%lu %s:[%s] Adding subgraph [%s] to then-subgraph.Param:else_subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:else_subgraph]null is invalid[%s:%d]%lu %s:[%s] Adding subgraph [%s] to else-subgraph.[%s:%d]%lu %s:[%s] Done initialization successfully.[%s:%d]%lu %s:[%s] Start to init WhileOpNodeTask.Param:cond_subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:cond_subgraph]null is invalid[%s:%d]%lu %s:[%s] Adding subgraph [%s] to cond-subgraph.Param:body_subgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:body_subgraph]null is invalid[%s:%d]%lu %s:[%s] Adding subgraph [%s] to body-subgraph.Param:branch_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:branch_tensor]null is invalid[%s:%d]%lu %s:[%s] Taking subgraph by branch = [%d][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][Subgraph] failed for [%s(%s)].[%s:%d]%lu %s:[%s] Done executing subgraph[%d] successfully.[%s:%d]%lu %s:[%s] Start to execute cond-subgraph.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync] %s(%s) Failed to execute partitioned call.[%s:%d]%lu %s:[%s] Done executing cond-subgraph successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Synchronize][%s] Failed to sync cond-subgraph result.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetOutputs][%s] Failed to get cond-output.[%s:%d]%lu %s:[%s] Start to init CaseOpNodeTask with %u branches.[%s:%d]%lu %s:[%s] Adding subgraph [%s] to branch %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][NodeType][%s] Unsupported type: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Init][%s(%s)] Failed to init ControlOpNodeTask.[%s:%d]%lu %s: ErrorNo: %u(%s) %sData type %s is not support by cond.Param:cond_tensor_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:cond_tensor_desc]null is invalidParam:cond_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:cond_tensor]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ToBool][%s(%s)] Failed to get cond value.[%s:%d]%lu %s:[%s] Cond tensor shape = [%s], cond value = %d[%s:%d]%lu %s:[%s] Taking subgraph by cond = [%d][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][Subgraph] failed for [%s(%s)]. cond = %d[%s:%d]%lu %s:[%s] Done executing with cond = %d successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][Cond_Subgraph] failed for [%s(%s)][%s(%s)] Number of cond outputs(%zu) or size of cond output desc(%zu)not equal %zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] Number of cond outputs(%zu) or Number of cond output desc(%zu) not equal %zu[%s:%d]%lu %s:[%s] Cond tensor shape = [%s], is_continue = %d[%s:%d]%lu %s:[%s] Start to execute body-subgraph.[%s:%d]%lu %s:[%s] Done executing body-subgraph successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Move][Outputs2Inputs] failed for [%s(%s)][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteCond][%s(%s)] Failed to execute cond-subgraph[%s(%s)] Invalid while args. num_inputs = %d not equal num_outputs = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task_context][%s(%s)] Invalid while args. num_inputs = %d, num_outputs = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][Cond] failed for [%s(%s)][%s:%d]%lu %s:[%s] Start to execute, iteration = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteOneLoop][%s(%s)] Failed to execute iteration %d.[%s:%d]%lu %s:[%s] Quit from loop. current iteration = %dLoadTaskDoExecuteAsyncInitExecuteOneLoopMoveOutputs2InputsExecuteCondDoExecuteAsyncInitDoExecuteAsyncSelectBranchInitDoExecuteAsyncInitCopyScalarValueToHostCopyFloatValueToHostCopyScalarValueToHostCopyFloatValueToHostCopyScalarValueToHostCopyIntegerValueToHostCopyScalarValueToHostCopyIntegerValueToHostCopyScalarValueToHostCopyIntegerValueToHostCopyScalarValueToHostCopyIntegerValueToHostCopyScalarValueToHostCopyIntegerValueToHostCopyScalarValueToHostCopyBoolValueToHostToBoolExecuteSubgraphExecuteSubgraphFjRKN2ge6hybrid11TensorValueERbESt14default_deleteIN2ge6hybrid17ControlOpNodeTaskEEN2ge6hybrid17ControlOpNodeTaskEN2ge6hybrid12IfOpNodeTaskEN2ge6hybrid14CaseOpNodeTaskEN2ge6hybrid15WhileOpNodeTaskEN2ge6hybrid15FusedOpNodeTaskEN2ge6hybrid21ControlOpNodeExecutorEPFjRKN2ge6hybrid11TensorValueERbESt19_Sp_counted_deleterIPN2ge6hybrid17ControlOpNodeTaskESt14default_deleteIS2_ESaIvELN9__gnu_cxx12_Lock_policyE2EE4GetSize(), size_tensor_value->MutableData(), size_tensor_value->GetSize(), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:Stack[%s] get max size:%ld.rtMemcpyAsync(tensor_value->MutableData(), tensor_value->GetSize(), &handle, sizeof(int64_t), RT_MEMCPY_HOST_TO_DEVICE, context.GetStream())[%s:%d]%lu %s:Stack[%s] compute successfully, handle[%ld].[%s:%d]%lu %s:The kernel has already been registered, type:%s.Failed to push, resource is closed. StackPush name:%s, handle:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sResource is closed, StackPush name:%s, handle:%ld.Param:data_tensor_value is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_tensor_value]null is invalidParam:data_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_desc]null is invalidFailed to push, StackPush name:%s, handle:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to push, StackPush name:%s, handle:%ld.Param:out_tensor_value is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:out_tensor_value]null is invalidrtMemcpyAsync(out_tensor_value->MutableData(), out_tensor_value->GetSize(), data_tensor_value->GetData(), static_cast(copy_size), RT_MEMCPY_DEVICE_TO_DEVICE, context.GetStream())[%s:%d]%lu %s:StackPush[%s] compute successfully, handle[%ld].ComputeComputeComputeComputeRegisterKernelCreatorFSt10shared_ptrIN2ge6hybrid18DataFlowKernelBaseEEvEN2ge6hybrid18DataFlowKernelBaseEN2ge6hybrid21DataFlowKernelFactoryEN2ge6hybrid13DataFlowStackEN2ge6hybrid17DataFlowStackPushEN2ge6hybrid16DataFlowStackPopEN2ge6hybrid18DataFlowStackCloseEPFSt10shared_ptrIN2ge6hybrid18DataFlowKernelBaseEEvESt15_Sp_counted_ptrIPN2ge6hybrid13DataFlowStackELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid17DataFlowStackPushELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid16DataFlowStackPopELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid18DataFlowStackCloseELN9__gnu_cxx12_Lock_policyE2EEtid:%lu [%s@%ld] [%s] [GeLocalNodeExecutorPrepareTask] Starttid:%lu [%s] [GeLocalNodeExecutorPrepareTask] Starttid:%lu [%s@%ld] [%s] [GeLocalNodeExecutorPrepareTask] Endtid:%lu [%s] [GeLocalNodeExecutorPrepareTask] End[%s:%d]%lu %s:[%s] Start execute.[%s:%d]%lu %s:[%s] Done execute successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Output] failed for [%s(%s)].[%s:%d]%lu %s:[%s] Start invoke callback.[%s:%d]%lu %s:node %s type %s ref input by order begin.node %s type %s has %d outputs but only has %zu out ref index.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]node %s type %s has %d outputs but only has %zu out ref index.[%s:%d]%lu %s:node %s type %s output[%d] ref input[%u] addr=%p.[%s:%d]%lu %s:node %s type %s ref input by order end.Param:tensor_out is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_out]null is invalidParam:tensor_value_out is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_value_out]null is invalidnode:%s type:%s [%lu]th compute data size=%zu, but context data size=%zu.check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]node:%s type:%s [%lu]th compute data size=%zu, but context data size=%zu.[%s:%d]%lu %s:node:%s type:%s [%lu]th output data=%p, out size=%zu, data size=%zu.rtMemcpyAsync(tensor_value_out->MutableData(), tensor_value_out->GetSize(), tensor_data_out.GetData(), tensor_data_out.GetSize(), RT_MEMCPY_HOST_TO_DEVICE_EX, context.GetStream())[%s:%d]%lu %s:node:%s type:%s [%lu]th set data success, data size=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][TaskBasicInfo]Failed to get handle, node:%s[%s:%d]%lu %s:Init data flow handle[%ld], node[%s]Get kernel failed for node %s type %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Get]node %s type %s kernel is nullptr.node %s type %s compute failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Compute]node %s type %s compute failed.tid:%lu [%s@%ld] [%s] [DataFlowNodeTask] Starttid:%lu [%s] [DataFlowNodeTask] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Execute]node:%s type:%s execute failedtid:%lu [%s@%ld] [%s] [DataFlowNodeTask] Endtid:%lu [%s] [DataFlowNodeTask] End[%s:%d]%lu %s:node %s type %s ref input one by one begin.node %s type %s has %d outputs but only %d inputs, can't ref one by one.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]node %s type %s has %d outputs but only %d inputs, can't ref one by one.Param:node_stat is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_stat]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] %s(%s) index[%d] mem size out of range! Expected size: %ld, but given input size: %ld.rtMemcpyAsync(output->MutableData(), output->GetSize(), input->GetData(), static_cast(expected_size), RT_MEMCPY_DEVICE_TO_DEVICE, context.GetStream())[%s:%d]%lu %s:node %s type %s output[%d] ref input[%d] addr=%p.[%s:%d]%lu %s:node %s type %s ref input one by one end.create failed for node %s type %s is not supported by host kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Create]node %s type %s is not supported by host kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Compute]node %s type %s compute failed or not imply.node %s type %s has %u output,but kernel compute only has %zu output. check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]node %s type %s has %u output, but kernel compute only has %zu output.tid:%lu [%s@%ld] [%s] [DependInputShapeTaskExecuteAsync] Starttid:%lu [%s] [DependInputShapeTaskExecuteAsync] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Execute]node:%s type:%s depend input shape task execute failedtid:%lu [%s@%ld] [%s] [DependInputShapeTaskExecuteAsync] Endtid:%lu [%s] [DependInputShapeTaskExecuteAsync] End[%s:%d]%lu %s:node %s type %s is ref input task, use RefInputTask.Create RefInputTask failed for node %s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][RefInputTask] failed for node %s(%s).[%s:%d]%lu %s:node %s type %s is depend input shape task, use DependInputShapeTask.Create DependInputShapeTask failed for node %s type %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][DependInputShapeTask]failed for node %s type %s.[%s:%d]%lu %s:node %s type %s, use ConstantNodeTask.GetTensor failed for node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Tensor] failed for node:%s(%s)[%s:%d]%lu %s:node %s type %s , use NoOpNodeTask.Create NoOpNodeTask failed for NoOp node %s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][NoOpNodeTask]failed for NoOp node %s(%s).[%s:%d]%lu %s:node %s type %s is data flow task, use DataFlowNodeTask.Create DataFlowNodeTask failed for node %s type %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][DataFlowNodeTask]failed for node %s type %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][TaskBasicInfo]node:%s type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] node %s type %s is not support in GeLocalNodeExecutor now.node %s type %s can not use RefInputTask.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][Node]node %s type %s can not use RefInputTask.tid:%lu [%s@%ld] [%s] [RefInputTaskExecuteAsync] Starttid:%lu [%s] [RefInputTaskExecuteAsync] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Execute]node:%s type:%s ref input task execute failedtid:%lu [%s@%ld] [%s] [RefInputTaskExecuteAsync] Endtid:%lu [%s] [RefInputTaskExecuteAsync] Endge_local_node_executor.ccExecuteExecuteAsyncInitTaskBasicInfoExecuteAsyncExecuteAsyncLoadTaskExecuteAsyncExecuteCopyDataToOutputExecuteAsyncRefByOrderRefOneByOneExecuteN2ge6hybrid12RefInputTaskEN2ge6hybrid20DependInputShapeTaskEN2ge6hybrid16ConstantNodeTaskEN2ge6hybrid12NoOpNodeTaskEN2ge6hybrid16DataFlowNodeTaskEN2ge6hybrid19GeLocalNodeExecutorESt15_Sp_counted_ptrIPN2ge6hybrid12RefInputTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid20DependInputShapeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid16ConstantNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid12NoOpNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid16DataFlowNodeTaskELN9__gnu_cxx12_Lock_policyE2EEhccl_node_executor.ccrtEventRecord(evt, nullptr)rtEventDestroy(evt)libhcom_graph_adaptor.soHcomExecInitializeHcomExecFinalizelocal_offsetHcomExecEnqueueAllToAllVHcomExecEnqueueAllToAllVCaddr_lengthremotelocalHcomExecEnqueueRemoteAccessHcomExecEnqueueOperationgroup[%s:%d]%lu %s:[%s] HcclNodeExecutor::Init success.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Run][CallBack] [%s(%s)] AllToAllNodeTask execute failed.[%s:%d]%lu %s:[%s] AllToAllNodeTask callback successfully.call HcomExecEnqueueOperation failed for node %s(%s), ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecEnqueueOperation] failed for node %s(%s), ret: 0x%X[%s:%d]%lu %s:node %s hccl callback success.call HcomExecEnqueueRemoteOperation failed for node %s(%s), ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecEnqueueRemoteOperation] failed for node %s(%s), ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExcutorInitialize] failed for node:%s(%s), ret: 0x%X[%s:%d]%lu %s:rdma callback success.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync] failed to execute task. node:%s(%s)[%s:%d]%lu %s:failed to get realpath of %s[%s:%d]%lu %s:FileName:%s, Path:%s.Open SoFile %s failed, error:%s! [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Open][SoFile] %s failed, error:%s! [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][HcomExecInitialize] Failed for hcom unknown node function.[%s:%d]%lu %s:Hccl comm is null, hcom executor initialize is not required.[%s:%d]%lu %s:Hcom executor initialize success.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecInitialize] failed, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][HcomExecFinalize] failed for hcom unknown node function.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecFinalize] failed, ret: 0x%X[%s:%d]%lu %s:Failed to close handle %s[%s:%d]%lu %s:Hcom executor finalize success.Param:context.GetNodeItem().op_desc->GetInputDescPtr(static_cast(offset_idx)) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context.GetNodeItem().op_desc->GetInputDescPtr(static_cast(offset_idx))]null is invalidParam:offset_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:offset_tensor]null is invalidnum of offset and remote addr mismatch, check invalidoffset size=%zu, remote_addr size=%zu, dtype=%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]num of offset and remote addr mismatch,offset size=%zu, remote_addr size=%zu, dtype=%sParam:addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:addr]null is invalidParam:recv_tv is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:recv_tv]null is invalid%s(%s) alltoallv datatype:%s not support.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][DataType] %s(%s) alltoallv datatype:%s not support.[%s:%d]%lu %s:[%s] AllToAllNodeTask::ExecuteAsync in.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Function] [HcomExecEnqueueAllToAllV] for node:%s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Process][HcomExecEnqueueAllToAllV] AllToAllV teak enqueue failed for node [%s(%s)].HcomExecEnqueueGatherAllToAllV[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Function] [HcomExecEnqueueGatherAllToAllV] for node:%s(%s) failed.Param:gathered_tv is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:gathered_tv]null is invalid%s(%s) received datatype:%s not support.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][DataType] %s(%s) received datatype:%s not support.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Process][HcomExecEnqueueGatherAllToAllV] GatherAllToAllV teak enqueue failed for node [%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Function] [HcomExecEnqueueAllToAllVC] for node:%s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Process][HcomAllToAllVCParams] AllToAllVC teak enqueue failed for node [%s(%s)].[%s:%d]%lu %s:[%s] AllToAllNodeTask::ExecuteAsync success.HcomExecEnqueueRemoteOperation[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][HcomExecEnqueueRemoteOperation] failed for %s(%s) hcom unknown node function.[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput size[%zu] is not equal with input_num[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %soutputs is empty[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecEnqueueRemoteOperation] failed for node:%s(%s), ret: 0x%XCall HcomExecEnqueueRemoteOperation failed for node:%s(%s), ret: 0x%X[%s:%d]%lu %s:[%s] HcclNodeTask::ExecuteAsync success.[%s:%d]%lu %s:[%s] RdmaNodeTask::Init in.Param:op_desc_p is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc_p]null is invalidParam:peer_node->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:peer_node->GetOpDesc()]null is invalidParam:node_item_ref.node->GetInDataAnchor(offset_idx) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item_ref.node->GetInDataAnchor(offset_idx)]null is invalidParam:node_item_ref.node->GetInDataAnchor(offset_idx)->GetPeerOutAnchor() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item_ref.node->GetInDataAnchor(offset_idx)->GetPeerOutAnchor()]null is invalidParam:node_item_ref.node->GetInDataAnchor(offset_idx)->GetPeerOutAnchor()->GetOwnerNode() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item_ref.node->GetInDataAnchor(offset_idx)->GetPeerOutAnchor()->GetOwnerNode()]null is invalidParam:node_item_ref.node->GetInDataAnchor(offset_idx)->GetPeerOutAnchor()->GetOwnerNode()->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node_item_ref.node->GetInDataAnchor(offset_idx)->GetPeerOutAnchor()->GetOwnerNode()->GetOpDesc()]null is invalid[%s:%d]%lu %s:[%s] HcclNodeExecutor::PrepareTask in.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Init]hccl node %s(%s) load hccl so failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][AllocateOutputs]hccl node %s(%s) task allocate output failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Args] failed for hccl node %s(%s).[%s:%d]%lu %s:[%s] HcclNodeExecutor::PrepareTask success.[%s:%d]%lu %s:[%s] HcclNodeExecutor::LoadTask in.[%s:%d]%lu %s:[%s] HcclNodeExecutor::LoadTask success.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGetOffsetTensor failed, node name[%s].Param:addr_offset is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:addr_offset]null is invalidParam:base_addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:base_addr]null is invalid[%s:%d]%lu %s:Int64 %ld and %ld multiplication can result in overflow!Param:data_len_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_len_ptr]null is invalidLocal embedding length is out of range, expect %lu, but %lu exactly.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Local embedding length is out of range, expect %lu, but %lu exactly.[%s:%d]%lu %s:data is null, no need to do rdma read/write, node=%sTensor data is nullptr. and kRdmaScatterTypes not contain %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][NodeType]Tensor data is nullptr. and kRdmaScatterTypes not contain %sVariable table shape check failed, number of shape dims:%lu not equal expect:%zu and shape dims back:%lu not equal expect:%zu, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]Variable table shape check failed, number of shape dims:%zu not equal expect:%zu and shape dims back:%zu not equal expect:%zu, node:%s(%s)Param:size_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:size_ptr]null is invalidParam:NpuMemoryAllocator::GetAllocator() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:NpuMemoryAllocator::GetAllocator()]null is invalid[%s:%d]%lu %s:Allocate rdma memory for node %s, size: %zu[%s:%d]%lu %s:[%s] RdmaNodeTask::ExecuteAsync in.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][HcomExecEnqueueRemoteAccess] failed for node:%s(%s) hcom unknown node function.rtEventCreateWithFlag(&evt, RT_EVENT_WITH_FLAG)rtStreamWaitEvent(context.GetExecutionContext()->hccl_stream, evt)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecEnqueueRemoteAccess] failed for node:%s(%s), ret: 0x%X[%s:%d]%lu %s:[%s] RdmaNodeTask::ExecuteAsync success.%s(%s) inputdesc0 datatype:%s not support.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][DataType] %s(%s) inputdesc0 datatype:%s not support.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcclOperationType] failed for %s type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcclRootId] failed for %s type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcomCount] failed for %s type:%s[%s:%d]%lu %s:[%s] HcclNodeTask::ExecuteAsync hccl_type %s, count %d, data_type %d, op_type %d, root %u.[%s:%d]%lu %s:[%s] HcclNodeTask::ExecuteAsync in. %s(%s) invalid, hccl handle is nullptr![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:context] %s(%s) hccl handle is nullptr![%s:%d]%lu %s: ErrorNo: %u(%s) %sGetInputsOutPuts failed, node name[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][HcomExecEnqueueOperation] failed for %s(%s) hcom unknown node function.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFillHcomOpInfo failed, node name[%s].Call HcomExecEnqueueOperation failed for node:%s(%s), ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomExecEnqueueOperation] failed for node:%s(%s), ret: 0x%X[%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:%sFinalizeGetModelPathInitializeExecuteTaskLoadTaskPrepareTaskInitoperator()BuildAllToAllVCParamsBuildGatherAllToAllParamsBuildAllToAllVparamsExecuteAsyncoperator()ExecuteAsyncExtractTensorSetAddrInfoGetOffsetTensorInitoperator()ExecHcomRemoteOpoperator()ExecuteAsyncGetInputsOutPutsFillHcomOpInfo*ZN2ge6hybrid12HcclNodeTask12ExecuteAsyncERNS0_11TaskContextERKSt8functionIFvvEEEUl10HcclResultE_*ZNK2ge6hybrid12HcclNodeTask16ExecHcomRemoteOpERKNS0_11TaskContextESt10shared_ptrINS_6OpDescEERKSt6vectorIPvSaIS9_EESD_RKSt8functionIFvvEEEUl10HcclResultE_*ZN2ge6hybrid12RdmaNodeTask12ExecuteAsyncERNS0_11TaskContextERKSt8functionIFvvEEEUl10HcclResultE_*ZN2ge6hybrid16AllToAllNodeTask12ExecuteAsyncERNS0_11TaskContextERKSt8functionIFvvEEEUl10HcclResultE_N2ge6hybrid12HcclNodeTaskEN2ge6hybrid12RdmaNodeTaskEN2ge6hybrid16AllToAllNodeTaskEN2ge6hybrid16HcclNodeExecutorESt15_Sp_counted_ptrIPN2ge6hybrid12RdmaNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid16AllToAllNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid12HcclNodeTaskELN9__gnu_cxx12_Lock_policyE2EEhost_cpu_node_executor.ccRunHostCpuKernelGet run cpu kernel failed.[%s:%d]%lu %s:Node[%s] launch task start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Run][CpuKernel] failed for node:%s(%s).Run cpu kernel failed node:%s(%s), cpu kernel is not initialized.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Run][Kernel]Run cpu kernel failed node:%s(%s), cpu kernel is not initialized.[%s:%d]%lu %s:Node[%s] launch task successfully.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][Execute] failed for node:%s(%s).[%s:%d]%lu %s:Node[%s] don't have ext info, no need update.Param:aicpu_param_head is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:aicpu_param_head]null is invalid[Check][TaskType]Invalid task type (%d) in host cpu excutor.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskType]Invalid task type (%d) in host cpu excutor.Invalid kernel type(%d) in host cpu excutor.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TaskType]Invalid kernel type(%d) in host cpu excutor.Node[%s(%s)] task_def num[%zu] != 1[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size] Node[%s(%s)] task_def num[%zu] != 1[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Validate][TaskDef] failed for Node[%s(%s)].[Create][HostAicpuNodeTask] Load task for node %s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][HostAicpuNodeTask] Load task for node %s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][HostAicpuNodeTask] failed for Node[%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][HostExtInfo] failed for Node[%s(%s)].Get constant folding handle failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Handle]Get constant folding handle failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Kernel]Get run cpu kernel failed.[%s:%d]%lu %s:Node[%s] has no input and output, no need to update args.node:%s(%s) Failed to allocate output %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][Output] for node:%s(%s) failed, output idx:%dNode[%s(%s)] memcpy io addr to AicpuParamHead failed,ret=%d, args_size=%u, io nums=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][IoAddr]Node[%s(%s)] memcpy io addr to AicpuParamHead failed,ret=%d, args_size=%u, io nums=%zu.LoadTaskValidateTaskDefSetHostExtInfoExecuteExecuteAsyncUpdateExtInfoUpdateArgsFjPvEN2ge6hybrid17HostAicpuNodeTaskEN2ge6hybrid19HostCpuNodeExecutorEPFjPvESt15_Sp_counted_ptrIPN2ge6hybrid17HostAicpuNodeTaskELN9__gnu_cxx12_Lock_policyE2EEDNN_VM_RTS_FFTS_PLUS_OP_STORE[%s:%d]%lu %s:[%s] Skipping UpdateArgs for op with empty outputs[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][Task] failed. node = %sFailed to get ExecutorType by lib_name:%s, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][ExecutorType]Failed to get ExecutorType by lib_name:%s, node:%s(%s)[%s:%d]%lu %s:No need for finalizing for not initialized.[%s:%d]%lu %s:Ref count = %d, do not finalize executors.[%s:%d]%lu %s:Start to invoke Finalize on executors.[%s:%d]%lu %s:Done invoking Finalize successfully.[%s:%d]%lu %s:Initializing NodeExecutors successfully[%s:%d]%lu %s:Start to Initialize NodeExecutor, type = %dCreate NodeExecutor failed for executor type = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][NodeExecutor] failed for executor type = %dParam:build_fn is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:build_fn]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][NodeExecutor] failed for engine type = %d[%s:%d]%lu %s:Executor of engine type = %d was created successfullyInitialize NodeExecutor failed for type = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Initialize][NodeExecutor] failed for type = %d[%s:%d]%lu %s:Initializing NodeExecutor successfully, type = %d[%s:%d]%lu %s:[%s] Set node executor by type: %d.ExecuteAsyncUpdateArgsFinalizeExecutorsGetOrCreateExecutorGetExecutorResolveExecutorTypeEnsureInitializedExecuteTaskFSt10unique_ptrIN2ge6hybrid12NodeExecutorESt14default_deleteIS2_EEvEN2ge6hybrid8NoOpTaskEN2ge6hybrid12NodeExecutorEPFSt10unique_ptrIN2ge6hybrid12NodeExecutorESt14default_deleteIS2_EEvEpartitioned_call_node_executor.cc[%s:%d]%lu %s:[%s] PartitionedCallNodeTask destroyed.tid:%lu [%s@%ld] [%s] [PartitionedCallPrepareTask] Starttid:%lu [%s] [PartitionedCallPrepareTask] Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][Task] failed for [%s].tid:%lu [%s@%ld] [%s] [PartitionedCallPrepareTask] Endtid:%lu [%s] [PartitionedCallPrepareTask] EndParam:subgraph_executor_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:subgraph_executor_]null is invalid[%s:%d]%lu %s:[%s] On subgraph callback[%s:%d]%lu %s:[%s] To release sub graph tensors.[%s:%d]%lu %s:[%s] Done releasing sub graph tensors.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][ExecuteAsync] failed for[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Register][Callback] failed for [%s][%s:%d]%lu %s:Load dynamic partitioned call: [%s]Param:partitioned_call is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:partitioned_call]null is invalid!node->GetOpDesc()->HasAttr(ATTR_NAME_FFTS_PLUS_SUB_GRAPH)[%s:%d]%lu %s:Done loading dynamic partitioned call: [%s]FftsPlus task is unsupported.PrepareTaskLoadTaskCallbackExecuteAsyncInit~PartitionedCallNodeTask*ZN2ge6hybrid23PartitionedCallNodeTask12ExecuteAsyncERNS0_11TaskContextERKSt8functionIFvvEEEUlvE_N2ge6hybrid23PartitionedCallNodeTaskEN2ge6hybrid27PartitionedCallNodeExecutorESt15_Sp_counted_ptrIPN2ge6hybrid23PartitionedCallNodeTaskELN9__gnu_cxx12_Lock_policyE2EErts_node_executor.cc[%s:%d]%lu %s:[%s] Done update args successfully.[%s:%d]%lu %s:NpuClearFloatStatusTask execute async start.ge::rtNpuClearFloatStatus(mode, context.GetStream())[%s:%d]%lu %s:[%s] Done executing successfully.[%s:%d]%lu %s:StartOfSequenceTask execute async start. logid = %luCall rtProfilerTraceEx failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtProfilerTraceEx] failed, ret:0x%X[%s:%d]%lu %s:[%s] StartOfSequenceTask[%lu] execute success.Param:model.GetRootGraph() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model.GetRootGraph()]null is invalid[%s:%d]%lu %s:NpuGetFloatStatusTask execute async start.rtMalloc(&args_, args_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpyAsync(args_, args_size, &output_addr, args_size, RT_MEMCPY_HOST_TO_DEVICE, context.GetStream())ge::rtNpuGetFloatStatus(args_, output->GetSize(), mode, context.GetStream())[%s:%d]%lu %s:[%s] index = %d, copy size = %ldrtMemcpyAsync(output->MutableData(), output->GetSize(), input->GetData(), static_cast(copy_size), kind_, context.GetStream())[%s:%d]%lu %s:[%s] index = %d, copy size = 0[%s:%d]%lu %s:[%s] Load for local task.[%s] Unsupported RTS op type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][Task] failed, as [%s] Unsupported RTS op type:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Profiling node has no task to execute.[%s:%d]%lu %s:ProfilingTraceTask execute async start. logid = %lu[%s:%d]%lu %s:ProfilerTraceNodeTask log id:%lu out of range.[%s:%d]%lu %s:[%s] ProfilingTraceTask[%lu] execute success.LoadTaskExecuteAsyncInitExecuteAsyncInitExecuteAsyncExecuteAsyncExecuteAsyncExecuteAsync~NpuGetFloatStatusTaskUpdateArgsInitDoCopyTensor*N2ge6hybridUlvE0_E*N2ge6hybridUlvE1_E*N2ge6hybridUlvE2_E*N2ge6hybridUlvE3_E*N2ge6hybridUlvE4_E*N2ge6hybridUlvE5_E*N2ge6hybridUlvE6_E*N2ge6hybridUlvE7_E*N2ge6hybridUlvE8_E*N2ge6hybridUlvE9_EN2ge6hybrid11RtsNodeTaskEN2ge6hybrid16IdentityNodeTaskEN2ge6hybrid17IdentityNNodeTaskEN2ge6hybrid19StartOfSequenceTaskEN2ge6hybrid21NpuGetFloatStatusTaskEN2ge6hybrid23NpuClearFloatStatusTaskEN2ge6hybrid22ProfilingTraceNodeTaskEN2ge6hybrid15RtsNodeExecutorESt15_Sp_counted_ptrIPN2ge6hybrid16IdentityNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid17IdentityNNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid22ProfilingTraceNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid19StartOfSequenceTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid21NpuGetFloatStatusTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid23NpuClearFloatStatusTaskELN9__gnu_cxx12_Lock_policyE2EErts_node_task.ccParam:in_x is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:in_x]null is invalid[%s:%d]%lu %s:[%s] ExecuteAsync Start, merge index: %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s(%s)] Invalid merge param, inputs num:%d, merge index:%d.Param:out_y is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:out_y]null is invalidrtMemcpyAsync(out_y->MutableData(), out_y->GetSize(), &idx, sizeof(idx), RT_MEMCPY_HOST_TO_DEVICE_EX, context.GetStream())Param:tensor_val is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_val]null is invalidParam:tensor_desc_in is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tensor_desc_in]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Data type %s not index type.Param:comp_func_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:comp_func_]null is invalid[%s:%d]%lu %s:[%s] Done executing successfully, pred value: %ld, comp value: %ld, switch index: %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s of op:%s(%s) failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] node:%s(%s) Get Condition: %u handle failed.[%s:%d]%lu %s:[%s] Done initialization successfully, condition is %u.ExecuteAsyncExecuteAsyncExecuteAsyncExecuteAsyncExecuteAsyncExecuteAsyncInitExecuteAsyncUpdateArgsInitCopyScalarValueToHostGetScalarIndexValue*N12_GLOBAL__N_1UlllE_E*N12_GLOBAL__N_1UlllE0_E*N12_GLOBAL__N_1UlllE1_E*N12_GLOBAL__N_1UlllE2_E*N12_GLOBAL__N_1UlllE3_E*N12_GLOBAL__N_1UlllE4_E*N2ge6hybridUlvE5_E*N2ge6hybridUlvE6_E*N2ge6hybridUlvE7_E*N2ge6hybridUlvE8_E*N2ge6hybridUlvE9_E*N2ge6hybridUlvE10_E*N2ge6hybridUlvE11_E*N2ge6hybridUlvE12_E*N2ge6hybridUlvE13_E*N2ge6hybridUlvE14_E*N2ge6hybridUlvE15_E*N2ge6hybridUlvE16_E*N2ge6hybridUlvE17_EN2ge6hybrid20StreamActiveNodeTaskEN2ge6hybrid20StreamSwitchNodeTaskEN2ge6hybrid19StreamMergeNodeTaskEN2ge6hybrid19PassThroughNodeTaskEN2ge6hybrid16LabelSetNodeTaskEN2ge6hybrid17LabelGotoNodeTaskEN2ge6hybrid19LabelSwitchNodeTaskESt15_Sp_counted_ptrIPN2ge6hybrid20StreamActiveNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid20StreamSwitchNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid19StreamMergeNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid19PassThroughNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid16LabelSetNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid17LabelGotoNodeTaskELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6hybrid19LabelSwitchNodeTaskELN9__gnu_cxx12_Lock_policyE2EErts_task_factory.cc[%s:%d]%lu %s:Cannot find task type %s in inner map.[%s:%d]%lu %s:Register %s creator is null[%s:%d]%lu %s:Task %s creator already existRegisterCreatorCreatetask_context.cc[TensorDesc] DataType = , Format = , Shape = [_out_PropagateOutputs_in_[%s:%d]%lu %s:[%s] Start ReleaseWorkspace.Index out of range, check invalid. index = %d, num_inputs = %d, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]Index out of range. index = %d, num_inputs = %d, node:%s(%s)Index out of range, check invalid. index = %d, num_outputs = %d, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]Index out of range. index = %d, num_outputs = %d, node:%s(%s)Index:%d out of range, check invalid. number:%zu of workspaces_, node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]Index:%d out of range. number:%zu of workspaces_, node:%s(%s)Index:%d out of range, check invalid. num_inputs:%d node:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]Index:%d out of range. num_inputs:%d node:%s(%s)%s(%s) output index out of range check invalid. num_output = %d, index = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]%s(%s) output index out of range. num_output = %d, index = %d[%s:%d]%lu %s:Set %s:%d with tensor: %s[%s:%d]%lu %s:[%s] Callback is NULLRegisterCallback failed for [%s][%s:%d]%lu %s:[%s]'s [%d] output has been allocated[%s:%d]%lu %s:[%s] reuse output [%d] with output [%d], but [%d] has allocated, so reuse it.[%s:%d]%lu %s:[%s] Tensor of input[%d] released[%s:%d]%lu %s:[%s] Tensor of output[%d] releasedGet TensorSize failed, tensor:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorSize] failed, tensor:%s[%s:%d]%lu %s:size from tensor_desc == 0tensor:%s Allocate tensor failed, size: %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][workspace] failed for tensor:%s, size: %ld[%s:%d]%lu %s:[%s] TaskContext destroyed.[%s:%d]%lu %s:[%s] To create task context, input start = %d, num_inputs = %d, output start = %d, num_outputs = %d.NodeItem:%s(%s) not property initialized.input_start:%d or output_start:%d less than 0[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]NodeItem:%s(%s) not property initialized. input_start = %d, output_start = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][TaskContext] failed for [%s(%s)].Create TaskContext failed for [%s(%s)].node:%s(%s) Allocate workspace failed, size: %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][workspace] failed for node:%s(%s), size: %ldAllocate Workspace failed, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Allocate][Workspace] failed, size = %zu[%s:%d]%lu %s:[%s] Allocating workspace of size = %zu successfully[%s:%d]%lu %s:Get Node[%s] task id: %u, stream id: %u.[%s:%d]%lu %s:save profling task desc info size is %zu[%s:%d]%lu %s:To allocate output for node: %s. index = %d, tensor desc = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] %s(%s) output index out of range. num_output = %d, index = %d[%s:%d]%lu %s:already allocated as net output[%s:%d]%lu %s:source node of %s:%d = %s, op_type = %sParam:ref_tensor is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ref_tensor]null is invalid[%s:%d]%lu %s:[%s] reuse output [%d] with output [%d][%s:%d]%lu %s:[%s] Output[%d] is referenced to input[%d][%s:%d]%lu %s:Allocating output successfully. node: %s. index = %d, size = %zu[%s:%d]%lu %s:[%s] Node output[%d] is null.[%s:%d]%lu %s:Propagate output of node %s, output index = %d, dst node = %s, dst_input_index = %d, dst_input_offset = %d.[%s(%s)] input index out of range check invalid. index = %d, total input num = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size][%s(%s)] input index out of range. index = %d, total input num = %zuSaveProfilingTaskDescInfoReleaseOutputReleaseInputPropagateOutputsAllocateWorkspaceSetOutputAllocateOutputsAllocateOutputHasAllocatedAllocateTensorRegisterCallbackAllocateWorkspacesGetInputMutableWorkspaceMutableOutputGetOutputMutableInputCreateReleaseWorkspace~TaskContextkernel_utils.ccinput_desc[%s:%d]%lu %s:Shape kernel recoginze unknown shape.Ignore shape kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sparameter is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %sop_desc is null[%s:%d]%lu %s:invalid format, fmt: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sparameter invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sCalcTensorMemSize failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sInput datatype %d is not support .[%s:%d]%lu %s:Const real value Size:%zu, op_desc Shape Size:%ld, data_type:%s.[%s:%d]%lu %s:Const input data size is not equal with tensor desc shape[%s:%d]%lu %s:op:%s type: %s, dimension input size must be %zu, but get %zu inputs[%s:%d]%lu %s: ErrorNo: %u(%s) %sdim node is nullptr[%s:%d]%lu %s:Get parent const node[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sdim node must be const op[%s:%d]%lu %s: ErrorNo: %u(%s) %sdim data size is 0Param data:%s will overflow after multi[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] int32 overflow, data[%zu]:%ldOnly support DT_INT32 and DT_INT64. Input data_type:%s not support[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Only support DT_INT32 and DT_INT64. data_type:%s not support[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ShapeTensor] failed, ret:%u.New GeTensor failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[New][GeTensor] failedIsUnknownShapeCheckSizeForTransOpCheckFormatSupportedCheckDimensionNodeInfoConstructTensorDescWithDataConstructTensorDescWithDataConstructTensorDescWithDatarank_kernel.cc[%s:%d]%lu %s:KernelFactory::RegisterCreator: %s creator already exist[%s:%d]%lu %s:input node size must be %zuParam:input_shape is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_shape]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %smake_shared ge::GeTensor failedRegisterCreatorComputeFSt10shared_ptrIN2ge6KernelEEvEN2ge6KernelEN2ge10RankKernelEPFSt10shared_ptrIN2ge6KernelEEvESt15_Sp_counted_ptrIPN2ge10RankKernelELN9__gnu_cxx12_Lock_policyE2EEshape_kernel.cc[%s:%d]%lu %s:ShapeKernel in[%s:%d]%lu %s:Size check fail, inputs size:%zu, outputs size:%zu[%s:%d]%lu %s:Input shape is unknown, ignore shape kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sShape kernel construct tensor desc failed![%s:%d]%lu %s:Shape kernel successRegisterCreatorComputeN2ge11ShapeKernelESt15_Sp_counted_ptrIPN2ge11ShapeKernelELN9__gnu_cxx12_Lock_policyE2EEshape_n_kernel.cc[%s:%d]%lu %s:ShapeN kernel in[%s:%d]%lu %s:ShapeN kernel, input and output are not the same size. Input size:%zu, output size:%zu[%s:%d]%lu %s:Input %zu shape is unknown, ignore shape_n kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sShapeN kernel construct tensor desc failed, i:%zu[%s:%d]%lu %s:ShapeN kernel successRegisterCreatorComputeN2ge12ShapeNKernelESt15_Sp_counted_ptrIPN2ge12ShapeNKernelELN9__gnu_cxx12_Lock_policyE2EEsize_kernel.cc[%s:%d]%lu %s:SizeKernel in[%s:%d]%lu %s: ErrorNo: %u(%s) %snode:%s opdesc is null[%s:%d]%lu %s:SizeKernel input size check fail, GetInputsSize:%zu[%s:%d]%lu %s:Input shape is unknown, ignore size kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sint64 overflow![%s:%d]%lu %s: ErrorNo: %u(%s) %sSize kernel construct tensor desc fail.[%s:%d]%lu %s:Size kernel successRegisterCreatorComputeN2ge10SizeKernelESt15_Sp_counted_ptrIPN2ge10SizeKernelELN9__gnu_cxx12_Lock_policyE2EEgathershapes_kernel.ccaxes[%s:%d]%lu %s:GatherShapesKernel in[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet axes failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSize check fail, inputs size:%zu, outputs size:%zu, attr size:%zu[%s:%d]%lu %s:[GatherShapes kernel] Input shape is unknown, ignore shape kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sattr [axes] is invalid, axis is %zu in axes [%s:%d]%lu %s: ErrorNo: %u(%s) %sattr [axes] is invalid, axis[0] is %ld, axis[1] is %ld[%s:%d]%lu %s:[GatherShapes kernel] gathershapes has unknown rank, ignore shape kernel.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGatherShapes kernel construct tensor desc failed![%s:%d]%lu %s:GatherShapes kernel successRegisterCreatorCheckAxisSizeComputeN2ge18GatherShapesKernelESt15_Sp_counted_ptrIPN2ge18GatherShapesKernelELN9__gnu_cxx12_Lock_policyE2EE;_ o_0_p`! x4FL;4gܥyy}@;P;L0(@@"#ppĭpԲP P` \Z Z8Щ0@@@sPs Xh""qPqP`+ H, 0OZTZ[,\i0Pl@lpApBH~dhl KH0K|PD`$xp Ġ d>>P4`Ըx `<p F 0Ft$@P/`/p}},8T" OP/0OAAE@dFPGGH/@I/I` J `J@8KPK4LLLMR?@S?^d_cd y(\y(`ttP`X,ff,`p` Oܸ0Op`ppp33 pm`mDpXpRHR0@(|8 ` `4`H` \`Pp```p`````a$a8aLa0lapaa00b@Dbxbb c@df@gpgXglgP g` ghth@hPh i!xi@+HjP0k1l4Hl4\l9l@GmIp`L$qL4sNsOuVyd\zpz@~{x{_`aPb 8c`c d@LdЊdpd@eTePeeePf(hhpi jjjP k lkPkV>Pv@?@??0@@@pXGG0|HJN0RxS,TtTTlU`V$V@% W.|W=W QTXpXXm|YmYtZPZP`,px,,,d-x--- -0-@-P-..,.P@.d.x......./ /0,/pL/l// /P000D0 t0@0`1H111 1182022D334P55` 6 777`49X9 9@9 :X:p:p;@L;p;P;`<<=0,@l@lAAApBdB`xBBB C(CHCC@CC$D`D Dp D0EPDEEE\FFF0 G`#G$,H@(H)I *DI*IP+I`,(J1dK3K@5xL@6L@7L7$M@:xM:M;M<$N=XN?NAOBOCODDPExPFPGP@Jp?@BCtDPF<GЏHI4JȑJܑS<[\p\Ē@_p@`a\Pcg h<ktpuy8`|PЗ `Ԙ̙Xl 0`d0\pD 0@̛P`p0ШPpЩ̜PDpt@Pԝ`04Ȟ(pxؠ(@0\ppТ04PHPģ` p , @P l0p40tpС  $ ! #`#p##ԧ##$P$$$8$L%` %t0%@%P%`%Ĩp%ب%%0&8`&L&`&t'0(ȩ`)*Hp,xP.00ت2385h79ȫp;H>AD8ExF P0P(ShUV]8`t a@bԯ`c<0d|eef<0g|g`ijD@kl@pt lȳP` <|0X00 DP(``p@pĺ`p,@dH\p Ĭ@@@ ` Լ ` D | `  $P Կ X\pPP@$ `(0L00Xp44444458 6 7  8@09::>4@ @4pD@KUfpuDPw@TБpl Pl0x  dpP8L`t4PP $ p4@?PDEEFPJp`OpW`@0hhi@ijPPjot`u4Pvv$Pxdpx {p (Ј\0(P d@x` `<Pd@` @(h`@<p<Pd 0@p(lPd(<@T @`Tp0@00X`pp 0P 8TtL0@TD"+0p8@LJOO O0O,@OO STUD VtWW Y`Z0[\L`\|]@^P_`c|pfmpno$phqlz@{|l ~ @$@DtІPPXP$X ``0(`tТPP0пDX<0|P@\p@ &1PBYpae@fPnrv`\Ќ  d (p( Pp' 9 Uy\ 0! % &p`&&``'' '@h(( (@ 8)l))@)(X*P8*0>*0H0+Y+h,pt`,u-X--З-0,./ 0X0001|1 2P22 <31,4 A4`Y5f85ooo,p@ pT0ph@p|Pp`ppppp8qT@qhpq|rXrx`st0wd xyzP0|`~<PhpЃІTp< 0 p `D ЕX  И d x   p  `   h@x@<ЩPp LPx@P4HpPм,`@l0 \h (`P  D!`p!P"P"P#PP#P##,$x$ $%,..d/@/ 0``150 6`,6pt666687p7P77P8`D8p888009`h9p9:@:` h: ;<<p =`'x=1> 4>6$A`=\A`GB]B@C05@5P5`5p55@6:@:;;L<У=>D>>P?|?`?@@p@`CCDpXDpDFLF0DlEEpxFFF@|GHHHPPHXIlI J4JpJJJKKK0PK@dKPxK`HL\LpLL M0MpNxNO@|OOP0QlQ0QQQP$RSS $Tp#T8`M 8tM08M@8MP8M`8Mp8N8(N8dPBP`GP@KRK SOTSPUQ(UQHs0Ps]Ttbtr uu v`vTwwx xPxPe`epeeeeff(f$>8 >L0>`@>tP>p>>>>>>??(0?<@?P`?dp?x???????0@$@@8P@L`@`p@t@@@@@@@@A(A< AA0ADBBpC`DD,FK0MOx PPPPR(T`VPZ`ZP\40^@^bbb$c8cL c`0ct@cfh4Pixi@jpj j00kTpkxkkkk l0l@l(l@lTltlm m0m@mPulw0} Pl\б0l@,DX @tl Hxl $H0$\@$pP$$$$$%%  % 0%4@%&) .T./:::;; ;,0;@@;; <0PI``ItpIIIIIIpJJVV V V4VHV\VpWWLW`ss s@sPs`spszRx $,FJ w?;*3$"DH<8\$p..؎ԎЎ̎$Ȏ8ĎL`#t4Af I C4Af I C܎4Af I C4yHAG V CAF dCAHHH"BBD A(H0s (A ABBF D(A ABB2zPLRx  L$7njBBE B(D0A8OP 8A0A(B BBBI (,SOAD kAAG@XT"BBE A(A0D@y 0A(A BBBH H";BBB B(A0A8D` 8A0A(B BBBB @#BBB A(A0D@n 0A(A BBBF PtPBBD A(G0D (G ABBH W (A ABBK ,#dAC Gw F . 0%AAD Z DAK XDA H&AG o AH HP AC P A r.0. ..0. .(Tx&AAG0E AAH 4'|ՊBAD G0@  AABA 8d'BAA i ABP AAB$<'[wAj E A A @'BBE A(A0D@x 0A(A BBBA P(L#BBB B(D0A8G 8A0A(B BBBE d+BBB B(D0A8D`a 8A0A(B BBBD v 8A0A(B BBBH Hd0OAC HGN. 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