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trIPN2ge25NpuGetFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge25NpuGetFloatStatusTaskInfo10DistributeEv_ZN2ge25NpuGetFloatStatusTaskInfo14UpdateHostArgsERKSt6vectorImSaImEEPvm_ZNSt6vectorIPvSaIS0_EE17_M_realloc_insertIJRPhEEEvN9__gnu_cxx17__normal_iteratorIPS0_S2_EEDpOT__ZN2ge25NpuGetFloatStatusTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN2ge25NpuGetFloatStatusTaskInfo17ParseTaskRunParamERKN4domi7TaskDefEPNS_12DavinciModelERNS_12TaskRunParamE_ZTSN2ge25NpuGetFloatStatusTaskInfoE_ZTIN2ge25NpuGetFloatStatusTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge25NpuGetFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge25NpuGetFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge27NpuClearFloatStatusTaskInfoD2Ev_ZN2ge27NpuClearFloatStatusTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge27NpuClearFloatStatusTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge27NpuClearFloatStatusTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge27NpuClearFloatStatusTaskInfo10DistributeEv_ZN2ge27NpuClearFloatStatusTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN4domi41_NpuClearFloatStatusDef_default_instance_E_ZTSN2ge27NpuClearFloatStatusTaskInfoE_ZTIN2ge27NpuClearFloatStatusTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNK2ge16EndGraphTaskInfo9GetTaskIDEv_ZNK2ge16EndGraphTaskInfo11GetStreamIdEv_ZN2ge16EndGraphTaskInfoD2Ev_ZN2ge16EndGraphTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge16EndGraphTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge16EndGraphTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge16EndGraphTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN2ge16EndGraphTaskInfo10DistributeEvrtEndGraphExrtEndGraph_ZTSN2ge16EndGraphTaskInfoE_ZTIN2ge16EndGraphTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge19EventRecordTaskInfoD2Ev_ZN2ge19EventRecordTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge19EventRecordTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge19EventRecordTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge19EventRecordTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN4domi26_TaskDef_default_instance_E_ZN2ge19EventRecordTaskInfo10DistributeEvrtEventRecord_ZTSN2ge19EventRecordTaskInfoE_ZTIN2ge19EventRecordTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge17EventWaitTaskInfoD2Ev_ZN2ge17EventWaitTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge17EventWaitTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge17EventWaitTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge17EventWaitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge17EventWaitTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge17EventWaitTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge17EventWaitTaskInfoELN9__gnu_cxx12_Lock_policyE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N2ge19LabelGotoExTaskInfoD2Ev_ZN2ge19LabelGotoExTaskInfoD1Ev_ZN2ge19LabelGotoExTaskInfoD0Ev_ZN2ge19LabelGotoExTaskInfo10DistributeEvrtLabelSwitchByIndex_ZN2ge19LabelGotoExTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN4domi33_LabelGotoExDef_default_instance_E_ZTSN2ge19LabelGotoExTaskInfoE_ZTIN2ge19LabelGotoExTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge19LabelGotoExTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge19LabelGotoExTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge16LabelSetTaskInfoD2Ev_ZN2ge16LabelSetTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge16LabelSetTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge16LabelSetTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge16LabelSetTaskInfo10DistributeEvrtLabelSet_ZN2ge16LabelSetTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN4domi30_LabelSetDef_default_instance_E_ZTSN2ge16LabelSetTaskInfoE_ZTIN2ge16LabelSetTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNK2ge26LabelSwitchByIndexTaskInfo12ParseOpIndexERKN4domi7TaskDefE_ZN4domi40_LabelSwitchByIndexDef_default_instance_E_ZNSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZNSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZNSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge26LabelSwitchByIndexTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge26LabelSwitchByIndexTaskInfoD2Ev_ZN2ge26LabelSwitchByIndexTaskInfoD1Ev_ZN2ge26LabelSwitchByIndexTaskInfoD0Ev_ZN2ge26LabelSwitchByIndexTaskInfo10DistributeEv_ZN2ge26LabelSwitchByIndexTaskInfo14InitIndexValueERKNS_12DavinciModelERKNS_8IowAddrsE_ZN2ge26LabelSwitchByIndexTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN2ge27ATTR_NAME_LABEL_SWITCH_LISTE_ZN2ge26LabelSwitchByIndexTaskInfo17ParseTaskRunParamERKN4domi7TaskDefEPNS_12DavinciModelERNS_12TaskRunParamE_ZN4domi21LabelSwitchByIndexDefC1ERKS0__ZN4domi21LabelSwitchByIndexDefD1Ev_ZN2ge23STREAM_SWITCH_INPUT_NUME_ZTSN2ge26LabelSwitchByIndexTaskInfoE_ZTIN2ge26LabelSwitchByIndexTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNK2ge23MemcpyAddrAsyncTaskInfo12ParseOpIndexERKN4domi7TaskDefE_ZN4domi33_MemcpyAsyncDef_default_instance_E_ZNSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZNSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2ge23MemcpyAddrAsyncTaskInfo23GetTaskArgsRefreshInfosERSt6vectorINS_19TaskArgsRefreshInfoESaIS2_EE_ZTVN2ge23MemcpyAddrAsyncTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge23MemcpyAddrAsyncTaskInfoD0Ev_ZN2ge23MemcpyAddrAsyncTaskInfoD2Ev_ZN2ge23MemcpyAddrAsyncTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge23MemcpyAddrAsyncTaskInfo14UpdateHostArgsERKSt6vectorImSaImEEPvm_ZN2ge23MemcpyAddrAsyncTaskInfo16SetArgsAlignProcERKSt5arrayINS_13ArgAddrAndLenELm4EERKSt10shared_ptrINS_6OpDescEE_ZN2ge23MemcpyAddrAsyncTaskInfo10SetIoAddrsERKNS_8IowAddrsE_ZN2ge23MemcpyAddrAsyncTaskInfo9SetQosCfgERKSt10shared_ptrINS_6OpDescEE_ZN2ge23MemcpyAddrAsyncTaskInfo10DistributeEvrtMemcpyAsyncPtr_ZN2ge23MemcpyAddrAsyncTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN2ge23MemcpyAddrAsyncTaskInfo17ParseTaskRunParamERKN4domi7TaskDefEPNS_12DavinciModelERNS_12TaskRunParamE_ZTSN2ge23MemcpyAddrAsyncTaskInfoE_ZTIN2ge23MemcpyAddrAsyncTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge19MemcpyAsyncTaskInfo10GetMemTypeEv_ZNK2ge19MemcpyAsyncTaskInfo12ParseOpIndexERKN4domi7TaskDefE_ZNSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZNSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZN2ge19MemcpyAsyncTaskInfo23GetTaskArgsRefreshInfosERSt6vectorINS_19TaskArgsRefreshInfoESaIS2_EE_ZTVN2ge19MemcpyAsyncTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge19MemcpyAsyncTaskInfoD0Ev_ZN2ge19MemcpyAsyncTaskInfoD2Ev_ZN2ge19MemcpyAsyncTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge19MemcpyAsyncTaskInfo14UpdateHostArgsERKSt6vectorImSaImEEPvm_ZN2ge19MemcpyAsyncTaskInfo9SetQosCfgERKSt10shared_ptrINS_6OpDescEE_ZN2ge19MemcpyAsyncTaskInfo10DistributeEv_ZN2ge19MemcpyAsyncTaskInfo10SetIoAddrsERKNS_8IowAddrsE_ZN2ge19MemcpyAsyncTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN2ge19MemcpyAsyncTaskInfo17ParseTaskRunParamERKN4domi7TaskDefEPNS_12DavinciModelERNS_12TaskRunParamE_ZTSN2ge19MemcpyAsyncTaskInfoE_ZTIN2ge19MemcpyAsyncTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge17ModelExitTaskInfoD2Ev_ZN2ge17ModelExitTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge17ModelExitTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge17ModelExitTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge17ModelExitTaskInfo10DistributeEvrtModelExit_ZN2ge17ModelExitTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZTSN2ge17ModelExitTaskInfoE_ZTIN2ge17ModelExitTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge21ProfilerTraceTaskInfoD2Ev_ZN2ge21ProfilerTraceTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge21ProfilerTraceTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge21ProfilerTraceTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge21ProfilerTraceTaskInfo10DistributeEv_ZN2ge21ProfilerTraceTaskInfo4InitERKN4domi7TaskDefEPNS_12DavinciModelERKSt5arrayINS_13ArgAddrAndLenELm4EESB_RKNS_8IowAddrsE_ZN4domi34_LogTimeStampDef_default_instance_E_ZTSN2ge21ProfilerTraceTaskInfoE_ZTIN2ge21ProfilerTraceTaskInfoE_ZTSSt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZTISt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZN2ge20StreamActiveTaskInfoD2Ev_ZN2ge20StreamActiveTaskInfoD1Ev_ZNSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EED2Ev_ZNSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EED1Ev_ZNSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EE14_M_get_deleterERKSt9type_info_ZN2ge20StreamActiveTaskInfoD0Ev_ZNSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EED0Ev_ZNSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_destroyEv_ZTVN2ge20StreamActiveTaskInfoE_ZTVSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EE_ZNSt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EE10_M_disposeEv_ZN2ge20StreamActiveTas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overflow.ge.exec.atomicCleanPolicyge.exec.memoryOptimizationPolicyge.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.shape_generalized_build_modege.jit_compilege.exec.modify_mixlistge.exec.op_precision_modege.exec.allow_hf32ge.exec.opWaitTimeoutge.exec.opExecuteTimeoutge.externalWeightge.deterministicge.quant_dumpablege.experiment.quant_bias_optimizeinput_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_layoutoutputenable_scope_fusion_passesinput_data_namescompress_weight_confge.enableSingleStreamge.op_dependency_in_omsuccessFailed 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 valid so file!Failed to find any function!Failed to invoke any function!Parameter unsupported!Out of memory!GEInitialize Failed.GEFinalize Failed.Session constructor Failed.Session destructor Failed.Session AddGraph Failed.Session AddGraph Failed converting protobuf GraphProto.Session RemoveGraph Failed.Session RunGraph Failed.Session RunGraph Failed converting protobuf TensorProto.GE is already initialized.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.Failed to initialize session.Session already running,not support parallel run.Graph ID not exist.Graph ID already exist.Graph is running.Can not find session with specific session id.Session manager has not been initialized.Failed to initialize graph.graph already running,not support parallel run.graph ID not exist.Graph malloc failed.Graph FREE failed.Graph FREE failed, not malloc buffer.Graph param is NULL.Get computeGraph by graphNode failed.Run graph node is null.Graph which insert dynamic op failed.Graph preprocess failed.Graph fusion failed.Calibration failed.Graph partition success, but subGraph num is 0.Graph subGraph engine name is repeated.OME GetInputOutputDescInfo 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.Prepare Graph infershape failedRunGraph input compute graph is NULL.Graph SyncExecuteModel failed.Graph RunGraph failed.Parse dynamic node config file failedSave model with multiple sub graphGraph get graph node failed.Graph do not init.input graph is nulltopological sorting an partition failedaccessing an empty partitionunsupported feature in partitionassign engine failedadd placeholder end node failedParse out node failed.OMG parse dynamic node config file failed.OMG Save Weights to Model failed.Empty string name.Empty variable-tensor table.Variable already exist.Variable does not exist.Client session options is invalid.No output desc info.Number of output descinfo and tensor mismatch.Graph Save Model fileNamePrefix is invalid.Graph is not compiled.Graph SaveModel failed.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.Failed to run variable pass.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.Failed to initialize engine.Engine finalize failed.Memory type HBM is necessary when engine is in deviceFailed to initialize OpsKernelInfoStore.Failed to initialize GraphOptimizer.OpsKernelInfo not exist.OpsKernelInfoStore not exist.Failed to CalcOpRunningParam.Failed to GenerateTask.Failed to OptimizeOriginalGraph.Failed to OptimizeFusedGraph.Engine is not registered.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.device id is invalidset device failed, device not readymalloc memory failedmodel has not been loadedmodel excute failedcce create handle failedcce set stream failedcall 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 set failedcall runtime lable goto failedcall runtime lable switch failedcall runtime mem alloc managed failedcall runtime mem free managed failedcall runtime free failedcall runtime sync stream failedcall runtime model excute failedcall runtime mem async 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 faileddestory stream faileddestory label faileddestory model failedcall cce transfer tensor descriptor failedcall cce transfer filter descriptor failedcall cce update kernel args faileddestory handle 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 faileddestory rt event failedcall hccl hcom reduce scatter failedGE Executor is not yet initialized.Model file path is invalid.Key file path of model is invalid.Model id is invalid.Data size of model is invalid.Partition number of model is invalid.Queue id of model is invalid.Model does not support encryption.Failed to read model file.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 AIPP is not exist.GE Dynamic AIPP is not support to query temporarily.Failed to allocate P2P memoryGraph 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!kv cache not exit!repeat request!request already complete!parameter is invalid!llm engine finalized!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!cluster num exceed limit!link is current processing, try again later!device out of memory!Prefix has already existed.Prefix does not exist.Sequence length exceed limit.No free block.Block is out of memory.CaffeMindSporeTensorFlow3Android_NN4OnnxAI_COREAIVMIX_AICMIX_AIVAI_CPUDSAWRITE_BACKINVALIDTASK_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.graphSliceModetnhb\LF@:4.("zRZN15ascend_nlohmann16json_abi_v3_11_26detail9exceptionEN15ascend_nlohmann16json_abi_v3_11_26detail11parse_errorEN15ascend_nlohmann16json_abi_v3_11_26detail16invalid_iteratorEN15ascend_nlohmann16json_abi_v3_11_26detail10type_errorEN15ascend_nlohmann16json_abi_v3_11_26detail12out_of_rangeESetOpMappingLoopAddrvoid ascend_nlohmann::json_abi_v3_11_2::basic_json::assert_invariant(bool) const [with ObjectType = std::map; ArrayType = std::vector; StringType = std::basic_string; BooleanType = bool; NumberIntegerType = long int; NumberUnsignedType = long unsigned int; NumberFloatType = double; AllocatorType = std::allocator; JSONSerializer = ascend_nlohmann::json_abi_v3_11_2::adl_serializer; BinaryType = std::vector]SaveDumpInputSetWorkSpaceAddrGenerateOutputDumpRefOutputGenerateInputDumpRefInputvoid ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::set_end() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]PrintCheckLogascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator*() const [with BasicJsonType = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>&]bool ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator==(const IterImpl&) const [with IterImpl = ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl >; typename std::enable_if<(std::is_same >::value || std::is_same::value, typename std::remove_const<_Tp>::type, const ProtoType>::type> >::value), std::nullptr_t>::type = nullptr; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator*() const [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::reference = ascend_nlohmann::json_abi_v3_11_2::basic_json<>&]static ge::TypeID ge::TypeID::Of() [with T = std::vector]SaveDumpTaskstd::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = double&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = bool&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = long int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = std::basic_string&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = long unsigned int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = ascend_nlohmann::json_abi_v3_11_2::detail::value_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = bool&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::key(ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::string_t&) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::string_t = std::basic_string]ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type ascend_nlohmann::json_abi_v3_11_2::detail::lexer::scan_number() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type = ascend_nlohmann::json_abi_v3_11_2::detail::lexer_base >::token_type]void ascend_nlohmann::json_abi_v3_11_2::detail::lexer::unget() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]int ascend_nlohmann::json_abi_v3_11_2::detail::lexer::get_codepoint() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >] bool ascend_nlohmann::json_abi_v3_11_2::detail::lexer::next_byte_in_range(std::initializer_list::int_type>) [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; typename std::char_traits::int_type = int]ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type ascend_nlohmann::json_abi_v3_11_2::detail::lexer::scan_string() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >; ascend_nlohmann::json_abi_v3_11_2::detail::lexer::token_type = ascend_nlohmann::json_abi_v3_11_2::detail::lexer_base >::token_type]falsebool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_acceptor >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = ascend_nlohmann::json_abi_v3_11_2::detail::value_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::end_object() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::end_array() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = double&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = std::nullptr_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = long int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = std::basic_string&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]BasicJsonType* ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser::handle_value(Value&&) [with Value = long unsigned int&; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_parser >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::end_array() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::end_object() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::operator->() const [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer = ascend_nlohmann::json_abi_v3_11_2::basic_json<>*]std::pair ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser::handle_value(Value&&, bool) [with Value = std::nullptr_t; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>]bool ascend_nlohmann::json_abi_v3_11_2::detail::parser::sax_parse_internal(SAX*) [with SAX = ascend_nlohmann::json_abi_v3_11_2::detail::json_sax_dom_callback_parser >; BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::iter_impl(ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer) [with BasicJsonType = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>; ascend_nlohmann::json_abi_v3_11_2::detail::iter_impl::pointer = const ascend_nlohmann::json_abi_v3_11_2::basic_json<>*]static char ascend_nlohmann::json_abi_v3_11_2::detail::lexer::get_decimal_point() [with BasicJsonType = ascend_nlohmann::json_abi_v3_11_2::basic_json<>; InputAdapterType = ascend_nlohmann::json_abi_v3_11_2::detail::iterator_input_adapter<__gnu_cxx::__normal_iterator > >]GetOffsetFromJson~DataDumperDumpOutputWithRawAddressDumpOutputWithTaskDumpOutputDumpInputWithRawAddressDumpInputDumpContextGenerateOpBufferExecuteLoadDumpInfoExecuteUnLoadDumpInfoReLoadDumpInfoUnloadDumpInfoByModelDumpWorkspaceBuildTaskInfoSetEndGraphIdToAicpuSetOpDebugIdToAicpuLoadDumpInfoUnloadDumpInfoCHECK failed: initial_value != NULL: iterator does not fit current valueiterator out of rangecannot use erase() with m_type != value_t::object || m_value.object != nullptrm_type != value_t::array || m_value.array != nullptrm_type != value_t::string || m_value.string != nullptrm_type != value_t::binary || m_value.binary != nullptrtype_errorparse_error at line , column parse errorout_of_rangeinvalid_iterator!ref_stack.empty()type must be number, but is !keep_stack.empty()ref_stack.back()->is_array() || ref_stack.back()->is_object()!key_keep_stack.empty()object_elementfalseinvalid number; expected digit after '-'invalid number; expected digit after '.'invalid number; expected '+', '-', or digit after exponentinvalid number; expected digit after exponent sign!token_string.empty()endptr == token_buffer.data() + token_buffer.size()current == '\"'invalid string: missing closing quoteinvalid string: '\u' must be followed by 4 hex digitsinvalid string: surrogate U+D800..U+DBFF must be followed by U+DC00..U+DFFF0x00 <= codepoint && codepoint <= 0x10FFFFinvalid string: surrogate U+DC00..U+DFFF must follow U+D800..U+DBFFinvalid string: forbidden character after backslashinvalid string: control character U+0000 (NUL) must be escaped to \u0000invalid string: control character U+0001 (SOH) must be escaped to \u0001invalid string: control character U+0002 (STX) must be escaped to \u0002invalid string: control character U+0003 (ETX) must be escaped to \u0003invalid string: control character U+0004 (EOT) must be escaped to \u0004invalid string: control character U+0005 (ENQ) must be escaped to \u0005invalid string: control character U+0006 (ACK) must be escaped to \u0006invalid string: control character U+0007 (BEL) must be escaped to \u0007invalid string: control character U+0008 (BS) must be escaped to \u0008 or \binvalid string: control character U+0009 (HT) must be escaped to \u0009 or \tinvalid string: control character U+000A (LF) must be escaped to \u000A or \ninvalid string: control character U+000B (VT) must be escaped to \u000Binvalid string: control character U+000C (FF) must be escaped to \u000C or \finvalid string: control character U+000D (CR) must be escaped to \u000D or \rinvalid string: control character U+000E (SO) must be escaped to \u000Einvalid string: control character U+000F (SI) must be escaped to \u000Finvalid string: control character U+0010 (DLE) must be escaped to \u0010invalid string: control character U+0011 (DC1) must be escaped to \u0011invalid string: control character U+0012 (DC2) must be escaped to \u0012invalid string: control character U+0013 (DC3) must be escaped to \u0013invalid string: control character U+0014 (DC4) must be escaped to \u0014invalid string: control character U+0015 (NAK) must be escaped to \u0015invalid string: control character U+0016 (SYN) must be escaped to \u0016invalid string: control character U+0017 (ETB) must be escaped to \u0017invalid string: control character U+0018 (CAN) must be escaped to \u0018invalid string: control character U+0019 (EM) must be escaped to \u0019invalid string: control character U+001A (SUB) must be escaped to \u001Ainvalid string: control character U+001B (ESC) must be escaped to \u001Binvalid string: control character U+001C (FS) must be escaped to \u001Cinvalid string: control character U+001D (GS) must be escaped to \u001Dinvalid string: control character U+001E (RS) must be escaped to \u001Einvalid string: control character U+001F (US) must be escaped to \u001Fcurrent == 'u'0x0000 <= codepoint && codepoint <= 0xFFFFranges.size() == 2 || ranges.size() == 4 || ranges.size() == 6invalid string: ill-formed UTF-8 byteinvalid BOM; must be 0xEF 0xBB 0xBF if giveninvalid comment; missing closing '*/'invalid comment; expecting '/' or '*' after '/'invalid literaltrue literalfalse literalnull literalstring literalnumber literal'[''{'']''}'':'','unknown tokenend of input'[', '{', or a literalsyntax error while parsing - ; last read: 'unexpected ; expected object keyobject separatornumber overflow parsing 'value!states.empty()ref_stack.back()->is_array()[json.exception.] m_object != nullptrobjectarraystringbooleanbinarydiscardednumbercannot use operator[] with a numeric argument with m_it.object_iterator != m_object->m_value.object->end()m_it.array_iterator != m_object->m_value.array->end()cannot get valuecannot compare iterators of different containersvector::reservevector::_M_insert_auxvector::_M_realloc_insertdata_dumper.cc[%s:%d]%lu %s:step_id exists.[%s:%d]%lu %s:loop_per_iter exists.[%s:%d]%lu %s:loop_cond exists.basic_string::substr%s: __pos (which is %zu) > this->size() (which is %zu)input[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OpDesc] input op desc is null.[%s:%d]%lu %s:workspace_info addr is: %lu. %luvector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)CHECK failed: (total_size_) > (0): Get tensor size fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputSize] failed[%s:%d]%lu %s:Get output size in dump is %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].Param: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][Param] Op [%s] output desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s], cannot find redirect node[%s].Param:replace_opdesc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:replace_opdesc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op [%s] output desc[%zu] cannot find any saved redirect node[%s]'s info.Param:iter->second is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:iter->second]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Generate][Output] failed for %s, index:%zu[%s:%d]%lu %s:Op [%s] output desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu][%s:%d]%lu %s:Get aipp input size according to attr is %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorSize] failed[%s:%d]%lu %s:Get input size in dump is %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ParseNameIndex] Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op [%s] input desc[%zu] with invalid ATTR_DATA_DUMP_REF attr[%s], cannot find redirect node[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op [%s] input desc[%zu] cannot find any saved redirect node[%s]'s info.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Generate][Input] failed for %s, index:%zu[%s:%d]%lu %s:Op [%s] input desc[%zu] dump info is replaced by node[%s] [%s] tensor_desc [%zu][%s:%d]%lu %s:%zu op need dump in known shape model %s.[[%s:%d]%lu %s:Model %s will not be set to dump, dump list: %s[%s:%d]%lu %s:Op %s set to dump but not exist in model %s or not a valid op.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Opdesc is nullptrcurrent_context_id[%s:%d]%lu %s:Save dump task %s, task id: %u, stream id: %u, context id: %u, thread id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] data_op is null.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputDescPtr] input_tensor in op:%s is null, index:%d, size:%zu.[%s:%d]%lu %s:Get aipp data size according to attr is %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputSize] failed in %s, index:%u[%s:%d]%lu %s:Save input dump task %s, id: %u,stream id :%u,data size :%ldDSAGenBitMaskDSARandomNormalDSARandomTruncatedNormalDSARandomUniform_sgt_json_info_sgt_struct_info_sgt_struct_info_dyNPUHOST_CPUUDFPSlowerhigherloc != nullptr(ascend_nlohmann::json::accept(ffts_str))Assert %s failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sAssert %s failed(!slice_info_json.is_null())input_tensor_slice(input_tensor_slice != slice_info_json.end())output_tensor_slice(output_tensor_slice != slice_info_json.end())(shape_size >= 0)task_addr_offset[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtFree failed, error: %#x[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s][%ld] is less than[%s][%ld]offset + output_descs.size()inner_dump_info.address.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] DumpOutputWithTask[%s], output size[%zu], output memory type size[%zu][%s:%d]%lu %s:Node[%s] output[index:%zu] [name:%s] is an optional output, don't need to dump this output.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The number of output does not match in op:%s(%s). The size[%zu] of output which is no need to dump should not greater than the size[%zu] of output descs minus the size[%zu] of output which is need to dump.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][RefOutput] failed[%s:%d]%lu %s:[L1Fusion] DumpOutputWithTask[%s] output[%zu] is l1 addr.Get output tensor size fail in op:%s(%s), index:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputSize] failed in %s, index:%zu[%s:%d]%lu %s:Get output size of l1_fusion_dump is %ld[%s:%d]%lu %s:Skip to dump op [%s] output idx [%zu][%s:%d]%lu %s:Dump op [%s] output[%zu], args_begin:[%lx] offset_addr:[%lx][%s:%d]%lu %s:Start dump output.output_desc tensor is nullptr in op:%s(%s), index:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputDescPtr] output_tensor is null in op:%s, index:%d, size:%zu.output_anchor_index:%u >= output addr size:%zu in op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] output_anchor_index:%u >= output addr size:%zu in op:%s(%s)[%s:%d]%lu %s:Start dump input.input_descs.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Generate][Input] failed for op:%s, index:%zuinput_desc size:%zu != input addr size:%zu in op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid input desc addrs size %zu, op %s has %zu input desc.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] DumpInput[%s], input size[%zu], input memory type size[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][RefInput] failed, node name index:%s[%s:%d]%lu %s:[L1Fusion] DumpInput[%s] input[%zu] is l1 addrGet input tensor size fail in op:%s(%s), index:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputTensorSize] fail in op:%s(%s), index:%zu[%s:%d]%lu %s:Get input size of l1_fusion_dump is %ld[%s:%d]%lu %s:Skip to dump op [%s] input idx [%zu][%s:%d]%lu %s:Dump op [%s] input[%zu], args_begin:[%lx] offset_addr:[%lx][input addr: 0x, size: 0x[output addr: 0x[%s:%d]%lu %s:Op %s add context with task id %u steam id %u context id %u thread id %u, input num %u, output num %u, address info %s[%s:%d]%lu %s:Generate op buffer succsess.Serialize proto to std::string fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][SerializeToString] failed, proto size %zu.[%s:%d]%lu %s:dev_mem_load_ has been used.Call rtMalloc failed, size:%zu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMalloc] failed, size:%zu, ret:0x%XrtMalloc[%s:%d]%lu %s:MallocMemory, func=%s, size=%lu, purpose=%sload dump information.Call rtMemcpy failed, size:%zu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMemcpy] failed, size:%zu, ret:0x%XCall rtDatadumpInfoLoad failed, length:%zu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtDatadumpInfoLoad] failed, length:%zu, ret:0x%X[%s:%d]%lu %s:LoadDumpInfo success, proto size is: %zu.[%s:%d]%lu %s:dev_mem_unload_ has been used.unload dump information.[%s:%d]%lu %s:UnloadDumpInfo success, proto size is: %zu.[%s:%d]%lu %s:No information saved when loading model[%u].[%s:%d]%lu %s:ReLoadDumpInfo enter, model id %u.[%s:%d]%lu %s:Load the task for the same model[%u] more than once./[Execute][ReLoadDumpInfo] failed, ret:%u((ret) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s%s((ret) && (proto_size != 0U))[%s:%d]%lu %s:dev_mem_unload_for_model_ has been used.(rtMalloc(&dev_mem_unload_for_model_, proto_size, (0x2U), static_cast(GE)) == RT_ERROR_NONE)(rtMemcpy(dev_mem_unload_for_model_, proto_size, proto_str.c_str(), proto_size, RT_MEMCPY_HOST_TO_DEVICE) == RT_ERROR_NONE)(rtDatadumpInfoLoad(dev_mem_unload_for_model_, static_cast(proto_size)) == RT_ERROR_NONE)[%s:%d]%lu %s:Clear dump info for model %u successfully.[%s:%d]%lu %s:workspace_info addr_size is: %zu %lu[%s:%d]%lu %s:Op %s in model begin to add task in op_mapping_info.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][Output] failed, ret:%u, op:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][Input] failed, ret:%u, op:%sall[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][Output] failed when in dumping all, ret:%u, op:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dump][Input] failed when in dumping all, ret:%u, op:%sCHECK failed: value != nullptr: [%s:%d]%lu %s:Add end_graph_info to aicpu, model_name is %s, task_id is %u, stream_id is %u[%s:%d]%lu %s:Add end_graph_info to aicpu, task_id is %u, stream_id is %u[%s:%d]%lu %s:add op_debug_info to aicpu, task_id is %u, stream_id is %u.[%s:%d]%lu %s:Dump model name is %s.[%s:%d]%lu %s:op_list_ is empty[%s:%d]%lu %s:Set model name and model id for model.stats[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Build][TaskInfo] failed, ret:%u, path:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][LoadDumpInfo] failed, ret:%u[%s:%d]%lu %s:UnloadDumpInfo start, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][UnLoadDumpInfo] failed, ret:%dN2ge10AttrHolderEGetAippInfoGetAippTypeGetOrigInputInfoGetAllAippInputOutputDimsParseAIPPInfoSetAippTypeImplSetOrigInputInfoSetAippInputOutputInfoFromOpDescSetAippInfoImplSetAippInfoAndTypeFromOpDesc, basic_string::_S_construct null not validaipp_utils.cc[%s:%d]%lu %s:There is not AIPP related info with index:%u[%s:%d]%lu %s:There is not AIPP releated type with index:%u, return default value.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Get index:%u from orig_input_info_map fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Get index:%u from aipp_dims_info fail[%s:%d]%lu %s:ParseAIPPInfo: origin str: %sin_out_info:%s size:%zu != kAippInfoNum:%u check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] in_out_info:%s size:%zu != kAippInfoNum:%uGet invalid mode:%s, op:%s, type:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr]Get invalid mode:%s, op:%s, type:%s.Failed to get attr:%s, op:%s, type:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr]Failed to get attr:%s, op:%s, type:%s.[%s:%d]%lu %s:Find AippData:%s of index:%zu for op:%s, index:%uCan not find AippData node for index:%u, op:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Find][AippData]Can not find AippData node for index:%u, op:%s[%s:%d]%lu %s:origin input str: %s.[%s:%d]%lu %s:there is not AIPP related with index %u, node: %s.[%s:%d]%lu %s:Data: %s has %zu related aippInfo.[%s:%d]%lu %s:Aipp origin input dims info: %sParam:data_input_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:data_input_desc]null is invalid[%s:%d]%lu %s:Related Data[%d]: tensor_name: %s, dim_num: %zu, tensor_size: %zu, format: %s, data_type: %s, shape: %s.[%s:%d]%lu %s:Aipp output dims info: %sstatic_aippdynamic_aippdynamic_aipp_confFailed to convert aipp params, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Convert][AippParams] Failed to convert aipp params, op:%s.[%s:%d]%lu %s:Add aipp info for node:%s, type:%s, current index:%u, current node related input rank:%uFailed to convert params to info, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Convert][AippInfo]Failed to convert params to info, op:%s.ATTR_DATA_RELATED_AIPP_MODEATTR_NAME_AIPPParam: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:There is not AIPP related with op:%s, index:%u.Both ATTR_NAME_AIPP and ATTR_DATA_RELATED_AIPP_MODE attributes are needed on the data node, but only is obtained at the time.Op:%s, index:%u, error message:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attrs]Op:%s, index:%u, error message:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][AippInfo]Failed to set aipp info, op:%s, index:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][AippType]Failed to set aipp type, op:%s, index:%u.FbPKN2ge5BlockES2_EN2ge16CachingAllocatorEPFbPKN2ge5BlockES2_EPrintCountBlockComparator @FreeBlockBinsSplitBlockAddToBlockBinFreeBlockFreeFreeCachedBlocksFreeBlocksInitializePrintStaticsTryFreeBlocksFreeBlocksAfterSynchronizeTryExtendCacheFindFreeBlockMalloccaching_allocator.cc[%s:%d]%lu %s:%6s total[size:%11zu count:%11zu].[%s:%d]%lu %s: |- block[size:%11zu count:%11zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s] must not be null.leftright[%s:%d]%lu %s:Free block bins.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][Block] failed, size:%zu, device_id:%uNew Block fail, size:%zu, device_id:%uGetBlockBin fail, size:%zu, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][BlockBin] failed, size:%zu, device_id:%u[%s:%d]%lu %s:Block size = %zu[%s:%d]%lu %s:Free block size = %zu[%s:%d]%lu %s:Free device id = %uParam memory_addr is nullptr, device_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid memory pointer, device_id:%uParam ptr not allocated before, device_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Param ptr not allocated before, device_id:%u[%s:%d]%lu %s:Free cached blocks[%s:%d]%lu %s:Free blocks.New BlockBin fail, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][BlockBin] failed, device_id:%uMalloc[%s:%d]%lu %s:Called counts[malloc:%11zu free:%11zu].UsingFree[%s:%d]%lu %s:Try free blocks.[%s:%d]%lu %s:Stream synchronize and try free blocks! stream: %p.rtStreamSynchronize(stream)[%s:%d]%lu %s:Try to extend cache. size = %zu, device id = %uMemory for caching[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed, no enough memory for size = %zu, device_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to apply for memory. We will try to free memory from memory pool, the above error log can be ignored. Try to free cached memory...[%s:%d]%lu %s:Find block size = %zu[%s:%d]%lu %s:Malloc device id = %u, size= %zu[%s:%d]%lu %s:Start malloc pool memory, size = %zu, device id = %uFindFreeBlock fail, size:%zu, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] FindFreeBlock failed device id = %u, size= %zuSetAllocatorManagerReleaseResourceGetMemoryAddrGetAllocatorFreeMemoryInitializeFinalizeFreeMemoryMallocMemoryMallocMemorygraph_mem_allocator.cc[%s:%d]%lu %s:SetAllocatorManager memory_type = %u.[%s:%d]%lu %s:ReleaseResource success memory_type = %u device_id =%u.[%s:%d]%lu %s:MemoryAllocator::GetMemoryAddr failed, device_id not exist, device_id = %u.[%s:%d]%lu %s:MemoryAllocator::GetMemoryAddr failed, memory_key[%s] was not exist, device_id = %u.[%s:%d]%lu %s:GetAllocator success memory_type = %u device_id =%u.[%s:%d]%lu %s:MemoryAllocator::FreeMemory device_id = %u.[%s:%d]%lu %s:Can't Find block memory addr device_id = %urtFree(memory_addr)[%s:%d]%lu %s:MemoryAllocator::Initialize.[%s:%d]%lu %s:Initialize: FreeMemory failed[%s:%d]%lu %s:Finalize: FreeMemory failed[%s:%d]%lu %s:MemoryAllocator::FreeMemory failed, device_id not exist, device_id = %u.[%s:%d]%lu %s:MemoryAllocator::FreeMemory failed,memory_key[%s] was not exist, device_id = %u.[%s:%d]%lu %s:MemoryAllocator::FreeMemory memory_key[%s] should not be released, reference count %dFree Memory fail, memory_key:%s, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Free][Memory] failed, memory_key[%s], device_id:%u[%s:%d]%lu %s:MemoryAllocator::FreeMemory device_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed, device_id = %u, size= %lu[%s:%d]%lu %s:MemoryAllocator::MallocMemory device_id = %u, size= %lu., ptr=, device_id=, module_id=Call rtMalloc fail, purpose:%s, size:%zu, device_id:%uMalloc Memory fail, purpose:%s, memory_key:%s, memory_size:%zu, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed, memory_key[%s], size = %lu, device_id:%u.N2ge25ExpandableMemoryAllocatorEN2ge31ExpandableActiveMemoryAllocatorEFreeMemoryGetIndexReleasePhysicalMemoryByIndexFreePhysicalMemoryReleaseVirtualMemoryFreeMemoryReserveVirtualMemoryMallocVirtualMemoryMallocPhysicalMemoryMallocPhysicalMemoryAndMapMallocMemoryMallocMallocActiveMemorysMallocMemoryvector::_M_default_appendactive_memory_allocator.cc[%s:%d]%lu %s:ActiveMemoryAllocator::FreeMemory used_count = %zu device_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %svirtual_memory_addr:%p virtual_memory_size:%zu is invalid.(index_end < physical_memorys_.size())[%s:%d]%lu %s:Unmap and free addr:%p size:%zu success, total physical_memory_size:%zu.((GetIndex(virtual_memory_addr, virtual_memory_size, index_begin, index_end)) == ge::SUCCESS)[%s:%d]%lu %s:Reduce reference count index:%zu ref_count:%zu, total physical_memory_size:%zu.[%s:%d]%lu %s:virtual_memory_addr:%p virtual_memory_size:%zu success, total physical_memory_size:%zu.[%s:%d][EVENT]%lu %s:virtual_active_addr_base:%p virtual_memory_size:%zu device_id:%u.[%s:%d]%lu %s:virtual_active_addr_base:%p virtual_memory_size:%zu device_id:%u.((virtual_memory_size_ % page_size_) == 0U)rtReserveMemAddress(&virtual_addr, virtual_memory_size_, 0U, nullptr, 1U) == RT_ERROR_NONE[%s:%d]%lu %s:Assert failed: %svirtual_memory_addr_base_ != nullptr((rtMemGetInfoEx(RT_MEMORYINFO_HBM, &free_mem, &total_mem_size)) == 0)((rtMemGetInfoEx(RT_MEMORYINFO_DDR, &free_mem, &total_mem_size)) == 0)(memory_size <= total_mem_size)virtual_active_addr_ != nullptrcall rtMallocPhysical failed, size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %scall rtMallocPhysical failed, size:%zucall rtMapMem failed, map_addr:%p[%s:%d]%lu %s: ErrorNo: %u(%s) %scall rtMapMem failed, map_addr:%p[%s:%d]%lu %s:MapMem addr:%p size:%zu success, total physical_memory_size:%zu.[%s:%d]%lu %s:index:%zu ref_count:%zu, total physical_memory_size:%zu.((active_memory_allocator_.MallocPhysicalMemory(purpose, virtual_active_addr, memory_size - used_memory_size_)) == ge::SUCCESS)support_reserve_mem_address_(memory_size >= 0)[%s:%d]%lu %s:Maybe not support rtReserveMemAddress.((MallocPhysicalMemoryAndMap(purpose, malloc_size)) == ge::SUCCESS)[%s:%d]%lu %s:[%s] Total[virtual_memory_addr:%p virtual_memory_size:%zu, used_memory_size:%zu], current[memory_addr:%p memory_size:%lld incremental:%d]ActiveMemoryBlock active_addr_begin: active_addr_end: total_size: used_size: new_add:[%s:%d]%lu %s:%s[%s:%d]%lu %s:Total active memory alloc_size:%zu, used_size:%zu, peak_size:%zu[%s:%d]%lu %s:Before malloc logical_memorys:LogicalMemoryBlock logical_addr: memory_size: active_addr: memory_type:, alloc:(logical_memory.memory_size >= 0)[%s:%d]%lu %s:After malloc logical_memorys:[%s:%d]%lu %s:ActiveMemoryAllocator::MallocMemory device_id = %u, size = %lu used_count = %zu.N2ge15MemoryAllocatorEN2ge22SessionScopeMemoryInfoEN2ge24SessionScopeMemAllocatorEN2ge13MemoryManagerEN2ge10MemManagerERegisterAllocatorManagerReleaseResourceGetAllocatorGetAllocatorGetAllocatorGetAllocatorGetAllocatorInitializeInitAllocatorInitAllocatorInitAllocatorInitAllocatorInitAllocatorFinalizemem_manager.cc[%s:%d]%lu %s:MemManager RegisterAllocatorManager.[%s:%d]%lu %s:MemManager ReleaseResource device id = %u.[%s:%d]%lu %s:Get allocator failed, memory type is %u.[%s:%d]%lu %s:MemManager has been inited.[%s:%d]%lu %s:MemManager Initialize.[%s:%d]%lu %s:Create Allocator memory type[%u] success.New MemoryAllocator fail, index:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sAlloc Allocator failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate Allocator failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate MemoryAllocator failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate CachingAllocator failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate RdmaAllocator failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCreate HostMemAllocator failed.[%s:%d]%lu %s:MemManager Finalize.St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge10AlignedPtrELN9__gnu_cxx12_Lock_policyE2EEFreeMallocMallocParam memory_addr is nullptr, check invalidhost_mem_allocator.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid memory pointerMemory_addr is not alloc before, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid memory pointer:%p[%s:%d]%lu %s:Insert a null aligned_ptr, size=%zu[%s:%d]%lu %s:allocate existed host memory succ, size=%zu[%s:%d]%lu %s:start to malloc host memory, size=%zuNew AlignedPtr fail, size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][MakeShared] for AlignedPtr failed, size:%zu[%s:%d]%lu %s:allocate host memory succ, size=%zuoperator()AllocateDeAllocateInitializeFinalizeQueryVarMemInfoMallocHostSharedMemory*ZN2ge18SharedMemAllocator8AllocateERNS_13SharedMemInfoEEUlvE_*ZN2ge18SharedMemAllocator8AllocateERNS_13SharedMemInfoEEUlRSt10unique_ptrIA_hSt8functionIFvPhEEEE0_*ZN2ge18SharedMemAllocator8AllocateERNS_13SharedMemInfoEEUlPKhE1_host_mem_manager.cc[%s:%d]%lu %s:SharedMemAllocator::Malloc host mem size= %zu for devid:[%u].rtSetDevice(dev_id)Call rtMallocHostSharedMemory fail, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMallocHostSharedMemory] failed, devid:[%u].[%s:%d]%lu %s:SharedMemAllocator::DeAllocateCall rtFreeHostSharedMemory fail, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtFreeHostSharedMemory] failed, ret:0x%X.New SharedMemAllocator fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[New][SharedMemAllocator] failed!Ascend_[%s:%d]%lu %s:Host %s mem release failed![%s:%d]%lu %s:Host memory for node [%s] not found.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Host shared memory for op %s has been mallocedParam:allocator_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:allocator_]null is invalidoperator()GetModelPathInitRdmaPoolRdmaRemoteRegisterGetVarBaseAddrAndSizeGetVarBaseAddrAndSizeMallocSharedMemory*ZN2ge18RdmaRemoteRegisterERKSt6vectorINS_11HostVarInfoESaIS1_EEjEUlvE_[%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:%smemory_api.cc[%s:%d]%lu %s:Failed to close handle %s[%s:%d]%lu %s:InitRdmaPool in[%s:%d]%lu %s:Start to register rdma memory with host var size %zuParam:reg_addrs is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:reg_addrs]null is invalidlibhccl.socanonical_path:%s is empty, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RealPath] Failed to get realpath of %s[%s:%d]%lu %s:FileName:%s, Path:%s.Param:handle is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:handle]null is invalidHcomRegRemoteAccessMemSymbol HcomRegRemoteAccessMem can't find in %s, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Symbol HcomRegRemoteAccessMem can't find in %sCall hcom_remote_mem_register failed, ret:%d,[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HcomRemoteMemRegister] Rdma mem register failed, ret:0x%X[%s:%d]%lu %s:GetVarBaseAddrAndSize in, var name:[%s][%s:%d]%lu %s: ErrorNo: %u(%s) %sGet addr and size failed, name:[%s]((var_name) != nullptr)[%s:%d]%lu %s:MallocSharedMemory in[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calculate][SharedMemory] failed, op name:%s[%s:%d]%lu %s:[Calculate][SharedMemory] size is:%lu for op name:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][SharedMemory] failed, op name [%s][%s:%d]%lu %s:MallocSharedMemory Succeededoperator()GetBaseAddrFinalizeInitMemoryFreeMalloc*ZN2ge17RdmaPoolAllocator10InitMemoryEmEUlvE_rdma_pool_allocator.ccParam rdma_base_addr_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Rdma base addr is nullptr.[%s:%d]%lu %s:Rdma pool finalize start.[%s:%d]%lu %s:Start to free rdma pool memory.[%s:%d]%lu %s:Free rdma pool memory failed[%s:%d]%lu %s:Init Rdma Memory with size [%zu] for devid:[%u].Param rdma_base_addr_ is not nullptr, devid:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Rdma pool has been malloced, devid:%uMemory for rdma poolParam:memory_allocator_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:memory_allocator_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] failed, size:%zu, device_id:%uNew Block failed, size:%zu, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[New][Block] failed, size:%zu, device_id:%u[%s:%d]%lu %s:Free rdma memory, device id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid memory pointer, device id:%uParam memory_addr is not allocated before, device_id:%u, check invalid[%s:%d]%lu %s:start to malloc rdma memory size:%zu, device id = %u.Rdmapool memory address is nullptr, device_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Rdmapool memory address is nullptr, device_id:%u[%s:%d]%lu %s:Block will be splited block size = %zu, aligned_size:%zu.[%s:%d]%lu %s:Block split failed[%s:%d]%lu %s:Memory block not founded.*ZN2ge24SessionScopeMemAllocator6MallocEmmjEUlPhE_FreeFreeAllMemoryMalloc*St19_Sp_counted_deleterIPhZN2ge24SessionScopeMemAllocator6MallocEmmjEUlS0_E_SaIvELN9__gnu_cxx12_Lock_policyE2EEsession_scope_mem_allocator.cc[%s:%d]%lu %s:Free session:%lu memory, device id:%u.[%s:%d]%lu %s:Invalid session_id[%s:%d]%lu %s:Free memory size:%zu.[%s:%d]%lu %s:Free all memory[%s:%d]%lu %s:Start malloc memory, size:%zu, session id:%lu device id:%uMemory for session scope[%s:%d]%lu %s: ErrorNo: %u(%s) %sMalloc failed, no enough memory for size:%zu, session_id:%lu device_id:%uN2ge16ProfilingManagerEBuildTensorBaseInfoProfilingModelExecuteOnPluginInitCheckInitForSubscribeProfInitPluginUnInitCallMsprofReportReportDataRecordProfileStepInfoGetDeviceIdFromGraphGetModelIdFromGraphRemoveFromGraphIdMapRecordStartRecordEndProfOpDetailProfilingProfModelUnsubscribeProfFinalizeProfParseDeviceIdProfParseParamProfStopProfilingProfStartProfilingProfilingOpInputOutInfoProfilingTaskDescInfoSetAlternativeValueSetAlternativeValueReportProfilingDataSetGraphIdToModelMapSetGraphIdToDeviceMapprofiling_manager.cc[%s:%d]%lu %s:[Profilng] memcpy_s failed.[%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:Current logic_device_id:%d[%s:%d]%lu %s:Flag is_execute_profiling: %d, execute_model_prof_on: %d, op_detail_prof_on: %d.Profiling reporter init failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][ProfilingReporter]Failed, ret 0x%XGet profiling reporter data max len failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ProfilingDataMaxLen]Failed, ret 0x%X[%s:%d]%lu %s:Prof subscribe: model load profiling on.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][ProfilingPlugin]Failed, ret %uInit profiling plugin failed, ret %u[%s:%d]%lu %s:ProfilingProperties is inited.[%s:%d]%lu %s:Prof init success.[%s:%d]%lu %s:profiling plugin uninit failed, ret:%d[%s:%d]%lu %s:Call MsprofReportData MSPROF_REPORTER_UNINIT success.Profiling reporter report failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ProfilingReporter]Failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sReport data tag [%s] memcpy error![%s:%d]%lu %s: ErrorNo: %u(%s) %sReporter data [%s] failed, ret:%u[%s:%d]%lu %s:Record task profiler element hash[%lu], event hash[%lu], start[%lu], end[%lu][%s:%d]%lu %s:[Get][LogicDeviceId]Failed, ret 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sMemcpy op name fail.[%s:%d]%lu %s:Profiling is not turned on, no need to profile step info.[%s:%d]%lu %s:Profiling Step Info TraceTask execute async start, index_id = %lu, model_id = %u, tag_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtProfilerTraceEx]Failed, ret 0x%XCall rtProfilerTraceEx failed, ret 0x%X[%s:%d]%lu %s:Profiling Step Info TraceTask execute async success, index_id = %lu, model_id = %u, tag_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][RtsInfo]Task_id and stream_id failed, ret 0x%XGet task_id and stream_id failed, ret 0x%X[%s:%d]%lu %s:Get profiling args, task_id[%u], stream_id[%u]step_infograph_id:%u does not exist![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GraphId]graph_id:%u does not exist![%s:%d]%lu %s:Remove model id:%u.((gert::GlobalProfilingWrapper::ReportEvent( static_cast(model_id_), index_id_, gert::GeProfInfoType::kModelExecute, model_execute_info)) == ge::SUCCESS)((gert::GlobalProfilingWrapper::ProfileStepTrace(static_cast(index_id_), model_id_, kStartTag, stream_)) == ge::SUCCESS)((gert::GlobalProfilingWrapper::ProfileStepTrace(static_cast(index_id_), model_id_, kEndTag, stream_)) == ge::SUCCESS)((gert::GlobalProfilingWrapper::ReportGraphIdMap( model_execute_info.timeStamp, model_execute_info.threadId, {graph_id_, model_id_}, true)) == ge::SUCCESS)[%s:%d]%lu %s:Prof init: op detail profiling on, cache_flag=%u.[%s:%d]%lu %s:The profiler has not been subscribed, you do not need to cannel the subscription.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Cancel][DeviceId]The device_id %u has not been subscribed, do not need to cancelThe device_id %u has not been subscribed, do not need to cancel[%s:%d]%lu %s:Subscribe count change to zero. Report uinit to msprof[%s:%d]%lu %s:Prof begin to finalize. Report uinit to msprof[%s:%d]%lu %s:Prof finalize success.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][DeviceId]Config para not contain device id listParse device id failed, config para not contain device id list[%s:%d]%lu %s:[Parse][DeviceId]Config para explicitly dose not include device_num.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Param]Config para not contain device numParse param failed, config para not contain device num[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][DeviceId]FailedParse device id failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Param]Failed, config para device num %d not equal to device list size %zu[Parse][Param]Failed, config para device num %d not equal to device list size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Stop][Profiling]Prof stop parse param failed, device num %d, device list size %zuProf stop parse param failed, device num %d, device list size %zu[%s:%d]%lu %s:Prof stop: ge execute model stop profiling.[%s:%d]%lu %s:Prof stop: load model module is invalid.[%s:%d]%lu %s:Prof stop profiling success.[%s:%d]%lu %s:Prof stop profiling clear properties success.[%s:%d]%lu %s:Prof init: model load profiling on.[%s:%d]%lu %s:Prof init: task time profiling on.[%s:%d]%lu %s:Prof init: task time l1 profiling on.[%s:%d]%lu %s:Prof init: task memory profiling on.[%s:%d]%lu %s:Prof init: training trace profiling on.[%s:%d]%lu %s:Prof init: fwk schedule l0 profiling on.[%s:%d]%lu %s:Prof init: fwk schedule l1 profiling on.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Param]Prof start parse param failed, device num %d, device list size %zuProf start parse param failed, device num %d, device list size %zu[%s:%d]%lu %s:Prof start: ge execute model start profiling.[%s:%d]%lu %s:Prof start: load model module is invalid.((gert::GlobalProfilingWrapper::GetInstance()->RegisterProfType()) == ge::SUCCESS)[%s:%d]%lu %s:Prof start profiling success.[%s:%d]%lu %s:[Profiling] Report tensor info, size is %lu[%s:%d]%lu %s:[Profiling] report task info size is %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Profiling] Strcpy value [%s] error![%s:%d]%lu %s:[Profiling] task_type is not in kTaskType2Enum, which is %s[%s:%d]%lu %s:[Profiling] shape_type is not in kShapeType2Enum, which is %s[%s:%d]%lu %s:ReportData info: Op_name: %s, task_id: %u, stream_id: %u[%s:%d]%lu %s:current logic_device_id:%d[%s:%d]%lu %s:start ProfilingTaskDescInfo, task desc info size is %zu[%s:%d]%lu %s:Report profiling data for GE end.[%s:%d]%lu %s:Save graph id:%u and model id:%u to model_id_map.[%s:%d]%lu %s:Save graph id:%u and device id:%u to device_id_map.Ascend910AAscend910BAscend910PremiumAAscend910ProAAscend910ProBAscend910B1Ascend910B2Ascend910B3Ascend910B4Ascend910B2CAscend910C1Ascend910C2Ascend910C3Ascend920AAscend310P1Ascend310P3Ascend310Ascend310B1Ascend310B2Ascend310B3Ascend310B4Ascend310M1Ascend320Ascend610Ascend610LiteAscend615Ascend710Vir01Ascend710Vir02Ascend710Vir04Ascend710Vir08BS9SX1AAHi3796CV300CSHi3796CV300ESOPTGSD3403TsnsCTsnsEAscend031Ascend035ddr_rateubblock_sizeAICPUSyncBySWTSCPUSyncBySWCounterWorkspaceSizeai_core_cntjit_compile_default_valuejit_compile_modevec_freqIntrinsic_mmadAICoreMemoryRatesAICoreSpecCPUCacheDSARandomSoCInfoSoftwareSpecVectorCoreMemoryRatesVectorCoreSpecversionAICoreintrinsicDtypeMapVectorCoreintrinsicDtypeMapALL_LABEL_ENDdevNumsdevIdListprof_startprof_stopprof_model_subscribeprof_model_cancel_subscribedynamic_op_executetensor_data_infosingle_op_tensor_infotask_desc_infosingle_op_task_infoheterogeneous_hostGetModelPath~InvokeFuncPerfRecorderFinalizeInvokeAllCheckExecutorsInitializePluginInvokeAllInvokeAllInitializeGetExecutorops_kernel_executor_manager.cc[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of InvokeAll [%s] in [%s] is [%lu] micro second.[%s:%d]%lu %s:[GEPERFTRACE] The time cost of InvokeAll [%s] in [%s] is [%lu] micro second.ge.exec.hcclFlaglibhcom_graph_adaptor.so[%s:%d]%lu %s:ge invoke ops kernel executor finalize.[%s:%d]%lu %s:Failed to invoke function %s in %s! errmsg:%slibhcom_executor.so[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][PluginPtr] OpsKernelExecutor key=%s is nullCheckPluginPtr OpsKernelExecutor key=%s is null[%s:%d]%lu %s:Executor initialized, name = %sInitializeGetOpsKernelInfoStoresFinalizeops_kernel_info_hccl_gradtunehvd_ops_kernel_info[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][SoFile] not find any valid so file.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][OpsKernelInfo]PluginManager InvokeAll failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get OpsKernelExecutors[%s:%d]%lu %s:No library to load[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to initialize executor pluginsParam:hccl_executor_plugin is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:hccl_executor_plugin]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to initialize hccl executor plugins[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get executor, name = %sGetHcclDataTypeGetHcclTypeSizeGetAlignedTensorSizeGetHcomP2pCountCheckKernelHcclInfoGetHcclRootIdGetAllRootIdGetHorovodInputsGetHcclDataTypeGetHcomCountGetHorovodCountGetHcclCountGetHcclOperationType      Transform src_data_type:[%d, %s] to hccl_data_type failed.hcom_ome_util.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sTransform src_data_type:[%d, %s] to hccl_data_type failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] param data_type:%d not find[Check][Param] align size = %d should be greater than 0.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] align size = %d should be greater than 0.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Size] from TensorDesc of hcom recv op failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] output size = %ld and align size = %d beyond INT64_MAX after add.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcclTypeSize] failed, datatype = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputSize] failed, align_size = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Size] from TensorDesc of hcom send op failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Product of shape size = %lld and size = %d beyond INT64_MAX[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Total size:%lld is beyond the INT64_MAX[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnsupported operation type = %d.[Check][Param] size is zero.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] size is zero.[Check][Param] total size = %d is not divisiable by size = %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] total size = %d is not divisiable by size = %d.Op:%s(%s) is not hcom op or param kernel_hccl_infos.size:%zu != 1, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op:%s(%s) is not hcom op or param kernel_hccl_infos.size:%zu != 1Param kernel_hccl_infos.size:%zu is empty or not equal to input_desc size:%zu in op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sParam kernel_hccl_infos.size:%zu is empty or not equal to input_desc size:%zu in op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s(%s) failGet Attr:%s in op:%s(%s) fail[%s:%d]%lu %s:GetAllRootId Node[%s] opType[%s] get hccl rootId.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcclRootId] fail! domi error: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelHcclInfo] Node:%s Optype:%s the number of GETaskKernelHcclInfo is invalid.Param:input_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_desc]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelHcclInfo] failed, op:%s(%s).[%s:%d]%lu %s:GetHcclDataType start, node[%s], opType[%s].Param:input_desc_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_desc_ptr]null is invalidAttr:%s in op:%s(%s), value data_type:%s, not support in kConstOpHcclDataType now, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s in op:%s(%s), value data_type:%s, not support in kConstOpHcclDataType nowOp:%s(%s) is not hcom op, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op:%s(%s) is not hcom op[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcclTypeSize] fail, datatype:%dParam:op_desc->GetOutputDescPtr(i) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc->GetOutputDescPtr(i)]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputSize] failed, align_size = %ld[%s:%d]%lu %s:hcom util node %s, shapesize %ld, datasize %d.Param:op_desc->GetInputDescPtr(i) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc->GetInputDescPtr(i)]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Size] from TensorDesc failed, op:%s, input index:%u[Get][Attr] %s in op:%s(%s) failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s(%s) failed[Check][Param] rank size is zero[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] rank size is zero[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Product of shape size:%ld and size:%d beyond INT64_MAX, op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Total size:%ld is beyond the INT64_MAX, op:%s(%s)[%s:%d]%lu %s:hcom util node %s inputsize %ld, shapesize %ld, datasize %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] input_size:%ld and align_size:%ld beyond INT64_MAX after add.Invalid rank size = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid rank size = %d[%s:%d]%lu %s:[%s] block size = %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Total size:%ld is beyond the INT64_MAX[Check][Param] Size is zero[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size is zero[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] total_size:%ld is not divisiable by size:%d.[%s:%d]%lu %s:GetHcomP2pCount count = %ld, data_type = %d, op name = %s, op type = %sOp:%s(%s) is not horovod op, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][IsHorovodOp] failed, Op:%s(%s) is not horovod opOp:%s(%s) input size:%zu bigger than kernel_hccl_infos.size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][IsHorovodOp] failed, Op:%s(%s) input size:%zu bigger than kernel_hccl_infos.size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][GetHcclTypeSize] fail, op:%s(%s)Param:op_desc->GetInputDescPtr(static_cast(i)) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc->GetInputDescPtr(static_cast(i))]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Size] from TensorDesc failed, op:%s, input index:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Product of shape size:%ld and size:%d beyond INT64_MAX[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] block_size:%ld is not divisiable by size:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][KernelHcclInfo] failed, the number of GETaskKernelHcclInfo is invalid, op:%s(%s).[%s:%d]%lu %s:GetHcclCount start, node[%s], opType[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][GetHcomCount] Node:%s Optype:%s get the Hcom operator hccl count fail.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][GetHorovodCount] Node:%s Optype:%s get the Horovod hccl operator count fail.minmaxprodsumAttr:%s in Op:%s(%s), hcom_op_type value:%s is not support now, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s in Op:%s(%s), hcom_op_type value:%s is not support nowAttr:%s in Op:%s(%s), horovod_op_type value:%ld is not support now, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s in Op:%s(%s), horovod_op_type value:%ld is not support nowNSt13__future_base13_State_baseV2ENSt13__future_base7_ResultIjEENSt13__future_base16_Task_state_baseIFjvEEESt19_Sp_make_shared_tagSt15_Sp_counted_ptrIPSt13packaged_taskIFjvEELN9__gnu_cxx12_Lock_policyE2EECopyVarToDeviceReAssignVarAddrCopyVarFromDeviceCalcVarSizeInBytesTransAllVarDatacommitoperator()TransVarDataTransVarOnHostCopyVarDataCopyTensorFromSrcVarNodeRtContextSwitchGuardTransTensor~RtContextSwitchGuard*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge17TransVarDataUtils15TransAllVarDataERKSt6vectorISt10shared_ptrINS9_4NodeEESaISE_EEmjjEUlRKSE_mPvjjRKN13error_message7ContextEE_SE_mSL_jjSN_EESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge17TransVarDataUtils15TransAllVarDataERKSt6vectorISt10shared_ptrINS9_4NodeEESaISE_EEmjjEUlRKSE_mPvjjRKN13error_message7ContextEE_SE_mSL_jjSN_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*NSt13__future_base11_Task_stateISt5_BindIFZN2ge17TransVarDataUtils15TransAllVarDataERKSt6vectorISt10shared_ptrINS2_4NodeEESaIS7_EEmjjEUlRKS7_mPvjjRKN13error_message7ContextEE_S7_mSE_jjSG_EESaIiEFjvEEE*ZN2ge10ThreadPool6commitIRKZNS_17TransVarDataUtils15TransAllVarDataERKSt6vectorISt10shared_ptrINS_4NodeEESaIS6_EEmjjEUlRKS6_mPvjjRKN13error_message7ContextEE_JSC_RKmRSD_RKjSP_RSF_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge17TransVarDataUtils15TransAllVarDataERKSt6vectorISt10shared_ptrINS3_4NodeEESaIS8_EEmjjEUlRKS8_mPvjjRKN13error_message7ContextEE_S8_mSF_jjSH_EESaIiEFjvEEESN_LN9__gnu_cxx12_Lock_policyE2EEstd::future_error: Param:var is nullptr, check invalidtrans_var_data_utils.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var]null is invalid[%s:%d]%lu %s:Copy var %s from host to device, size %zuCall rtMemcpy failed, op:%s(%s), size:%lu, ret:0x%X,[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMemcpy] failed, op:%s(%s), size:%lu, ret:0x%X,Param:VarManager::Instance(session_id) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:VarManager::Instance(session_id)]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][VarAddr] failed, var name:%s, session_id:%lu, ret:%uGet variable memory addr failed, mem_type:%d, var_name:%s, session_id:%lu,[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][VarMemoryAddr] failed, mem_type:%d, var_name:%s, session_id:%lu[%s:%d]%lu %s:var_logic:%p, var_addr:%p[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][VarAddr] failed, node:%s, session_id:%lu, ret:%d.Get variable memory addr failed, mem_type:%d, op:%s(%s), session_id:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][VarMemoryAddr] failed, mem_type:%d, op:%s(%s), session_id:%luData type:%s in desc, it's size:%ld < 0, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Calc][VarDataSize] by data type %s failed.New host memory failed, size:%ld, op:%s(%s), session_id:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[New][Memory] for rt-host failed, size:%ld, op:%s(%s), session_id:%luCall rtMemcpy failed, size:%ld, op:%s(%s), session_id:%lu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMemcpy] failed, size:%ld, op:%s(%s), session_id:%lu, ret:0x%X[%s:%d]%lu %s:Copy var %s from device to host, size %ld[%s:%d]%lu %s:No vars need trans, just return.rtCtxGetCurrent(&context)[%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 end[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Future is invalid, session id:%lu, graph id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] trans %zu vardata failed.Call rtCtxSetCurrent failed, session_id:%lu, graph_id:%u, ret:0x%X.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtCtxSetCurrent] failed, session_id:%lu, graph_id:%u, ret:0x%X.Param:VarManager::Instance(inner_session_id) is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:VarManager::Instance(inner_session_id)]null is invalidGet allocated GraphId failed, session_id:%lu, graph_id:%u, ret:0x%X.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][AllocatedGraphId] failed, node:%s, graph_id:%u.[%s:%d]%lu %s:VarManager::GetChangedGraphId() success, node:%s, graph_id:%u.[%s:%d]%lu %s:The variable %s does not have any trans roadParam trans_road is empty, session_id:%lu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] trans_road is empty, session_id:%lu[%s:%d]%lu %s:Skip to trans variable data on the reshape/reformat node[%s:%d]%lu %s:Trans format from %s to %s, primary formats from %s to %s, src c0 is %ld, dts c0 is %ld, shape %s to %s, data-type %sTrans format from %s to %s, primary formats from %s to %s, src c0 is [%ld], dts c0 is [%ld], shape %s to %s failed, data type:%s, ret:%u,[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][Format] from %s to %s, primary formats from %s to %s, shape %s to %s failed, src c0 is %ld, dts c0 is %ld, data type %s error code %u[%s:%d]%lu %s:Trans data type from %s to %s, input shape %s, data size %ldTrans data type from %s to %s failed, input shape %s, data size %ld, ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][DataType] from %s to %s failed, input shape %s, data size %ld, error code %uTrans var data failed, the trans type %s does not supported, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][VarData] failed, the trans type %s does not supported[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][TransVarOnHost] failed, session_id:%lu, ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ReAssignVarAddr] failed, session id:%lu, op:%s, ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CopyVarToDevice] failed, var:%s, ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][VarData] failed, node:%s, graph_id:%u, session_id:%lu.[%s:%d]%lu %s:CopyVarData start: session_id:%lu.Param compute_graph is nullptr, session_id:%lu, device_id:%u, check invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] compute_graph is nullptr, session_id:%lu, device_id:%u._copy_from_var_node[%s:%d]%lu %s:Get original type of cp_from_node_copy_valueParam:src_node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_node]null is invalid[%s:%d]%lu %s:current_var_node__: [%s] copy_from_var_node__: [%s].Param var_src or var_dst is nullptr, session_id:%lu, device_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Param var_src or var_dst is nullptr, session_id:%lu, device_id:%u[%s:%d]%lu %s:src_node %s, src_format %s, src_shape %s, src_type %s.[%s:%d]%lu %s:dst_node %s, src_format %s, src_shape %s, src_type %s.Call rtCtxGetCurrent failed, device_id:%u, ret:0x%X,[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtCtxGetCurrent] Failed to get current context, device_id:%u, ret:0x%XCall CtxSetCurrent failed, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtCtxSetCurrent] failed, device_id:%uCall rtCtxSetCurrent failed, device_id:%u, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtCtxSetCurrent] failed, device_id:%u, ret:0x%X[%s:%d]%lu %s:Create and switch rt context %p type %d for device %u, backup last %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CopyVarFromDevice] failed, session id:%lu, var_src:%sParam:var_src is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_src]null is invalidParam:var_src->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_src->GetOpDesc()]null is invalidParam:var_dst is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_dst]null is invalidParam:var_dst->GetOpDesc() is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_dst->GetOpDesc()]null is invalidTrans data type from %s to %s failed, data size %ld, ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][DataType] from %s to %s failed, data size %ld, ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Trans][Tensor] failed, var_src:%s, var_dst:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ReAssignVarAddr] failed, session id:%lu, var_dst:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CopyVarToDevice] failed, var_dst:%s, ret:%u[%s:%d]%lu %s:Destory current context %p result %d[%s:%d]%lu %s:Recovery last context %p result %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Copy][Tensor] failed, src_node:%s, node:%s, session_id:%lu, device_id:%uUpdateWorkSpaceInfoParseExtWorkSpaceInfoParseExtAsyncWaitParseExtShapeTypeParseExtSessionInfoParseExtBitMapParseExtUpdateAddrUpdateExecuteModeUpdateSessionInfoUpdateEventIdUpdateShapeAndTypeUpdateInputShapeAndTypeUpdateOutputShapeAndTypeUpdateShapeAndTypeUpdateInputShapeAndTypeUpdateOutputShapeAndTypeGetOutputShapeAndTypeParseExtTopicTypeUpdateSessionInfoIdParseExtInputShapeParseExtOutputShapeParse @aicpu_ext_info_handler.cc[%s:%d]%lu %s:There is no workspace_info in ext_info, no need update.[%s:%d]%lu %s:workspace_info size&addr=%lu %luNode[%s] parse ext workspace info failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse ext workspace info failed as infoLen must be %zu but %u.[%s:%d]%lu %s:Node[%s] parse work space info success infoLen=%u.Node[%s] parse ext async wait info failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse ext async wait info failed as infoLen must be %zu but %u.[%s:%d]%lu %s:Node[%s] parse async wait info success infoLen=%u.Node[%s] parse ext shape type failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s] parse ext shape type failed as infoLen must be %zu but %u.Node[%s] parse ext shape type failed as need %d but %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Type]Node[%s] parse ext shape type failed as need %d but %d.[%s:%d]%lu %s:Node[%s] parse ext shape type success infoLen=%u.Node[%s] parse ext session info failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse ext session info failed as infoLen must be %zu but %u.[%s:%d]%lu %s:Node[%s] parse session info success infoLen=%u.Node[%s] parse bit_map info failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse bit_map info failed as infoLen must be %zu but %u.[%s:%d]%lu %s:Node[%s] bit_map info success infoLen=%u.Node[%s] parse update_addr info failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse update_addr info failed as infoLen must be %zu but %u.[%s:%d]%lu %s:Node[%s] update_addr info success infoLen=%u.[%s:%d]%lu %s:There is no bit_map in ext_info, no need update.[%s:%d]%lu %s:There is no session info in ext_info, no need update.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] async_wait_ is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DimNum]Node[%s] Update shape and type failed, as dim_num %zu is over max shape dims %u.[Update][Input] Node[%s] index out of range! index = %zu, input_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Input] Node[%s] index out of range! index = %zu, input_num = %u[Update][Output] Node[%s] index out of range! index = %zu, output_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Output] Node[%s] index out of range! index = %zu, output_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DimNum]Update shape and type failed, as dim_num %zu is over max shape dims %u.[Update][Input] Node[%s] index out of range! index = %u, input_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Input] Node[%s] index out of range! index = %u, input_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ShapeAndType] failed, Node[%s] input[%u] .[Update][Output] Node[%s] index out of range! index = %u, output_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][Output] Node[%s] index out of range! index = %u, output_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][GetShapeRange]Node[%s] is shape range type but get GetShapeRange failed, ret=%u[%s:%d]%lu %s:Node[%s] output[%u] update dim[%zu] from %ld to range max %ld.[Get][Output] Node[%s] index out of range! index = %u, output_num = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Output] Node[%s] index out of range! index = %u, output_num = %uNode[%s] parse topic_type info failed as infoLen must be %zu but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse topic_type info failed as infoLen must be %zu but %u.Node[%s] parse ext topic type failed as need %d %d %d %d but %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Type]Node[%s] parse ext shape type failed as need %d %d %d %d but %d.[%s:%d]%lu %s:Node[%s] parse ext topic type info success infoLen=%u, topic_type=%d, rts_flag=%d, qos_flag=%u.Node[%s] parse ext input shape failed as infoLen must be input_num[%u]*sizeof(ShapeAndType)[%zu] but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse ext input shape failed as infoLen must be input_num[%u]*sizeof(ShapeAndType)[%zu] but %u.[%s:%d]%lu %s:Node[%s] parse ext input shape success infoLen=%u.Node[%s] parse ext output shape failed as infoLen must be output_num[%u]*sizeof(ShapeAndType)[%zu] but %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][DataLen]Node[%s] parse ext output shape failed as infoLen must be output_num[%u]*sizeof(ShapeAndType)[%zu] but %u.[%s:%d]%lu %s:Node[%s] parse ext output shape success infoLen=%u.[%s:%d]%lu %s:Node[%s] parse ext info start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ext_info]Node[%s] parse ext info failed as ext info is empty.Param:ext_info_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ext_info_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ext_info_][%s] Failed to copy ext info[%s] Failed to copy ext info.Param:tmp_ext_info_data is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tmp_ext_info_data]null is invalid[%s:%d]%lu %s:Ext infoType=%d, infoLen=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtShapeType] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtInputShape] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtOutputShape] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtSessionInfo] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtBitMap] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtUpdateAddr] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtTopicType] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtAsyncWait] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][ExtWorkSpaceInfo] failed.[%s:%d]%lu %s:Node[%s] ignore infoType=%d, infoLen=%u.Node[%s] ext_info format error, parse not reach end,offset=%zu, ext_info_len=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Size]Node[%s] ext_info format error,parse not reach end, offset=%zu, ext_info_len=%zu.[%s:%d]%lu %s:Node[%s] parse ext info end.N2ge8TaskInfoEN2ge11CpuTaskInfoEN2ge19CpuTaskModelDequeueEN2ge24CpuTaskModelBatchDequeueEN2ge25CpuTaskModelGatherDequeueEN2ge15CpuTaskZeroCopyEN2ge20CpuTaskProcessOutputEN2ge15CpuTaskMarkStepEN2ge19CpuTaskModelEnqueueEN2ge18CpuTaskActiveEntryEN2ge19CpuTaskWaitEndGraphEN2ge24CpuTaskModelReportStatusEN2ge18CpuTaskModelRepeatEN2ge27CpuTaskProcessInputsMemCopyEN2ge30CpuTaskProcessInputsShapeCheckEUpdateDumpInfosUpdateHostArgsDistributeDistributeDistributeDistributeDistributeDistributeDistributeDistributeDistributeDistributeDistributeDistributeDistribute~CpuTaskInfo~CpuTaskProcessInputsMemCopy~CpuTaskProcessInputsShapeCheck~CpuTaskZeroCopyInitInitInitInitInitInitInitInitInitInitInitInitAddrsInitInit[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][HostArgs]args does not support, host args size is %zu.cpu_queue_schedule.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][DumpInfo] does not support, host args size is 0.Param args_ is nullptr or args_size_:%u is 0 or stream_ is nullptr,check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Task not initialized, distribute failed, size:%urtCpuKernelLaunch(nullptr, KCpuTaskMemCopyInput.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch input memory copy task success.Param args_ is nullptr or args_size_ is 0 or stream_ is nullptr, arg_size:%u,check invalidrtCpuKernelLaunch(nullptr, kCpuTaskModelEnqueue.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch model enqueue task success.rtCpuKernelLaunch(nullptr, kCpuTaskModelDequeue.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch model dequeue task success.rtCpuKernelLaunch(nullptr, KCpuTaskCheckInputTensorDesc.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch input shape check task success.[Check][Param] Task not initialized, distribute failed, size:%urtCpuKernelLaunch(nullptr, kCpuTaskModelBatchDequeue.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch model batch dequeue task success.rtCpuKernelLaunch(nullptr, kCpuTaskMarkStep.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch mark dump step task success.rtCpuKernelLaunch(nullptr, kCpuTaskModelRepeat.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch repeat task success.rtCpuKernelLaunch(nullptr, kCpuTaskWaitEndGraph.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch wait end task success.rtCpuKernelLaunch(nullptr, kCpuTaskModelReportStatus.data(), kCoreDim, args_, args_size_, nullptr, stream_)rtCpuKernelLaunch(nullptr, kCpuTaskModelGatherDequeue.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch model gather dequeue task success.rtCpuKernelLaunch(nullptr, zero_cpy_task.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch zero copy task success.rtCpuKernelLaunch(nullptr, kernel_name.data(), kCoreDim, args_, args_size_, nullptr, stream_)[%s:%d]%lu %s:Cpu kernel launch %s output task success.Param stream is nullptr or active_stream_ is nullptr, check invalidrtStreamActive(active_stream_, stream_)[%s:%d]%lu %s:Cpu kernel launch active entry task success.Param args_ is not nullptr or args_size_:%u > 0, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Task already initialized, size:%urtMalloc(&args_, static_cast(args_size_), RT_MEMORY_HBM, GE_MODULE_NAME_U16)args data.rtMemcpy(args_, static_cast(args_size_), &queue_info, sizeof(MbufQueueInfo), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(args_, static_cast(args_size_), &queue_info, static_cast(args_size_), RT_MEMCPY_HOST_TO_DEVICE)Param stream is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Task active stream not validCall strcpy failed, dump_step: %s is too long[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][strcpy_s] strcpy failed, result: %d, dump_step: %srtMemset(step_id, sizeof(uint64_t), 0U, sizeof(uint64_t))[%s:%d]%lu %s:[MarkStep] group_total_count[%u], group_index[%u], step_id_addr: 0x%lx, dump_step: %s, is_head: %d.rtMemcpy(args_, static_cast(args_size_), &mark_step_info, sizeof(MarkStepInfo), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(args_, static_cast(args_size_), &model_id, static_cast(args_size_), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(args_, static_cast(args_size_), &report_status_info, sizeof(ReportStatusInfo), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(input_queues_ptr, static_cast(args_size_ - sizeof(ReportStatusInfo)), input_queues.data(), sizeof(QueueAttrs) * input_queues.size(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:[Check][Param] Params of CpuTaskProcessInputsMemCopy task is emtpy.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The size of mubf list:%zu, data addr list:%zu, length list:%zu and input fusion offset list:%zu should be samertMalloc(&src_addr_, mbuf_list.size() * sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(src_addr_, mbuf_list.size() * sizeof(uint64_t), mbuf_list.data(), mbuf_list.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&dst_addr_, data_addr_list.size() * sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(dst_addr_, data_addr_list.size() * sizeof(uint64_t), data_addr_list.data(), data_addr_list.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&len_list_, length_list.size() * sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(len_list_, length_list.size() * sizeof(uint64_t), length_list.data(), length_list.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&input_fusion_offset_list_, input_fusion_offset_list.size() * sizeof(int32_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(input_fusion_offset_list_, input_fusion_offset_list.size() * sizeof(int32_t), input_fusion_offset_list.data(), input_fusion_offset_list.size() * sizeof(int32_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:src_addr_list is 0x%lx, dst_addr_list is 0x%lx, data_len_addr is 0x%lxrtMemcpy(args_, static_cast(args_size_), &addr_map_info, static_cast(args_size_), RT_MEMCPY_HOST_TO_DEVICE)[Check][Param] Task already initialized, size:%unumber of align_offsets mismatches that of queue ids [%s:%d]%lu %s: ErrorNo: %u(%s) %snumber of align_offsets mismatches that of queue ids rtMemcpy(args_, args_size_, &kernel_args, sizeof(kernel_args), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.align_offsets_addr), align_offsets_size, align_offsets.data(), align_offsets_size, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.queue_ids_addr), queue_ids_size, queue_ids.data(), queue_ids_size, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.mbuf_addrs_addr), mbuf_addrs_size, in_mbufs.data(), mbuf_addrs_size, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(args_, static_cast(args_size_), &kernel_args, sizeof(kernel_args), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.queue_ids_addr), queue_id_addrs_size, queue_ids.data(), queue_id_addrs_size, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.mbuf_addrs_addr), mbuf_addrs_size, in_mbufs.data(), in_mbufs.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.queue_device_ids_addr), device_ids_size, device_ids.data(), device_ids_size, RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(ValueToPtr(kernel_args.queue_device_type_addr), device_type_size, device_types.data(), device_type_size, RT_MEMCPY_HOST_TO_DEVICE)[Check][Param] The size of mubf list:%zu, input fusion offset list:%zu should be same[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The size of mubf list:%zu, input fusion offset list:%zu should be samertMalloc(&shape_validation_addr_, sizeof(ShapeValidation) * shape_validation.size(), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(shape_validation_addr_, sizeof(ShapeValidation) * shape_validation.size(), shape_validation.data(), sizeof(ShapeValidation) * shape_validation.size(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Addr of shape validation info is 0x%lx.rtMalloc(&args_, sizeof(ShapeValidationInfo), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(args_, sizeof(ShapeValidationInfo), &shape_validation_info, sizeof(ShapeValidationInfo), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] not set outside_addrsvector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)[%s:%d]%lu %s:Init addr, index:[%zu], cpy_type:[%d], is notiling:[%d], dest is tiling[%d], fusion offset = %d, addr[%p] will be replaced.[%s:%d]%lu %s:addr_num is %u, outside_addrs size is %zu, is_no_tiling_list size is %zu[%s:%d]%lu %s:addr_num is 0, no need to distribute taskrtMalloc(&src_addr_, src_addrs_.size() * sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(src_addr_, src_addrs_.size() * sizeof(uint64_t), src_addrs_.data(), src_addrs_.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&dst_addr_, dst_addrs_.size() * sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(dst_addr_, dst_addrs_.size() * sizeof(uint64_t), dst_addrs_.data(), dst_addrs_.size() * sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:src_addr_list is %lu, dst_addr_list is %lurtMalloc(&no_tiling_addr_, no_tilings_.size() * sizeof(int32_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(no_tiling_addr_, no_tilings_.size() * sizeof(int32_t), no_tilings_.data(), no_tilings_.size() * sizeof(int32_t), RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&dest_is_tiling_addr_, dest_is_tilings_.size() * sizeof(int32_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(dest_is_tiling_addr_, dest_is_tilings_.size() * sizeof(int32_t), dest_is_tilings_.data(), dest_is_tilings_.size() * sizeof(int32_t), RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&fusion_offsets_addr_, fusion_offsets_.size() * sizeof(int32_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(fusion_offsets_addr_, fusion_offsets_.size() * sizeof(int32_t), fusion_offsets_.data(), fusion_offsets_.size() * sizeof(int32_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:src_addr_list is %lu, dst_addr_list is %lu, is_no_tiling_list is %lu, len %u, args_size_ is %urtMemcpy(args_, static_cast(args_size_), args, static_cast(args_size_), RT_MEMCPY_HOST_TO_DEVICE)Shape dim size:%zu must less than max dim size:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sShape dim size:%zu must less than max dim size:%ld.[%s:%d]%lu %s:Tensordesc type = %d, shape = original shape = %srtMemcpy(ValueToPtr(PtrToValue(args_) + sizeof(ProcessOutputInfo)), (static_cast(args_size_) - static_cast(sizeof(ProcessOutputInfo))), &tensor_desc, static_cast(sizeof(RuntimeTensorDesc)), RT_MEMCPY_HOST_TO_DEVICE)rtMemcpy(args_, static_cast(args_size_), &process, sizeof(ProcessOutputInfo), RT_MEMCPY_HOST_TO_DEVICE)modelEnqueuemodelWaitEndGraphbufferPrepareOutputbufferPrepareOutputWithTensorDescmodelPrepareOutputmodelPrepareOutputWithTensorDescdynOutputPostProcessmodelDequeuemodelBatchDequeuegatherDequeuemarkStepmodelReportStatusmodelRepeatzeroCpyzeroCpyV2modelPrepareNonZeroCopyInputcheckInputTensorDescFjRKSt10shared_ptrIN2ge6OpDescEEEN2ge12DavinciModelESt14default_deleteIA_hEN2ge8OperatorEN2ge21ActiveMemoryAllocatorEZN2ge11ExtraOpInfo16RecordArgsBeforeEvEUlvE_MN2ge12DavinciModelEFjRKSt10shared_ptrINS_6OpDescEEENSt6thread11_State_implINS_8_InvokerISt5tupleIJMN2ge12DavinciModelEFvvEPS4_EEEEEESt19_Sp_counted_deleterIPhSt14default_deleteIA_hESaIvELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge9TsMemMallELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN4gert19OpImplSpaceRegistryESaIS1_ELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge8OperatorELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge19CpuTaskModelDequeueELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge24CpuTaskModelBatchDequeueELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge25CpuTaskModelGatherDequeueELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge15CpuTaskZeroCopyELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge20CpuTaskProcessOutputELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge18CpuTaskActiveEntryELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge15CpuTaskMarkStepELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge19CpuTaskWaitEndGraphELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge19CpuTaskModelEnqueueELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge24CpuTaskModelReportStatusELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge18CpuTaskModelRepeatELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge30CpuTaskProcessInputsShapeCheckELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge27CpuTaskProcessInputsMemCopyELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge31ExpandableActiveMemoryAllocatorESaIS1_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge21ActiveMemoryAllocatorESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEoperator()operator()operator()operator()operator()SaveInnerExceptionDumpersUnbindHcomStreamAssignOpDebugRegisterInitModelProfPrintfModelProfOfModelLoadInitSupplyResourceUpdateSessionIdConstructFixedFmActiveMemBaseGetOpStreamGetAippInfoGetAippTypeGetCurrentShapeUpdateStepInfoUpdateStepInfoWithStreamClearProfilingDataCacheReportFusionOpInfoReportTaskTimeL1InfoReportModelExtInfoReportTaskTimeL0InfoReportProfilingDataReportProfilingDataSinkTimeProfileOnComputeDoneWithResultGetResultCodeResetResultConstructActiveMemBaseAddrsUnbindTaskSinkStreamDestroyStreamInitTaskInfoGetBlockDimSetStreamLockOrUnlocKSetZeroCopyAddrConstructActiveMemBaseAddrsUpdateKnownNodeArgsSetLogicalOutsideAddrsInitModelStreamMallocExMemFreeDynamicWorkspaceMemoryFreeWeightsMemFreeFileConstantMemTransAllVarDataSetRunAsyncListenerCallbackGetTotalMemSizeExcludeZeroCopyGetEventByStreamAllocateDvppChlResourceAllocateVdecChlResourceSuperKernelUpdateTaskIdLogModelDevMemInfoGetStreamFlagByIdLaunchPlatformInfosUpdateStaticModelArgsByFmSetQueIdsMallocDynamicMemoryUpdateOpIOAddrsIsGetNextSinkDynamicSetTSDeviceIsInputOfNetoutputCanZeroCopyUpdateOpInputValueAllocateQueueResourceSaveDfxInfooperator()InitFileConstantoperator()GetBlockDimInitConstantoperator()GetDynamicDimsNodeInfoInitRuntimeParamsInitSpaceRegistry~TsMemMallClearTaskAddrsInitTbeHandleSetEndGraphIdInitL1DataDumperArgsIsSuperKernelEnableSetCopyOnlyOutputDisableZeroCopyoperator()DisableZeroCopyInReuseMemoryModeReleaseTaskAllocateResourceSetDynamicSizeSuperKernelSaveTaskCreateOutputInitInputDescInfoInitFusionProfilingModelRunStopModelRunStartSaveNodeBasicProfInfoSaveNodeApiProfInfoDelDependentHcclStreamsAddHeadStreamSetDataDumperArgsInitLabelSetInitStreamActiveInitStreamSwitchBindModelStreamInitFixedFeatureMapCpuModelGatherDequeueCpuTaskModelZeroCopyCpuModelPrepareOutputBindControlOutputQueueBindOutputQueueCpuActiveStreamCpuMarkStepCpuWaitEndGraphCpuModelPostProcessCpuPostProcessCpuModelEnqueueCpuModelReportStatusCpuModelRepeatCpuModelDequeueBindControlInputQueueCpuInputCopyProcessCpuStaticInputShapeValidateGetInputOutputDescInfoGetInputOutputDescInfoSaveTaskProfInfoSaveProfilingInfoByPartitionCallSaveProfilingInfoByContextSaveFftsPlusProfilingTaskRecordArgsBeforestatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]cust_aicpu_kernelDistributeTaskInitModelInputsMergeCopyHostMemBuildOutputShapeInfoCopyOutputForNoZeroCopyCopyOutputDataCopyOutputDataLegacyCheckBufferSizeValidInitStreamInfoOfTaskPreProcessFileConstantsInitNoTaskAndDumpNeededNodeCpuModelBatchDequeueCpuModelDequeueBindInputQueueGetLabelGotoAddrInitAippTypeGetEventIdForBlockingAicpuOpInitWeightMemGetNodeAttrCopyInputDataCopyInputForNoTilingCheckUserAndModelSizeCopyInputForNoZeroCopyConstructZeroCopyIoActiveBaseAddrsUpdateAllNodeArgsSetDynamicBatchInfoInitStreamSwitchNInitCaseInitOutputDescInfoSaveProfilingTaskDescInfoGetProfilingTaskTypeSaveDfxInfooperator()UpdateOutputTensorShapeParseInputsDimsForDataParseInputsDimsForGetNextNoSinkAndDataParseInputsDimsInitOutputTensorInfoParseDynamicOutShapeGetCurDynamicDimsCopyModelDataNnExecuteCalculateMemAllocationsHitInfoCopyOnlyAddrCheckoperator()operator()operator()GenFmMemAllocationsGenFixedFmMemAllocationsGenInputMemAllocationsGenOutputMemAllocationsGenSliceOutputMemAllocationsGenMemAllocations   '( InitRuntimeResourceSaveSpecifyAttrValuesInitVariableMemInitNodescommitcommitFreeFeatureMapMemDestroyResourcesoperator()FreeInnerFeatureMapMemUpdateHbmFmMemBasesUpdateHbmFmMemBasesMallocFeatureMapMemInitFeatureMapAndP2PMemCopyInputDataWithMergeH2DGeMemcpyHandleInputDataGetRealOutputSizeOfCaseGetGearAndRealOutSizeInfo~DavinciModelGetGearAndRealOutShapeInfoInitRealSizeAndShapeInfoInitInputZeroCopyInitDataOpInitQueueDataNodesInitNetOutputFilterZeroCopyAddrsLoadWithQueueInitEntryTaskDoTaskSinkInitAippInfoGenInputOutputInfoInitIoNodesInitGenOutputTensorInfoAssembleListenerOutputReturnSequenceResultRun*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS9_12ComputeGraphEEEUlvE0_vEESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS9_12ComputeGraphEEEUlvE0_vEESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS9_12ComputeGraphEEEUlvE_vEESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS9_12ComputeGraphEEEUlvE_vEESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*ZN2ge12DavinciModel25UpdateStaticModelArgsByFmEvEUlvE_*ZZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS_12ComputeGraphEEENKUlvE_clEvEUlvE_*ZZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS_12ComputeGraphEEENKUlvE0_clEvEUlvE_*ZN2ge12DavinciModel27CpuStaticInputShapeValidateEvEUlRKSt6vectorIlSaIlEEE_*ZN2ge12DavinciModel3RunEvEUlvE_*NSt13__future_base11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS2_12ComputeGraphEEEUlvE_vEESaIiEFjvEEE*NSt13__future_base11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS2_12ComputeGraphEEEUlvE0_vEESaIiEFjvEEE*ZN2ge10ThreadPool6commitIZNS_12DavinciModel9InitNodesERKSt10shared_ptrINS_12ComputeGraphEEEUlvE_JEEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*ZN2ge10ThreadPool6commitIZNS_12DavinciModel9InitNodesERKSt10shared_ptrINS_12ComputeGraphEEEUlvE0_JEEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS3_12ComputeGraphEEEUlvE_vEESaIiEFjvEEESD_LN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge12DavinciModel9InitNodesERKSt10shared_ptrINS3_12ComputeGraphEEEUlvE0_vEESaIiEFjvEEESD_LN9__gnu_cxx12_Lock_policyE2EE[%s:%d]%lu %s:[Dumper] Save exception dumper of davinci model failed.session_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: FIXED_FEATURE_MAPABSOLUTEunknownOUTPUTFEATURE_MAPINPUT, logical_addr:0x, type:, index_in_type:, mem_type:, hit_count:, offset:0x, data_size:0xvector::_M_fill_insertvector::_M_range_insertdavinci_model.cc[%s:%d]%lu %s:Unbind hccl stream from model failed, Index: %zu[%s:%d]%lu %s:Assign null to ge_model[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RegisterDebugForModel] Register known shape op debug failed, ret: 0x%XGE_DAVINCI_MODEL_PROFILING[%s:%d][EVENT]%lu %s:Init davinci_model profiler flag:%d.[%s:%d]%lu %s:Init davinci_model profiler flag:%d.[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of GraphLoader::DavinciModel::Init is [%lu] micro second, name[%s]model_id[%u]graph_id[%u].[%s:%d]%lu %s:[GEPERFTRACE] The time cost of GraphLoader::DavinciModel::Init is [%lu] micro second, name[%s]model_id[%u]graph_id[%u].[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of GraphLoader::%s is [%lu] micro second.[%s:%d]%lu %s:[GEPERFTRACE] The time cost of GraphLoader::%s is [%lu] micro second.[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of GraphLoader::Distribute of task_type[%u] is [%lu] micro second.[%s:%d]%lu %s:[GEPERFTRACE] The time cost of GraphLoader::Distribute of task_type[%u] is [%lu] micro second.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][OpDebugRegister] failed, model_id: %u.rtCtxGetOverflowAddr(&globalworkspace_overflow_addr_)Param:ge_model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ge_model_]null is invalid[%s:%d]%lu %s:Set attr[%s] failed in updating session_id.[%s:%d]%lu %s:Update session id[%lu].[%s:%d]%lu %s:[ActiveMemBase][FIXED], model_id:%u, id:%u, active mem base:0x%lx, fm_idx:%u.stream_id:%zu in op:%s(%s) >= stream size:%zu in model:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] stream_id:%zu in op:%s(%s) >= stream size:%zu in model:%u[%s:%d]%lu %s:there is not AIPP related with index %u[Check][Param] Index %u is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Index %u is invalid[%s:%d]%lu %s:There is no aipp releated info with index %u[%s:%d]%lu %s:User does not set dynamic size[%s:%d]%lu %s:Start to get current shape[%s:%d]%lu %s:update step info, model id:%urtMemcpy(ValueToPtr(static_cast(global_step_addr_)), global_step_size_, &iterator_count_, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:update step info with stream, model id:%urtMemcpyAsync(ValueToPtr(static_cast(global_step_addr_)), global_step_size_, &iterator_count_, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE_EX, rt_model_stream_)[%s:%d]%lu %s:clear profiling data cache start.[%s:%d]%lu %s:clear profiling data cache end.[%s:%d]%lu %s:Report profiling fusion_op_info, model id is %u(origin_op_idx < profile.fusion_info.original_op_names.size())(((MsprofReportAdditionalInfo(static_cast(false), &profile.prof_fusion_data_lst[i], static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_NONE) || ((MsprofReportAdditionalInfo(static_cast(false), &profile.prof_fusion_data_lst[i], static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_UNINITIALIZE))[%s:%d]%lu %s:Do not report l1 info.[%s:%d]%lu %s: ErrorNo: %u(%s) %sReport profiling fusion op info failed(((MsprofReportCompactInfo(static_cast(false), &node_basic_info.node_basic_info, static_cast(sizeof(MsprofCompactInfo)))) == MSPROF_ERROR_NONE) || ((MsprofReportCompactInfo(static_cast(false), &node_basic_info.node_basic_info, static_cast(sizeof(MsprofCompactInfo)))) == MSPROF_ERROR_UNINITIALIZE))((gert::GlobalProfilingWrapper::ReportTensorInfo(model_load_event_.threadId, false, task_desc_info)) == ge::SUCCESS)[%s:%d]%lu %s:Report profiling id map info. model name is %s, hash is %zu((gert::GlobalProfilingWrapper::ReportGraphIdMap( load_end_time_, tid, {std::numeric_limits::max(), model_id}, false, model_name_hash)) == ge::SUCCESS)((gert::GlobalProfilingWrapper::ReportGraphIdMap(load_end_time_, tid, {graph_id, model_id}, false, model_name_hash)) == ge::SUCCESS)[%s:%d]%lu %s:Do not report l0 info.[%s:%d]%lu %s: ErrorNo: %u(%s) %sReport profiling model ext info failed(((MsprofReportAdditionalInfo(static_cast(false), &context_info_id.context_id_info, static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_NONE) || ((MsprofReportAdditionalInfo(static_cast(false), &context_info_id.context_id_info, static_cast(sizeof(MsprofAdditionalInfo)))) == MSPROF_ERROR_UNINITIALIZE))(((MsprofReportApi(static_cast(false), &launch_api.api)) == MSPROF_ERROR_NONE) || ((MsprofReportApi(static_cast(false), &launch_api.api)) == MSPROF_ERROR_UNINITIALIZE))[%s:%d]%lu %s:Report profiling data.(((MsprofReportEvent(static_cast(false), &model_load_event_)) == MSPROF_ERROR_NONE) || ((MsprofReportEvent(static_cast(false), &model_load_event_)) == MSPROF_ERROR_UNINITIALIZE))Report profiling task time l0 info failed.((ReportTaskTimeL0Info(prof_model_id)) == ge::SUCCESS)Report profiling task time l1 info failed((ReportTaskTimeL1Info()) == ge::SUCCESS)[%s:%d]%lu %s:[Profiling] graph id %u has been reported.[%s:%d]%lu %s:Report profiling model execute info in, model id is %u[%s:%d]%lu %s:Report profiling model execute info out, model id is %ulistener_ is nullptr, check invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]listener_ is nullptr, check invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][OnComputeDone] failed, model_id:%u, data_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] listener_ is null![%s:%d]%lu %s:[ActiveMemBase], model_id:%u, id:%zu, active mem base:0x%lx[%s:%d]%lu %s:Davinci model: %u start to unbind streams.[%s:%d]%lu %s:Unbind stream from model failed! Index: %zu[%s:%d]%lu %s:Unbind stream failed![%s:%d]%lu %s:Davinci model: %u success to unbind streams.[%s:%d]%lu %s:Davinci model: %u start to destroy stream.[%s:%d]%lu %s:InitTaskInfo in, task size %d[%s:%d]%lu %s: ErrorNo: %u(%s) %smodel args manager init failed, model_id: %u.[%s:%d]%lu %s:InitTaskInfo out[%s:%d]%lu %s:Unknown kernel type, record block dim as 0.[%s:%d]%lu %s:try to set lock flag %d to stream %prtSetStreamSqLock(stm)rtSetStreamSqUnlock(stm)[%s:%d]%lu %s:[ZCPY] SetZeroCopyAddr for node %s.[%s:%d]%lu %s:[ActiveMemBase][FM], model_id:%u, id:%u, active mem base:0x%lx, fm_idx:%u.[%s:%d]%lu %s:[ActiveMemBase][INPUT], model_id:%u, id:%u, active mem base:0x%lx, input_idx:%u.[%s:%d]%lu %s:[ActiveMemBase][OUTPUT], model_id:%u, id:%u, active mem base:0x%lx, output_idx:%u[%s:%d]%lu %s:DavinciModel::UpdateKnownNodeArgs begin((ConstructActiveMemBaseAddrs(inputs, outputs)) == ge::SUCCESS)((args_manager_.UpdateForExecute(allocation_ids_to_active_base_addr_, rt_model_stream_)) == ge::SUCCESS)[%s:%d]%lu %s:Set logical outside device addr for 0x%lx, is tiling:%d[Check][Param] NnExecute not support mix execute.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] NnExecute not support mix execute.Param:reusable_stream_allocator_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:reusable_stream_allocator_]null is invalid((reusable_stream_allocator_->GetOrCreateRtStream(rt_model_stream_, runtime_model_id_, priority_, stream_flags)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sMallocExMem fail, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[RtFree][Memory] failedweights memory in inference networkfileconstant memory in inference network[%s:%d]%lu %s: ErrorNo: %u(%s) %sfailed to free Weight.[%s:%d]%lu %s:Need not to free fileconstant memory.[%s:%d]%lu %s: ErrorNo: %u(%s) %sfailed to free fileconstant[%s:%d]%lu %s:Finish to free fileconstant memory. offset:%ld addr:0x%lx[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][TransAllVarData] failed, graph:%s, session_id:%lu, graph_id:%u, device_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Copy][CopyVarData] failed, graph:%s, session_id:%lu, graph_id:%u, device_id:%uParam:listener_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:listener_]null is invalidtotal mem size[%lu] is less than zero copy size[%ld] [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][TotalMemSizeExcludeZeroCopy] failed, total mem size[%lu] is less than zero copy size[%ld]Get event failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Event] Get event failed[%s:%d]%lu %s:[%s] Channel resource allocation with stream id [%d] is complete[%s:%d]%lu %s:[%s] Vdec channel resource allocation with stream id [%d] is complete[%s:%d]%lu %s:UpdateTaskId: UpdateSKTTaskId [%u], stream id [%u][%s:%d][EVENT]%lu %s:model_metrics:name=%s, alloc_dev_mem=%lu B, shared_dev_mem=%lu B, device_id=%u[%s:%d]%lu %s:model_metrics:name=%s, alloc_dev_mem=%lu B, shared_dev_mem=%lu B, device_id=%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid stream id %u.((host_addr) != nullptr)Failed to memset host context buffer.((memset_s(host_addr.get(), total_size, 0, total_size)) == EOK)rtMalloc(&platform_infos_addr_, static_cast(total_size), RT_MEMORY_HBM, GE_MODULE_NAME_U16)((memcpy_s(&host_addr[sizeof(platform_infos_)], serialized_size, serialized_str.data(), serialized_size)) == EOK)((args) != nullptr)rtMemcpy(platform_infos_addr_, total_size, host_addr.get(), total_size, RT_MEMCPY_HOST_TO_DEVICE)Init device platform info failed.((rtAicpuInfoLoad(args_addr, launched_size)) == 0)[%s:%d]%lu %s:Succeed to launch platform info load task.[%s:%d]%lu %s:Update cpu model args, model_id:%urtStreamCreate(&stream, 0)((args_manager_.UpdateForExecute(allocation_ids_to_active_base_addr_, stream)) == ge::SUCCESS)[%s:%d]%lu %s:Sync stream successfully, model_id: %u[%s:%d]%lu %s:Update static model args, model_id: %uParam input_queue_attrs.size:%zu and output_queue_attrs.size:%zu is empty,model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Param is empty, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[RtMemset][Memory] failed, ret = %drtMemset failed, ret = %d.[%s:%d]%lu %s:Malloc new memory succeeded. size = %zu[%s:%d]%lu %s:Disable exception dump, no need update.[%s:%d]%lu %s:[Update][OpIOAddrs] No need to update op input output addr.[%s:%d]%lu %s:[Update][OpIOAddrs] Find op desc failed, task_id: %u, stream_id: %u.[%s:%d]%lu %s:[Update][OpIOAddrs] Op[%s] input size[%zu] and output size[%zu] is not equal to io addr size[%zu][%s:%d]%lu %s:[Update][OpIOAddrs] Op [%s] update input output addr success.[%s:%d]%lu %s:ATTR_GETNEXT_SINK_DYNMAIC has been set and is true.[%s:%d]%lu %s:Set TSDevice: %u.rtSetTSDevice(core_type)indeterminatetrue[%s:%d]%lu %s: ErrorNo: %u(%s) %sPeer node of net-output %s input %d is invalid[%s:%d]%lu %s:Net-output %s input %d from %s output %d can zero copy: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Invalid queue_id_idx: %d, number of inputs = %zurtMemcpy(ValueToPtr(input_addresses[static_cast(input_index)]), static_cast(tensor_size), &queue_id, sizeof(queue_id), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Queue id index is not a const (actually is %s), cannot update value[%s:%d]%lu %s:[%s] Input [%d] updated with queue id [%u][%s:%d]%lu %s:Save dfx info, task_id=%u, stream_id=%u, op_idx=%lld.[%s:%d]%lu %s:op: %s is null.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:file constant op:%s is ready(!v_output_addr.empty())((TensorUtils::GetSize(*tensor_desc, weight_size)) == ge::SUCCESS)[%s:%d]%lu %s:const op:%s has no weight data.[%s:%d]%lu %s:[IMAS]Init FileConstant memcpy graph_%u type[V] name[%s] output[%d] memaddr[%p] mem_size[%ld][%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get file path.Param:external_weight_manager is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:external_weight_manager]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy data to file constant.[%s:%d]%lu %s:Finish to copy data to device memory of file constant.rtSetDevice(device_id_)[%s:%d]%lu %s:FftsPlus mixaicaiv profiling blockdim: %u, master blockdim: %u, slave ratio: %u, op_name: %s[%s:%d]%lu %s:FftsPlus aicaiv profiling blockdim: %u, op_name: %s[%s:%d]%lu %s:FftsPlus aicpu profiling blockdim: %u, op_name: %sweight.size:%zu size.size:%zu addr.size:%zu in Node:%s has empty, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sconst op:%s not set output((tensor) != nullptr)Output size:%ld < weight size:%zu in op:%s(%s) model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Output size:%ld < weight size:%zu in op:%s(%s), model_id:%u[%s:%d]%lu %s:[IMAS]InitConstant memcpy graph_%u type[V] name[%s] output[%d] memaddr[%p] mem_size[%lu] datasize[%zu].[%s:%d]%lu %s:Copy weight to device, node:%s, weight size:%zurtMemcpy(v_output_addr[0U], static_cast(v_output_size[0U]), tensor->GetData().data(), tensor->GetData().size(), RT_MEMCPY_HOST_TO_DEVICE)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:input_anchor count of %s is %zu.kGetDynamicDimsCountinput_countParam: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:Start get info of %s.input addr size:%zu or input size:%zu in op:%s(%s) has empty, model_id:%u check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] input addr size:%zu or input size:%zu in op:%s(%s) is empty, model_id:%uinput_desc_index:%zu in op:%s(%s) shape dim is empty, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] input_desc_index:%zu in op:%s(%s) shape dim is empty, model_id:%u[%s:%d]%lu %s:Shape of cur dynamic dims is %zu, size is %ld, addr is %p.((ModelUtils::InitRuntimeParams(ge_model_, runtime_param_, device_id_)) == ge::SUCCESS)[%s:%d]%lu %s:InitRuntimeParams: %s.[%s:%d]%lu %s:Space registry already exist.[%s:%d]%lu %s:Load space registry from so in root model.[%s:%d]%lu %s:No so in root model, load space registry from default so![%s:%d]%lu %s:No default registry exist, if tiling needed, maybe execute failed![%s:%d]%lu %s:Load [%u] so from root model!((space_registry_) != nullptr)((space_registry_->GetOrCreateRegistry(so_list, root_model->GetSoInOmInfo())) == ge::SUCCESS)[%s:%d]%lu %s:Dynamic kernel, name: %s.[%s:%d]%lu %s:Static kernel, name: %s.need_gentask_atomic[%s:%d]%lu %s:start save end_graph_info to dumper, task_id is %u, stream_id is %urtMalloc(&l1_fusion_addr_, kModelL1FusionOpMByteSize, RT_MEMORY_HBM, GE_MODULE_NAME_U16)Call rtDumpAddrSet failed, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtDumpAddrSet] failed, model_id:%u[%s:%d]%lu %s:skt close when dump open.SKT_ENABLE[%s:%d]%lu %s:skt close when env is env close.[%s:%d]%lu %s:The value of ge.l1Fusion in ge_model is %d.[%s:%d]%lu %s:[ZCPY][disable zero copy] addrs 0x%lx, no task feed this output, model_id:%u.((copy_only_addrs_.Insert(static_cast(virtual_args_addr.first))) == ge::SUCCESS)[%s:%d]%lu %s:[ZCPY][disable zero copy] addrs %p, model_id:%u.((copy_only_addrs_.Insert(PtrToValue(addr))) == ge::SUCCESS)((DisableZeroCopy(ValueToPtr(addr))) == ge::SUCCESS)[%s:%d]%lu %s:Addr %p reference or reused from input and was determined by data node[%s:%d]%lu %s:[ZCPY][disable zero copy] addrs %p of %s input %zu, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Release][Task] failed, model id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Release][Task] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get resource list, node name = %sresource_type[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Failed to get resource type[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnsupported resource type: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Failed to Alloce %s[%s:%d]%lu %s:User has not set dynammic data[%s:%d]%lu %s:Save Current task [op_name:%s, block_dim:%u, size:%zu].input_desc index:%zu in op:%s(%s) not exist, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputDescPtr] input_desc index:%zu in op:%s(%s) not exist, model_id:%u[%s:%d]%lu %s:netoutput[%s] [%zu]th input has special size [%ld]Param: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:data[%s] output has special size [%ld][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputSize] failed in op: %s.Get op by index failed, as index:%u out of range[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Op] failed, as index:%u out of range[%s:%d]%lu %s:Add fusion task, profile info size: %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Destoy][Thead] failed, model id: %u.[Check][Param] Model already started, model id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Model already started, model id:%u.[%s:%d]%lu %s:model thread create success, model id:%u.[%s:%d]%lu %s:Add op %s to basic info list.[%s:%d]%lu %s:Add op %s to api list.[%s:%d]%lu %s:delete stream_id:%u from hcom_streams, node:%s, op_type:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] active_stream_list is empty in model:%u, check invalid[%s:%d]%lu %s:Just one active stream, take as head stream.[%s:%d]%lu %s:Multiple active stream: %zu, create head stream.((reusable_stream_allocator_->GetOrCreateRtStream(rt_head_stream_, runtime_model_id_, priority_, (0x01U))) == ge::SUCCESS)rtModelBindStream(rt_model_handle_, rt_head_stream_, static_cast(RT_INVALID_FLAG))Param:active_entry is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:active_entry]null is invalid((reusable_stream_allocator_->GetOrCreateRtStream(rt_entry_stream_, runtime_model_id_, priority_, (0x08U))) == ge::SUCCESS)rtModelBindStream(rt_model_handle_, rt_entry_stream_, static_cast(RT_HEAD_STREAM))rtGetDevice(&tmp_device_id)rtMalloc(&malloc_mem, sizeof(uint64_t), RT_MEMORY_HBM, GE_MODULE_NAME_U16)[%s:%d]%lu %s:Malloc global_step_addr: 0x%lx[%s:%d]%lu %s:[Set][KnownNodeLoopAddr] succeed, global_step_addr: 0x%lx[%s:%d]%lu %s:[Set][LoopAddr] succeed, global_step_addr: 0x%lxGet Attr:%s in op:%s(%s) fail, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s(%s) fail, model_id:%ulabel_switch_index:%u in Node:%s >= label_num:%u in model:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] label_switch_index:%u in Node:%s >= label_num:%u in model:%ulabel_switch_index:%u in op:%s(%s) is already used in model:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] label_switch_index:%u in op: %s(%s) is already used in model: %urtLabelCreateExV2(&rt_label, rt_model_handle_, stream)[%s:%d]%lu %s:InitLabelSet: label[%u]=%p stream[%zu]=%p[Get][Attr] active_stream_list in op:%s(%s) failed, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] active_stream_list in op:%s(%s) failed, model_id:%u.[%s:%d]%lu %s:flowctrl_op_index_map node:%s, active_stream_id=%u.[%s:%d]%lu %s:GetInt active_stream_list failed.[Check][Param] Attr: active_stream_list.size:%zu in op:%s(%s) != 1, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr: active_stream_list.size:%zu in op:%s(%s) != 1, model_id:%u[%s:%d]%lu %s:flowctrl_op_index_map node:%s, true_stream_id=%u.[%s:%d]%lu %s:rtModelBindStream[%zu] stream: %p, flag: %#xrtModelBindStream(rt_model_handle_, stream_list_[i], static_cast(bind_flag))fix size:%zu less than fix mem size:%zu(fixed_mem_size >= fixed_mem_size_)memory_size:, logic_memory_base:, memory_base:0x, memory_type:, memory_key:, is_fixed_addr_prior:[%s:%d]%lu %s:Update one fixed sub feature map memory info with details: [%s][%s:%d]%lu %s:fixed_mem_size_: %zu, io_mem_base_: %zu [%s:%d]%lu %s:Set CpuKernel model gather dequeue task enter.Param:dequeue_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dequeue_task]null is invalid[%s:%d]%lu %s:Set CpuKernel model gather dequeue task success.[%s:%d]%lu %s:Set CpuKernel model zero_copy task enter.Param:zero_copy is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:zero_copy]null is invalid[%s:%d]%lu %s:Set CpuKernel model zero_copy task success.[%s:%d]%lu %s:Set CpuKernel model enqueue task enter.input_mbuf_list_ is empty, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] input_mbuf_list_ is empty, model_id:%uParam:prepare_output is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:prepare_output]null is invalid[%s:%d]%lu %s:Set CpuKernel model enqueue task success.rtModelBindQueue(rt_model_handle_, queue_id, RT_MODEL_OUTPUT_QUEUE)[%s:%d]%lu %s:BindOutputQueue: graph_%u index[%zu] bind queue[%u] success[%s:%d]%lu %s:BindOutputQueue: output[%zu] support no tilingCan't find in output_data_info, size:%zu, index:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Can't find in output_data_info, size:%zu, Index:%zu, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Index:%zu out_data_info in model:%u is empty, check invalid[%s:%d]%lu %s:BindOutputToQueue: graph_%u index[%zu] queue id[%u] input addr[0x%lx] input size[%u][%s:%d]%lu %s:BindOutputQueue: output[%zu] doesn't support zero copy[%s:%d]%lu %s:Set CpuKernel active stream task enter.[%s:%d]%lu %s:Set CpuKernel active stream task success.[%s:%d]%lu %s:Set CpuKernel mark step task enter.Param:mark_step is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:mark_step]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sCpuKernel mark step task init failed.[%s:%d]%lu %s:Set CpuKernel mark step task success.[%s:%d]%lu %s:Set CpuKernel wait end graph task enter.Param:wait_endgraph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:wait_endgraph]null is invalid[%s:%d]%lu %s:Set CpuKernel wait end graph task success.[%s:%d]%lu %s:Set CpuKernel model post process task enter.Param:post_process is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:post_process]null is invalid[%s:%d]%lu %s:Set CpuKernel model post process task success.Index:%zu can't find in output_data_info_ size:%zu in model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Index:%zu can't find in output_data_info_ size:%zu in model_id:%u[%s:%d]%lu %s:CpuPostProcess: graph_%u index[%zu] input addr[0x%lx] input size[%u][%s:%d]%lu %s:CpuPostProcess: output[%zu] support no tiling[%s:%d]%lu %s:CpuPostProcess: output[%zu] need to non zero copy[%s:%d]%lu %s:CpuPostProcess: output[%zu] support zero copy, do nothingParam:model_enqueue is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_enqueue]null is invalid[%s:%d]%lu %s:Set CpuKernel report status task enter.Param:model_report_status is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_report_status]null is invalid[%s:%d]%lu %s:Set CpuKernel report status task success.[%s:%d]%lu %s:Set CpuKernel repeat task enter.Param:model_repeat is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_repeat]null is invalid[%s:%d]%lu %s:Set CpuKernel repeat task success.[%s:%d]%lu %s:Set CpuKernel model dequeue task enter.[%s:%d]%lu %s:Set CpuKernel model dequeue task success.[%s:%d]%lu %s:using control input queue, queue_id = %urtModelBindQueue(rt_model_handle_, queue_id, RT_MODEL_INPUT_QUEUE)Index:%zu can't find in input_data_info_ size:%zu in model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Index:%zu can't find in input_data_info_ size:%zu in model_id:%u[%s:%d]%lu %s:Input id:%u is data partition[%s:%d]%lu %s:Input id:%u is tensor desc partition.rtMemcpy(&data_ptr, sizeof(data_ptr), tensor_desc, sizeof(data_ptr), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Data index:%u shold in range of mbuf size:%zu[%s:%d]%lu %s:Copy input process task: index:%zu, src muff addr:0x%lx, dst addr:0x%lx, data size:%lu, input fusion offset:%d.Param:input_memcp_task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_memcp_task]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sCpuTaskProcessInputsMemCopy task init failed.[%s:%d]%lu %s:All inputs support zero copy[%s:%d]%lu %s:GetStaticModelShapeConfigRet is Failed, skip.[%s:%d]%lu %s:Input [%s] is not static shape, skip.[Check][Param] Index:%zu can't find in input_data_info_ size:%zu in model_id:%u[Check][Param] Data index:%u shold in range of mbuf size:%zu[Check][Param] Data index:%u shold in range of input_fusion_offsets_ size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Data index:%u shold in range of input_fusion_offsets_ size:%zu[%s:%d]%lu %s:Copy input process task: index:%zu, src muff addr:0x%lx, input fusion offset:%d.Param:input_shape_check is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_shape_check]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sCpuTaskProcessInputsShapeCheck task init failed.[%s:%d]%lu %s:data_op_list_ is empty or input_desc size is not 1.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputDescInfo] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][OutputDescInfo] failed, model_id: %u[%s:%d]%lu %s:Add op %s to task list.[%s:%d]%lu %s:Add partition call node %s to prof list.[%s:%d]%lu %s:Task type %u is invalid, do not save profiling task info.((op_desc) != nullptr)[%s:%d]%lu %s:Skip ffts+ op %s which has already been saved.UndefinedMemSet[%s:%d]%lu %s:FftsPlus node not found for index: %u[%s:%d]%lu %s:No api info in this task and do not save profiling task info.[%s:%d]%lu %s:[Call][RtMallocHost] failed, size:%zu, ret:0x%X[%s:%d]%lu %s:[Call][RtMemcpy] failed, size:%zu, ret:0x%Xargs before execute: [%s:%d]%lu %s:DistributeTask in: model task: %d, cpu task: %zu((SetStreamLockOrUnlocK(stream_list_[0], true)) == ge::SUCCESS)Param:task is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task]null is invalidCHECK failed: (index) < (current_size_): Param:task_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:task_info]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Distribute] for Task[%d] fail[%s:%d]%lu %s:task id is %u, op num is %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][Profiling] failed, model_id: %u.((args_manager_.OnTaskDistributed(static_cast(task_index), task_info.get())) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Load][DumpInfo] failed, model_id: %u.[%s:%d]%lu %s:DistributeTask out[%s:%d]%lu %s:[InputMergeCopy] has_no_tiling_input: %d, input fusion size is 0, no need to merge copy.[%s:%d]%lu %s:[InputMergeCopy]Input[%u] size %lu is bigger than input fusion size %lu, no need merge-copy.[%s:%d]%lu %s:[InputMergeCopy]input index %u, logic addr %lu, mem size %lu, tensor size %lu[%s:%d]%lu %s:[InputMergeCopy]no need merge h2d copy, fusion input num: %zu[%s:%d]%lu %s:[InputMergeCopy][New] host buffer failed, size:%lu[%s:%d]%lu %s:[InputMergeCopy]host base: %p, first input index: %u, fusion input num: %zu, size:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %soutput_data_info_[%zu] is empty.rtMemcpy(&tensor_desc, sizeof(RuntimeTensorDesc), output->second.GetBasicAddr(), sizeof(RuntimeTensorDesc), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %stensor[%zu] CalcTensorMemSize failed.[%s:%d]%lu %s:Output [%zu] is no tiling, out desc addr[%p], data addr[%#lx]. skipinvalid output_index:%u, blobs size:%zu((output_idx < blobs.size()))[%s:%d]%lu %s: ErrorNo: %u(%s) %sBuildOutputShapeInfo failed, output_idx:[%ld].invalid buffer.length:%u, data size:%zu((data_size <= buffer.length))[%s:%d]%lu %s:Length of data is zero, No need copy. output tensor index=%uinvalid id:%zu, active_allocations size:%zu((id < allocation_ids_to_active_base_addr_.size()))[%s:%d]%lu %s:[ForceCopy%s] model_id:%u, output_index:%zu, id:%zu, offset:0x%lx, base:0x%lx, dst_addr:%p, dst_size:%lu, src_addr:%p, src_size:%lu, async_mode:%d, kind:%drtMemcpyAsyncWithoutCheckKind(buffer.data, buffer.length, src_addr, data_size, kind, rt_model_stream_)rtMemcpy(buffer.data, buffer.length, src_addr, data_size, kind)((CopyOutputForNoZeroCopy(output_data.blobs, output_indexes_to_copy_info_)) == ge::SUCCESS)((CopyOutputForNoZeroCopy(output_data.blobs, host_pls_output_indexes_to_copy_info_)) == ge::SUCCESS)asyncsyncoutput_data.blobs.size:%zu != output_data_info.size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] output_data.blobs.size:%zu != output_data_info.size:%zu, model_id:%uindex:%u in output_data_info_ >= output_data.blobs.size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] index:%u in output_data_info_ >= output_data.blobs.size:%zu, model_id:%u[%s:%d]%lu %s:No need to check output data size.[%s:%d]%lu %s: ErrorNo: %u(%s) %sinvalid output buffer length[%zu], data size[%zu].[%s:%d]%lu %s:Tensor data size=%lu, buffer size=%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Buffer.length:%lu in output blob < data_size:%lu in output_data_info, index:%u, model_id:%u[%s:%d]%lu %s:CopyPlainData memcpy %s graph_%u type[F] output[%u] dst[%p] memaddr[%p] mem_size[%lu] datasize[%lu]rtMemcpyAsync(buffer.data, buffer.length, output_addr, copied_size, kind, rt_model_stream_)rtMemcpy(buffer.data, buffer.length, output_addr, copied_size, kind)Param:model_task_def is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_task_def]null is invalid[%s:%d]%lu %s:task_size: %d, stream num: %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set external path:%s.[%s:%d]%lu %s:Var resource has been inited. FileConstants need not be preprocess.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOutput param invalid: output_offset=%zu, outputs=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get file constant size.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOutput size is empty[%s:%d]%lu %s:FileConstant weight size is:%ld output size:%zu alloc_size:%ldMallocFileConstantMem fail, weights_size:%ld, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][Memory] for weight failed. size:%ld, model_id:%u[%s:%d]%lu %s:node[%s] has no task, saving op_desc and addr for dump.rtMalloc(&addr, static_cast(addr_size), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(addr, addr_size, device_addrs.data(), addr_size, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Set CpuKernel model batch dequeue task enter.Failed to attr: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to attr: %s[%s:%d]%lu %s:align interval = %uFailed to attr: %s, input_index = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to attr: %s, input_index = %zu[%s:%d]%lu %s:Input index = %zu, align_offset = %u[%s:%d]%lu %s:Set CpuKernel model batch dequeue task success.[%s:%d]%lu %s:Dequeue task has been added already, queue id = %u, index = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Input not match: tensor num=%zu, Queue id index=%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] the %zu input_queue not set data_info.[%s:%d]%lu %s:BindInputToQueue: graph_%u index[%zu] queue id[%u] output addr[0x%lx] output size[%u]Param label index:%u >= label_list_.size:%zu in model:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Param label index:%u >= label_list_.size:%zu in model:%uParam:label_list_[static_cast(label_index)] is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:label_list_[static_cast(label_index)]]null is invalidrtMalloc(&arg_addr, static_cast(arg_size), mem_type, GE_MODULE_NAME_U16)rtLabelListCpy(label_used.data(), static_cast(label_used.size()), arg_addr, arg_size)Attr:%s data_mode:%s in op:%s(%s), model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s data_mode:%s in op:%s(%s), model_id:%u, check invalid[%s:%d]%lu %s:Find aipp_data [%s] index %u from index %u[%s:%d]%lu %s:Can not find aipp data node from index %u[%s:%d]%lu %s:Get event id for aicpu blocking op:%srtGetEventID(it->second, &event_id)rtEventCreateWithFlag(&rt_event, RT_EVENT_WITH_FLAG)Call rtGetEventID fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtGetEventID failed, ret: 0x%XCall InitWeightMem more than once, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] call InitWeightMem more than once, model id:%u.The model[]() need weight size: , but the user input is: reasonE19025[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid mem param. %sMallocWeightsMem fail, weights_size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][Memory] for weight failed. size:%zu, model_id:%u[%s:%d]%lu %s:[IMAS]InitWeightMem graph_%u MallocMemory type[W] memaddr[0x%lx] mem_size[%zu]rtMemcpy(ValueToPtr(weights_mem_base_), weights_size, ge_model_->GetWeightData(), weights_size, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:copy weights data to device[%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:%sThe required input is not provided by user, total input data num is [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Blobs not match: blobs=%zu, model input num=%zu, required index=%u, op_name(%s)[%s:%d]%lu %s:No data need to copy, index=%u[Check][Param] input data size(%lu) is bigger than model required size(%lu), op_name(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] input data size(%lu) is bigger than model required size(%lu), op_name(%s)[%s:%d]%lu %s:[Check][Param]invalid input_no_tiling_flag_ size[%zu], index[%u]rtMemcpy(&tensor_desc, sizeof(RuntimeTensorDesc), mem_addr, sizeof(RuntimeTensorDesc), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s: ErrorNo: %u(%s) %sinvalid index[%zu], input shape size[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %sinvalid InputData, input shape[%zu]'s dim size[%zu] > kMaxDimSize[%ld]rtMemcpy(mem_addr, sizeof(RuntimeTensorDesc), &tensor_desc, sizeof(RuntimeTensorDesc), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:copy tensor desc for no tiling, data_addr:%p, dim:%ld[%s:%d]%lu %s:CopyPlainData memcpy graph_%u type[F] input[%s] rank[%u] dst[%p] src[%p] mem_size[%lu] datasize[%lu]rtMemcpy(mem_addr, data_size, data_buf.data, data_buf.length, kind)[%s:%d]%lu %s:No need to check user %s and model size.[%s:%d]%lu %s:User %s size(bytes) [%ld] is bigger than om size [%ld], may cause inference problem, please check model input[%s:%d]%lu %s:This is dynamic aipp model, no need to judge smaller user size[%s:%d]%lu %s:The user %s size [%ld] is smaller than model size [%ld] and is in the range of 64 bytesThe memory provided by the user, plus bytes for data alignment, is smaller than op_size in the model, which is an illegal behavior. size=, op_size=[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] %s size:%ld from user add align:%ld < op_size:%ld in model:%uinvalid user input index:%zu, while model blobs size:%zu((input_idx < blobs.size()))[%s:%d]%lu %s:Length of data is zero, No need copy. intput tensor index=%zu(CheckUserAndModelSize(static_cast(buffer.length), static_cast(data_size), true))invalid user input id:%zu, active mem base size:%zu[%s:%d]%lu %s:[ForceCopy] model_id:%u, input_index:%zu, id:%zu, offset:0x%lx, base:0x%lx, dst_addr:%p, dst_size:%lu, src_addr:%p, src_size:%lu, async_mode:%d, kind:%drtMemcpyAsync(des_addr, data_size, buffer.data, src_len, kind, rt_model_stream_)rtMemcpy(des_addr, data_size, buffer.data, src_len, kind)hostdevice(id != (4294967295U))InputOutputCheck %s size failed, index %u, user size %llu, op size %llu.(CheckUserAndModelSize(static_cast(buffer.length), static_cast(logical_mem_allocations_[id].data_size), is_input))[Check][Memory] No enough memory for zero copy, mem_size:%u while required total_size:%u((mem_base_size_ >= TotalMemSize()))[%s:%d]%lu %s:[%s] index:%u, user_addr:0x%lx, active_base_addr:0x%lx, pls:%s.The number of IO tensor from user and the number of tensor in the model are not equal.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] data size:%zu from model and input blobs.size:%zu are not equal or output size:%zu from model and output blobs size:%zu are not equal.((ConstructZeroCopyIoActiveBaseAddrs(zero_copy_input_indexes_, input_index_to_allocation_ids_, input_data.blobs, true, input_index_to_active_mem_base_addrs_)) == ge::SUCCESS)((ConstructZeroCopyIoActiveBaseAddrs(zero_copy_output_indexes_, output_index_to_allocation_ids_, output_data.blobs, false, output_index_to_active_mem_base_addrs_)) == ge::SUCCESS)((UpdateKnownNodeArgs(input_index_to_active_mem_base_addrs_, output_index_to_active_mem_base_addrs_)) == ge::SUCCESS)Get Attr:%s from op:%s(%s) fail, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s from op:%s(%s) fail, model_id:%u[%s:%d]%lu %s:StreamSwitchNOp node:%s, active_stream_id=%u.[%s:%d]%lu %s:Not multi-batch Node: %s[Check][Param] construct output failed, as index:%zu >= src name size:%zu, or index >= src index size:%zu, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] construct output failed, as index:%zu >= src name size:%zu, or index >= src index size:%zu, op:%s.output_super_kernel_[%s:%d]%lu %s:Node %s No api info in this task and do not save profiling task info._logic_stream_id_logic_attached_stream_id[%s:%d]%lu %s:Skip unsupported model task type: %d[%s:%d]%lu %s:Kernel type: %u, task type: %u[%s:%d]%lu %s:Model kernel type: %u, task type: %u[%s:%d]%lu %s:Save task info of op name %s, op type %s, task type %u.[%s:%d]%lu %s:Node not found for profiling, index: %u[%s:%d]%lu %s:Input shape is %s[%s:%d]%lu %s:No need to update output tensor shape[%s:%d]%lu %s:Output index[%zu] shape update to [%s][%s:%d]%lu %s:Output index[%zu] shape update from [%s] to [%s][%s:%d]%lu %s:Start parse input dims from data.[%s:%d]%lu %s:Input tensor dims is %s.[%s:%d]%lu %s:Start parse inputs dims when coexist data and getnext sink.Get Attr:%s from op:%s(%s) fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s from op:%s(%s) failNode:%s(%s) index:%lu >= param input_tensor.size:%zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Node:%s(%s) index:%zu >= param input_tensor.size:%zu[%s:%d]%lu %s:Shape dims of %ld data is %s.[%s:%d]%lu %s:Start parse input dims of %zu input tensor.[%s:%d]%lu %s:Data nodes count = %zu, getnext nosink nodes count = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Dims] from data failed, when data coexist with getnext nosink.[%s:%d]%lu %s:Need to get dims from aicpu op: GETDYNAMICDIMS.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][Dims] from getnext nosink failed, when data coexist with getnext nosink[%s:%d]%lu %s:Parse %zu inputs dims success.input_numGet input TensorSize in op:%s(%s) failed, input_index:%zu, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputTensorSize] in op:%s(%s) failed, input_index:%zu, model_id:%u[%s:%d]%lu %s:Output size is %ld, output shape is %s, no tiling is %d.[%s:%d]%lu %s:Shape from attr is %s[%s:%d]%lu %s:Start get cur dynamic dims.The number of tensor from user is not equal to the number of tensor in the graph. tensor in graph=, tensor from user=[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The input count of user:%zu should be equal to the data count of graph:%zuParam user_real_input_dims[%zu].size:%zu != user_input_dims[%zu].size:%zu invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The shape size:%zu of dynamic input:%s should equal to input shape:%zu[%s:%d]%lu %s:Cur dynamic dims is %s.Dynamic dims of user tensor is not exist in options. dims=[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Cur dynamic dims is %s, not exist in options.((UpdateAllNodeArgs(input_data, output_data)) == ge::SUCCESS)((CopyInputForNoZeroCopy(input_data.blobs, input_indexes_to_copy_info_)) == ge::SUCCESS)((CopyInputForNoZeroCopy(input_data.blobs, host_pls_input_indexes_to_copy_info_)) == ge::SUCCESS)[%s:%d]%lu %s:Model Run start, model id:%u, data index:%u, flag:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][ModelStream] failed, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Copy][ModelData] failed. model id: %u[%s:%d]%lu %s:The current_data.index=%u.[%s:%d]%lu %s:update step[%lu] info to device[%s:%d]%lu %s: ErrorNo: %u(%s) %sUpdateStepInfoWithStream failed[%s:%d]%lu %s:rtModelExecute start, model id:%u.[%s:%d]%lu %s:Abort model failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtStreamSynchronizeWithTimeout] failed, timeout:%d, ret:%d.rtStreamSynchronizeWithTimeout failed, stream synchronize timeout:%d, ret:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Invoke][rtStreamSynchronizeWithTimeout] failed, ret:%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Copy][OutputData] to user failed, model_id:%u.[%s:%d]%lu %s:Model run success, model id:%u.[%s:%d]%lu %s:rtModelExecute finished, model id:%u.[%s:%d]%lu %s:[mem allocation] model_id %u, %s.[%s:%d]%lu %s:[mem allocation] model_id %u, fm_hit_count:0x%lx, model_io_hit_count:0x%lx.[%s:%d]%lu %s:The num of copy only addr is %zu[%s:%d]%lu %s:[CopyOnlyAddrCheck][input] copy only addr:0x%lx match to copy info, input index:%u, %s[%s:%d]%lu %s:[CopyOnlyAddrCheck][output] copy only addr:0x%lx match to copy info, output index:%u, %s[%s:%d]%lu %s:[CopyOnlyAddrCheck][allocations] copy only addr:0x%lx match to logical mem allocations table, %s[%s:%d]%lu %s:[CopyOnlyAddrCheck][null] copy only addr:0x%lx can not find in copy info and logical mem allocations table![%s:%d]%lu %s:[mem allocation][feature map] model_id %u, %s.[%s:%d]%lu %s:[mem allocation][fixed feature map] model_id %u, %s.[%s:%d]%lu %s:Data node is: %s, output size is %zu, virtual_addr size is %zu.Assert (output_size_list.size() == virtual_addr_list.size()) failed, expect actual mem_types.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Data[%s] failed: output size is %zu, virtual_addr size is %zu.[%s:%d]%lu %s:[mem allocation][input] model_id %u, input_index %u, op_name %s op_type %s not support zero copy, %s.model_id %u, input_index %u, op_name %s op_type %s not support zero copy((item.second->GetType() != REFDATA))[%s:%d]%lu %s:[mem allocation][input] model_id %u, input_index %u, op_name %s op_type %s, %s, tensor_size %lu[%s:%d]%lu %s:NetOutput node is: %s, input size is %zu, virtual_addr size is %zu.input_size_list.size()[%s:%d]%lu %s:In getnext sink dynamic scene, output size will minus 1 as GetNextDynamic is not model output, actual output size:%zu((tensor_desc) != nullptr)((TensorUtils::GetTensorSizeInBytes(*tensor_desc, data_size)) == ge::SUCCESS)[%s:%d]%lu %s:[mem allocation][output] model_id %u, output_index %u, logical_addr 0x%lx ret %u id %u offset 0x%lx.[%s:%d]%lu %s:[mem allocation][output] model_id %u, output_index %u, add output copy info, %s.[%s:%d]%lu %s:[mem allocation][output] model_id %u, %s.((GetTotalMemSizeExcludeZeroCopy(fm_mem_size)) == ge::SUCCESS)Param:compute_graph is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:compute_graph]null is invalidParam:node is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:node]null is invalidvirtual_addr_list.size() <= v_input_offset.size()[%s:%d]%lu %s:[mem allocation][output][slice] model_id %u, %s.((GenSliceOutputMemAllocations(output_op_list)) == ge::SUCCESS)((GenFmMemAllocations()) == ge::SUCCESS)((GenFixedFmMemAllocations()) == ge::SUCCESS)((GenInputMemAllocations(index_to_data)) == ge::SUCCESS)((GenOutputMemAllocations(output_op_list)) == ge::SUCCESS)[%s:%d]%lu %s:[mem allocation][absolute] model_id %u, %s.ascend_mbatch_get_dynamic_dims_node_ascend_mbatch_batch_MIXrtModelCreate(&rt_model_handle_, 0U)rtModelGetId(rt_model_handle_, &runtime_model_id_)[%s:%d]%lu %s:Stream %u is huge stream.[%s:%d]%lu %s:Stream id: %u, task num: %u.((reusable_stream_allocator_->GetOrCreateRtStream(stream, runtime_model_id_, priority_, stream_flags, task_num)) == ge::SUCCESS)[%s:%d]%lu %s:Logical stream index: %u, rtstream: %d, model: %u, stream flag: %u.runtime_param_.notify_numstatic_cast(runtime_param_.notify_types.size())((rtNotifyCreate(static_cast(device_id_), &rt_notify)) == 0)rtEventCreateWithFlag(&rt_event, static_cast(RT_EVENT_WITH_FLAG))[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][SetModelConfig] failed, model_id: %u.[%s:%d]%lu %s:Get op:%s attr:%s success.[%s:%d]%lu %s:[Init][Var] Variable max size do not set, no need to malloc max size mem.[%s:%d]%lu %s:var_mem_base_:0x%lx TotalVarMemSize():%zuMallocVarMemory fail, var_size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][VarMemory] failed, var_size:%zu, model_id:%u[%s:%d][EVENT]%lu %s:[IMAS]InitVariableMem graph_%u MallocMemory type[V] memaddr[0x%lx] mem_size[%zu][%s:%d]%lu %s:[IMAS]InitVariableMem graph_%u MallocMemory type[V] memaddr[0x%lx] mem_size[%zu][%s:%d]%lu %s:runtime_param_.var_base:0x%lx((DisableZeroCopyNode(op_desc)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][Node] failed, Name:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sLoadAtomicWorkspace failed for [%s(%s)].[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit no task and dump needed node: %s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][TbeHandle] failed. op: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init nodes, graph:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][DataDumperArgs] failed, graph: %sGraphLoader::InitTbeHandle.[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second, call num is %lu[%s:%d]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second, call num is %luDavinciModel::InitNodes[%s:%d][EVENT]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second.[%s:%d]%lu %s:[GEPERFTRACE] The time cost of %s is [%lu] micro second.[%s:%d]%lu %s: ErrorNo: %u(%s) %sfailed to free FeatureMap[%s:%d]%lu %s:Succeed to free extend-size static featuremap memory.[%s:%d]%lu %s:Succeed to free featuremap memory.[%s:%d]%lu %s:Davinci model: %u start to destroy resources.[%s:%d]%lu %s:Destroy label failed, index: %zu.[%s:%d]%lu %s:Destroy notify failed, index: %zu[%s:%d]%lu %s:Destroy event failed, index: %zu[%s:%d]%lu %s:Destroy event failed[%s:%d]%lu %s:Davinci model: %u success to destroy resources.[%s:%d]%lu %s:Start to free inner feature mem:0x%lx[%s:%d]%lu %s: ErrorNo: %u(%s) %sAbort model failed![%s:%d]%lu %s:[Invoke][rtStreamSynchronizeWithTimeout] failed, timeout:%d, ret:%d.[%s:%d]%lu %s:No need Update feature memory base.hbm_fm_mem_bases.size()runtime_param_.fm_memory_infos.size()[%s:%d]%lu %s:Update one sub feature map memory info with details: [%s]((UpdateRuntimeParamBase()) == ge::SUCCESS)size:%zu less than mem size:%zu(size >= mem_size)((UpdateHbmFmMemBases(hbm_fm_mem_bases, size, is_init)) == ge::SUCCESS)feature map,used for op input and output((mem_allocator) != nullptr)Malloc feature map memory fail. malloced_memory_size[%ld] < mem_size[%zu], device_id[%u][%s:%d]%lu %s: ErrorNo: %u(%s) %sMalloc feature map memory fail. malloced_memory_size[%ld] < mem_size[%zu], device_id[%u][%s:%d]%lu %s: ErrorNo: %u(%s) %sFree feature map memory fail. device_id[%u]data size:%zu less than or equal fix mem size:%zu(data_size > fixed_mem_size_)((temp_mem_base) != nullptr)((UpdateHbmFmMemBases(mem_base, mem_size, used_mem_size, true)) == ge::SUCCESS)[%s:%d]%lu %s:Update feature memory base success, model_id:%u, mem_base:%#lx, mem_size:%zu, used_mem_size:%zumem size:%zu less than sum of refresh fm size and zero copy size :%zu(mem_size >= (used_mem_size + static_cast(runtime_param_.zero_copy_size)))InitFeatureMapMem is called more than once, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] InitFeatureMapMem is called more than once, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sMallocExMem failed.((GetTotalMemSizeExcludeZeroCopy(non_zero_copy_memory_size)) == ge::SUCCESS)[%s:%d]%lu %s:Model %u need %zu/%zu for feature-map without zero-copyable memoryParam mem_ptr is nullptr or mem_size:%zu + fixed_size:%zu < ge_model.mem_size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid mem param: mem_size=%zu, fixed_mem_size=%zu, required_minimum_size=%zu, model_id:%u.MallocFeatureMapMem fail, data_size:%zu, fixed data size%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Alloc][Memory] for feature map failed. size:%zu, fixed size:%zu, model_id:%u[%s:%d][EVENT]%lu %s:[IMAS]InitFeatureMapAndP2PMem graph_%u MallocMemory type[F] memaddr[0x%lx] mem_size[%zu][%s:%d]%lu %s:[IMAS]InitFeatureMapAndP2PMem graph_%u MallocMemory type[F] memaddr[0x%lx] mem_size[%zu]((UpdateHbmFmMemBases(mem_base_, mem_size, used_mem_size, true)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][VariableMemory] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Blobs not match: blobs=%zu, model input num=%zu, required index=%zu, op_name(%s)[Check][Param] input data size(%lu) is bigger than model required size(%lu), index: %zu, op_name(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] input data size(%lu) is bigger than model required size(%lu), index: %zu, op_name(%s)[%s:%d]%lu %s:[InputMergeCopy] Copy2H graph_%u type[F] input[%s] index[%zu] offset[%lu] src[%p] mem_size[%lu] datasize[%lu]memcpy_s verify fail, src size %zu, dst size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %smemcpy_s verify fail, src size %zu, dst size %zumemcpy_s err, src ptr %p size %zu, dst ptr %p size %zu, offset %zu, err %d[%s:%d]%lu %s: ErrorNo: %u(%s) %smemcpy_s err, src ptr %p size %zu, dst ptr %p size %zu, offset %zu, err %dmemcpy fail, graph %u, index %zu, data len:%lu, buffer size:%lu, offset:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %smemcpy fail, graph %u, index %zu, data len:%lu, buffer size:%lu, offset:%lu[%s:%d]%lu %s:[InputMergeCopy]CopyPlainData graph_%u type[F] dst[%p] src[%p] mem_size[%lu].rtMemcpy(input_merge_copy_device_addr, input_merge_copy_mem_size_, input_merge_copy_mem_base_.get(), input_merge_copy_mem_size_, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:[InputMergeCopy]CopyPlainData graph_%u type[F] input[%s] rank[%u] dst[%p] src[%p] mem_size[%lu] datasize[%lu]Model Run SyncVarData[%s:%d]%lu %s:Copy input data, model id:%uCopyInputData[%s:%d]%lu %s:Start to get output size of %s, which is %zu input to netoutputParam:func_desc is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:func_desc]null is invalidGet name:%s subgraph in graph:%s fail, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Subgraph] %s in graph:%s failed, model_id:%u.stoi[%s:%d]%lu %s:Batch index of %s is %zu.Batch_index:%zu in op:%s(%s) > all_gears_info.size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Batch_index:%zu in op:%s(%s) > all_gears_info.size:%zu, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TensorSize] in op:%s(%s) failed, input_index:%zu, model_id:%u[%s:%d]%lu %s:Get real gear index is: %zu, gear info is %s, size is %ld, tensor size is %ld[%s:%d]%lu %s: ErrorNo: %u(%s) %sinvalid batch lable %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sbatch lable %s transform to size_t failed.[%s:%d]%lu %s:Start get gear and real output size info of %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][RealOutputSizeOfCase] %s failed.[%s:%d]%lu %s:Davinci model: %u starts to finalize.[%s:%d]%lu %s:Davinci model: %u success to finalize.[%s:%d]%lu %s:Start to get dynamic output dims of %s[%s:%d]%lu %s:Can not get dynamic output dims attr from %s[%s:%d]%lu %s:Dynamic output shape info is %sgear index is less than 0, node NetOutput may have input not from node Casestatic_cast(kDynamicOutInfoMinSize)it.size()(gear_index >= 0)[Check][Param] gear index:%zu in op:%s(%s) > all_gears_info.size:%zu in model:%u.(gear_index < static_cast(all_gears_info_.size()))[%s:%d]%lu %s:Get real gear index is: %zu, gear info is %s, output shape is %s[%s:%d]%lu %s:No need to get size and shape of netoutput in subgraph.[%s:%d]%lu %s:Start to initialize real size and shape info of %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Info] of getdynamicdims node:%s failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][GetGearAndRealOutSizeInfo] failed, node:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][GetGearAndRealOutShapeInfo] failed, node:%s.Check data fail in op:%s(%s), output_desc size:%zu output addr size:%zu output offset size:%zu not equal or has empty, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Data[%s] init failed: output size is %zu, virtual_addr size is %zu, offset size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][DataInfo] of input_info %s failed.[%s:%d]%lu %s:[ZCPY][disable zero copy] addrs %lu of data %s, model_id:%u.((copy_only_addrs_.Insert(virtual_addr)) == ge::SUCCESS)[%s:%d]%lu %s:Skip Data node: %s in subgraph.[%s:%d]%lu %s:Get new index %u, old %u[%s:%d]%lu %s:Init data node: %s, index: %u._op_max_size(!offsets.empty())(!virtual_addr_list.empty())[%s:%d]%lu %s:Refdata %s output offset %lld, virtual_addr:%p[%s:%d]%lu %s:Input[%u] has aligned attr[%s:%d]%lu %s:No QueueData node[%s:%d]%lu %s: ErrorNo: %u(%s) %sOnly supported single QueueData, actual number = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sOnly supported by LoadModelWithQueuequeue_name[%s:%d]%lu %s: ErrorNo: %u(%s) %sQueue name not set, node = %s[%s:%d]%lu %s:Skip subgraph NetOutput node: %s.[%s:%d]%lu %s:Init NetOutput node: %s, model id:%uCheck data fail in op:%s(%s), input addr size:%zu input offset size:%zu not equal, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] virtual_addr size:%zu should be equal to offset size:%zu, op:%s(%s), model id:%u[%s:%d]%lu %s:NetOutput[%s] is empty.Check data fail in op:%s(%s), input_desc size:%zu input addr size:%zu not equal or has empty, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] NetOutput[%s] init failed: Input size is %zu, Input addr is %zu[%s:%d]%lu %s:same output_tensor_addr %lu to different input_tensor of %s((DisableZeroCopyInReuseMemoryMode(node, idx, ValueToPtr(addr))) == ge::SUCCESS)[%s:%d]%lu %s:Refdata op %s virtual addr:[%p] as netoutput can not disable zero copy, may cause precision problem.((DisableZeroCopy(ValueToPtr(real_addr), fusion_flag)) == ge::SUCCESS)[%s:%d]%lu %s:output [%zu] can perform zero-copy[%s:%d]%lu %s:output [%zu] is copy-onlyParam input_queue_attrs_.size:%zu != input_data_info_.size:%zu or input_queue_attrs_.size:%zu != input_fusion_offsets_.size:%zu, model_id:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Input queue ids not match model: input_queue=%zu input_data=%zu, model_id:%uParam output_queue_attrs_.size:%zu != output_data_info_.size:%zu, model_id:%u,check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Output queue ids not match model: output_queue=%zu output_data=%zu, model_id:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Add][HeadStream] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuMarkStep] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Bind][ControlInputQueue] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Bind][InputQueue] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuTaskModelZeroCopy] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuStaticInputShapeValidate] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuInputCopyProcess] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Bind][ControlOutputQueue] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Bind][OutputQueue] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuActiveStream] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuWaitEndGraph] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuPostProcess] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][BindEnqueue] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuModelReportStatus] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][CpuModelRepeat] failed, model_id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Add][HeadStream] failed.rtGetAicpuDeploy(&deploy_type_)[%s:%d]%lu %s:Do task sink. AiCpu deploy type is: %x.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Bind][ModelStream] failed, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][L1DataDumperArgs] failed, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][TaskInfo] failed, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][EntryTask] failed, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][CustAicpuSo] failed, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][AicpuOpList] failed, model_id: %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Distribute][Task] failed, model_id: %u.rtModelLoadComplete(rt_model_handle_)((SetCopyOnlyOutput()) == ge::SUCCESS)[%s:%d]%lu %s:There is not AIPP related with index %u[Get][NamedAttrs] Data node:%s do not contain param aipp![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][NamedAttrs] Data node:%s do not contain param aipp![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Convert][AippParams] get aipp params failed, op: %s[%s:%d]%lu %s:Node data: %s, type: %s, current index: %u, current node related input rank: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][ConvertAippParams2AippInfo] failed, op: %s[%s:%d]%lu %s:Data node size: %zu, NetOutput node size: %zu.[%s:%d]%lu %s:Data node is: %s, output addr size: %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][AippInfo] failed, node: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][AippType] failed, node: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][SetAippInputOutputInfoFromOpDesc] failed, node: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][InputDescInfo] failed, node: %s[%s:%d]%lu %s:This is dynamic aipp model, Node: %s[%s:%d]%lu %s:Output node size: %zu, out nodes name is: %zu[%s:%d]%lu %s:NetOutput node is: %s, input addr size: %zu[%s:%d]%lu %s:ATTR_GETNEXT_SINK_DYNMAIC has been set and is true, node: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][OutputDescInfo] failed, node: %s[%s:%d]%lu %s:hcom stream: %u.[%s:%d]%lu %s:Priority is %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Priority must between 0-7, now is %d.[Check][Param] GeModel is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] GeModel is nullptr.[Get][ComputeGraph] failed, ret is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][ComputeGraph] failed, ret is nullptr.((InitRuntimeParams()) == ge::SUCCESS)ge.exec.static_model_addr_fixed[%s:%d]%lu %s:clear fm sub memory info.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFail to handle device info.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][TSDevice] failed, graph[%s].[%s:%d]%lu %s:Known node:%d, refreshable:%d, model_id:%u, graph_id:%u, graph_name:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[PreProcess][FileConstant] failed, graph: %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][InitIoNodes] failed, name: %s((InitStreamInfoOfTask()) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][Nodes] failed, graph: %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][DoTaskSink] failed, model_id: %u.[%s:%d]%lu %s:Get attr ATTR_FP_CEILING_MODE from model, value is %s.rtSetCtxINFMode((fp_ceiling_mode != "0"))[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Report][ProfilingData] failed, model_id: %u.[%s:%d]%lu %s:No need to generate output tensor info, model id:%u[%s:%d]%lu %s:output_data_info_[%zu] is empty.[%s:%d]%lu %s:Output size is %ld, output shape is %s.[%s:%d]%lu %s:Output blobs size:%zu, model id:%uParam:output_buffer is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_buffer]null is invalid[%s:%d]%lu %s:Output index:%zu, output dims is %s, data length:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %slistener_ is nullptr, check invalid, model id: %u[%s:%d]%lu %s:Reinit cur dynamic dims when getnext sink dynamic.[%s:%d]%lu %s:End of sequence, model id: %uabortnormal[%s:%d]%lu %s:Model Run thread start, model_id:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Run][Setdevice] failed, model_id:%u, device_id:%u die_id:%ld.[%s:%d]%lu %s:data_wrapper is null or data queue closed, exit![%s:%d]%lu %s: ErrorNo: %u(%s) %sUpdateForExecute, model_id:%u.[%s:%d]%lu %s:Model thread Run begin, model id:%u, data index:%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][HandleInputData] handle input data failed, model_id:%u.[%s:%d]%lu %s:rtModelExecute end, model id:%u.rtModelExecute[%s:%d]%lu %s:rtStreamSynchronizeWithTimeout start, model id:%u.[%s:%d]%lu %s:connect lost to model exec, befause socket closed, model_id:%u[%s:%d]%lu %s:seq_end_flg: %d[%s:%d]%lu %s:rtStreamSynchronizeWithTimeout end, model id:%u, status:%s.Wait for rtStreamSynchronizeWithTimeoutCopyDataFromDeviceToHost[%s:%d]%lu %s:run iterator count is %lu, model_id:%u[%s:%d]%lu %s:Model run end, model id:%uInitModelMemInitIoNodesTransAllVarDataInitNodesDoTaskSinkSt23_Sp_counted_ptr_inplaceIN2ge14RtStreamStatusESaIS1_ELN9__gnu_cxx12_Lock_policyE2EECreateCanStreamBeReusedDestroyStreamCreateNewStreamGetOrCreateRtStreamreusable_stream_allocator.cc((reusable_stream_allocator) != nullptr)[%s:%d]%lu %s:Create reusable_stream_allocator which does not need to reuse stream.((rtSupportModelStreamReuse(&reusable_stream_allocator->is_support_reuse_stream_)) == 0)((rtGetMaxStreamAndTask((0x00U), &max_stream_num, &reusable_stream_allocator->max_task_num_)) == 0)[%s:%d]%lu %s:Create reusable_stream_allocator, if support stream reuse: %d, max task num per stream: %u.[%s:%d]%lu %s:Stream: %p, id: %d, reused model num exceed max model num: %d in one stream.[%s:%d]%lu %s:Stream: %p, id: %d, current model id: %u, has already used this stream.((CheckUint32AddOverflow(stream_status->task_num, task_num)) == ge::SUCCESS)[%s:%d]%lu %s:Stream: %p, id: %d, current task num: %u, needed num: %u, exceed max num: %u.((stream) != nullptr)(iter != stream_ref_.end())((stream_status) != nullptr)[%s:%d]%lu %s:Stream: %p, id: %d, has already been destroyed.((rtStreamDestroyForce(stream)) == 0)((rtStreamDestroy(stream)) == 0)[%s:%d]%lu %s:Succ to destroy stream: %p, id: %d, is_force_destroy: %d.((rtStreamCreateWithFlags(&stream, priority, stream_flag)) == 0)((rtGetStreamId(stream, &rt_stream_id)) == 0)[%s:%d]%lu %s:Create new stream: %p, rt stream id: %d, rt model id: %u, priority: %d, stream flag: %u, task num: %u.[%s:%d]%lu %s:Reuse stream: %p, rt stream id: %d, rt model id: %u, priority: %d, stream flag: %u, current task num: %u, new task num: %u, total task num: %u.ClassifyAddrsmemory_app_type_classifier.cc[%s:%d]%lu %s:Classify memory type 0x%llx addr 0x%llx memory app type %s(%d)weightfeature mapmodel ioGetRefreshTypeByLogicalAddrFindPeersByGraphClassifyMultiTasksInfermap::attask_args_refresh_type_classifier.cc[%s:%d]%lu %s:Unknown memory app type %s by memory type %llu addr %llu, no need refresh[%s:%d]%lu %s:find peers by graph for node %s iow_index_type %d(%s) iow_index %zu(IntegerChecker::Compat(addr_desc.iow_index))((anchor) != nullptr)((peer_anchor) != nullptr)((peer_node) != nullptr)Failed to find peers by graph for node %s input index %zu, only support peer node type %s, but get %s(%s)((TaskArgsRefreshTypeClassifier::IsIdentityLikeType(peer_node->GetType())))Failed to find peers by graph for node %s output index %zu, only support peer node type %s, but get %s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnexpected iow type %d when find peers for fixed addrrefresh by fm: refresh by model io: [%s:%d]%lu %s:The task index %zu, refresh type %llu. %sFailed to infer fixed addr for task index %zu, invalid op index(node_info.node_id != -1)((FindPeersByGraph(node_info.node, fixed_addr, peers)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe fixed addr from task %zu %s %d not satisfied with peer node %s(%s) id %lld, because the peer node does have a task((UpdateRefreshType(new_fa, task_indexes_to_refresh_type[new_fa.task_index])) == ge::SUCCESS)[%s:%d]%lu %s:Task index %zu %s %lld is inferred as fixed addr, the same with task %zu %s %lldSt15_Sp_counted_ptrIPN2ge12ComputeGraphELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge6OpDescELN9__gnu_cxx12_Lock_policyE2EEBuildNoNodeInitAddRelation((graph) != nullptr)task_node_map.ccUnknown((no_node) != nullptr)[%s:%d]%lu %s:node index %lld, name %s, type %sop_index_-1_node[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to add relation between task %zu and node %lld, invalid node id[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to add relation between task %zu and node %lld(%s), task index out of rangePlanPartitionsMergePlacementsDebugLogPlanResultLogPartitionLengthsPlanTasksPlan(!AddOverflow(placements_to_partitions_to_len[pi][tti], args_desc.args_len, placements_to_partitions_to_len[pi][tti]))model_args_layout_planner.cc(!AddOverflow(placements_to_partitions_to_len[dst_pi][i], placements_to_partitions_to_len[src_pi][i], placements_to_partitions_to_len[dst_pi][i]))[%s:%d]%lu %s:Task index %zu, arg placement %s, trigger type %d, offset %lld, len %lld[%s:%d]%lu %s:Task index %zu, arg placement %s -> %s, trigger type %d, offset %lld, len %lldModel args placement total length (!AddOverflow(total_len, placements_to_partitions_to_len[i][j], total_len)), partition lengths (!AddOverflow(placements_to_partitions_to_offset[i][j - 1U], placements_to_partitions_to_len[i][j - 1U], placements_to_partitions_to_offset[i][j]))(!AddOverflow(offset, args_desc.args_len, offset))placements_to_partitions_to_offset[i][0U] + placements_to_partitions_to_align_offset[i][0U]placements_to_partitions_to_len[i][0U]placements_to_partitions_to_offset[i][j] + placements_to_partitions_to_align_offset[i][j] - ( placements_to_partitions_to_offset[i][j - 1U] + placements_to_partitions_to_align_offset[i][j - 1U])placements_to_partitions_to_len[i][j]((PlanPartitions(ret.placements_to_partitions_to_len, addr_use_for)) == ge::SUCCESS)((LogPartitionLengths(ret.placements_to_partitions_to_len, GetAddrUseForStr(addr_use_for))) == ge::SUCCESS)((MergePlacements(ret.placements_to_partitions_to_len, merge_policy)) == ge::SUCCESS)After merge partitions, ((LogPartitionLengths(ret.placements_to_partitions_to_len, "After merge partitions, ")) == ge::SUCCESS)((AlignPartitions(ret.placements_to_partitions_to_len, ret.placements_to_partitions_to_align_offset)) == ge::SUCCESS)After align partitions, ((LogPartitionLengths(ret.placements_to_partitions_to_len, "After align partitions, ")) == ge::SUCCESS)((PlanTasks(ret.placements_to_partitions_to_len, ret.placements_to_partitions_to_align_offset, merge_policy, ret.task_indexes_to_arg_results, addr_use_for)) == ge::SUCCESS)Addr use for argsAddr use for persistent workspaceUpdateDumpInfosUpdateHostArgsGetRtsMemoryTypeTaskArgsVa2PaAssociatedWithModelIOPrintDfxStatisticsConstructH2DCopyParamsCalcUpdatePolicyConstructOneTaskUpdateDataConstructTaskInitParamsAllocModelArgsPlanFixedMemoryLayoutAllocFixedAddrsAddToTaskUpdateDataToPoliciesValidateTaskRunParamCreateParseModelTaskDefDebugLogTaskRunParamUpdateHostArgsUpdateForExecuteGenModelArgsRefreshInfosForTaskDebugLogTaskUpdatePoliciesConstructUpdateDataInitTaskInfoV2Init*ZN2ge16ModelArgsManager29AddToTaskUpdateDataToPoliciesEmRKNS_11SmallVectorINS0_12UpdatePolicyELm4ESaIS2_EEERKNS0_17OneTaskUpdateDataEEUlPKNS_8TaskInfoEE_model_args_manager.cc, host_args_addr:0x, device_args_addr:0x, io_index:, args_offset:0x, placement:, args_format_policy:[%s:%d]%lu %s:TS memory_type: %u, size %lld[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnexpected args placement %dmodel-ioFailed to exe model args va 2 pa, policy %s does not exists((model_update_data) != nullptr)((rtDevVA2PA(cp_data.device_addr, cp_data.len, stm, davinci_model_->GetAsyncMode())) == 0)[%s:%d][EVENT]%lu %s:[ArgsUpdate] graph_name:%s, graph_id:%u, model_id:%u, fm_refreshable:%d, known:%d, update_policy:%s, fm_hit_cnt:%lu, mdl_io_hit_cnt:%lu, actual_update_addr_num:%lu, stage1-5_time[%lu,%lu,%lu,%lu,%lu]us, avg_a_addr_update_time[%lu]ns[%s:%d]%lu %s:[ArgsUpdate] graph_name:%s, graph_id:%u, model_id:%u, fm_refreshable:%d, known:%d, update_policy:%s, fm_hit_cnt:%lu, mdl_io_hit_cnt:%lu, actual_update_addr_num:%lu, stage1-5_time[%lu,%lu,%lu,%lu,%lu]us, avg_a_addr_update_time[%lu]nsPlacement %s does not have a partition(cp_arg.len > 0UL)[%s:%d]%lu %s: ErrorNo: %u(%s) %sunexpected update policy %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calc update policy, last base num %zu not equal with current %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calc update policy, fm_size %zu sub fm_start_id %u should less than %zuMore than one placement-sqe tasks found in task %zu, not support yet(!task_update_data.has_sqe_placement)[%s:%d]%lu %s: ErrorNo: %u(%s) %sUnexpected iow type %d when init task infos(!AddOverflow(len, partition_len, len))Failed to alloc args %d at host, size %lld((placed_model_args.model_args_host_addr) != nullptr)((rtMalloc(&dev_addr, static_cast(len), GetRtsMemoryType(placed_model_args.placement, len), static_cast(GE))) == 0)[%s:%d]%lu %s:Alloc model args len %lld, placement %s, addr 0x%llx for model %u(%s)Index out of rangeFailed to calculate fixed address for task %zu, op %s, null input, index %zu((td) != nullptr)((TensorUtils::GetTensorMemorySizeInBytes(*td, size)) == ge::GRAPH_SUCCESS)(!AddOverflow(total_len, size, total_len))Failed to calculate fixed address for task %zu, op %s, null output, index %zuFailed to calculate fixed address for task %zu, op %s, workspace index out of range %zu, max %zu(fixed_addr.iow_index < ws_sizes.size())(!AddOverflow(total_len, ws_sizes.at(fixed_addr.iow_index), total_len))[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calculate fixed address for task %zu, op %s, unexpected iow type %d((PlanFixedMemoryLayout(task_node_map, fixed_addrs, total_len, offsets)) == ge::SUCCESS)[%s:%d]%lu %s:No need to alloc fixed memory for model %u(%s)rtMalloc(&fixed_mem_base_addr, static_cast(total_len), mem_type, GE_MODULE_NAME_U16)Failed to alloc fixed memory, rts memory type %u, size %lld((fixed_mem_base_addr) != nullptr)[%s:%d]%lu %s:Alloc fixed memory size %lld, rts type %u, addr 0x%llx for model %u(%s)Failed to construct update data, found trigger by fm partition when fm refresh disabled, task index %zu(upi < kUpdatePolicyEnd)((update_policies_to_model_data_[upi]) != nullptr)Placement %d has multiple records((++placement_counts[args_desc.placement] <= 1))CHECK failed: (index) >= (0): [%s:%d]%lu %s:Cannot find task type %d in inner map.Failed to create task info from type %d, task index %zu((task_info) != nullptr)task index:%zu ParseTaskRunParam failed((task_info->ParseTaskRunParam(*task_def, davinci_model_, task_indexes_to_run_param[i])) == ge::SUCCESS)task index %zu occurred multiple placement, task_type is %d((ValidateTaskRunParam(task_indexes_to_run_param[i].args_descs)) == ge::SUCCESS)((task_node_map.AddRelation(i, op_index)) == ge::SUCCESS)Task index op index , args num len/placement: inputs num outputs num workspaces num persistent workspaces num op type op name [%s:%d]%lu %s:There no args need be managed in model[%s:%d]%lu %s:[Args][Updater] update model args refresh info:[%s], active addr:0x%llx.[%s:%d]%lu %s:[Args][Updater] update model args refresh info:[%s], active addr:0x%x[%s:%d]%lu %s:[Args][Updater] update model args refresh info:%s, active addr:0x%x[%s:%d]%lu %s:Begin to update model args, policy %s, fm_hit_count 0x%lx, zero_copy_model_io_hit_count:0x%lx, va_2_pa:%d.(up_ < kUpdatePolicyEnd)((TaskArgsVa2PaAssociatedWithModelIO(stm)) == ge::SUCCESS)Failed to update model args, policy %s does not exists((update_data.task_info->UpdateHostArgs(active_mem_base_addr, update_data.host_args)) == ge::SUCCESS)[%s:%d]%lu %s:Begin to update model args, policy %s, fm_hit_count 0x%lx, model_io_hit_count:0x%lx, update_addr_num:%u, va_2_pa:%d.((update_data.task_info->UpdateDumpInfos(update_data.host_args)) == ge::SUCCESS)((rtMemcpyAsync(ValueToPtr(cp_data.device_addr), cp_data.len, cp_data.host_addr, cp_data.len, RT_MEMCPY_HOST_TO_DEVICE_EX, stm)) == 0)((rtMemcpy(ValueToPtr(cp_data.device_addr), cp_data.len, cp_data.host_addr, cp_data.len, RT_MEMCPY_HOST_TO_DEVICE)) == 0)((rtLaunchSqeUpdateTask(sqe_ud.stream_id, sqe_ud.task_id, ValueToPtr(sqe_ud.dev_addr), sqe_ud.len, stm)) == 0)(info.placement < ArgsPlacement::kEnd)op_name:%s, op_type:%s, args offset:%lu is more than pls:%zu, len:%d, task args refresh info:[%s](info.args_offset < static_cast(pls_to_args[pls].len))(pls_to_args[pls].host_addr != nullptr)[%s:%d]%lu %s:[Args][Init] op_name:%s, op_type:%s, pls:%zu, pls host addr:0x%llx, pls dev addr:0x%llx, task args refresh info:[%s], after transfer, model args refresh info:[%s].[%s:%d]%lu %s:The args of node %s task index %zu will be updated in policies %s((ConstructOneTaskUpdateData(i, task_arg_results, task_indexes_to_param, pis_to_model_args, one_task_update_data, AddrUseFor::kAddrUseForArgs)) == ge::SUCCESS)array::at: __n (which is %zu) >= _Nm (which is %zu)((AddToTaskUpdateDataToPolicies(i, upis, one_task_update_data)) == ge::SUCCESS)[%s:%d]%lu %s:No task defs in model task def[%s:%d]%lu %s:Begin to init all task info, task count %zu((task_node_map.Init(davinci_model_->GetCompiledComputeGraph(), task_size)) == ge::SUCCESS)((ParseModelTaskDef(model_task_def, task_indexes_to_run_param, task_node_map)) == ge::SUCCESS)((TaskArgsRefreshTypeClassifier(task_node_map, logical_addrs_to_memory_type, davinci_model_->IsFeatureBaseRefreshable()) .ClassifyMultiTasks(task_indexes_to_run_param, task_indexes_to_refresh_type, fixed_addrs)) == ge::SUCCESS)((ModelArgsLayoutPlanner(task_indexes_to_refresh_type, task_indexes_to_run_param) .Plan(planned_model_args_layout_result, AddrUseFor::kAddrUseForArgs)) == ge::SUCCESS)((AllocModelArgs(planned_model_args_layout_result, model_args_)) == ge::SUCCESS)((ConstructUpdateData(task_node_map, planned_model_args_layout_result, task_indexes_to_run_param, task_indexes_to_args)) == ge::SUCCESS)((AllocFixedAddrs(task_node_map, fixed_addrs)) == ge::SUCCESS)((ConstructTaskInitParams(task_indexes_to_refresh_type, logical_addrs_to_memory_type, std::move(task_indexes_to_run_param), task_indexes_to_init_param)) == ge::SUCCESS)Failed to init task index %zu, related node %s((task_info->Init(model_task_def.task(static_cast(i)), davinci_model_, task_indexes_to_args.at(i), {}, task_indexes_to_init_param.at(i))) == ge::SUCCESS)Failed to get task args refresh infos, task index %zu, related node %s((task_info->GetTaskArgsRefreshInfos(infos)) == ge::SUCCESS)((GenModelArgsRefreshInfosForTask(infos, task_indexes_to_args[i], task_node_map.FindNodeByTaskIndex(i).node)) == ge::SUCCESS)rtNeedDevVA2PA(&need_dev_va_2_pa_)((task_list_ptr) != nullptr)no_need_updatefm-and-model-ioall-one-time@@N2ge26HeterogeneousModelIoHelperEN2ge20ModelRelationBuilderEN2ge8PneModelEN2ge26HeterogeneousModelExecutorEN2ge13GraphExecutorEZNK2ge26HeterogeneousModelExecutor25GetQueueInfoByDequeueMbufIN4domi13FlowgwRequestEEEjijRT_iEUlvE_ZNK2ge26HeterogeneousModelExecutor25GetQueueInfoByDequeueMbufIN4domi14SubmodelStatusEEEjijRT_iEUlvE_St15_Sp_counted_ptrIPN2ge13ModelRelationELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge17FlowModelCallbackELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge26HeterogeneousModelExecutor15RunAsyncRequestELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt8__detail4_NFAISt12regex_traitsIcEEESaIS4_ELN9__gnu_cxx12_Lock_policyE2EENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb1EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb0EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb1EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb0EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb1EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb0EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb1EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb0EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb1EEEwwoperator()operator()operator()operator()operator()operator()ExecuteGraphAsyncExecuteGraphCheckModelIndicesSupportedGetModelExecuteFlagGetTimeoutFromOptionFillFusionInputEnqueueFusionInputsWaitInputTensorsUnbuildValidateInputTensorsDequeueControlOutputsFindValidGroupEntryFindGroupEntryIndexInSingleInstanceClearFeedDataClearFetchDataGetRedeployStatusEnqueueInputTensorGetQueueInfoByDequeueMbufGetQueueInfoByDequeueMbufPrepareModelOutputsDoDequeueDequeueOutputTensorsFetchDataSynchronizeFlowModelPrepareModelOutputsPrepareModelOutputsDistributeGetDeviceIdFromKeyoperator()FreeDeviceDataDistributeMallocTensorDataPrepareSubmodelInputsDynamicSchedInfoClearWrapSingleModelPrepareSubmodelInputsPrepareSubmodelOutputsDistributeValidateInputOfMultiBatchModelRunStartRunModelRunStopGetIndicesToTensorDescAbnormalStatusCallbackInitDynamicSchedQueueInitializeBuildOutputTensorDescMappingBuildInputTensorDescMappingSetTensorInfoParseOutputTensorInfoProcAfterFindGroupEntryFindGroupEntryIndexFromCacheFindGroupEntryIndexByScheduleMbufEnqueueInputTensorsEnqueueInputTensorsEnqueueInputTensorsExecuteAsyncExecuteEnqueueInputTensorsExecuteAsyncExecuteBuildFusionInputTensorMappingParseInputTensorInfoExecuteModelWithoutInputAndOutputExecuteAsyncDeleteInvalidCacheDynamicSchedProcUpdateAbnormalInstanceForTrimmingModelUpdateAbnormalInstanceListIsModelInstanceAbnormalModelIndexGroupInfoUpdateModelIndexInfoUpdate^$.*+?| ""//\\abf n r t v ExecutecommitcommitExecute~HeterogeneousModelExecutorCheckIsExecSubmodelGetLogicDevIdoperator()BuildSubmodelIndicesInitializePrepareSubmodelInputsDistributeoperator()FeedEmptyEosDataFeedDataFlowgwResponseEnqueueSchedRunoperator()StatusRunoperator()DynamicSchedClearoperator()*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor9DoExecuteEijRKSt10shared_ptrINS9_11GeRootModelEERKSt6vectorINS9_6TensorESaISH_EERKNSA_12ModelIndicesERNS9_10ThreadPoolERSG_ISt6futureIjESaISS_EERSJ_EUlvE_vEESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor9DoExecuteEijRKSt10shared_ptrINS9_11GeRootModelEERKSt6vectorINS9_6TensorESaISH_EERKNSA_12ModelIndicesERNS9_10ThreadPoolERSG_ISt6futureIjESaISS_EERSJ_EUlvE_vEESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor7ExecuteEjRKSt6vectorINS9_8GeTensorESaISC_EERSE_EUlvE_vEESaIiEFjvEE6_M_runEvEUlvE_jEE*NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor7ExecuteEjRKSt6vectorINS9_8GeTensorESaISC_EERSE_EUlvE_vEESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEE*ZN2ge12_GLOBAL__N_116MallocTensorDataEmRSt6vectorIPvSaIS2_EERNS_8GeTensorERSt5mutexEUlvE_*ZN2ge12_GLOBAL__N_116MallocTensorDataEmRSt6vectorIPvSaIS2_EERNS_8GeTensorERSt5mutexEUlPhE0_*ZN2ge26HeterogeneousModelExecutor26AbnormalStatusCallbackInitEvEUljRSt3mapIjS1_IKSsbSt4lessIS2_ESaISt4pairIS2_bEEES3_IjESaIS5_IKjS8_EEEE_*ZN2ge26HeterogeneousModelExecutor33ExecuteModelWithoutInputAndOutputEjRKSt8functionIFvjRSt6vectorINS_6TensorESaIS3_EEEEEUljS6_E_*ZZN2ge26HeterogeneousModelExecutor24FreeDeviceDataDistributeEvENKUlRSt13unordered_mapISsSt6vectorIPvSaIS3_EESt4hashISsESt8equal_toISsESaISt4pairIKSsS5_EEEE_clESF_EUlvE_*ZZN2ge26HeterogeneousModelExecutor9DoExecuteEijRKSt10shared_ptrINS_11GeRootModelEERKSt6vectorINS_6TensorESaIS7_EERKNS0_12ModelIndicesERNS_10ThreadPoolERS6_ISt6futureIjESaISI_EERS9_ENKUlvE_clEvEUlvE_*ZN2ge26HeterogeneousModelExecutor18EnqueueInputTensorERKNS_8GeTensorEiRNS_15ExchangeService11ControlInfoEEUlvE_*ZNK2ge26HeterogeneousModelExecutor19EnqueueFusionInputsERKSt3mapINS_15DeployQueueAttrESt6vectorINS_8GeTensorESaIS4_EESt4lessIS2_ESaISt4pairIKS2_S6_EEERNS_15ExchangeService11ControlInfoEEUlPvmE_*ZN2ge26HeterogeneousModelExecutor9DoDequeueERNS_8GeTensorERSt10shared_ptrINS_10AlignedPtrEERNS_15ExchangeService11ControlInfoEmEUlvE_*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN2ge26HeterogeneousModelExecutor13ModelRunStartEvEUlvE_EEEEEE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN2ge26HeterogeneousModelExecutor13ModelRunStartEvEUlvE0_EEEEEE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN2ge26HeterogeneousModelExecutor13ModelRunStartEvEUlvE1_EEEEEE*ZN2ge26HeterogeneousModelExecutor21FlowgwResponseEnqueueEiiRN4domi14FlowgwResponseEEUlPvmE_*ZN2ge26HeterogeneousModelExecutor9StatusRunEvEUlvE_*ZNK2ge26HeterogeneousModelExecutor19GetSubmodelCallbackERKNS0_12ModelIndicesEmRKSt8functionIFvjRSt6vectorINS_6TensorESaIS6_EEEERKSt10shared_ptrINS_17FlowModelCallbackEEbEUljS9_E_*ZNK2ge26HeterogeneousModelExecutor19GetSubmodelCallbackERKNS0_12ModelIndicesEmRKSt8functionIFvjRSt6vectorINS_6TensorESaIS6_EEEERKSt10shared_ptrINS_17FlowModelCallbackEEbEUljS9_E0_*NSt13__future_base11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor7ExecuteEjRKSt6vectorINS2_8GeTensorESaIS5_EERS7_EUlvE_vEESaIiEFjvEEE*NSt13__future_base11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor9DoExecuteEijRKSt10shared_ptrINS2_11GeRootModelEERKSt6vectorINS2_6TensorESaISA_EERKNS3_12ModelIndicesERNS2_10ThreadPoolERS9_ISt6futureIjESaISL_EERSC_EUlvE_vEESaIiEFjvEEE*ZN2ge10ThreadPool6commitIZNS_26HeterogeneousModelExecutor7ExecuteEjRKSt6vectorINS_8GeTensorESaIS4_EERS6_EUlvE_JEEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*ZN2ge10ThreadPool6commitIZNS_26HeterogeneousModelExecutor9DoExecuteEijRKSt10shared_ptrINS_11GeRootModelEERKSt6vectorINS_6TensorESaIS9_EERKNS2_12ModelIndicesERS0_RS8_ISt6futureIjESaISJ_EERSB_EUlvE_JEEESI_IDTclfp_spfp0_EEEOT_DpOT0_EUlvE_*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor7ExecuteEjRKSt6vectorINS3_8GeTensorESaIS6_EERS8_EUlvE_vEESaIiEFjvEEESF_LN9__gnu_cxx12_Lock_policyE2EE*St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFZN2ge26HeterogeneousModelExecutor9DoExecuteEijRKSt10shared_ptrINS3_11GeRootModelEERKSt6vectorINS3_6TensorESaISB_EERKNS4_12ModelIndicesERNS3_10ThreadPoolERSA_ISt6futureIjESaISM_EERSD_EUlvE_vEESaIiEFjvEEESU_LN9__gnu_cxx12_Lock_policyE2EEqueue:, device_type:[%s:%d]%lu %s:Get submodel outputs indices success, indices = %s.static_cast(submodel_outputs.size()) - 1index[%s:%d]%lu %s:Get submodel inputs indices success, indices = %s.static_cast(inputs.size()) - 1[%s:%d]%lu %s:DynamicSched DequeueMbuf failed, device_id=%u, queue_id = %u[%s:%d]%lu %s:DynamicSched [Dequeue][Message] successrtMbufGetBuffAddr(m_buf, &buffer_addr)rtMbufGetBuffSize(m_buf, &buffer_size)DynamicSched info parse from zero copy stream, failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched info parse from zero copy stream, failedvector::_M_fill_insertNumber of NFA states exceeds limit. Please use shorter regex string, or use smaller brace expression, or make _GLIBCXX_REGEX_STATE_LIMIT larger.Unexpected back-reference in polynomial mode.Back-reference index exceeds current sub-expression count.Back-reference referred to an opened sub-expression.Unexpected end of character class.Unexpected end of regex when in an open parenthesis.Invalid special open parenthesis.Unexpected end of regex when in brace expression.Unexpected character in brace expression.Unexpected escape character.Unexpected end of regex when escaping.Unexpected end of regex when reading control code.Unexpected end of regex when ascii character.Unexpected end of regex when in bracket expression.Unexpected character class open bracket.^$\.*+?()[]{}|.[\*^$.[\()*+?{|^$.[\*^$ .[\()*+?{|^$ Nothing to repeat before a quantifier.Unexpected token in brace expression.Unexpected end of brace expression.Invalid range in brace expression.Invalid collate element.Invalid equivalence class.Invalid character class.Unexpected dash in bracket expression. For POSIX syntax, a dash is not treated literally only when it is at beginning or end.Invalid range in bracket expression.Character is expected after a dash.Unexpected character in bracket expression.Parenthesis is not closed.Status run failed.heterogeneous_model_executor.ccDynamicSched flowgw_response serialize to array failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched flowgw_response serialize to array failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute graph async, graph id:%u, model name:%s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute graph, graph id:%u, model name:%sModel indices is empty result of obtaining none submodel meeting condition.Please check devlist option is consistent with logic_dev_id in offline mode.[%s:%d]%lu %s: ErrorNo: %u(%s) %sModel indices is empty result of obtaining none submodel meeting condition.Please check devlist option is consistent with logic_dev_id in offline mode.Check model indices failed, model indices input size = %zu, root model input size = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCheck model indices failed, model indices input size = %zu, root model input size = %zu.Check model indices failed, model indices output size = %zu, root model output size = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCheck model indices failed, model indices output size = %zu, root model output size = %zu.[%s:%d]%lu %s:Success to check model indices, model indices size = %zu[%s:%d]%lu %s:Check sub model, model_name = %s, model_type = %s.ge.exec.graphExecTimeout[%s:%d]%lu %s: ErrorNo: %u(%s) %sTimeout value:%d is incorrect.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Queue] Option timeout:%s is out of range.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Queue] Option timeout:%s is invalid.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy mbuf data, mbuf size:%zu, tensor size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s][%ld] is greater than[%s][%ld]UINT64_MAX - tensor_sizetotal_sizeUINT64_MAX - sizeof(RuntimeTensorDesc)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input, model id = %u, queue id = %u[%s:%d]%lu %s:Enqueue input successfully, model id = %u, queue id = %u, size = %lu[%s:%d]%lu %s:Inputs buffer is need to wait unbuildFailed to call rtBuffGetInfo[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to call rtBuffGetInfo[%s:%d]%lu %s:Inputs buffer is already unbuild, wait time = %lf us[%s:%d]%lu %s: ErrorNo: %u(%s) %sInputs buffer is not unbuild, wait time = %lf us[%s:%d]%lu %s: ErrorNo: %u(%s) %sNumber of inputs (%zu) mismatches that of model inputs (%zu).(tensor_size) value out of int64_t range [Model[%u] validate input tensor[%zu] failed, expect at most = %lu, but given = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sModel[%u] validate input tensor[%zu] failed, expect at most = %lu, but given = %zu[%s:%d]%lu %s:Start to dequeue control outputs with replica, size = %zu, replica_num = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to dequeue control output[%zu], model id = %u, queue id = %u[%s:%d]%lu %s:Dequeue control outputs successfully, model id = %u.[%s:%d]%lu %s:DynamicSched can't find valid queue status data, uuid=%u[%s:%d]%lu %s:DynamicSched can't find valid queue status data, uuid=%u, logic_queue_id=%d[%s:%d]%lu %s:DynamicSched can't find valid queue status data, uuid=%u, logic_queue_id=%d, logic_group_id=%d[%s:%d]%lu %s:DynamicSched group size is 0![%s:%d]%lu %s:DynamicSched, group index=%u is bind to abnormal device[%s:%d]%lu %s:DynamicSched, group index=%u is bind to redundant instance[%s:%d]%lu %s:AbnormalDataClear, start to clear transId, input size = %zu, control input size = %zu[%s:%d]%lu %s:AbnormalDataClear, input[%zu], model id = %u, queue id = %u[%s:%d]%lu %s:AbnormalDataClear, control input[%zu], model id = %u, queue id = %u[%s:%d]%lu %s:AbnormalDataClear, end clear transId.[%s:%d]%lu %s:AbnormalDataClear, start to clear fetch data, output size = %zu, control output size = %zu, replica_num = %zu[%s:%d]%lu %s:AbnormalDataClear, output queue[%zu], times=%u, ret=%u, device id =%d, queue id =%u[%s:%d]%lu %s:AbnormalDataClear, dequeue control output[%zu], model id=%u, times=%u, ret=%u, device id =%d, queue id=%u,[%s:%d]%lu %s:AbnormalDataClear, end clear fetch data.[%s:%d]%lu %s:AbnormalStatusMonitor, it is redeploying, please wait[%s:%d]%lu %s: ErrorNo: %u(%s) %sAbnormalStatusMonitor, abnormal status can't recovery by redeploying[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input[%zu], model id = %u, queue id = %urtBuffGet(nullptr, buffer, static_cast(tensor_size + sizeof(RuntimeTensorDesc)))rtMbufBuild(buffer, static_cast(tensor_size + sizeof(RuntimeTensorDesc)), &m_buf)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input[%zu], model id=%u, queue id=%u[%s:%d]%lu %s:Do dequeue output[%zu] begin, timeout=%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sdevice is abnormal, error code=%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sDequeue output[%zu] timeout, model id=%u, queue id=%u, total_timeout = %d ms[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to dequeue output[%zu], model id = %u, queue id = %u, ret = %u[%s:%d]%lu %s:Do dequeue output[%zu] end.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet graph timeout failed.[%s:%d]%lu %s:MakeShared start size=%ld[%s:%d]%lu %s:MakeShared end size=%ldParam:aligned_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:aligned_ptr]null is invalid[%s:%d]%lu %s:Dequeue output[%zu] successfully, model id = %u, queue id = %u, size = %ld, notiling = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sDequeue control outputs failed.[%s:%d]%lu %s:return end of sequence.Fetch data is only support Heterogeneous.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFetch data is only support Heterogeneous.timeout is invalid, must be >=%d, timeout=%d[%s:%d]%lu %s: ErrorNo: %u(%s) %stimeout is invalid, must be >=%d, timeout=%d[%s:%d]%lu %s:Start to fetch data, indexes num=%zu, timeout=%didx must be less than output num, idx=%u, output num=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sidx must be less than output num, idx=%u, output num=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDequeue output[%u] Failed, model id=%u, queue id=%u[%s:%d]%lu %s:Dequeue output[%u] successfully, model id=%u, queue id=%u[%s:%d]%lu %s:Output[%u] is end of sequence, model id=%u, queue id=%u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set user data.rtSetDevice(static_cast(model->GetDeviceId()))[%s:%d]%lu %s:[Release][Memory], async mode, start to synchronize stream before unload model, model_id[%u][%s:%d]%lu %s:[Release][Memory], async mode, synchronize stream finished.rtDeviceReset(static_cast(model->GetDeviceId()))submodel_outputs.size() - 1[%s:%d]%lu %s:Return output[%zu][%zu] with no copy((aligned_ptr) != nullptr)(rtMemcpy(outputs[index].GetData(), data_size, submodel_outputs[i].MutableData().GetData(), data_size, RT_MEMCPY_DEVICE_TO_HOST) == RT_ERROR_NONE)[%s:%d]%lu %s:Return output[%zu][%zu] with copy from 0x%lx to 0x%lx, size:%zu(dev_model_id.size() == kDevModelIndex)Convert %s failed.((ConvertToInt32(dev_model_id[0UL], device_id)) == ge::SUCCESS)Get Device id from %s failed.((GetDeviceIdFromKey(item.first, device_id)) == ge::SUCCESS)rtSetDevice(device_id)[%s:%d]%lu %s:Free addr:0x%lxFree input addrs failed.((free_func(dev_model_id_to_input_addrs_)) == ge::SUCCESS)Free output addrs failed.((free_func(dev_model_id_to_output_addrs_)) == ge::SUCCESS)(data_size > 0L)(rtMalloc(&dev_mem, static_cast(data_size), (0x2U), static_cast(GE)) == RT_ERROR_NONE)((tensor.SetData(reinterpret_cast(dev_mem), static_cast(data_size), [](uint8_t *ptr) { (void)ptr; return; })) == ge::SUCCESS)[%s:%d][EVENT]%lu %s:DynamicSched, scheding data: Total(us)=%lu, Cnt=%lu, Per duration(ns)=%lu, Max duration(ns)=%lu, Greater 100us cnt=%lu[%s:%d]%lu %s:DynamicSched, scheding data: Total(us)=%lu, Cnt=%lu, Per duration(ns)=%lu, Max duration(ns)=%lu, Greater 100us cnt=%luParam:single_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:single_model]null is invalidParam:model_relation is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_relation]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build model relation for single model[%s:%d]%lu %s:Dynamic model, no need construct output tensorconstruct tensor data failed.((MallocTensorData(i, dev_addrs, submodel_outputs[i], output_addrs_mu_)) == ge::SUCCESS)[%s:%d]%lu %s:Prepare Output success model_id:%u with size:%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe input count of user:%zu should be equel to the data count of graph:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe shape size:%zu of dynamic input:%s should equal to input shape:%zu[%s:%d]%lu %s:model id = %u, deployed model id = %u[%s:%d]%lu %s:Deploy model with relation data[%s:%d]%lu %s:Run thread started, model id = %u, deployed model id = %u[%s:%d]%lu %s:Got end of inputs, model id = %u, deployed model id = %u[%s:%d]%lu %s:end of sequence is coming.Failed to execute model, model id = %u, deployed model id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute model, model id = %u, deployed model id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to wait input tensors unbuild[%s:%d]%lu %s:Run thread ended, model id = %u, deployed model id = %u[%s:%d]%lu %s:Model run stopped, model id = %u, deployed model id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get data index, node name = %s[%s:%d]%lu %s:Data index of node [%s] = [%ld][%s:%d]%lu %s:abnormal status callback init success, model_id=%uDynamicSched, can't find sched app output indices=%u record.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, can't find sched app output indices=%u record.[%s:%d]%lu %s:DynamicSched, scheding request, find datagw input indices=%d to sched app output queueid=%u.DynamicSched, mem queue attach failed, device_id=%d, status_input_queue_ids queue_id=%u, ret=%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, mem queue attach failed, device_id=%d, status_input_queue_ids queue_id=%u, ret=%dDynamicSched, mem queue attach failed, device_id=%d, sched_input_queue_attrs queue_id=%u, ret=%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, mem queue attach failed, device_id=%d, sched_input_queue_attrs queue_id=%u, ret=%dDynamicSched, mem queue attach failed, device_id=%d, sched_output_queue_attrs queue_id=%u, ret=%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, mem queue attach failed, device_id=%d, sched_output_queue_attrs queue_id=%u, ret=%dParam:flow_model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:flow_model_]null is invalidParam:submodel is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:submodel]null is invalidParam:net_output is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:net_output]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sNumber of outputs(%zu) mismatches that of output queues(%zu), sub model name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sNumber of inputs(%zu) mismatches that of input queues(%zu), sub model name = %s[%s:%d]%lu %s:Root model input %zu is linked to FlowSend, queue name = %s[%s:%d]%lu %s:Root model input %zu is linked to netoutput by control link, queue name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %squeue name not found in submodels, name = %s[%s:%d]%lu %s:%s tensor:%zu marks no-tiling is %dOperator graph failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calc tensor raw size, queue name = %s[%s:%d]%lu %s:index = %zu, queue name = %s, shape = [%s], tensor raw size = %ld, padded size = %ld, notiling = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamic shape is not supported yet, raw/padded size = %ld/%ld, shape of queue[%s] = [%s][%s:%d]%lu %s:Start to set tensor info for outputs, size = %zu[%s:%d]%lu %s:DynamicSched found group_entry_index=%d, dst_uuid=%u, group_num=%u, mul_submodel_id=%u.[%s:%d]%lu %s:DynamicSched, found routelabel cache info, trans_id=%d, route_label=%d, group_entry_index=%d[%s:%d]%lu %s:DynamicSched doesn't find status info, set default depth=0, dst endpoint index=%d.[%s:%d]%lu %s:DynamicSched search group entry info: entry logic id=%d, entry index=%d dst endpoint index=%d, queue_depth=%d, device_id=%d, uuid=%u, device_type=%d, pre time=%llu.[%s:%d]%lu %s:Start to mbuf_enqueue inputs, size = %zu[%s:%d]%lu %s:Enqueue input[%zu] successfully, model id = %u, queue id = %u, size = %zu, notiling = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue fusion inputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue control input[%zu], model id = %u, queue id = %u[%s:%d]%lu %s:Start to enqueue inputs, size = %zu[%s:%d]%lu %s:Enqueue buffs size is %zu, tensor_size is %zu.[%s:%d]%lu %s:Start to enqueue inputs with replica, size = %zu, replica_num = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to mbuf_enqueue input tensors.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input tensors.Param:callback is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:callback]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sModel is not running, model id = %uParam:request is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:request]null is invalid[%s:%d]%lu %s:Start to execute model async, model id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input tensors with replicaFailed to enqueue input[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input[%s:%d]%lu %s:Input enqueued successfully, model id = %u[%s:%d]%lu %s:Start to execute model, model id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to dequeue output tensors[%s:%d]%lu %s:Execute model successfully, model id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue fusion input, model id = %u, queue id = %u[%s:%d]%lu %s:Enqueue fusion inputs successfully, model id = %u, fusion queue id = %u, size = %lu[%s:%d]%lu %s:Enqueue fusion inputs successfully, model id = %u, size = %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input tensors[%s:%d]%lu %s:Start to execute model, graph_id = %u, model id = %u[%s:%d]%lu %s:Execute model successfully, graph_id = %u, model id = %u[%s:%d]%lu %s:Build fusion input mapping success, input index = %zu, is fusion input = %d[%s:%d]%lu %s:Start to set tensor info for inputs, size = %zu[%s:%d]%lu %s:Current flow model will call back after %u submodels callback finished.Param:flow_model_callback is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:flow_model_callback]null is invalid[%s:%d]%lu %s:model_name = %s, model_type = %s.Param:input_root_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_root_model]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sExecutor execute npu graph failed, graph_id = %u, model_id = %u, model_name = %s.[%s:%d]%lu %s:Executor execute npu graph successfully, graph_id = %u, model_id = %u, model_name = %s.[%s:%d]%lu %s:Finish to execute model, graph_id = %u, model_id = %u, ret = %d.[%s:%d]%lu %s:No need to execute model, graph_id = %u, model_id = %u[%s:%d]%lu %s:0 input and 0 output, graph_id = %u, model_id = %u.[%s:%d]%lu %s:Begin to execute graph async, graph_id = %u, model_id = %u, model_name = %sParam:input_submodel is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:input_submodel]null is invalid[%s:%d]%lu %s:Success to execute graph async, graph_id = %u, model id = %u, model name = %s[%s:%d]%lu %s:DynamicSched, delete sched chache info, trans_id=%u.[%s:%d]%lu %s:DynamicSched, delete routelabel chache info, trans_id=%u.[%s:%d]%lu %s:DynamicSched FlowgwRequest info: node_id=%d, input_index=%d, queue_id=%d, device_type=%d, device_id=%d, logic_id=%d, logic_group_id=%d, model_uuid=%u, trans_id=%d, route_label=%d, root_model_id=%u, queue_infos_index=%d[%s:%d]%lu %s:DynamicSched add sched cache info: uuid=%u, trans_id=%d, route_label=%d, logic_group_id=%d, group_entry_index=%d.[%s:%d]%lu %s:DynamicSched FlowgwResponse info: queue_id=%d, device_type=%d, device_id=%d, logic_id=%d, logic_group_id=%d, model_uuid=%u, trans_id=%d, route_label=%d, choose_logic_id=%d, root_model_id=%u, queue_infos_index=%d, entry_logic_id=%d, group_num=%u, mul_submodel_id=%u, need_flowgw_cache=%d, choose_instance_name=%s.[%s:%d]%lu %s:There are num[%zu] trimming relation models for Abnormal model[%s].[%s:%d]%lu %s:Record model instance[%s] as abnormal result of trimming model relation.[%s:%d]%lu %s:Start update abnormal instance list for trimming scenario.[%s:%d]%lu %s:ModelIndexInfoUpdate, excutor process is abnormal, submodel instance[%s] is on this process[%s:%d]%lu %s:ModelIndexInfoUpdate, submodel instance[%s] is normals[%s:%d]%lu %s:ModelIndexInfoUpdate: group entry index[%u] is on abnormal process[%s:%d]%lu %s:ModelIndexInfoUpdate: start to update model index info[%s:%d]%lu %s:ModelIndexInfoUpdate: model id[%d], src endpoint index[%d] is on abnormal process[%s:%d]%lu %s:ModelIndexInfoUpdate: model id[%d], src endpoint index[%d] is on normal process[%s:%d]%lu %s:ModelIndexInfoUpdate: end update model index info[%s:%d]%lu %s: ErrorNo: %u(%s) %sNot supportinputs can not find for device id:%d(device_to_inputs.find(device_id) != device_to_inputs.cend())((DoExecute(device_id, graph_id, input_root_model, device_to_inputs.at(device_id), submodel_indices, thread_pool, fut_rets, outputs)) == ge::SUCCESS)[%s:%d]%lu %s:Run thread is not stoppedParam:exec_runtime is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:exec_runtime]null is invalid\[?([0-9,]+)\]?[%s:%d]%lu %s:Invalid logical_device_id: %s((ConvertToInt32(str, logical_device_id)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sfailed to get device mesh index[%d][%s:%d]%lu %s:Find same logic device id between option and model attribute.[%s:%d]%lu %s:Can not find logic device id %s in exec option[%s:%d]%lu %s:Mapping root model inputs, input name = %s, index = %zu.[%s:%d]%lu %s:Mapping root model outputs, output name = %s, index = %zu.[%s:%d]%lu %s:Current submodel_queue_infos size is:%zuge.exec.modelDeployModege.exec.modelDeployDevicelist[%s:%d]%lu %s:Submodel name = %s, input name = %s, index = %zu[%s:%d]%lu %s:Submodel name = %s, output name = %s, index = %zu[%s:%d]%lu %s:Get submodel name:%s, input size is:%zu, output size is:%zu, device_id is:%dSubmodels in flow model is empty.[%s:%d]%lu %s: ErrorNo: %u(%s) %sSubmodels in flow model is empty.Param:model_relation_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_relation_]null is invalid[%s:%d]%lu %s:Deploy model with relation type data.[%s:%d][EVENT]%lu %s:[IO info], flow model input info = [index:%zu], queue info = [%s].[%s:%d]%lu %s:[IO info], flow model input info = [index:%zu], queue info = [%s].[%s:%d][EVENT]%lu %s:[IO info], flow model output info = [index:%zu], queue info = [%s].[%s:%d]%lu %s:[IO info], flow model output info = [index:%zu], queue info = [%s].[%s:%d][EVENT]%lu %s:[IO info], flow model input_queues = %s, control_input_queues = %s, output_queues = %s, control_output_queues = %s[%s:%d]%lu %s:[IO info], flow model input_queues = %s, control_input_queues = %s, output_queues = %s, control_output_queues = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to parse input tensor info, model name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to parse output tensor info, model name = %sParam:execution_runtime is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:execution_runtime]null is invalidParam:exchange_service_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:exchange_service_]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init model io helper.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, failed to initialize dynamic sched queue[%s:%d]%lu %s:inputs size:%zu, input_indices size:%zu((MallocTensorData(i, dev_addrs, tensor, input_addrs_mu_)) == ge::SUCCESS)dst size:%zu cannot be less than src size:%zu(dst_size >= src_size)(rtMemcpy(tensor.MutableData().GetData(), dst_size, item.GetData(), src_size, RT_MEMCPY_HOST_TO_DEVICE) == RT_ERROR_NONE)static_cast(ge_inputs.size()) - 1[%s:%d]%lu %s:Prepare submodel input[%zu] shape:%s, data:[0x%lx][%zu], pls:%d[%s:%d]%lu %s:Start execute submodel, graph_id:%u, model_id:%u, device_id:%d((PrepareSubmodelInputsDistribute(inputs, submodel_indices, submodel_inputs, input_addrs)) == ge::SUCCESS)((PrepareSubmodelOutputsDistribute(model_id, submodel_outputs, output_addrs)) == ge::SUCCESS)((ExecuteGraph(graph_id, input_root_model, submodel_inputs, submodel_outputs)) == ge::SUCCESS)((PrepareModelOutputsDistribute(submodel_outputs, submodel_indices.outputs, outputs)) == ge::SUCCESS)[%s:%d]%lu %s:Enqueue empty eos input[%zu] successfully, model id=%u, queue id=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInputs not eos data.[%s:%d]%lu %s:Start to feed data, size:%zu, timeout:%dFeed data is only support Heterogeneous.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFeed data is only support Heterogeneous.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get user data.idx must be less than input num, idx=%zu, input num=%zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sidx must be less than input num, idx=%zu, input num=%zu.[%s:%d]%lu %s:Input %u is not used after prune dataflow graph.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue inputs.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue control input[%zu], model id=%u, queue id=%uDynamicSched can't find datagw request input indices id=%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched can't find datagw request input indices id=%d[%s:%d]%lu %s:DynamicSched FlowgwResponse Enqueue info: datagw_input_index=%d, out_queue_id=%d.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched Failed to enqueue flowgw_response[%s:%d]%lu %s:DynamicSched, sent scheding response, datagw_input_index=%d, datagw_input_cnt=%d.[%s:%d]%lu %s:DynamicSched datagw request process thread started, model id=%u, deployed model id=%u[%s:%d]%lu %s:DynamicSched datagw request process input queue info, size=%zuDynamicSched, sched input queue size is 0![%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, sched input queue size is 0![%s:%d]%lu %s:DynamicSched receive scheding request, datagw_input_index=%d, datagw_input_cnt=%d.[%s:%d]%lu %s:DynamicSched, queue_index=%u is bind to abnormal device[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched proc enqueue flowgw response failed.[%s:%d]%lu %s:DynamicSched Dequeue datagw request successfully, model_id=%u.[%s:%d]%lu %s:DynamicSched datagw request process thread ended, model id=%u, deployed model id=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, SchedRun failed[%s:%d]%lu %s:DynamicSched Status Run thread started, model id=%u, deployed model id=%u[%s:%d]%lu %s:DynamicSched start to dequeue status info, size=%zuDynamicSched, status input queue size is 0![%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, status input queue size is 0![%s:%d]%lu %s:DynamicSched Dequeue status outputs successfully, model_id=%u[%s:%d]%lu %s:DynamicSched Status Run thread ended, model id=%u, deployed model id=%u.[%s:%d]%lu %s: ErrorNo: %u(%s) %sDynamicSched, StatusRun failed[%s:%d]%lu %s:AbnormalDataClear, SchedRun input queue size=%zu[%s:%d]%lu %s:AbnormalDataClear, SchedRun Dequeue clear, times=%u, device id=%d, queue id=%u, ret=%u[%s:%d]%lu %s:AbnormalDataClear, StatusRun input queue size=%zu[%s:%d]%lu %s:AbnormalDataClear, StatusRun Dequeue clear, times=%u, device id =%d, queue id =%u, ret=%u[%s:%d]%lu %s:AbnormalDataClear, clear queue status(%zu), sched cache(%zu), routelabel cache(%zu), fetched data transids(%zu)[%s:%d]%lu %s:AbnormalDataClear, clear success[%s:%d]%lu %s:abnormal status callback: deploy status is kCallbackStartRedeploy[%s:%d]%lu %s:abnormal status callback: deploy status is kCallbackFailedRedeployNULSOHSTXETXEOTENQACKalertbackspacetabnewlinevertical-tabform-feedcarriage-returnSOSIDLEDC1DC2DC3DC4NAKSYNETBCANEMSUBESCIS4IS3IS2IS1spaceexclamation-markquotation-marknumber-signdollar-signpercent-signampersandapostropheleft-parenthesisright-parenthesisasteriskplus-signcommahyphenperiodslashonetwothreefourfivesixseveneightninecolonsemicolonless-than-signequals-signgreater-than-signquestion-markcommercial-atBCFGHIJKNOQRTUVWYZleft-square-bracketbackslashright-square-bracketcircumflexunderscoregrave-accentabijqvzleft-curly-bracketvertical-lineright-curly-brackettildeDELalnumalphablankcntrldigitgraphprintpunctupperxdigitNSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFSt8functionIFjRKN2ge15DeployQueueAttrEEESB_EESaIiEFjvEE6_M_runEvEUlvE_jEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIjEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFSt8functionIFjRKN2ge15DeployQueueAttrEEESB_EESaIiEFjvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_jEENSt13__future_base11_Task_stateISt5_BindIFSt8functionIFjRKN2ge15DeployQueueAttrEEES4_EESaIiEFjvEEEZN2ge10ThreadPool6commitIRKSt8functionIFjRKNS_15DeployQueueAttrEEEJS5_EEESt6futureIDTclfp_spfp0_EEEOT_DpOT0_EUlvE_St23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFSt8functionIFjRKN2ge15DeployQueueAttrEEES5_EESaIiEFjvEEESC_LN9__gnu_cxx12_Lock_policyE2EEoperator()InitializecommitFeed*ZN2ge26HeterogeneousModelIoHelper4FeedERKSt3mapImmSt4lessImESaISt4pairIKmmEEERKSt6vectorINS_8GeTensorESaISC_EERKNS_15ExchangeService11ControlInfoEEUlvE_*ZN2ge26HeterogeneousModelIoHelper4FeedERKSt3mapImmSt4lessImESaISt4pairIKmmEEERKSt6vectorINS_8GeTensorESaISC_EERKNS_15ExchangeService11ControlInfoEEUlRKNS_15DeployQueueAttrEE0_heterogeneous_model_io_helper.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to fill runtime tensor desc[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to enqueue input, queue id=%u[%s:%d]%lu %s:Enqueue input[%zu] successfully, queue id=%u, size=%zuParam:pool_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:pool_]null is invalid[%s:%d]%lu %s:Create thread pool success, thread num = %zu.idx must be less than input num, idx=%zu, input queue attr size = %zu, broadcast input attr size = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sidx must be less than input num, idx=%zu, input queue attr size = %zu, broadcast input attr size = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute enqueue task, input index = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute multi-thread enqueue task.operator()operator()operator()ExecuteKernelBuildCreateQueueTaskCreateQueueBuildCreateVdecChannelTaskCreateVdecChannelBuildDestroyQueueTaskDestroyQueueBuildDestroyChannelTaskDestroyChannelBuildDestroyVdecChannelTaskDestroyVdecChannelReleaseResourcesBuildCreateChannelTaskCreateChannelBuildModelShapeConfigTaskSetStaticModelShapeConfigBuildModelConfigTaskSetModelConfigGetOrCreateQueueAllocateQueueResourceAllocateChannelResourceAllocateVdecChannelResourceoperator()*ZN2ge14AiCpuResources11CreateQueueERKSsjRjEUlvE_*ZN2ge14AiCpuResources13ExecuteKernelEPKcRKSsRKSt6vectorIhSaIhEEEUlvE_*ZN2ge14AiCpuResources25SetStaticModelShapeConfigERKNS0_21AiCpuModelShapeConfigERKSt6vectorINS_19InputOutputDescInfoESaIS5_EEEUlRKS4_IlSaIlEEE_*ZN2ge14AiCpuResources25SetStaticModelShapeConfigERKNS0_21AiCpuModelShapeConfigERKSt6vectorINS_19InputOutputDescInfoESaIS5_EEEUlvE0_aicpu_resources.ccrtStreamCreate(&stream, kDefaultPriority)rtCpuKernelLaunch(so_name, kernel_name.c_str(), kKernelBlockDim, task_args.data(), static_cast(task_args.size()), nullptr, stream)[%s:%d]%lu %s:Launch kernel successfully, kernel name = %s[%s:%d]%lu %s:Sync stream successfully, kernel name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy queue name[%s:%d]%lu %s:%s task args constructed, size = %zu[%s:%d]%lu %s:Start to create queue, name = %s, depth = %urtMalloc(&queue_id_dev, sizeof(queue_id), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(&queue_id, sizeof(queue_id), queue_id_dev, sizeof(queue_id), RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:Queue created successfully, name = %s, queue id = %u[%s:%d]%lu %s:Start to create Vdec channel, rt stream id = %d[%s:%d]%lu %s:Vdec channel created successfully, rt stream id = %d[%s:%d]%lu %s:Start to destroy queue, id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init task args[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to launch kernel[%s:%d]%lu %s:Queue destroyed successfully, queue id = %u[%s:%d]%lu %s:Start to destroy channel, rt stream id = %d[%s:%d]%lu %s:Channel destroyed successfully, rt stream id = %d[%s:%d]%lu %s:Start to destroy Vdec channel, rt stream id = %d[%s:%d]%lu %s:Vdec channel destroyed successfully, rt stream id = %d[%s:%d]%lu %s:Release queue resource started, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to destroy queue, name = %s, queue id = %u[%s:%d]%lu %s:Release channel resource started, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to destroy channel, rt stream id = %d[%s:%d]%lu %s:Release vdec channel resource started, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to destroy vdec channel, rt stream id = %d[%s:%d]%lu %s:Release ended[%s:%d]%lu %s:Start to create channel, rt stream id = %d[%s:%d]%lu %s:Channel created successfully, rt stream id = %d[%s:%d]%lu %s:Input [%s] is not static shape[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s%zu and %zu multiplication can result in overflow!copy tlv head failed[%s:%d]%lu %s: ErrorNo: %u(%s) %scopy tlv head failedcopy tlv data failed[%s:%d]%lu %s: ErrorNo: %u(%s) %scopy tlv data failedrtMalloc(&tlv_device_addr, config_buff.size(), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(tlv_device_addr, config_buff.size(), config_buff.data(), config_buff.size(), RT_MEMCPY_HOST_TO_DEVICE)tlv_data_len %zu greater than uint32_max.[%s:%d]%lu %s: ErrorNo: %u(%s) %stlv_data_len %zu greater than uint32_max.[%s:%d]%lu %s:Static model shape config successfully[%s:%d]%lu %s:Start to model config[%s:%d]%lu %s:Model config successfully[%s:%d]%lu %s:Queue [%s] already created, queue_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create queue, name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Failed to get queue name[%s:%d]%lu %s: ErrorNo: %u(%s) %s[%s] Failed to get input index for queue %s[%s:%d]%lu %s:Got queue depth from attribute = %uinput_indexINT32_MAX[%s:%d]%lu %s:[%s] Channel already created, rt_stream_id = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create channel, id = %d[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create vdec channel, id = %dRES_QUEUERES_CHANNELRES_VDEC_CHANNELCreateChannelDestroyChannelCreateVdecChannelDestroyVdecChannelCreateQueueDestroyQueuequeue_depthqueue_id_idxlibbuiltin_kernels.soAicpuModelConfigAicpuModelShapeConfigGetMemAddrValidateMemRangeGetWorkspaceSizeSetDeviceResetDeviceGE_USE_STATIC_MEMORYIsGeUseExtendSizeMemoryGetVarConstPlaceHolderMemSizeGetVarAddrGetRtAddressGetMaxVarMemSizeGetInputSizeGetOutputSizeGetOutputDescsCalFollowStreamSumCalculateFollowStreamGetWeightsGetWeightSizeGetInputDescsAcquireGetMemoryRefreshAddressByMemTypeGetInputOutputDescAddrsFillSinkTensorDescGetDeployNumCheckOpParallelGroupIdValidGetInputDataAddrsGetInputAddrsGetInputAddrsValueGetInputDataAddrsValueGetInputDataAddrsGetOutputDataAddrsGetOutputAddrsGetOutputAddrsValueGetOutputDataAddrsValueGetOutputDataAddrsGetWorkspaceDataAddrsGetWorkspaceDataAddrsValueGetWorkspaceDataAddrsCalculateAicpuBlockingEventNumGetHbmFeatureMapMemInfoGetAllMemoryTypeSizeInitRuntimeParamsFreeP2pMemFreeExMemMallocExMem[%s:%d]%lu %s:[Check][Param] Acquire mem block failed, size:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Acquire mem block failed, size:%lu add align_mask:%lu will overflow:[%s:%d]%lu %s:Acquire TS memory may not physical continuity, size: %lu[%s:%d]%lu %s:Acquire TS memory: %p, offset: %ld, size: %lu, align: %lutype[H] name[S] P] F] offset[size[model_utils.cc[%s:%d]%lu %s:logic_offset:%ld, logic_memory_base:%ld, memory_base:%p, memory_addr:%p[%s:%d]%lu %s:logic_offset:%ld, memory_base0x:%lx, memory_addr:%p[%s:%d]%lu %s: ErrorNo: %u(%s) %sInt64 %ld and %ld addition can result in overflow!Node:%s(%s) memory out of range, offset:%ld, size:%ld, exceed total size:%lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]Node:%s(%s) memory out of range, offset:%ld, size:%ld, exceed total size:%lu.op_desc[%s:%d]%lu %s:workspace_num[%zu]!= workspace_bytes[%zu]Call rtSetDevice failed, device_id:%u, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtSetDevice] failed, device_id:%u, ret:0x%XCall rtSetDieId failed, die_id:%ld, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtSetDevice] rtSetDieId, die_id:%ld, ret:0x%X((rtSetDevice(static_cast(device_id))) == 0)Call SetDevice failed, device_id:%u, die_id:%ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][SetDevice] failed, device_id:%u, die_id:%ld[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtSetDevice] failed, device_id:%u, ret:0x%Xge.exec.reuseZeroCopyMemory[%s:%d]%lu %s:%s is set to %s[%s:%d]%lu %s:Final StaticMemoryPolicy is set to %s.[%s:%d]%lu %s:GetVarConstPlaceHolderMemSize var_cph_mem_size = %zu.Param offset:%ld < 0, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Param offset:%ld cannot be negativeParam:var_manager is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_manager]null is invalid[Get][VarAddr] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][VarAddr] failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %slogic_var_base[%lu] is greater than int64_max[%ld] [%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Get mem_type:%d for offset:%ld is unsupported, check invalidParam:var_addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:var_addr]null is invalid[%s:%d]%lu %s:Got placeholder logic addr.[%s:%d]%lu %s:GetMaxVarMemSize max_var_mem_size = %lu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get MaxVarMemSize[%s:%d]%lu %s:The logic addr:0x%lx is weight address, base:0x%lx, size:%lu, mem_type:%lu.[%s:%d]%lu %s:Find mapping existed, logic_addr:%ld, dev_addr:0x%lxParam:mem_addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:mem_addr]null is invalid[%s:%d]%lu %s:The logic addr:0x%lx is variable address, base:0x%lx, size:%lu(mem_info.logic_memory_base >= 0)(mem_info.memory_size >= 0)[%s:%d]%lu %s:The logic addr:0x%lx matches type [%lu] address, logic base:0x%lx, size:%lu, mem_addr:%pCheck param logic addr:0x%lx abnormal[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The logic addr:0x%lx is abnormal[%s:%d]%lu %s:The logic addr is:0x%lx, base:0x%lx, size:%lu[%s:%d]%lu %s:The logic addr:0x%lx matches type [%lu] address, mem_addr:%p[%s:%d]%lu %s:Op: %s, Index: %zu, Tensor Desc is null[%s:%d]%lu %s:Tensor has no size, op: %s, input index: %zu[%s:%d]%lu %s:GetInputSize op:[%s], index:[%zu], size:[%ld][%s:%d]%lu %s:Output param invalid: output_offset=%zu, outputs=%zu.[%s:%d]%lu %s:Get op max size value = %ld[%s:%d]%lu %s:Tensor has no size, op: %s, output index: %zu[%s:%d]%lu %s:GetOutputSize op:[%s], index:[%zu], size:[%ld][%s:%d]%lu %s:Get dim_cnt failed[%s:%d]%lu %s:Op[%s], output tensor[%zu], dim[%d]: tensor_dim[%ld] is greater than INT32_MAX[%d][%s:%d]%lu %s:Need follow num is %luParam:model_def is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:model_def]null is invalidFailed to find op index %u in op list[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find op index %u in op listused_stream_num[%s:%d]%lu %s:Get used stream num failed, op is %s[%s:%d]%lu %s:Op[%s], input tensor[%zu], dim[%d]: tensor_dim[%ld] is greater than INT32_MAX[%d][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Memory] failed,Out of range, total size:%ld, offset:%ld, logic_memory_base:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Memory] failed,Out of range, total size:%ld, offset:%ld, bytes:%ld.Out of range, total size:%ld, offset:%ld, bytes:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %sOut of range, total size:%ld, offset:%ld, bytes:%ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %smem_type %lu is not supported for now.[%s:%d]%lu %s:%s is an optional output, don't need to get tensor desc addr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check] update tensor desc addr failed, tensor_cnt:%zu, size:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sshape dim size[%ld] out of range[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %soriginal shape dim size[%ld] out of range[%zu][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMemcpy] copy data_addr failed, size:%zu, ret:0x%X[%s:%d]%lu %s:Calc op[%s] tenser[%zu] desc addr[%p] ok[%s:%d]%lu %s:[GetDeployNum] graph %s has invalid deploy attr %s[%s:%d]%lu %s:[GetDeployNum] skip load for thread instance[%zu][%s:%d]%lu %s:[GetDeployNum] get deploy info instance number is %zuparallel group id must not be reserved, opname:, group id=E14002attribute[%s:%d]%lu %s: ErrorNo: %u(%s) %sParallel group id must not be reserved, group id:0x%x, opname:%s[%s:%d]%lu %s:Print Session Id:%luAttr:%s, memory_type.size:%zu != input_desc.size:%zu, op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s, memory_type.size:%zu != input_desc.size:%zu, op:%s(%s)[%s:%d]%lu %s:Op: %s, Index: %zu, has no input[%s:%d]%lu %s:[IMAS]GetInputDataAddrs graph_%u type[C] name[%s] input[%zu] size[%ld] memaddr[%p][%s:%d]%lu %s:[IMAS]GetInputDataAddrs graph_%u type[V] name[%s] input[%zu] memaddr[%p][%s:%d]%lu %s: ErrorNo: %u(%s) %s[IMAS]get failed for graph_%u %s[%s:%d]%lu %s:[IMAS]graph_%u %s memaddr[%p][%s:%d]%lu %s:Start GetInputAddrs: op_name[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check] GetInputOutputDescAddrs failed: op_name[%s][%s:%d]%lu %s:Start GetInputAddrsValue: op_name[%s][%s:%d]%lu %s:Start GetInputDataAddrsValue: op_name[%s].[%s:%d]%lu %s:Start GetInputDataAddrs: op_name[%s]Attr:%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)[%s:%d]%lu %s:Find mapping existed. index:%zu key offset:%ld, dev addr:%lx[%s:%d]%lu %s:%s is an optional output, the address don't need to be saved.[%s:%d]%lu %s:[IMAS]graph_%u type[V] name[%s] output[%zu] memaddr[%p][%s:%d]%lu %s:Start GetOutputAddrs: op_name[%s].[%s:%d]%lu %s:Start GetOutputAddrsValue: op_name[%s].[%s:%d]%lu %s:Start GetOutputDataAddrs: op_name[%s].[%s:%d]%lu %s:Start GetOutputDataAddrs: op_name[%s][%s:%d]%lu %s:v_workspace_offset.size()[%zu] != v_workspace_bytes.size()[%zu]workspace_reuse_flag[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s, memory_type.size:%zu and %s, memory_type.size:%zu and workspaces num:%zu should be same, op:%s(%s), check invalid[%s:%d]%lu %s:[IMAS]graph_%u type[F] name[%s] aicpu workspace[%zu] offset[%ld] bytes[%ld] memaddr[%p][%s:%d]%lu %s:Start GetWorkspaceDataAddrsValue: op_name[%s].[%s:%d]%lu %s:Start GetWorkspaceDataAddrs: op_name[%s].MultiModeSingleMode[%s:%d]%lu %s:Get op:%s attribute(is_blocking_op), value:%d[%s:%d]%lu %s:Get feature map memory info with details: [%s](sub_memory_info.size() >= 3U)sub_memory_info[0U]static_cast(RT_MEMORY_HBM)[%s:%d]%lu %s:Get one sub feature map memory info with details: [%s]((GetHbmFeatureMapMemInfo(ge_model, all_mem_info)) == ge::SUCCESS)_p_h_svm[%s:%d]%lu %s:runtime_param.fixed_mem_base:0x%lx, is_fixed_prior_fm:%dge::IntegerChecker::Compat(runtime_param.mem_size)total_hbm_size(static_cast(runtime_param.mem_size) - runtime_param.zero_copy_size)[%s:%d]%lu %s: ErrorNo: %u(%s) %sfailed to free memoryruntime_param.p2p_fixed_mem_size: %zu, mem_size:%zu(runtime_param.p2p_fixed_mem_size >= mem_size)[%s:%d]%lu %s:graph_%u use p2p_fixed_mem_base, mem_type[RT_MEMORY_P2P_DDR] mem_type_origin[%lu] mem_addr[%p] size[%zu].[%s:%d]%lu %s:Alloc extra memory failed, type:%u size: %zu[%s:%d][EVENT]%lu %s:[IMAS]InitFeatureMap graph_%u MallocMemory type[F] mem_type[%u] mem_type_origin[%lu] mem_addr[%p] size[%zu].[%s:%d]%lu %s:[IMAS]InitFeatureMap graph_%u MallocMemory type[F] mem_type[%u] mem_type_origin[%lu] mem_addr[%p] size[%zu].N2ge6AnyMap11PlaceholderEN2ge6AnyMap6HolderISt10shared_ptrISt6vectorIPvSaIS4_EEEEEN2ge6AnyMap6HolderISt10shared_ptrISt6vectorIlSaIlEEEEEN2ge6AnyMap6HolderISt10shared_ptrINS_17TilingContextAddrEEEESt15_Sp_counted_ptrIPSt6vectorIPvSaIS1_EELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPSt6vectorIlSaIlEELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge17TilingContextAddrELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrISt6vectorIPvSaIS5_EEEEESaIS9_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrISt6vectorIlSaIlEEEEESaIS8_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrINS0_17TilingContextAddrEEEESaIS6_ELN9__gnu_cxx12_Lock_policyE2EEstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr >]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr >]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]GetHcomHiddenInputSinkTilingContextargs_format_utils.ccParam:rt_resource_list is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:rt_resource_list]null is invalidattached stream_id [%zu]is invalid.stream_id < stream_list.size()_rt_resource_list(op_desc->SetExtAttr(kHcomHiddenInputs, rt_resource_list))Param:resource_type_list is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:resource_type_list]null is invalid_rt_resource_type(op_desc->SetExtAttr(kResourceTypes, resource_type_list))rt_resource_list->size()resource_type_list->size()[%s:%d]%lu %s:Op %s %s set attached stream %zu stream handle %p and stream type %ld successfully.Hidden func for type HCOM is not founded.((hidden_func) != nullptr)Call hcom hidden input failed, op:[%s].((hidden_func(op_desc, addr)) == ge::SUCCESS)((davinci_model.LaunchPlatformInfos(platform_infos_addr)) == ge::SUCCESS)op_para_size[%s:%d]%lu %s:No max tiling size in opdesc.((compute_node_extend_holder) != nullptr)((host_pointer) != nullptr)((device_addr) != nullptr)((tiling_holder) != nullptr)((memcpy_s(host_pointer.get(), aligned_tiling_size, tiling_holder.get(), aligned_tiling_size)) == EOK)((workspace_holder) != nullptr)((memcpy_s(&host_pointer[aligned_tiling_size], workspace_addr_size, workspace_holder.get(), workspace_addr_size)) == EOK)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build device tiling context.rtMemcpy(device_addr, total_plain_size, host_pointer.get(), total_plain_size, RT_MEMCPY_HOST_TO_DEVICE)(tiling_context_holder.output_addrs_.size() >= static_cast(gert::TilingContext::TilingOutputIndex::kOutputNum))_tiling_context_addr(node->GetOpDescBarePtr()->SetExtAttr(kTilingContextAddrs, tiling_context_addr))FSt10shared_ptrIN2ge8TaskInfoEEvEN2ge18CmoBarrierTaskInfoEPFSt10shared_ptrIN2ge8TaskInfoEEvESt15_Sp_counted_ptrIPN2ge18CmoBarrierTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsUpdateDumpInfosInitRegisterCreator[%s:%d]%lu %s:TaskManagerFactory::RegisterCreator: %d creator already existcmo_barrier_task_info.cc[%s:%d]%lu %s:CmoBarrierTaskInfo Distribute Start.ge::rtBarrierTaskLaunch(&barrier_task_info_, stream_, 0U)[%s:%d]%lu %s:CmoBarrierTaskInfo Distribute Success.[%s:%d]%lu %s:CmoBarrierTaskInfo Init Start.Param: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: ErrorNo: %u(%s) %sCurrent barrier info size is %d, should not > %dN2ge11CmoTaskInfoESt15_Sp_counted_ptrIPN2ge11CmoTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsUpdateDumpInfosInitRegisterCreatorcmo_task_info.cc[%s:%d]%lu %s:CmoTaskInfo Distribute Start.ge::rtCmoTaskLaunch(&cmo_task_info_, stream_, 0U)[%s:%d]%lu %s:CmoTaskInfo Distribute Success.[%s:%d]%lu %s:CmoTaskInfo Init Start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress]failed, logic write addr base is 0x%lx.[%s:%d]%lu %s:cmoType[%u], logicId[%u], qos[%u], partid[%u], pmg[%u], opCode[%u], numInner[%u], numOuter[%u], lengthInner[%u], striderOuter[%u], striderInner[%u]N2ge15CmoAddrTaskInfoESt15_Sp_counted_ptrIPN2ge15CmoAddrTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateHostArgsUpdateDumpInfosDistributeInitParseTaskRunParamRegisterCreatorcmo_addr_task_info.cc((args_io_addrs_updater_.SetArgIoAddrs(active_mem_base_addr, ValueToPtr(PtrToValue(host_args) + io_align_offset_), static_cast(host_args_max_len - io_align_offset_))) == ge::SUCCESS)[%s:%d]%lu %s:CmoAddrTaskInfo::UpdateArgs success.[%s:%d]%lu %s:CmoAddrTaskInfo Distribute Start, op:[%s]rtCmoAddrTaskLaunch(args_, sizeof(rtCmoAddrInfo), cmo_op_code_, stream_, 0U)rtMemcpy(&rts_sqe, sizeof(rtCmoAddrInfo), args_, sizeof(rtCmoAddrInfo), RT_MEMCPY_DEVICE_TO_HOST)((addr_info_) != nullptr)[%s:%d]%lu %s:CmoAddrTaskInfo Init StartParam:op_desc_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc_]null is invalid[Check][Param] Op:%s, args_placement:%d, dev addr is nullptr.((args_base != 0UL))static_cast(args[static_cast(args_placement_)].len) >= args_size_Input_addr size [%zu] is invalid, op: %s(iow_addrs.input_logic_addrs.size() == 1UL)[%s:%d]%lu %s:CmoAddrTaskInfo, op %s, args:[%p], inner_len:[%u].args io addrs updater init failed.((args_io_addrs_updater_.Init(davinci_model_->GetLogicalMemAllocation(), io_addrs_, io_addr_mem_types_, {op_desc_->GetName(), op_desc_->GetType()})) == ge::SUCCESS)(input_addrs.size() == 1UL)(mem_type.size() == 1UL)[%s:%d]%lu %s:args mem type:%u, args size:%lu, args placement:%dN2ge11DSATaskInfoESt15_Sp_counted_ptrIPN2ge11DSATaskInfoELN9__gnu_cxx12_Lock_policyE2EEReleaseUpdateDumpInfosPostProfilingProcessUpdateHostArgsDistributeInitWorkspaceInitSqeInitParseTaskRunParamPostDumpProcessPostProcessRegisterCreatordsa_task_info.ccCall rt api:rtModelGetTaskId failed, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rt api:rtModelGetTaskId failed, ret: 0x%X[Update][HostArgs]args does not support, host args size is %zu.((host_args.size() == 2U))[Update][HostArgs]invalid placement %d.(((arg.placement == ArgsPlacement::kArgsPlacementSqe) || (arg.placement == ArgsPlacement::kArgsPlacementHbm)))((UpdateHostArgsWithSqePlacement(active_mem_base_addr, arg.addr, static_cast(arg.len))) == ge::SUCCESS)((UpdateHostArgsWithHbmPlacement(active_mem_base_addr, arg.addr, static_cast(arg.len))) == ge::SUCCESS)[%s:%d]%lu %s:DSATaskInfo Distribute Start.ge::rtStarsTaskLaunchWithFlag(&dsa_sqe_, static_cast(sizeof(dsa_sqe_)), stream_, dump_flag_)rtModelGetTaskId(davinci_model_->GetRtModelHandle(), &task_id_, &stream_id_)[%s:%d]%lu %s:DSATaskInfo Distribute TaskId[%u], stream id [%u], dumpflag [%u] Success.dsa input data memcpy failed.((mem_ret) == EOK)workspace_data_addrs_.size()workspace_size.size()(static_cast(dev_size) >= (sizeof(uint64_t) * workspace_io_addrs_.size()))rtMemcpy(ValueToPtr(hbm_args), dev_size, workspace_io_addrs_.data(), sizeof(uint64_t) * workspace_io_addrs_.size(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:opType[%s] Node name[%s], hbm_args addr 0x%llx, dump args addr 0x%llx, dev_size 0x%llx.((InitWorkspace(op_desc, dsa_task)) == ge::SUCCESS)[%s:%d]%lu %s:DSATaskInfo Init Start.[Check][Param] Op:%s(%s) input logic addrs list size:%zu != input data addr list size:%zu((iow_addrs.input_logic_addrs.size() == input_data_addrs_.size()))[Check][Param] Op:%s(%s) output logic addrs list size:%zu != output data addr list size:%zu((iow_addrs.output_logic_addrs.size() == output_data_addrs_.size()))[Check][Param] Op:%s(%s) workspace logic addrs list size:%zu != workspace data addr list size:%zu((iow_addrs.workspace_logic_addrs.size() == workspace_data_addrs_.size()))((InitSqe(op_desc, dsa_task)) == ge::SUCCESS)((sqe_args_updater_.Init(davinci_model_->GetLogicalMemAllocation(), sqe_io_addrs_, sqe_args_refresh_flags_, {op_desc->GetName(), op_desc->GetType()})) == ge::SUCCESS)((workspace_args_updater_.Init(davinci_model_->GetLogicalMemAllocation(), workspace_io_addrs_, hbm_args_refresh_flags_, {op_desc->GetName(), op_desc->GetType()})) == ge::SUCCESS)[%s:%d]%lu %s:DSATaskInfo Init Success, hbm_workspace_args is 0x%llx.[Call][RtGetRtCapability] failed, ret = 0x%x.((rt_ret == RT_ERROR_NONE))[%s:%d]%lu %s:support_refresh:%d, value:%ldNode %s input addr size %zu is wrong((input_data_addrs_.size() >= kDSAInputAddrSize))Node %s output addr size %zu is wrong((output_data_addrs_.size() == kDSAOutputAddrSize))Node %s workspace addr size %zu is wrong((!workspace_data_addrs_.empty()))[%s:%d]%lu %s:opType[%s] Node name[%s], sqe args len is %ld, hbm_args len is %ld, workspace_size %ld, io size %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s workspace size %zu is wrongrtMalloc(&self_wkspace_base_, static_cast(wkspace_size), RT_MEMORY_HBM, GE_MODULE_NAME_U16)[%s:%d]%lu %s:DSATaskInfo PostDumpProcess TaskId[%u], stream id [%u], op_index [%u] args[%p] Success.[%s:%d]%lu %s:PostDumpProcess SuccessN2ge12DvppTaskInfoESt15_Sp_counted_ptrIPN2ge12DvppTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsUpdateDumpInfosstatic ge::TypeID ge::TypeID::Of() [with T = ge::OpsKernelInfoStore*]InitRegisterCreatordvpp_task_info.cc[%s:%d]%lu %s:DvppTaskInfo Distribute Start.ge::rtStarsTaskLaunch(ge_task_.dvpp_info.sqe, static_cast(sizeof(ge_task_.dvpp_info.sqe)), stream_)[%s:%d]%lu %s:DvppTaskInfo Distribute Success.[%s:%d]%lu %s:DvppTaskInfo Init Start.Can't get op_desc from davinci_model by index:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Op] Task op index:%u out of range!OpsKernelInfoStorePtrCall ops_kernel_info_store LoadTask fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Load][Task] fail, return ret:%u[%s:%d]%lu %s:DvppTaskInfo Init SuccessN2ge25NpuGetFloatStatusTaskInfoESt15_Sp_counted_ptrIPN2ge25NpuGetFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsUpdateHostArgsUpdateDumpInfosInitParseTaskRunParamRegisterCreatornpu_get_float_status_task_info.cc[%s:%d]%lu %s:NpuGetFloatStatusTaskInfo Distribute Start.ge::rtNpuGetFloatStatus(args_, output_size_, mode_, stream_)[%s:%d]%lu %s:NpuGetFloatStatusTaskInfo Distribute Success.[%s:%d]%lu %s:NpuGetFloatStatusTaskInfo::UpdateArgs in.((args_io_addrs_updater_.SetArgIoAddrs(active_mem_base_addr, host_args, host_args_max_len)) == ge::SUCCESS)[%s:%d]%lu %s:NpuGetFloatStatusTaskInfo::UpdateArgs success.[%s:%d]%lu %s:NpuGetFloatStatusTaskInfo Init Start.[Check][Param] dev addr is nullptr.((args[0].dev_addr != 0U))[%s:%d]%lu %s:op_name:%s, output_addr 0x%llx, mem_type 0x%llx, args %prtMemcpy(args_, args_size, &output_addr_, args_size, RT_MEMCPY_HOST_TO_DEVICE)((args_io_addrs_updater_.Init(davinci_model_->GetLogicalMemAllocation(), VPtrToValue(io_addrs_), io_addr_mem_types_, {op_desc->GetName(), op_desc->GetType()})) == ge::SUCCESS)[%s:%d]%lu %s:output_addr 0x%llx, mem_type 0x%llxN2ge27NpuClearFloatStatusTaskInfoESt15_Sp_counted_ptrIPN2ge27NpuClearFloatStatusTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsInitUpdateDumpInfosRegisterCreatornpu_clear_float_status_task_info.cc[%s:%d]%lu %s:NpuClearFloatStatusTaskInfo Distribute Start.ge::rtNpuClearFloatStatus(mode_, stream_)[%s:%d]%lu %s:NpuClearFloatStatusTaskInfo Distribute Sucess.[%s:%d]%lu %s:NpuClearFloatStatusTaskInfo Init Start.N2ge16EndGraphTaskInfoESt15_Sp_counted_ptrIPN2ge16EndGraphTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosInitDistributeRegisterCreatorend_graph_task_info.cc[%s:%d]%lu %s:InitEndGraphTaskInfo Init Start.[%s:%d]%lu %s:InitEndGraphTaskInfo Init Success, model:%p, stream:%p[%s:%d]%lu %s:EndGraphTaskInfo Distribute Start.Param:davinci_model_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:davinci_model_]null is invalid((davinci_model_->SetStreamLockOrUnlocK(stream_, false)) == ge::SUCCESS)[%s:%d]%lu %s:Start to call rtEndGraphExCall rtEndGraphEx failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtEndGraphEx] failed, ret:0x%x[%s:%d]%lu %s:Start to call rtEndGraphCall rtEndGraph failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtEndGraph] failed, ret:0x%xCall rtModelGetTaskId failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtModelGetTaskId] failed, ret:0x%X[%s:%d]%lu %s:EndGraphTaskInfo Distribute Success, task id is %u, stream id is %uN2ge19EventRecordTaskInfoESt15_Sp_counted_ptrIPN2ge19EventRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosInitDistributeRegisterCreatorevent_record_task_info.cc[%s:%d]%lu %s:EventRecordTaskInfo Init Start.Task event_id:%u > model event size:%zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] event list size:%zu, cur:%u![%s:%d]%lu %s:EventRecordTaskInfo Distribute Start.Call rtEventRecord failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtEventRecord] failed, ret:0x%XN2ge17EventWaitTaskInfoESt15_Sp_counted_ptrIPN2ge17EventWaitTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosInitDistributeRegisterCreatorevent_wait_task_info.cc[%s:%d]%lu %s:EventWaitTaskInfo Init Start.[%s:%d]%lu %s:EventWaitTaskInfo Distribute Start.Call rtStreamWaitEvent failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtStreamWaitEvent] failed, ret:0x%XCall rtEventReset failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtEventReset] failed, ret:0x%XN2ge20NotifyRecordTaskInfoESt15_Sp_counted_ptrIPN2ge20NotifyRecordTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosInitDistributeRegisterCreatornotify_record_task_info.cc[%s:%d]%lu %s:NotifyRecordTaskInfo Init Start.Task notify_id:%u > model notify size:%zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] notify list size:%zu, cur:%u![%s:%d]%lu %s:NotifyRecordTaskInfo Distribute Start.Call rtNotifyRecord failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtNotifyRecord] failed, ret:0x%XN2ge18NotifyWaitTaskInfoESt15_Sp_counted_ptrIPN2ge18NotifyWaitTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosDistributeSetNotifyHandleByEngineInitRegisterCreatornotify_wait_task_info.cc((op_desc_) != nullptr)[%s:%d]%lu %s:NotifyWaitTaskInfo distribute for %s %s.Call rtNotifyWait failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtNotifyWait] failed, ret:0x%Xgroup(AttrUtils::GetStr(op_desc_, GROUP_POLICY, group_name))((HcomTopoInfo::Instance().GetGroupNotifyHandle(group_name.c_str(), notify_)) == ge::SUCCESS)[%s:%d]%lu %s:Get notify %p for %s %s with stream %p and group %s successfully.[%s:%d]%lu %s:NotifyWaitTaskInfo init for op with index: %u.[%s:%d]%lu %s:NotifyWaitTaskInfo init for %s %s with index: %u.FjRKN4domi14FftsPlusCtxDefEP17tagFftsPlusComCtxEPFjRKN4domi14FftsPlusCtxDefEP17tagFftsPlusComCtxEParseLabelCtxParseSdmaCtxParseDataCtxParseAicpuCtxParseDsaCtxParsePersistentCacheCtxParseAtStartCtxParseAtEndCtxParseAicAivCtxParseMixAicAivCtxParseNotifyCtxParseWriteValueCtxParseCondSwitchCtxParseCaseSwitchCtxParseCaseDefaultCtxParseCaseCtxParseCtxByTypeParam:ctx is nullptr, check invalidffts_plus_context_adapter.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ctx]null is invalidRT_CTX_SUCCESSOR_NUMctx_def.successor_list_size()RT_CTX_SUCC_AT_START_SLOT_NUMctx_def.succ_at_start_slot_size()RT_CTX_SUCC_OUT_LABEL_SLOT_NUMctx_def.succ_out_label_slot_size()kSrcSlotNumctx_def.src_slot_size()kNotifyIdNumctx_def.notify_id_size()kWriteValueNumctx_def.write_value_size()Unsupported cond type %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][CtxType] Unsupported cond type %uRT_CTX_TRUE_SUCCESSOR_NUMctx_def.true_successor_list_size()RT_CTX_FALSE_SUCCESSOR_NUMctx_def.false_successor_list_size()not existexistcase_switch_ctx %s and case_default_ctx %s when software ctx type is case[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Ctx] case_switch_ctx %s and case_default_ctx %s when software ctx type is case[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit CaseSwitchCtx failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit CaseDefaultCtx failed[%s:%d]%lu %s: ErrorNo: %u(%s) %sContext type:[%d] is unsupported.N2ge16FftsPlusTaskInfoEN2ge21FftsPlusProtoTransfer21aicpu_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_ptrIN8optiling5utils9OpRunInfoEEEEN2ge6AnyMap6HolderISt10shared_ptrINS_18TilingSinkTaskInfoEEEESt15_Sp_counted_ptrIPN8optiling5utils9OpRunInfoELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge18TilingSinkTaskInfoELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge16FftsPlusTaskInfoELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrIN8optiling5utils9OpRunInfoEEEESaIS8_ELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt10shared_ptrINS0_18TilingSinkTaskInfoEEEESaIS6_ELN9__gnu_cxx12_Lock_policyE2EEstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]ReleaseUpdateHostArgsDumpFftsPlusTaskUpdateDumpInfosUpdateHostArgsCreateAicpuSessionInitDescBufInfoInitArgsBaseInfoLoadCustAicpuSoSetCachePersistentWayFindDumpArgsPostProcessInitTilingInfostatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]RegisterCreatorInitShapeInfosArgsAssembleOtherArgsByArgsBaseInitDumpArgsCalculateTilingDataSize ParseArgsFormatHandleSoftSyncOpDistributeInitPrePareForTransferParseTaskRunParam*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlmRPhRmE_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlRKSt10shared_ptrINS_6OpDescEERKSsRSt6vectorISt4pairIPvjESaISD_EEE0_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUljE1_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlRKSt10shared_ptrINS_6OpDescEEmmRKSt6vectorImSaImEEE2_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlvE3_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlR17STR_FWK_OP_KERNELE4_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlRKSt10shared_ptrINS_6OpDescEERKN4domi19FftsPlusAicpuCtxDefEE6_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlRKSt10shared_ptrINS_6OpDescEERjE5_*ZN2ge16FftsPlusTaskInfo19SetTransferCallbackERNS_21FftsPlusProtoTransferEEUlRKSt10shared_ptrINS_6OpDescEEE7_ffts_plus_task_info.cc[%s:%d]%lu %s:========Dump FftsPlusTask-begin-context, descBufLen =%lu========.stream_id:%u, task_id:%uidx:[]=[0x[%s:%d]%lu %s:========Dump FftsPlusTask-The %zu context: [%s][%s:%d]%lu %s:========Dump FftsPlusTask-end-context========[%s:%d]%lu %s:FftsPlusTaskInfo::UpdateHostArgs in.Param:ffts_flus_args_helper_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ffts_flus_args_helper_]null is invalidParam:ffts_proto_transfer_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ffts_proto_transfer_]null is invalid[%s:%d]%lu %s:FftsPlusTaskInfo::UpdateHostArgs success.CreateAicpuSession fail, session_id:%lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][AicpuSession] error. session id:%lu[%s:%d]%lu %s:Descbuf addr:[%p], 128-aligned addr:[%p], aligned_host:[%p] shape_desc_size:[%zu].Param:pis_args_dev_base_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:pis_args_dev_base_]null is invalidParam:pis_args_host_base_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:pis_args_host_base_]null is invalid[%s:%d]%lu %s:Args base init successfully, with details {pis_args_dev_base: %p pis_args_host_base: %p}[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][CustAicpuSo] failed.Invalid addr index %zu, max %zu(j <= input_addr_size)Failed to advise memory, persis id %u, error code %d, ptr addr %p, size %lu.(ret == RT_ERROR_NONE)[%s:%d]%lu %s:op:%s not save args[%s:%d]%lu %s:ctx op type %u is not supported, ctx id:%u, op index:%u[%s:%d]%lu %s:ctx op is nullptr, ctx id:%u, ctx type:%u, op index:%u[%s:%d]%lu %s:ffts exception dump, ctx id:%u, ctx type:%u, op index:%u, op name:%s, task id:%u, stream id:%u, args_size:[%zu][%s:%d]%lu %s:Op %s is not in the dump list._context_id_list[%s:%d]%lu %s:Op %s will not be dumped because of invalid arg address.[%s:%d]%lu %s:Save ctx op %s, ctx id:%u, ctx type:%u, op index:%u, task id:%u, stream id:%u, thread id:%u((rtMalloc(&tiling_data_dev, static_cast(tiling_data_len_ + kDescBufAlignedBytes), (0x2U), static_cast(GE))) == 0)((tiling_data_dev) != nullptr)(arg_desc.ir_idx >= 0) && (static_cast(arg_desc.ir_idx) < holder.ir_input_2_range.size())((input_desc) != nullptr)(arg_desc.ir_idx >= 0) && (static_cast(arg_desc.ir_idx) < holder.ir_output_2_range.size())((output_desc) != nullptr)InitShapeInfosArgs failed.((InitShapeInfosArgs(ctx_def, desc_val)) == ge::SUCCESS)shape_desc_size_ < pis_args_size_[%s:%d]%lu %s: ErrorNo: %u(%s) %scopy data failed, max args_size:%zu, desc_size:%zu.args size [%zu] is less than shape infos size [%zu].args_size_ >= shape_desc_size_[%s:%d]%lu %s:Op:%s(%s) need dump in ffts plus task info[%s:%d]%lu %s:op %s tiling data is %zu, is_atomic_op_type:%uE29999W29999prefetchinvalidatewriteback[%s:%d]%lu %s:Node [%s] has formatted args [%s]Formatted args [%s] parsed failed.((ArgsFormatDesc::Parse(op_desc, mix_ctx.args_format(), holder.arg_descs)) == ge::SUCCESS)((OpDescUtils::GetIrInputInstanceDescRange(op_desc_, holder.ir_input_2_range)) == ge::GRAPH_SUCCESS)((OpDescUtils::GetIrOutputDescRange(op_desc_, holder.ir_output_2_range)) == ge::GRAPH_SUCCESS)Param:tiling_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tiling_info]null is invalidParam: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) %sRecall tiling for op: %s failed.(op_desc->SetExtAttr(ATTR_NAME_ATOMIC_OP_RUN_INFO, tiling_info))(op_desc->SetExtAttr(ATTR_NAME_OP_RUN_INFO, tiling_info))Param: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: ErrorNo: %u(%s) %sRecall tiling for soft sync op: %s failed.(op_desc->SetExtAttr(ATTR_NAME_OP_RUN_INFO, run_info))[%s:%d]%lu %s:Success to set extra attr: %s to %s.[%s:%d]%lu %s:FftsPlusTaskInfo Distribute Start.ge::rtFftsPlusTaskLaunchWithFlag(&ffts_plus_task_info_, stream_, dump_flag_)((sink_info) != nullptr)_tiling_sink_task_info(op_desc_->SetExtAttr(kTilingSinkTaskInfo, sink_info))[%s:%d]%lu %s:FftsPlusTaskInfo Distribute Success, node_name:[%s], subgraph_name:[%s] stream_id:%u, task_id:%u.[%s:%d]%lu %s:FftsPlusTaskInfo Init Start, node: %s.((InitArgsBaseInfo(args)) == ge::SUCCESS)((ffts_flus_args_helper_) != nullptr)((AssembleOtherArgsByArgsBase(task_def.ffts_plus_task())) == ge::SUCCESS)((ffts_proto_transfer_->Transfer(op_desc_, task_def.ffts_plus_task(), ffts_plus_task_info_, desc_buf_host_, desc_buffer_len_)) == ge::SUCCESS)((ffts_flus_args_helper_->InitRuntimeAddr(davinci_model_)) == ge::SUCCESS)((ffts_flus_args_helper_->AssembleTilingData()) == ge::SUCCESS)[%s:%d]%lu %s:FftsPlusTaskInfo Init Success, node: %s.((davinci_model_) != nullptr)((SetStream(task_def.stream_id(), davinci_model_->GetStreamList())) == ge::SUCCESS)((ParseArgsFormat(ctx_def)) == ge::SUCCESS)Handle soft sync op %s failed.((HandleSoftSyncOp(ctx_def.op_index(), sub_op_desc)) == ge::SUCCESS)[Calc][CalculateTilingSize] failed, node:%s((CalculateTilingDataSize(sub_op_desc, is_atomic_op_type)) == ge::SUCCESS)[Call][SetCachePersistentWay] failed, node:%s.((SetCachePersistentWay(sub_op_desc)) == ge::SUCCESS)((InitTilingInfo()) == ge::SUCCESS)(!ge::MulOverflow(dsa_ctx_num, kDsaWorkspaceMaxSize, dsa_workspace_size_))[%s:%d]%lu %s:Prepare for task transfer-ing success, node: %s, ctx num: %d, dsa workspace size: %zu.(!ge::AddOverflow(args_size_, dsa_workspace_size_, args_size_))(!ge::AddOverflow(desc_buf_aligned_size_, args_size_, pis_args_size_))[%s:%d]%lu %s:After parser, args is %zu, pis args size is %zu((PrePareForTransfer(task_def)) == ge::SUCCESS)InitArgsBaseUpdateAicpuAddrsUpdateAddrsWithIOZcpyAssembleTilingDataGenAicpuRefreshInfosGetTaskArgsRefreshInfosAppendBinArgsAppendRtIoAddrsAppendAbsoluteAddrsAppendIoAddrsAppendAicpuAddrsSaveOffsetPairsPlanUpdaterArgslayOutInitRuntimeAddrAppendCtxLevel1Addrsbin args size [%zu] is greater than args_size:[%zu]args_size >= bin_args_sizeffts_plus_args_helper.cc[%s:%d]%lu %s:Args init successfully, with details {args: %p args_host: %p bin_args_host: %p args_size: %zu bin_args_size: %zu}[%s:%d]%lu %s: ErrorNo: %u(%s) %sAicpu ioaddr size mismatch.args_relevent_offsets_[idx] + sizeof(uint64_t) <= bin_args_size_((args_io_addrs_updater_.SetArgIoAddrs( active_mem_base_addr, PtrToPtr(io_addrs.data()), io_addrs.size() * sizeof(uint64_t))) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %scopy data failed, args_size:%zu, ioaddr_size:%zu.[%s:%d]%lu %s:Op %s update addr successfully.((rtMemcpy(PtrToPtr(tiling_data_dev_), static_cast(tiling_data_len_ + kDescBufAlignedBytes), PtrToPtr(tiling_data_host_), static_cast(tiling_data_len_), RT_MEMCPY_HOST_TO_DEVICE)) == 0)[%s:%d]%lu %s:Memcpy to tiling addr: %p, len: %zu successfully.Aicpu ioaddr size mismatch.(start_idx + args_relevent_offsets_.size() == args_fresh_info.size())bin args size [%zu] is overflowbin_args_size_ >= used_bin_args_size_[%s:%d]%lu %s: ErrorNo: %u(%s) %sBin args memcpy_s failed size_left:[%zu], copy_size:[%zu][%s:%d]%lu %s:AppendRtIoAddrs ctx_op:[%s] ctx_id:[%d] idx:[%zu], rt_addr:[%lx] iow_mem_type:[%lx][%s:%d]%lu %s:AppendAbsoluteAddrs addr_type:[%s] ctx_op:[%s] ctx_id:[%d] idx:[%zu], logic_addr:[%lx] mem_type:[%lx][%s:%d]%lu %s:AppendIoAddrs ctx_op:[%s] ctx_id:[%d] idx:[%zu], logic_addr:[%lx] iow_mem_type:[%lx][%s:%d]%lu %s:AppendAicpuAddrs ctx_op:[%s] ctx_id:[%d] idx:[%zu], rt_addr:[%lx] iow_mem_type:[%lx](!ge::AddOverflow(relevant_offset, used_bin_args_size_, ret))[%s:%d]%lu %s:Save cust_offset [%lu] to relevant offset:[%lu]io_addrs_.size()io_mem_types_.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Invalid args: args size: %zu, adds size: %zu((PlanUpdaterArgslayOut(davinci_model)) == ge::SUCCESS)[%s:%d]%lu %s:Op %s is ready for copy to addr %p, addr_size=%lu, len=%lu, aicaiv_addr_size=%zu, level1_addr_size=%zu, ascend_aicpu_addr_size=%zu.[%s:%d]%lu %s:AppendCtxLevel1Addrs ctx_op:[%s] ctx_id:[%d], idx:[%zu], addr:[%lx] iow_mem_type:[%lx]N2ge21FftsPlusProtoTransferEMN2ge21FftsPlusProtoTransferEFjRKN4domi14FftsPlusCtxDefEP17tagFftsPlusComCtxEMN2ge21FftsPlusProtoTransferEKFjRKN4domi14FftsPlusCtxDefEP17tagFftsPlusComCtxEN2ge6AnyMap6HolderISt6vectorImSaImEEEESt15_Sp_counted_ptrIPN2ge6hybrid19AicpuExtInfoHandlerELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN2ge6AnyMap6HolderISt6vectorImSaImEEEESaIS6_ELN9__gnu_cxx12_Lock_policyE2EEstatic ge::TypeID ge::TypeID::Of() [with T = std::vector]InitWriteValueCtxInitCondSwitchCtxInitCaseCtxIsAicpuFwkCtxTypeInitFftsPlusArgsCheckDeviceSupportBlockingAicpuOpProcessUpdateEventIdForAicpuBlockingOpSetQos2CtxSetQos2CtxSetQos2CtxSetQos2CtxCopyTaskInfoToWorkspaceInitAicpuTaskExtInfoInitDsaWorkSpaceGetAndCheckDsaAddrAssembleDsaWorkSpaceByInputstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]AssembleTilingContextArgsInitAicpuIoAddrsInitAicpuExtInfoAssembleDsaCtxByRealAddrUpdateCtxLevel1AddrsInitAicpuFwkAddrInfoInitAicpuFwkExtInfoInitAicpuCtxExpandMixOnlyInfosGetThreadIoAddrGetThreadIoAddrInitOpRunInfoSetTilingDataAddrInitManualAicAivCtxConstructArgsFromFormatInitManualMixAicAivCtxAppendCtxLevel1RrefreshInfoAppendDsaCtxLevel1RrefreshInfoGenCtxLevel1RefreshInfoInitAutoAicAivCtxInitAicAivCtxInitAutoMixAicAivCtxInitMixAicAivCtxInitAdditionalDataInitFftsPlusCtxTransferInitDsaCtxInitDataCtxInitSdmaCtxCall rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtGetQosConfig fail, group id:0x%x, device_id:%d, ret:%d[%s:%d]%lu %s:Ffts plus set qoscfg, opname:%s, group id:0x%x, qos:%u, mpamid:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %stask_addr start_idx[%d], size[%d], task_addr_offset size[%d], but need read count[%i]from gefrom engine[%s:%d]%lu %s:task base addr is %lu, offset is %ld set by %s, thread id is %u, logic addr is 0x%lxffts_plus_proto_transfer.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic write addr base is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic load addr0 base is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic load addr1 base is 0x%lx.[%s:%d]%lu %s:Get aicpu ctx type.[%s:%d]%lu %s:save ctx args, op idx:%u, ctx type:%u, ctx id:%urtGetDevice(&device_id)rtGetDeviceCapability(device_id, FEATURE_TYPE_BLOCKING_OPERATOR, RT_MODULE_TYPE_AICPU, &value)[%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 CheckDeviceSupportBlockingAicpuOp failed[%s:%d]%lu %s:Device not support blocking aicpu op processGet event id failed for op:%s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][EventId] Get event id failed for op:%s(%s)Update event id failed for op:%s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][EventId] Update event id failed for op:%s(%s)[%s:%d]%lu %s:Update event_id=%u successNode:%s(%s) workspace addr:%zu or size:%zu empty, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Node:%s invalid workspace, addrs is %zu, size is %zu.Node:%s(%s) workspace addr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Node:%s workspace addrs is null.Node:%s(%s) workspace size:%ld < task info size:%zu or workspace size > total mem size %lu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Node:%s workspace size is %ld, task info size is %zu or workspace size > total mem size %lu, check invalidrtMemcpy(workspace_data_addrs[0U], static_cast(workspace_data_sizes[0U]), task_info_addr, static_cast(task_info_addr_size), RT_MEMCPY_HOST_TO_DEVICE)[Malloc][Memory] for aicpu_ext_handle failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Malloc][Memory] for aicpu_ext_handle failed![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][KernelExtInfo] failed, kernel_ext_info_size=%zu, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][SessionInfoSessionId] failed, op:%s[%s:%d]%lu %s:Update aicpu_task ext_info session_info session_id is %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ExecuteMode] failed.[%s:%d]%lu %s:Node [%s] update aicpu_task ext_info bit_map execute mode to %d.[%s:%d]%lu %s:Aicpu all_shape kernel need to update io shape.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][UpdateInputShapeAndType] Input[%u] update input shape failed, op:%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: ErrorNo: %u(%s) %s[Call][UpdateOutputShapeAndType] Output[%u] update output shape failed, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][UpdateEventIdForAicpuBlockingOp] failed for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %sparam[%s] is out of rangeint dsa workspace firstint dsa workspace second[%s:%d]%lu %s: ErrorNo: %u(%s) %sNode %s input addr size %zu is wrongiow_mem_types.size()iow_addrs.size()[%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 wrongrtMemcpy(ValueToPtr(workspace_input_addr), static_cast(workspace_size[workspace_size.size() -1U]), input_addr.data(), sizeof(uint64_t) * input_addr.size(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s: ErrorNo: %u(%s) %sdsa input data memcpy failed.rtMemcpy(ValueToPtr(workspace_input_addr), static_cast(workspace_size[workspace_size.size() -1U]), &input_data[0U], sizeof(input_data), RT_MEMCPY_HOST_TO_DEVICE)Please check whether tiling task has been launched.((tiling_context_addr) != nullptr)sub idx [%d] is invalid.(sub_type == TilingContextSubType::TILING_DATA)sink tiling data.io_addrs.size()[%s:%d]%lu %s: ErrorNo: %u(%s) %sio_addrs size mismatch, ioaddr num[%zu], args_size_left:[%zu][%s:%d]%lu %s:Node[%s] type[%s] index[%zu], input addr=%lx, thread_offset:[%lu][%s:%d]%lu %s:Node[%s] type[%s] io_addrs size is [%zu]Call memcpy_s fail, io_size:%zu, addrs_size:%lu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Memcpy] failed, io_size:%zu, addrs_size:%lu, ret:0x%X[%s:%d]%lu %s:Begin to init aicpu op ext info, node:[%s], thread dim is %u.[%s:%d]%lu %s:[Init ffts plus aicpu ext info] thread num is %u, atm is %u, task_param_offset is %lu(!ge::MulOverflow(ext_handle->GetExtInfoLen(), thread_num, aicpu_ext_malloc_size))rtMalloc(&aicpu_ext_info_addr, aicpu_ext_malloc_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)[%s:%d]%lu %s: ErrorNo: %u(%s) %sproduct of (thread_num - 1U)[%u] and task_param_offset[%zu] >= args_size[%zu]rtMemcpy(ctx_ext_info_addr, ext_handle->GetExtInfoLen(), ext_handle->GetExtInfo(), ext_handle->GetExtInfoLen(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Node[%s] type[%s] kernel_ext_info size=%zu, current thread aicpu ext_info_addr=%p[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit aicpu[%s] io addrs failed[%s:%d]%lu %s:Init aicpu op context info success, arg_base:[%p][%s:%d]%lu %s:%s %s update ctx by real addr success.[%s:%d]%lu %s: ErrorNo: %u(%s) %sLevel1 addr_size [%zu] mismatches with ctx size:[%zu].[%s:%d]%lu %s:[IMAS] %s %s get real input data addr %lu[%s:%d]%lu %s:[IMAS] %s %s get real workspace addr %lu[%s:%d]%lu %s:[IMAS] %s %s get real output data addr %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid addr type:[%u] for op [%s %s].[%s:%d]%lu %s:[Check][Param] workspace_data_addrs is empty in op:%s(%s), take for dynamic shape.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[copy][TaskInfo] to workspace failed, op:%s.[%s:%d]%lu %s:Begin to init aicpu fwk op ext info.sizeof(STR_FWK_OP_KERNEL)args_sizertMalloc(&aicpu_ext_info_addr, ext_handle->GetExtInfoLen(), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(aicpu_ext_info_addr, ext_handle->GetExtInfoLen(), ext_handle->GetExtInfo(), ext_handle->GetExtInfoLen(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Node[%s] type[%s] kernel_ext_info size=%zu, aicpu_ext_info_addr=%p[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][InitAicpuFwkAddrInfo] failed, ext info size is %zu, op is %srtMalloc(&addr, sizeof(STR_FWK_OP_KERNEL), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(addr, sizeof(STR_FWK_OP_KERNEL), static_cast(fwk_op_kernel), sizeof(STR_FWK_OP_KERNEL), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Init aicpu fwk op context info Success. session id: %lurtMalloc(&so_name_addr, so_name_len, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(so_name_addr, so_name_len, so_name.data(), so_name_len, RT_MEMCPY_HOST_TO_DEVICE)rtMalloc(&kernel_name_addr, kernel_name_len, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(kernel_name_addr, kernel_name_len, kernel_name.data(), kernel_name_len, RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Init aicpu ctx user data success, node is [%s], type is [%s], so name is [%s], kernel name is [%s][%s:%d]%lu %s:%s %s is mix only, double pc and pref_cnt.[%s:%d]%lu %s:has cache tiling data with pos %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %sCopy tiling data failed, data pos: %zu, tiling size: %zu, rd_len: %ld.[%s:%d]%lu %s:Copy tiling data, op_name is %s, tiling addr is %p, data pos: %zu, tiling size: %zu.[%s:%d]%lu %s:set tiling addr, op name is %s, tiling addr is %lu, tiling data pos is %lutiling[%s:%d]%lu %s:op name is %s, kernel name is %s[%s:%d]%lu %s:index %d, task addr is 0x%lx, size:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of kernel_name in FftsPlusAicAivCtxDef should be %d, but %d exactly[%s:%d]%lu %s: ErrorNo: %u(%s) %sGet addr and pref cnt failed, kernel_name=%skAicAivCtxPcAddrNumiter != ir_input_2_range.end()dynamic_idx < format_holder.dynamic_infos.size()ptr_to_shape_desc_iter != ir_output_2_range.end()((ArgsFormatUtils::GetHcomHiddenInput(op_desc_, *davinci_model_, context_addr)) == ge::SUCCESS)hidden inputidx < ctx_def.task_addr_size()placeholder.((AssembleTilingContextArgs(arg_desc)) == ge::SUCCESS)dynamic addrs is invalid.format_holder.dynamic_infos.size() == dynamic_addr_start_idxes.size()((dynamic_info.ptr_offset_host_addr) != nullptr)addr index:[%d] is out of rangedyn_addr_idx < ctx_def.task_addr_size()ConstructArgsFormFormat failed.((ConstructArgsFromFormat(ctx_def, format_holder)) == ge::SUCCESS)[%s:%d]%lu %s:index %u, task addr is 0x%lx[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of kernel_name in FftsPlusMixAicAivCtxDef should be %zu, but %d exactly[%s:%d]%lu %s:Node [%s] set with default pc[%s:%d]%lu %s:Get addr and pref cnt failed, kernel_name=%skMixMultiKernelPcAddrCntkMixSingleKernelPcAddrCnt[%s:%d]%lu %s:%s %s addr type:%d, high32 level1 refresh info:[%s][%s:%d]%lu %s:%s %s addr type:%d, low32 level1 refresh info:[%s][%s:%d]%lu %s:%s %s append dsa context level1 refresh ino success.Level1 addr_size [%zu] mismatches with ctx size:[%zu].(addr_type_2_ctx_addr_infos.size() == real_addr_size)[%s:%d]%lu %s:%s %s get input data refresh info, allocation id %u, offset %lu[%s:%d]%lu %s:%s %s get workspace data real refresh info, allocation id %u, offset %lu[%s:%d]%lu %s:%s %s get output data refresh info, allocation id %u, offset %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvalid level addr type:[%u] for op [%s %s]._AllShape_mix_aic_mix_aiv_tensor_ctx_idno_tail_addr_pref_cnt.size()tail_addr_pref_cnt.size()[%s:%d]%lu %s:OpName: %s set schedule mode: %u[%s:%d]%lu %s:FftsPlusAicAivCtxDef: task param addr is %lu.(ModelUtils::CheckOpParallelGroupIdValid(parallel_group_id, op_desc_))Set qos to aic_aiv_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitAicAivCtx][SetQos2Ctx] Set qos to aic_aiv_ctx failed.[%s:%d]%lu %s:Context thread dim is zero, Dynamic shape mode.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Size of kernel_name in FftsPlusMixAicAivCtxDef should be %d, but %d exactlynon_tail_aic_addr_pref_cnt.size()tail_aic_addr_pref_cnt.size()non_tail_aiv_addr_pref_cnt.size()tail_aiv_addr_pref_cnt.size()[%s:%d]%lu %s:FftsPlusMixAicAivCtxDef: task param addr is %lu.rtGetC2cCtrlAddr(&mode_addr, &len)[%s:%d]%lu %s:save mode addr:0x%lx to mix_aic/mix_aiv args.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitMixAicAivCtx][SetQos2Ctx] Set qos to mix_aic_aiv_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit MixAicAivCtx in manual mode failed, node:[%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit MixAicAivCtx in auto mode failed[%s:%d]%lu %s:init additional data start, size:%d[%s:%d]%lu %s:additional data type:%u, context id:%uParam:com_ctx is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:com_ctx]null is invalid[%s:%d]%lu %s:Init ctx %d in FftsPlusTask, context_type=%u, op_index=%u, name=%sParse context type [%u] failed, index:[%d]((FftsPlusContextAdapter::ParseCtxByType(ctx_type, ctx_def, temp_ctx)) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit ffts_plus ctx failed, ctx_index:%d, type:[%u]Param:find_node_handle_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:find_node_handle_]null is invalid(!ge::MulOverflow(sizeof(rtFftsPlusComCtx_t), static_cast(ctx_num), ctx_total_size))rtGetDevice(&device_id_)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:sqe_ctx]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ffts_plus_sqe]null is invalidbuffer_lendesc_buf_len[%s:%d]%lu %s:Init ctx begin, node %s, args_base=0x%lx, ctx_num=%dParam:sqe_ctx is nullptr, check invalidParam:ffts_plus_sqe is nullptr, check invalid[%s:%d]%lu %s:Init DsaCtx for %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %sGetAndCheckDsaAddr failed for %sSet qos to data_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitDataCtx][SetQos2Ctx] Set qos to data_ctx failed.[Check][GetRtAddress] failed, logic addr base is 0x%lx((run_addr_handle_(static_cast(logic_base), addr_base, mem_type)) == ge::SUCCESS)Set qos to sdma_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitSdmaCtx][SetQos2Ctx] Set qos to sdma_ctx failed.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic src addr is 0x%lx.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][GetRtAddress] failed, logic dst addr is 0x%lx.N2ge19FusionStartTaskInfoESt15_Sp_counted_ptrIPN2ge19FusionStartTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsInitUpdateDumpInfosRegisterCreatorfusion_start_task_info.cc[%s:%d]%lu %s:FusionStartTaskInfo Distribute Start.Call rtKernelFusionStart failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtKernelFusionStart] failed, ret:0x%X[%s:%d]%lu %s:FusionStartTaskInfo Distribute Success.[%s:%d]%lu %s:FusionStartTaskInfo Init Start.N2ge18FusionStopTaskInfoESt15_Sp_counted_ptrIPN2ge18FusionStopTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsInitUpdateDumpInfosRegisterCreatorfusion_stop_task_info.cc[%s:%d]%lu %s:FusionStopTaskInfo Distribute Start.Call rtKernelFusionEnd failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtKernelFusionEnd] failed, ret:0x%X[%s:%d]%lu %s:FusionStopTaskInfo Distribute Success.[%s:%d]%lu %s:FusionStopTaskInfo Init Start.N2ge12HcclTaskInfoESt15_Sp_counted_ptrIPN2ge12HcclTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateDumpInfos~HcclTaskInfoUpdateHostArgsCreateStreamGetTypeSizeByDataTypeUpdateHostArgsUpdateDumpInfosInitZeroCopyInfosSetQosCfgSetOverflowAddrsSetFollowStreamInsertDumpOpParseTaskRunParamUpdateIoAndWorkspaceAddrsSetWorkspacestatic ge::TypeID ge::TypeID::Of() [with T = ge::OpsKernelInfoStore*]GetPrivateDefByTaskDefCreateKernelHcclInfoSetZeroCopyAddrsSetAddrsRegisterCreatorTransToGETaskInfoReleaseDistributeInitPostProcesshccl_task_info.ccCall rtFreeHost failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtFree] Fail, ret = 0x%X.[%s:%d]%lu %s:Start to create %ld hccl stream.((davinci_model_->GetReusableStreamAllocator()) != nullptr)rtModelBindStream(davinci_model_->GetRtModelHandle(), stream, static_cast(RT_MODEL_WAIT_ACTIVE_STREAM))[%s:%d]%lu %s:hccl_stream addr is=%p[%s:%d]%lu %s:CreateStream success.kValidTypeSizetype_size[%s:%d]%lu %s:type size is %d[%s:%d]%lu %s:HcclTaskInfo::UpdateArgs in.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][HcclDumpAddrs] fail! op:%s[%s:%d]%lu %s:HcclTaskInfo::UpdateArgs success.[%s:%d]%lu %s:HcclTaskInfo::UpdateDumpInfos in.(host_args_max_len >= (sizeof(uint64_t) * (input_size + output_size)))[%s:%d]%lu %s:HcclTaskInfo::UpdateDumpInfos success.input_zero_copy_flag_size %d is not equal with op input size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sinput_zero_copy_flag_size %d is not equal with op input size %zu[%s:%d]%lu %s:Get HCCL input zero copy flag: %doutput_zero_copy_flag_size %d is not equal with op output size %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %soutput_zero_copy_flag_size %d is not equal with op output size %zu[%s:%d]%lu %s:Get HCCL output zero copy flag: %d(ModelUtils::CheckOpParallelGroupIdValid(parallel_group_id, op_desc))Hccl call rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sHccl call rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s:Hccl set qoscfg, opname:%s, group id:0x%x, qos:%u, mpamid:%u[%s:%d]%lu %s:Node %s Optye %s no need to create slave streams.[%s:%d]%lu %s:op_desc has no attr used_stream_num or is invalid!hccl_stream_num[%s:%d]%lu %s:capacity of follow stream is enough to be reused.[%s:%d]%lu %s:need to reuse follow stream and create new follow stream.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][Stream] for %s failed, stream id:%ld, stream num:%lu.[%s:%d]%lu %s:Initialize hccl slave stream success, hcclStreamNum =%ld[%s:%d]%lu %s:need to create follow stream for %s with new mainstream %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Create][Stream] for %s failed, stream id:%ld, stream num:%ld.[%s:%d]%lu %s:Data Dump is on, dump op fo node: %s, type: %s, stream flag: %u.[%s:%d]%lu %s:Insert input dump op fo node: %s, type: %s.[%s:%d]%lu %s:Insert output dump op fo node: %s, type: %s.[%s:%d]%lu %s:HcclTaskInfo Init, op_index is: %u[%s:%d]%lu %s:Calc opType[%s] args size. Node name is [%s][%s:%d]%lu %s:HcclTaskInfo::is fixed addr op:%d.[%s:%d]%lu %s:SetWorkspace Node[%s] opType[%s] set workspace.[%s:%d]%lu %s:hccl need workSpaceMemSize=%lu[%s:%d]%lu %s:get custom info in modelTaskDef.[%s:%d]%lu %s:The first address of the custom info, privateDef=%p.[%s:%d]%lu %s:Hccl task support zero copy: op:%s((davinci_model_->DisableZeroCopy(kernel_hccl_infos[0].inputDataAddrs[i])) == ge::SUCCESS)((davinci_model_->DisableZeroCopy(kernel_hccl_infos[0].outputDataAddrs[i])) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] HcomOmeUtil:: the number of GETaskKernelHcclInfo is invalid, node:%s(%s).[%s:%d]%lu %s:Set hccl task input output address, node[%s], type[%s] kernel_hccl_infos.size[%zu].[%s:%d]%lu %s:Calc opType[%s] input address before. Node name[%s][%s:%d]%lu %s:Hccl task info known input addr %p, output addr %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcomOperationType] fail! op:%s((davinci_model_->DisableZeroCopy(input_data_addr)) == ge::SUCCESS)((davinci_model_->DisableZeroCopy(output_data_addr)) == ge::SUCCESS)[%s:%d]%lu %s:Hccl task id:%zu, need refresh:%d[%s:%d]%lu %s:HcclTaskInfo unload Start. begin to call function unloadTask in hccl.Check param ops_kernel_store_ nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] ops kernel store is null.Call ops_kernel_info_store unloadTask fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[UnLoad][Task] fail, return ret:%u[%s:%d]%lu %s:HcclTaskInfo unload Success.[%s:%d]%lu %s:HcclTaskInfo Distribute Start, op %s, type %sInsert hccl input dump op fail[%s:%d]%lu %s: ErrorNo: %u(%s) %sInsert hccl input dump op failcall hccl op:%s(%s) load task fail[%s:%d]%lu %s: ErrorNo: %u(%s) %scall hccl op:%s(%s) load task failInsert hccl output dump op fail[%s:%d]%lu %s:HcclTaskInfo Distribute Success.[%s:%d]%lu %s:HcclTaskInfo Init Start.[%s:%d]%lu %s:Hccl stream id %u, stream flag %u.Param:hccl_op_desc_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:hccl_op_desc_]null is invalid[%s:%d]%lu %s:HcclTaskInfo Init, op_index is: %u, op:%s(%s)Call GetHorovodInputs fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HorovodInputs] fail for op:%s(%s)Call GetHcclDataType fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcomDataType] fail for op:%s(%s)Call GetHcclCount fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][HcomCount] fail for op:%s(%s)Call GetAllRootId fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][RootId] fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Stream] Fail for op:%s(%s)((args[static_cast(args_placement)].dev_addr != 0U))[%s:%d]%lu %s:Known node %s args addr %p.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit ZeroCopyInfos failed, node:%s(%s).[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Addrs] Fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Workspace] Fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][OverflowAddrs] Fail for op:%s(%s)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][SetQosCfg] Fail for op:%s(%s)((args_io_addrs_updater_.Init(davinci_model_->GetLogicalMemAllocation(), io_addrs_, io_addr_mem_types_, {hccl_op_desc_->GetName(), hccl_op_desc_->GetType()})) == ge::SUCCESS)[%s:%d]%lu %s:HcclTaskInfo Init SuccessParam:ops_kernel_store_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ops_kernel_store_]null is invalid[Prepare][Task] fail, return ret:%u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Prepare][Task] fail, return ret:%u[%s:%d]%lu %s:HcclTaskInfo prepare task success for op:%s(%s)[%s:%d]%lu %s:HcclTaskInfo PostProcess, op_index is: %uinput_desc_ptrsdma_op_desc[%s:%d]%lu %s:Save dump op %s, op type: %s, task id: %u, stream id: %u, input size: %zu, output size: %zuN2ge16KernelExTaskInfoESt15_Sp_counted_ptrIPN2ge16KernelExTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateDumpInfosUpdateHostArgsReleaseInitKernelBufferAddrAssembleKernelBufferInitDumpFlagInitDumpArgsCheckDeviceSupportBlockingAicpuOpProcessUpdateEventIdForAicpuBlockingOpDistributeWaitTaskForAicpuBlockingOpDistributeInitTaskExtInfoUpdateHostArgsUpdateDumpInfosAssembleWorkSpaceAddrInitInputOutputAddrRegisterCreatorAssembleInputOutputAddrInitParseTaskRunParamkernel_ex_task_info.ccrtMalloc(&kernel_buf_, kernel_buf_size_, mem_type_, GE_MODULE_NAME_U16)[%s:%d]%lu %s:Op %s use %s mem %p for kernel_buf with flag %drtMemcpy(kernel_buf_, kernel_buf_size_, PtrToPtr(fwk_op_kernel), kernel_buf_size_, memcpy_kind_)[%s:%d]%lu %s:Op %s need init dump flag in kernel ex task info[%s:%d]%lu %s:Op %s need dump in kernel ex task info[%s:%d]%lu %s:Op debug is open in kernel ex task info[%s:%d]%lu %s:Device not support blocking aicpu op process.[%s:%d]%lu %s:Distribute wait task begin[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][GetEventByStream] Call GetEventByStream failedrtStreamWaitEvent(stream_, rt_event)rtEventReset(rt_event, stream_)[%s:%d]%lu %s:KernelExTaskInfo Distribute Start.rtKernelLaunchFwk(op_desc_->GetName().c_str(), kernel_buf_, kernel_buf_size_, dump_flag_, stream_)[%s:%d]%lu %s:KernelExTaskInfo Distribute Success. task id: %u, stream id: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][DistributeWaitTaskForAicpuBlockingOp] Call DistributeWaitTaskForAicpuBlockingOp failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Parse][KernelExtInfo] failed, ext_info_size=%zu[%s:%d]%lu %s:Update aicpu_task ext_info bit_map execute mode to %d.rtMalloc(&ext_info_addr_, ext_handle.GetExtInfoLen(), mem_type_, GE_MODULE_NAME_U16)rtMemcpy(ext_info_addr_, ext_handle.GetExtInfoLen(), ext_handle.GetExtInfo(), ext_handle.GetExtInfoLen(), memcpy_kind_)[%s:%d]%lu %s:Op %s use %s mem %p for ext info with flag %d[%s:%d]%lu %s:KernelExTaskInfo::UpdateArgs in.(io_addrs_.size() * sizeof(uint64_t) <= host_args_max_len)[%s:%d]%lu %s:KernelExTaskInfo::UpdateArgs success.[%s:%d]%lu %s:KernelExTaskInfo::UpdateDumpInfos in.[%s:%d]%lu %s:KernelExTaskInfo::UpdateDumpInfos success.rtMalloc(&workspace_base_addr, kernel_def.task_info().size(), mem_type_, GE_MODULE_NAME_U16)rtMemcpy(workspace_base_addr, kernel_def.task_info().size(), kernel_def.task_info().data(), kernel_def.task_info().size(), memcpy_kind_)[%s:%d]%lu %s:Op %s use %s mem %p for workspace_base_addr with flag %d[%s:%d]%lu %s:Op %s deploy_type_flag %d, input_output_addr %p, addrs_size %zu(input_output_addr_ != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed mapping zero copy task for %s to bundle task[%s:%d]%lu %s:KernelExTaskInfo Init Start.Param kernel_ex_def.args().size():%zu > sizeof(STR_FWK_OP_KERNEL):%zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] kernel_ex_def.args().size():%zu > sizeof(STR_FWK_OP_KERNEL):%zuCall memcpy_s fail, size:%zu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Memcpy] failed, size:%zu, ret: %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][TaskExtInfo] failed, ext_info size=%zu, op:%s[%s:%d]%lu %s:Node[%s] type[%s] kernel_ext_info size=%zu, ext_info_addr_=%p, deploy_type_flag %d[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][Param] failed for [%s].[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Assemble][WorkSpace] to workspace failed, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Assemble][Param] failed for [%s].[%s:%d]%lu %s:KernelExTaskInfo Init Success, node %s, session id: %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Op] By Index, index:%u is out of range!(sizeof(uint64_t) * (inputs_size + outputs_size))uint32_t[%s:%d]%lu %s:mem_size %u, inputs_size %zu, outputs_size %zu, input_data_addrs size %zu, output_data_addrs size %zu.[%s:%d]%lu %s:kernel task name %s, args_size %u, args_size_t %u pls %u, deploy_type_flag %dN2ge14KernelTaskInfoESt15_Sp_counted_ptrIPN2ge14KernelTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateDumpInfosstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]UpdateHostArgsReleaseUpdateTaskIdUpdateRunInfoByTilingResultCheckDeviceSupportBlockingAicpuOpProcessUpdateEventIdForAicpuBlockingOpDistributeWaitTaskForAicpuBlockingOpUpdateNoncontinuousArgsInitTVMContextUpdateExtraInfoStoreInputOutputTensorUpdateL2DataWithSmDescUpdateL2DataUpdateL2DataAssembleKernelNamesAndLaunchGetTilingKeyAndDataIsSeparatelyCleanTaskSetQosCfgIsMarkedLastNodeParseAicpuExtInfoHandlerInitAicpuTaskExtInfoUpdateArgsSizeWithCustomizedSaveSKTDumpInfoSKTFinalizeSuperKernelLaunchSuperKernelDistributeInitAICPUCustomTaskstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]CopyTilingDataIfNeededInitArgsAddrUpdateContinuousArgsInitFusionDumpInfostatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]AssembleTilingContextArgsSetIoAddrsForCustomizedAssembleArgsInitAicpuTaskInitAicpuKfcTaskRegisterCreatorDistributeAicoreTaskParseArgsFormatAssembleShapeInfoAddrsAssembleTilingSinkTensorsSetTvmTaskZeroCopy InitDumpArgs GetTaskArgsRefreshInfosUpdateDumpInfosUpdateHostArgs CcKernelTypeToRtKernelTypeLaunchAicpuKernelWithArgsDistributeSaveL0DumpListWithArgsFormatAssembleIoByArgsFormatInitTVMTaskInitTVMTaskInitTVMTaskSetIoAddrsInitKernelByContextInitKernelWithHandleInitKernelInitParseTaskRunParamkernel_task_info.cctiling_data_holder[%s:%d]%lu %s:UpdateTaskId:UpdateTaskId [%u], stream id [%u]:[%s:%d]%lu %s:Update run info of %s, block dim: %u, tiling key: %lu, clear atomic: %d, workspace size: %zu.rtGetDeviceCapability(device_id, FEATURE_TYPE_BLOCKING_OPERATOR, RT_MODULE_TYPE_AICPU, &val)[%s:%d]%lu %s:device not support blocking aicpu op process.Call GetEventByStream failed[%s:%d]%lu %s:kernel_type:%d, task_id:%u, offset:%zu, io_addrs_size:%zu, args_size:%u, host_args_len:%zu.(static_cast(args_size_) > offset)((args_io_addrs_updater_.SetArgIoAddrs(active_mem_base_addr, &args_addr_[offset], addr_size)) == ge::SUCCESS)[Call][Memcpy] failed, size:%zu, ret:%d((sec_ret) == EOK)args_offset().size():%zu / sizeof(uint16_t) less than 1, op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]invalid, args_offset().size():%zu / sizeof(uint16_t) less than 1, op:%s(%s)((memcpy_s(&args_offset, sizeof(uint16_t), context.args_offset().data(), sizeof(uint16_t))) == EOK)args_size_args_offset[%s:%d]%lu %s:Get args_offset[%u] of op[%s]rtMalloc(&aicpu_ext_info_addr_, ext_handle.GetExtInfoLen(), RT_MEMORY_HOST_SVM, GE_MODULE_NAME_U16)rtMemcpy(aicpu_ext_info_addr_, ext_handle.GetExtInfoLen(), ext_handle.GetExtInfo(), ext_handle.GetExtInfoLen(), RT_MEMCPY_HOST_TO_HOST)[%s:%d]%lu %s:op %s use host mem %p for ext infortMalloc(&aicpu_ext_info_addr_, ext_handle.GetExtInfoLen(), RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(aicpu_ext_info_addr_, ext_handle.GetExtInfoLen(), ext_handle.GetExtInfo(), ext_handle.GetExtInfoLen(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:op %s use device mem %p for ext info with flag %drtMalloc(&custom_info_.input_descs, total_desc_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(custom_info_.input_descs, total_desc_size, input_descs.data(), total_desc_size, RT_MEMCPY_HOST_TO_DEVICE)(customized_args_info_.input_addr_offset <= args_size_)rtMalloc(&custom_info_.output_descs, total_desc_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(custom_info_.output_descs, total_desc_size, output_descs.data(), sizeof(ccAICPUTensor) * output_size, RT_MEMCPY_HOST_TO_DEVICE)(customized_args_info_.output_addr_offset <= args_size_)sizeof(rtL2Ctrl_t)sm_desc.size()rtMemAllocManaged(&sm_desc_, sm_desc.size(), RT_MEMORY_SPM, GE_MODULE_NAME_U16)rtMemcpy(sm_desc_, sm_desc.size(), sm_desc.data(), sm_desc.size(), RT_MEMCPY_HOST_TO_DEVICE)((memcpy_s(sm_desc.data(), kernel_def.sm_desc().size(), kernel_def.sm_desc().data(), kernel_def.sm_desc().size())) == EOK)rtMalloc(&launch_addr_, total_launch_size, RT_MEMORY_HOST_SVM, GE_MODULE_NAME_U16)rtMemcpy(launch_addr_, launch_info.size(), launch_info.c_str(), launch_info.size(), RT_MEMCPY_HOST_TO_HOST)rtMalloc(&kernel_name_arg_, sizeof(rtKernelLaunchNames_t), RT_MEMORY_HOST_SVM, GE_MODULE_NAME_U16)[%s:%d]%lu %s:Using host mem info: kernel_name_arg_ %p, so_name_host_ %p, kernel_name_host_ %p, op_name_host_ %prtMemcpy(kernel_name_arg_, sizeof(rtKernelLaunchNames_t), PtrToPtr(&launch_name), sizeof(rtKernelLaunchNames_t), RT_MEMCPY_HOST_TO_HOST)rtAicpuKernelLaunchWithFlag(PtrToPtr(kernel_name_arg_), block_dim_, &args_ex_, nullptr, stream_, dump_flag_)atomic_op_para_size_atomic_kernelname[%s:%d]%lu %s:Node: %s has_set_atomic_kernel_name: %d, is_need_atomic_clean: %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s:Kernel task set qoscfg, opname:%s, group id:0x%x, qos:%u, mpamid:%uCheck param davinci_model nullptr[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] davinci_model is null![%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Op] by index failed, index:%u is out of range!Param:ex_handle is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:ex_handle]null is invalid((ParseAicpuExtInfoHandler(op_desc_, ext_info, ex_handle)) == ge::SUCCESS)((ex_handle) != nullptr)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Update][ExecuteMode] failed, op:%s[%s:%d]%lu %s:Update aicpu_task ext_info bit_map execute mode to 1.[%s:%d]%lu %s:Aicpu workspace_info has_space_type=%d[%s:%d]%lu %s:workspace_info size&addr%lu %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][UpdateWorkSpaceInfo] failed, op:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][UpdateExtraInfo] failed, op:%s.(!ge::MulOverflow(ModelUtils::GetInputDescs(op_desc).size(), kAddressLen, customized_args_info_.input_addr_size))(!AddOverflow(args_size_, customized_args_info_.input_addr_size, args_size_))(!ge::MulOverflow(ModelUtils::GetOutputDescs(op_desc).size(), kAddressLen, customized_args_info_.output_addr_size))customized_args_info: args/after_align:/ , is aligned: , input_addr_size/offset is / , output_addr_size/offset is [%s:%d]%lu %s:%s [%s:%d]%lu %s:no need save skt dump info[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Save][SKTDumpInfo] failed[%s:%d]%lu %s:SuperKernel Distribute [skt_id:%u][%s:%d]%lu %s:SuperKernelLaunch: Skt_kernel_list has no task, just return[%s:%d]%lu %s:SuperKernelLaunch: Skt_kernel_list size[%zu] skt_arg_list[%zu]rtKernelLaunchWithFlag(skt_info.kernel_list.front(), static_cast(skt_info.last_block_dim), &args_ex, PtrToPtr(skt_info.last_sm_desc), skt_info.last_stream, skt_info.last_dump_flag)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][SKTFinalize] failedCall SuperKernelFactory init fail, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][SuperKernelFactory] failed, ret:0x%XCall SuperKernelFactory FuseKernels fail, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][FuseKernels] failed, ret:0x%XCall SuperKernelFactory Launch fail, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Launch] failed, ret:0x%X[%s:%d]%lu %s:SuperKernelLaunch: success[skt_kernel_list size[%zu] skt_arg_list[%zu]][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][SuperKernelLaunch] failed, taskid:%urtKernelLaunchWithFlag(stub_func_, block_dim_, &args_ex, PtrToPtr(sm_desc_), stream_, dump_flag_)[%s:%d]%lu %s:Current Common Task Distribute [taskid:%u][%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][SaveSuperKernelInfo] failed, taskid:%u[%s:%d]%lu %s:Do InitAICPUCustomTaskcontext.args_offset().size():%zu / sizeof(uint16_t) is less than kCustomAicpuArgsLen:%u, op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] context.args_offset().size():%zu / sizeof(uint16_t) is less than kCustomAicpuArgsLen:%u, op:%s(%s)((memcpy_s(ctx_.argsOffset.data(), (sizeof(uint16_t) * kCustomAicpuArgsLen), context.args_offset().data(), (sizeof(uint16_t) * kCustomAicpuArgsLen))) == EOK)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Store][InputOutputTensor] Failed, op:%s(%s)Attr:%s in op:%s(%s) size is 0, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] param op_attr_size is out of range, op:%srtMalloc(&custom_info_.attr_handle, op_attr_size, RT_MEMORY_HBM, GE_MODULE_NAME_U16)rtMemcpy(custom_info_.attr_handle, op_attr_size, buffer.GetData(), op_attr_size, RT_MEMCPY_HOST_TO_DEVICE)((io_addrs_.size() * kAddressLen) >= kernel_def.args().size())[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Memcpy] failed, size:%zu, ret:0x%Xctx.argsOffset[%u]: %u + sizeof(uint64_t): %zu >= kernelDef.args().size():%zu, op:%s(%s) check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] ctx.argsOffset[%u]:%u + sizeof(uint64_t):%zu >= kernelDef.args().size():%zucustomized io_addrs info are size:, arg_0 offset/pos/addr:, arg_1 offset/pos/addr:, arg_2 offset/pos/addr:, arg_3 offset/pos/addr:, arg_4 offset/pos/addr:[%s:%d]%lu %s: ErrorNo: %u(%s) %sUpdate run info by tiling result failed.[%s:%d]%lu %s:OpName: %s update schedule mode from tiling info: %u[%s:%d]%lu %s:Tiling data of %s is empty.Param:tiling_data_addr_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:tiling_data_addr_]null is invalidrtMemcpy(tiling_data_addr_, tiling_data_size_, tiling_data.data(), tiling_data.size(), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:Success to update tiling data to io_addr of %s, addr: %p, size: %zu.offset:%zu >= argsSize:%zu or content:%zu beyond applied memory:%zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] offset:%zu >= argsSize:%u or content:%zu beyond applied memory:%zu, check invalid[%s:%d]%lu %s:Init op[%s], type[%s] args addr start, is_addrs_folded[%d], device_addrs size[%zu], has_overflow_addr[%d], is_separately_clean_task[%d].[Call][Memcpy] failed, size:%zu, ret:%#x, has_overflow_addr:%d.(sec_ret == 0)((args_io_addrs_updater_.SetArgIoAddrs(active_mem_base_addr, host_args, host_args_len)) == ge::SUCCESS)(io_addrs_.size() * sizeof(uint64_t) <= host_args_len)[%s:%d]%lu %s:Op %s init dump flagOnly aicpu_kfc task is supported to do task sink.kernel_type_ == ccKernelType::AI_CPU_KFC((const_node) != nullptr)((node) != nullptr)((ArgsFormatUtils::SinkTilingContext(node, *davinci_model_, index_to_tensor)) == ge::SUCCESS)Failed to sink tiling context.[%s:%d]%lu %s: ErrorNo: %u(%s) %sir index [%d] is invalid.[%s:%d]%lu %s:customized has kernel_def_args_size:%u, after align:%u, args num:%zu(!ge::MulOverflow(io_addrs_.size(), kAddressLen, args_size))((InitArgsAddr(tensor_device_addrs, PtrToPtr(io_addrs_.data()), io_addr_mem_types_, args_size)) == ge::SUCCESS)[%s:%d]%lu %s:op %s use device mem %p for arg info with flag %d[%s:%d]%lu %s:Do InitAicpuTasksizeof(aicpu::AicpuParamHead)[%s:%d]%lu %s:node[%s] so name %s, kernel name %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Launch][CustAicpuSo] failed, node: %snewcce task physical memory.Call memcpy_s fail, size:%u, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][Memcpy] failed, size:%u, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Init][AicpuTaskExtInfo] failed, ext_info size=%zu[%s:%d]%lu %s:Node[%s] type[%s] kernel_ext_info size=%zu, aicpu_ext_info_addr_=%p((memcpy_s(&(args_addr_[io_addr_offset_]), args_size_max, io_addrs_.data(), addrs_size)) == EOK)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Assemble][Addrs] failed, node: %s[%s:%d]%lu %s:Do InitAicpuKfcTask, op:[%s].((memcpy_s(&(args_addr_[cur_offset]), args_size_max, io_addrs_.data(), addrs_size)) == EOK)args_size_max >= kernel_name_size((strncpy_s(reinterpret_cast(&(args_addr_[cur_offset])), args_size_max, kernel_name_.c_str(), kernel_name_.size())) == EOK)args_size_max >= so_name_size((strncpy_s(reinterpret_cast(&(args_addr_[cur_offset])), args_size_max, so_name_.c_str(), so_name_.size())) == EOK)[%s:%d]%lu %s:Init AicpuKfc Kernel successfully, Op:[%s], kernel_name_offset:[%u], so_name_offset:[%u], sink_tensor_size:[%zu]. [%s] report l0 exception dump addr failed((ReportL0ExceptionDumpInfo(op_desc_, l0_dump_list_)) == ge::SUCCESS)[%s:%d]%lu %s:Start to launch kernel of %s.rtKernelLaunchWithFlagV2(stub_func_, block_dim_, &args_ex_, PtrToPtr(sm_desc_), stream_, dump_flag_, &cfg_)rtKernelLaunchWithHandleV2(handle_, tiling_key_, block_dim_, &args_ex_, nullptr, stream_, &cfg_)rtVectorCoreKernelLaunch(stub_func_, block_dim_, &args_ex_, PtrToPtr(sm_desc_), stream_, dump_flag_, &cfg_)rtVectorCoreKernelLaunchWithHandle(handle_, tiling_key_, block_dim_, &args_ex_, nullptr, stream_, &cfg_)[%s:%d]%lu %s:Node: %s launch kernel success, task_type:%u, args: %p, argsize: %u, tiling key: %lu, block dim: %u, stream_id:%u, task_id:%u.((ArgsFormatDesc::Parse(op_desc_, args_format, args_format_holder_.arg_descs)) == ge::SUCCESS)((OpDescUtils::GetIrInputInstanceDescRange(op_desc_, args_format_holder_.ir_input_2_range)) == ge::GRAPH_SUCCESS)((OpDescUtils::GetIrOutputDescRange(op_desc_, args_format_holder_.ir_output_2_range)) == ge::GRAPH_SUCCESS)arg_format.ir_idx >= 0 && static_cast(arg_format.ir_idx) < args_format_holder_.ir_input_2_range.size()arg_format.ir_idx >= 0 && static_cast(arg_format.ir_idx) < args_format_holder_.ir_output_2_range.size()Failed to get op registry func for node %s.((op_impl) != nullptr)((ge::OpDescUtils::GetInputIrIndexByInstanceIndex(op_desc_, i, ir_index)) == ge::SUCCESS)[%s:%d]%lu %s:Node [%s]'s [%zu]th input has tiling dependency.dynamic_args_desc.size() == args_format_holder_.offset_idx.size()args_format_holder_.offset_idx[i] < args_format_holder_.shape_infos.size()ptr_offset_idx < io_addrs_.size()level2_addr_idx[i] < io_addrs_.size()[%s:%d]%lu %s:Set ptr_offset idx:[%zu], addr:[%lx] value:[%lx]ir_idx:[%zu], begin_index [%zu] is out of range, max_size:[%zu].begin_idx < input_data_addrs_.size()begin_idx < output_data_addrs_.size()[%s:%d]%lu %s:IoAddr Offset:[%zu] double aligned tensor size:[%zu].((host_tensor) != nullptr)Input index [%zu] is invalid, inputs size:[%zu]tiling_idx < input_data_addrs_.size()Tensor addr index [%zu] is invalid, io mem type size:[%zu].addr_idx < io_addr_mem_types_.size()[%s:%d]%lu %s:Set tensor addr index [%zu] memory type with [%lu] by input idx:[%zu]is_last_nodewspModefoldedunfolded[%s:%d]%lu %s:Op %s need dump in task info[%s:%d]%lu %s:Op debug is open in kernel task info[%s:%d]%lu %s:KernelTaskInfo::GetTaskArgsRefreshInfos in.[%s:%d]%lu %s:KernelTaskInfo::UpdateArgs in.[%s:%d]%lu %s:cc type:[%u], rt_type:[%u]((rtAicpuKernelLaunchExWithArgs(rt_kernel_type, op_desc_->GetNamePtr(), block_dim_, &aicpu_args_ex_, nullptr, stream_, flag)) == 0)[%s:%d]%lu %s:KernelTaskInfo Distribute Start, op: %s[%s:%d]%lu %s:distribute task info kernel_type: %d, flag: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sLaunch aicpu kernel with args failed, op:[%s].[%s:%d]%lu %s:KernelTaskInfo Distribute Start, sktenable:%d taskid:%u sktid:%u last_sktid:%u stubfunc_name:%s stubfunc:%p blockdim:%u stream:%p[%s:%d]%lu %s: ErrorNo: %u(%s) %sLaunch kernel of aicore task failed.[%s:%d]%lu %s:KernelTaskInfo Distribute Success. taskid:%d sktid:%d stubfunc_name:%s stubfunc:%p blockdim:%d stream:%p[%s:%d]%lu %s:Node need to save l0 exception dumpp list form [%zu] to [%ld].input ir idx [%zu] is not foundoutput ir idx [%zu] is not foundworkspace ir_idx:[%zu] is output of range, max_size:[%zu]ir_idx < workspace_addrs_.size()((AssembleTilingSinkTensors(idx_to_sink_tensor_map)) == ge::SUCCESS)[%s:%d]%lu %s:Node: %s needs to reserve a tiling data addr [%p].((AssembleTilingContextArgs(arg_format, idx_to_sink_tensor_map)) == ge::SUCCESS)((AssembleShapeInfoAddrs(dynamic_args_desc, level_addr_idx)) == ge::SUCCESS)((SaveL0DumpListWithArgsFormat()) == ge::SUCCESS)[%s:%d]%lu %s:args_: %p, arg_tilng_data_addr: %p.[%s:%d]%lu %s:Do InitTVMTask end[%s:%d]%lu %s:Do InitTVMTask with handle of %s.Kernel is not founded for op :[%s] with kernel name:[%s](TBEHandleStore::GetInstance().FindTBEHandle(kernel_name, handle_))[%s:%d]%lu %s:OpName: %s set schedule mode from kernel def: %u[%s:%d]%lu %s:Do InitTVMTask of %s.Call rtGetFunctionByName failed op:%s(%s), bin_file_key:%s, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Execute][RtGetFunctionByName] failed for op:%s(%s), bin_file_key:%s[%s:%d]%lu %s:io_addrs_size:%zu, args_size:%zu[%s:%d]%lu %s:Node: %s needs to reserve a tiling data address.Param:operator_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:operator_]null is invalidorigin_op_index_size:%d is more than CC_FUSION_OP_MAX(%d), op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]invalid, origin_op_index_size:%d is more than CC_FUSION_OP_MAX(%d), op:%s(%s)[%s:%d]%lu %s:KernelTaskInfo init start, is_skt_enable: %d.[%s:%d]%lu %s:node[%s] is_n_batch_spilt %d[%s:%d]%lu %s:node[%s] has_group_key_ %d, group key is [%ld][Check][Param] Op:%s, dev addr is nullptr.((args[static_cast(args_placement_)].dev_addr != 0U))Copy tiling data to device failid.((CopyTilingDataIfNeeded()) == ge::SUCCESS)[Assemble][Addresses] failed, op = %s.((AssembleIoByArgsFormat()) == ge::SUCCESS)[Set][Addresses] failed, op = %s.((SetIoAddrs()) == ge::SUCCESS)[%s:%d]%lu %s: ErrorNo: %u(%s) %sOp[%s] kernel type[%d] invalid.[%s:%d]%lu %s:KernelTaskInfo init with handle finish.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Node op:%s(%s) kernel type invalid[%s:%d]%lu %s:KernelTaskInfo init finish, result=%u.[%s:%d]%lu %s:KernelTaskInfo init finish.[%s:%d]%lu %s:OP [%s] has formatted args_format:[%s].ParseArgsFormat failed, op:[%s].((ParseArgsFormat(context.args_format())) == ge::SUCCESS)[%s:%d]%lu %s:Op:[%s] args size from_task:[%u], extra_size:[%zu](!AddOverflow(args_size_, static_cast(extra_args_size), args_size_))((UpdateArgsSizeWithCustomized(op_desc_)) == ge::SUCCESS)[%s:%d]%lu %s:Get args size[%u] of op[%s], is_wsp_addr_folded[%d], is known node[%d], task_type: %d, placement: %d.N2ge16UpdatePCTaskInfoESt15_Sp_counted_ptrIPN2ge16UpdatePCTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosInitGetKernelHandlestatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]static ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]DistributeRegisterCreatorupdate_pc_task_info.cc[%s:%d]%lu %s:UpdatePCTaskInfo Init Start.Rts does not support multi handles.name_prefix.size() == 1UL(TBEHandleStore::GetInstance().FindTBEHandle(kernel_name, handle))[%s:%d]%lu %s:UpdatePCTaskInfo Distribute Start.Sink task info is nullptr, please check if target task has been launched.((sink_task_info) != nullptr)Tiling info is nullptr, please check if tiling task has been launched.((GetKernelHandle(handle)) == ge::SUCCESS)rtModelTaskUpdate(sink_task_info->stream, sink_task_info->task_id, stream_, &update_info_)[%s:%d]%lu %s:UpdatePCTaskInfo Distribute Success.N2ge11NopTaskInfoESt15_Sp_counted_ptrIPN2ge11NopTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsInitUpdateDumpInfosRegisterCreatornop_task_info.cc[%s:%d]%lu %s:NopTaskInfo Distribute Start.rtNopTask(stream_)[%s:%d]%lu %s:NopTaskInfo Distribute Success.[%s:%d]%lu %s:NopTaskInfo Init Start.N2ge19LabelGotoExTaskInfoESt15_Sp_counted_ptrIPN2ge19LabelGotoExTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgs~LabelGotoExTaskInfoUpdateDumpInfosDistributeInitRegisterCreatorlabel_goto_ex_task_info.cc[%s:%d]%lu %s:LabelGotoExTaskInfo Distribute Start.Param:args_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:args_]null is invalidParam:index_value_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:index_value_]null is invalidParam args_size_ is 0, check fail[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] branch max:%u, args size:%u invalid.Call rtLabelSwitchByIndex failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtLabelSwitchByIndex] failed, ret:0x%X[%s:%d]%lu %s:LabelGotoExTaskInfo Distribute Success.[%s:%d]%lu %s:LabelGotoExTaskInfo Init Start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s(%s) fail.rtMalloc(&index_value_, sizeof(uint64_t), memory_type, GE_MODULE_NAME_U16)rtMemcpy(index_value_, sizeof(uint64_t), &branch_index, sizeof(uint64_t), RT_MEMCPY_HOST_TO_DEVICE)[%s:%d]%lu %s:LabelGotoExTaskInfo Init Success, label id:%uN2ge16LabelSetTaskInfoESt15_Sp_counted_ptrIPN2ge16LabelSetTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsUpdateDumpInfosInitRegisterCreatorlabel_set_task_info.cc[%s:%d]%lu %s:LabelSetTaskInfo Distribute Start.Call rtLabelSet failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtLabelSet] failed, ret:0x%X[%s:%d]%lu %s:LabelSetTaskInfo Distribute Success.[%s:%d]%lu %s:LabelSetTaskInfo Init Start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] LabelSetTaskInfo:%s attr [%s] not exist.lable_index:%u >= label_list.size():%zu in model, op:%s(%s), check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] LabelSetTaskInfo: Invalid label id:%u, label size:%zu, op:%s(%s)[%s:%d]%lu %s:LabelSetTaskInfo Init success, label id:%u, label:%p.N2ge26LabelSwitchByIndexTaskInfoESt15_Sp_counted_ptrIPN2ge26LabelSwitchByIndexTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgs~LabelSwitchByIndexTaskInfoUpdateDumpInfosDistributeInitRegisterCreatorParseTaskRunParamlabel_switch_by_index_task_info.cc[%s:%d]%lu %s:LabelSwitchByIndexTaskInfo Distribute Start, branch max: %ubranch_max_:%u or args_size_:%u is 0, check invalid[%s:%d]%lu %s:LabelSwitchByIndexTaskInfo Distribute Success.[%s:%d]%lu %s:LabelSwitchByIndexTaskInfo Init Start.Param:op_desc is nullptr, check invalid, label switch op_index:%u out of range[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc]null is invalid, label switch op_index:%u out of range[Check][Param] Op:%s, input logic addr list is empty.((!(iow_addrs.input_logic_addrs.empty())))((davinci_model->DisableZeroCopy(index_value_)) == ge::SUCCESS)Get Attr:%s in op:%s(%s) fail, attribute value not set[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s(%s) failed, attribute value not setlabel_idx_list in op:%s(%s) is empty, or size:%zu != branch_max:%u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] %s(%s) label index size:%zu, task branch max:%u.Param:label_list[static_cast(label_id)] is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:label_list[static_cast(label_id)]]null is invalid(!ge::MulOverflow(branch_max_, sizeof(rtLabelDevInfo), args_size_))rtMalloc(&args_, static_cast(args_size_), memory_type, GE_MODULE_NAME_U16)rtLabelListCpy(label_used.data(), static_cast(label_used.size()), args_addr, args_size_)[%s:%d]%lu %s:LabelSwitchByIndexTaskInfo Init success, branch max: %u.[%s:%d]%lu %s:Begin to calculate args, op_index is: %uOp:%s, input_data_addrs.size():%zu or input size:%zu != %u, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Op:%s, input_data_addrs.size():%zu, input size:%zu != %u.[%s:%d]%lu %s:parse task param, input_data_addrs %llu, mem_types %llu(!ge::MulOverflow(label_max, sizeof(rtLabelDevInfo), args_size_))N2ge23MemcpyAddrAsyncTaskInfoESt15_Sp_counted_ptrIPN2ge23MemcpyAddrAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosUpdateHostArgsSetArgsAlignProcSetQosCfgDistributeInitParseTaskRunParamRegisterCreatormemcpy_addr_async_task_info.ccargs io addrs updater set args io addrs failed.[%s:%d]%lu %s:MemcpyAddrAsyncTaskInfo::UpdateArgs success.[%s:%d]%lu %s:args mem type:%u, args placement:%d, args_size:%lu[%s:%d]%lu %s:args_align_offset:%lu, args_io_align_offset:%luMemcpyAddrAsync call rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sMemcpyAddrAsync call rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s:Memcpy addr async set qoscfg, opname:%s, group id:0x%x, qos:%u, mpamid:%uParam:op_desc is nullptr, check invalid op_index: %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc]null is invalid op_index: %u[%s:%d]%lu %s:MemcpyAddrAsyncTaskInfo Distribute Start, op %s, dst_max:%lu, count:%lu, kind:%uCall rtMemcpyAsyncWithCfg failed, size:%lu,ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtMemcpyAsyncWithCfg] failed, size:%lu, ret:0x%XrtMemcpy(host_args_align_, kStarsSdmaSqeSize, device_args_align_, kStarsSdmaSqeSize, RT_MEMCPY_DEVICE_TO_HOST)[%s:%d]%lu %s:MemcpyAddrAsyncTaskInfo Init Start[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Op] Task op index:%u out of range((SetArgsAlignProc(args, op_desc)) == ge::SUCCESS)[Check][Param] Op:%s, output logic addr list is empty.((!(iow_addrs.output_logic_addrs.empty())))[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Set][Addrs] failed, op:%s[%s:%d]%lu %s:MemcpyAddrAsyncTaskInfo, op %s, logic[0x%lx, 0x%lx], src:%p, dst:%p, max:%lu, count:%lu, args:%p((davinci_model_->DisableZeroCopy(src_)) == ge::SUCCESS)((davinci_model_->DisableZeroCopy(dst_)) == ge::SUCCESS)((args_io_addrs_updater_.Init(davinci_model_->GetLogicalMemAllocation(), io_addrs_, io_addr_mem_types_, {op_desc->GetName(), op_desc->GetType()})) == ge::SUCCESS)N2ge19MemcpyAsyncTaskInfoESt15_Sp_counted_ptrIPN2ge19MemcpyAsyncTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateHostArgsUpdateDumpInfosSetQosCfgDistributeInitParseTaskRunParamAcquireRegisterCreatormemcpy_async_task_info.cc[%s:%d]%lu %s:MemcpyAsyncTaskInfo::UpdateArgs in.[%s:%d]%lu %s:MemcpyAsyncTaskInfo::UpdateArgs success.MemcpyAsync call rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s: ErrorNo: %u(%s) %sMemcpyAsync call rtGetQosConfig fail, group id:0x%x, deviceid:%d, ret:%d[%s:%d]%lu %s:Memcpy async set qoscfg, opname:%s, group id:0x%x, qos:%u, mpamid:%u[%s:%d]%lu %s:MemcpyAsyncTaskInfo Distribute Start. op %s, src:%p, dst:%p, dst_max:%lu, count:%lu, kind:%uCall rtMemcpyAsyncWithCfg failed, size:%lu, ret:0x%X[%s:%d]%lu %s:MemcpyAsyncTaskInfo Distribute Success[%s:%d]%lu %s:MemcpyAsyncTaskInfo Init Start((args_io_addrs_updater_.Init(davinci_model_->GetLogicalMemAllocation(), addrs, io_addr_mem_types_, {op_desc->GetName(), op_desc->GetType()})) == ge::SUCCESS)[%s:%d]%lu %s:MemcpyAsyncTaskInfo Init Success, op name %s, src:%p, dst:%p, args_placement:%d, max:%lu, count:%lu.[%s:%d]%lu %s:MemcpyAsyncTaskInfo Init Success, op name %s, logic[0x%lx, 0x%lx], src:%p, dst:%p, max:%lu, count:%lurts_param.logic_mem_basememcpy_async.dst()Param:dst is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst]null is invalid[%s:%d]%lu %s:op_desc:%s, src:%p, src_mem_type:0x%lx, dst:%p, dst_mem_type:0x%lx, args_mem_type:0x%x, args_placement:%dN2ge17ModelExitTaskInfoESt15_Sp_counted_ptrIPN2ge17ModelExitTaskInfoELN9__gnu_cxx12_Lock_policyE2EEDistributeUpdateHostArgsUpdateDumpInfosInitRegisterCreatormodel_exit_task_info.cc[%s:%d]%lu %s:ModelExitTaskInfo Distribute Start.Call rtModelExit failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtModelExit] failed, ret:0x%x[%s:%d]%lu %s:ModelExitTaskInfo Distribute Success.[%s:%d]%lu %s:InitModelExitTaskInfo Init Start.[%s:%d]%lu %s:InitModelExitTaskInfo Init Success, model:%p, stream:%pN2ge21ProfilerTraceTaskInfoESt15_Sp_counted_ptrIPN2ge21ProfilerTraceTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsDistributeUpdateDumpInfosInitRegisterCreatorprofiler_trace_task_info.cc[%s:%d]%lu %s:ProfilerTraceTaskInfo Distribute Start. logid = %lu. notify = %d.[%s:%d]%lu %s:ProfilerTraceTaskInfo logid:%lu is out of range.[%s:%d]%lu %s:ProfilerTraceTaskInfo load model with queue no need distribute.[%s:%d]%lu %s:ProfilerTraceTaskInfo Distribute Success.[%s:%d]%lu %s:ProfilerTraceTaskInfo Init Start.[%s:%d]%lu %s:model id is %u[%s:%d]%lu %s:ProfilerTraceTaskInfo Init Success.N2ge20StreamActiveTaskInfoESt15_Sp_counted_ptrIPN2ge20StreamActiveTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosInitDistributeRegisterCreatorstream_active_task_info.cc[%s:%d]%lu %s:StreamActiveTaskInfo Init Start.flowctrl index:%zu >= active_stream_list size:%zu in op:%s, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] stream id index invalid. index:%zu, list size:%zu, op:%sactive_stream_index:%u in op:%s(%s) >= stream size:%zu in model, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] active_stream_index:%u in op:%s(%s) >= stream size:%zu in model[%s:%d]%lu %s:InitStreamActiveTaskInfo Init Success, index:%zu, active stream:%p, stream id:%u.[%s:%d]%lu %s:StreamActiveTaskInfo Distribute Start.Call rtStreamActive failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtStreamActive] failed, ret:0x%X[%s:%d]%lu %s:StreamActiveTaskInfo Distribute Success. active stream:%p.N2ge20StreamSwitchTaskInfoESt15_Sp_counted_ptrIPN2ge20StreamSwitchTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsUpdateDumpInfosDistributeInitInputValueAndTypeInitParseTaskRunParamRegisterCreatorstream_switch_task_info.cc[%s:%d]%lu %s:StreamSwitchTaskInfo Distribute Start.Call rtStreamSwitchEx fail, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtStreamSwitchEx] failed, ret:0x%X[%s:%d]%lu %s:StreamSwitchTaskInfo Distribute Success. cond:%d, stream:%p, datatype:%d.Get Attr:%s in op:%s(%s) fail, attribute value not int[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s(%s) fail, attribute value not int[Check][Param] Op:%s(%s) input logic addrs list size:%zu != %d((iow_addrs.input_logic_addrs.size() == STREAM_SWITCH_INPUT_NUM))[%s:%d]%lu %s:StreamSwitchTaskInfo Init Start.Param:op_desc is nullptr, check invalid, stream switch op_index:%u out of range[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:op_desc]null is invalid, stream switch op_index:%u out of rangeGet Attr:%s in op:%s fail, active_stream_list.size():%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Attr] %s in op:%s fail, active_stream_list.size():%zuactive_stream_index:%zu in op:%s(%s) >= stream list size:%zu in model, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] active_stream_index:%zu in op:%s(%s) >= stream list size:%zu in model((davinci_model_->DisableZeroCopy(input_ptr_)) == ge::SUCCESS)((davinci_model_->DisableZeroCopy(value_ptr_)) == ge::SUCCESS)[%s:%d]%lu %s:InitStreamSwitchTaskInfo Init Success, cond:%d, trueStream:%p, trueStreamID:%u, datatype:%d.[%s:%d]%lu %s:parse task param, input_addrs[0] %llu, mem_types[0] %llu, input_addrs[1] %llu, mem_types[1] %lluN2ge21StreamSwitchNTaskInfoESt15_Sp_counted_ptrIPN2ge21StreamSwitchNTaskInfoELN9__gnu_cxx12_Lock_policyE2EEUpdateHostArgsDistributeUpdateDumpInfosGetTrueStreamPtrParseTaskRunParamAcquireInputPtrUpdateInitRegisterCreatorstream_switchn_task_info.cc[%s:%d]%lu %s:StreamSwitchNTaskInfo Distribute Start.Call rtStreamSwitchN failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtStreamSwitchN] failed, ret:0x%X[%s:%d]%lu %s:StreamSwitchNTaskInfo Distribute Success. inputSize:%u, elementSize:%d, datatype:%d.active_stream_list.size:%zu in op:%s(%s) >= stream list size:%zu in model,check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] InitStreamSwitchNTaskInfo get true stream id list failed. true stream size:%zu, stream list size:%zu.active_stream_id:%u in op:%s(%s) >= stream list size:%zu in model,check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s [Check][Param] stream id:%u in op:%s invalid, stream list size:%zu.[%s:%d]%lu %s:InitStreamSwitchTaskInfo, trueStreamList index: %zu.active_stream_list.size():%zu in op:%s(%s) is empty, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] true stream list is null, op:%s.input_offset size:%zu or input_length.size:%zu in op:%s(%s) is empty,check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] op:%s input offset size %zu, input legnth size:%zu[%s:%d]%lu %s:StreamSwitchN's input_ptr is %p[%s:%d]%lu %s:StreamSwitchNTaskInfo Init Start.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][Op] failed, as Index is out of range, index:%uCHECK failed: (total_size_ - current_size_) >= (n): task_Def.stream_switch_n.target_value:%d in op:%s(%s) is 0,check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] The number of gears in dynamic batch scenario can not be 0, op:%s.[%s:%d]%lu %s:InitStreamSwitchTaskInfo, valuePtr value[%d]: %ld.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][TrueStreamPtr] of switchN op:%s failed.[Check][Param] Op:%s(%s) input logic addrs list size is empty((!iow_addrs.input_logic_addrs.empty()))((davinci_model->DisableZeroCopy(input_ptr_)) == ge::SUCCESS)[%s:%d]%lu %s:StreamSwitchNTaskInfo Init Success, inputSize:%u, elementSize:%d, trueStreamID:%ld.SetTaskTagLaunchsuper_kernel.ccCall rtMalloc failed, size:%lu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMalloc] failied, size:%lu, ret:0x%XCall rtMemcpy failed, size:%lu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMemcpy] failied, size:%lu, ret:0x%XCall rtKernelLaunchWithFlag failed, dump_flag:%u, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][rtKernelLaunchWithFlag] failied. error: 0x%X~SuperKernelFactoryInitFuseKernelssuper_kernel_factory.cc[%s:%d]%lu %s:SKT: SKT LIB PATH release.[%s:%d]%lu %s:failed to close handle, message: %ssuper_kernel_templatelibcce_aicore.so[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Open][SktLib] failed, please check LD_LIBRARY_PATH. errmsg:%sCall rtGetFunctionByName failed, stub_func:%s, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtGetFunctionByName] failed. stub_func:%s, please export LD_LIBRARY_PATH for libcce_aicore.soCall rtGetAddrByFun failed, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtGetAddrByFun] failed, ret:0x%X[%s:%d]%lu %s:SKT: fuseKernels super_kernel_template subFunc %p, device func address %p[%s:%d]%lu %s:SKT: func_stub_ is empty. Please make sure init() is run first[%s:%d]%lu %s:SKT: The size of stub_func_list doesn't match args_addr_list[%s:%d]%lu %s:SKT: the number of kernels being fused must be greater than or equal to 2[%s:%d]%lu %s:SKT: superkernel start fuse, superkernel size %zu.[%s:%d]%lu %s:SKT: fuseKernels subFunc %p, device func address %p[%s:%d]%lu %s:SKT: CALL offet %lu[%s:%d]%lu %s:SKT: fuseKernels args base address %lu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMalloc] failed, size:%lu, ret:0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Call][RtMemcpy] failed, size:%lu, ret:0x%XParam:h is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:h]null is invalidSetStreamSetTaskTagindex:%u >= stream_list.size(): %zu, check invalidtask_info.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] index:%u >= stream_list.size():%zu.hbmtssqehost_svmSetArgIoAddrsInitInit(v_mem_allocation_id_and_offset_.size() * sizeof(uint64_t) <= host_args_len)args_io_addrs_updater.cc[%s:%d]%lu %s:[Args][Updater] op_name:%s, op_type:%s, host_args:%p.(item.id < active_mem_base_addr.size())[%s:%d]%lu %s:[Args][Updater] op_name:%s, op_type:%s, active_addr[%zu]:0x%lx, id:%zu, offset:0x%lx, active_base:0x%lx(logical_addrs.size() == refreshable_flags.size())[%s:%d]%lu %s:[Args][Init] op_name:%s, op_type:%s, logical_addrs size:%zu.Can not match any logic mem item[%s:%d]%lu %s: ErrorNo: %u(%s) %saddr:0x%lx can not match any logic mem item[%s:%d]%lu %s:[Args][Init] op_name:%s, op_type:%s, logical_addr[%zu]:0x%lx, id:%zu, offset:0x%lx, refreshable:%hhu.(logical_addrs.size() == mem_types.size())N2ge14TBEKernelStoreEGetBinHandleKeyIsTbeTaskInitMetaDataThreadKernelNameInitKernelNamestatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]GetAddrAndPrefCntstatic ge::TypeID ge::TypeID::Of() [with T = std::shared_ptr]tbeKernelstatic ge::TypeID ge::TypeID::Of() [with T = std::vector >]InitBinaryMagicRegisterDynamicKernelKernelRegisterFunctionRegisterRegisterStaticHandlethread_tbeKernelRegisterAutoThreadHandletbe_kernel_handle.cc[%s:%d]%lu %s:Binary key of node %s is empty._kernelname[%s:%d]%lu %s:Node[name:%s, type:%s] does not generate task, skip initialization.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] failed, attr is %s, thread index is %u, meta data list size is %zu.[%s:%d]%lu %s:TBE: meta data: %srtMetadataRegister(bin_handle, meta_data.c_str())_thread_kernelname[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] failed, attr is %s, thread index is %u, kernel name list size is %zu.[%s:%d]%lu %s:[%s] attr: %s, kernel: %s.[%s:%d]%lu %s:[%s]'s kernel with name [%s] not registered.rtKernelGetAddrAndPrefCntV2(bin_handle, tiling_key, nullptr, RT_DYNAMIC_SHAPE_KERNEL, &kernel_info)[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param]function info num[%zu] is larger than the size of functionInfo[%zu][%s:%d]%lu %s:Get [%u] addr 0x%lx, pref_cnt %u for kernel_name %s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Get addr and pref cnt failed, kernel_name:%sRT_DEV_BINARY_MAGIC_ELF_AICPURT_DEV_BINARY_MAGIC_ELFRT_DEV_BINARY_MAGIC_ELF_AIVECRT_DEV_BINARY_MAGIC_ELF_AICUBE[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] failed. Attr is %s, thread index is %u, json list size is %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] Attr:%s value:%s in op:%s(%s), model_id:%u, check invalid[%s:%d]%lu %s:[%s]'s kernel with name [%s] already registered.Cannot find op kernel for node [%s] with prefix [%s].((tbe_kernel) != nullptr)[%s:%d]%lu %s:Start to register kernel for node: [%s], kernel key[%s].[%s:%d]%lu %s:TBE: binary.length: %lurtRegisterAllKernel(&binary, &bin_handle)[%s:%d]%lu %s:TBE: can't find the kernel_name[%s] in HandleMap.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit binary magic of %s failed.rtDevBinaryRegister(&binary, &bin_handle)[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit tvm meta data of %s failed.[%s:%d]%lu %s:TBE: find the kernel_name[%s] in HandleMap.[%s:%d]%lu %s: ErrorNo: %u(%s) %sInit kernel name of %s failed.rtFunctionRegister(bin_handle, kernel_unique_ids_addr, bin_file_key, kernel_name.c_str(), 0U)rtKernelGetAddrAndPrefCntV2(bin_handle, tiling_key, kernel_unique_ids_addr, RT_STATIC_SHAPE_KERNEL, &kernel_info)[%s:%d]%lu %s:Node:%s inherit func name:%s directly.[%s:%d]%lu %s: ErrorNo: %u(%s) %sKernel register failed, node:%s, thread index:%u, bin file:%s, prefix:%s.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s] tbe kernel is emptyParam:kernel_bin is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:kernel_bin]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] [%s] number of bin_file != number of file_name, bin_file_num=%zu, file_name_num=%zu[%s:%d]%lu %s:Kernel bin num is %zuTbe kernel for op:%s is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] TBE: tvm bin file of %s is nullptr when ffts.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFunction register of No. %zu bin file %s failed._register_stub_func_thread__mix_aic_kernel_list_first_name_mix_aiv_kernel_list_first_name_mix_enhanced_kernel_list_first_namememset_mix_enhancedInitInputDataInfoInitOutputDataInfoSetOutsideAddrsValueSetLogicalOutsideAddrsSetInputOutsideAddrsSetOutputOutsideAddrszero_copy_offset.cc[%s:%d]%lu %s:[ZCPY] Start to InitInputDataInfo of %s, total data size is %ld, virtual addr is %p[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] basic offset size:%zu should be equal to relative_offset_size:%zubasic offset size:%zu not equal to relative_offset_size:%zu, check invalid[%s:%d]%lu %s:[ZCPY] size of zero_copy_basic_set is %zu[%s:%d]%lu %s:[ZCPY] %s size is %ld, virtual_addr is %p.[%s:%d]%lu %s:[ZCPY] set l2_fusion for %s.zero_copy_relative_offset_.at(index)PtrToValue(virtual_addr)UINT64_MAX - static_cast(zero_copy_relative_offset_.at(index))[%s:%d]%lu %s:[ZCPY] virtual_addr: %p has been l2-fusion to %lu, need copy data_size is %ld.Get input TensorSize in op:%s(%s) failed, input_index:%zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Get][InputTensorSize] in op:%s(%s) failed, input_index:%zu[%s:%d]%lu %s:Tensor size: GetSize=%ld, GetTensorSizeInBytes=%ldbasic_offset_size:%zu not equal to relative_offset_size:%zu, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param] basic_offset_size:%zu should be equal to relative_offset_size:%zu[%s:%d]%lu %s:[ZCPY] [no-l2-fusion] op %s idx %zu size is %ld, virtual_addr is %lu.[%s:%d]%lu %s:[ZCPY] set l2-fusion for %s.virtual_addr_list[idx][%s:%d]%lu %s:[ZCPY] [l2-fusion] virtual_addr: %p, offset: lu, data_size is %ld[%s:%d]%lu %s:[ZCPY] set copy input: virtual_addr: 0x%lx, task_addr: 0x%lx, args: 0x%lx, offset: %zu, is tiling: %d[%s:%d]%lu %s:Skip set logical addr outside device addr for 0x%lx as invalid offset[%s:%d]%lu %s:Set logical addr 0x%lx, is tiling: %d outside device addr 0x%lx[%s:%d]%lu %s:[ZCPY] set l2-fusion for virtual_addr 0x%lx.zero_copy_relative_offset_.at(i)static_cast(addr_val)UINT64_MAX - static_cast(zero_copy_relative_offset_.at(i))[%s:%d]%lu %s:[ZCPY] virtual_addr 0x%lx has been fusion to virtual_addr 0x%lx[%s:%d]%lu %s:[ZCPY] Start to SetOutputOutsideAddrs for virtual addr 0x%lx.[%s:%d]%lu %s:[ZCPY] set l2-fusion for virtual_addr 0x%lxSt15_Sp_counted_ptrIPN2ge16DataFlowInfoImplELN9__gnu_cxx12_Lock_policyE2EECheckParamsForUserDataSetUserDataGetUserDatadata_flow_info_impl.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe data is nullptr.[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe size is 0, should in (0, 64].[%s:%d]%lu %s: ErrorNo: %u(%s) %sThe size + offset need <= %zu, but size = %zu, offset = %zu.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set user data, the params is invalid.Failed to set user data, memcpy_s error, size[%zu], offset[%zu], ret[%d].((cpy_ret) == EOK)[%s:%d]%lu %s:Success to set user data, size[%zu], offset[%zu].[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to get user data, the params is invalid.Failed to get user data, memcpy_s error, size[%zu], offset[%zu], ret[%d].[%s:%d]%lu %s:Success to get user data, size[%zu], offset[%zu].ZN2ge24ContinuousTensorListImpl10InitializeEvEUlvE0_ZN2ge24ContinuousTensorListImpl10InitializeEvEUlPKhE1_St15_Sp_counted_ptrIP14rtMemBuffCfg_tLN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2ge24ContinuousTensorListImplELN9__gnu_cxx12_Lock_policyE2EEoperator()FinalizeInitGroupInitializeParam:buff_cfg is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:buff_cfg]null is invalidInvoke rtMbufInit failed, ret = 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvoke rtMbufInit failed, ret = 0x%XDM_QS_GROUP_Invoke rtMemGrpCreate failed, ret = 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvoke rtMemGrpCreate failed, ret = 0x%XInvoke rtMemGrpAddProc failed, ret = 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvoke rtMemGrpAddProc failed, ret = 0x%XInvoke rtMemGrpAttach failed, ret = 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %sInvoke rtMemGrpAttach failed, ret = 0x%X[%s:%d][EVENT]%lu %s:Init group success.[%s:%d]%lu %s:Init group success.[%s:%d]%lu %s:The impl is already inited.Failed to init group.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to init group.Failed to calc tensor raw size[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to calc tensor raw sizeCall rtBuffAlloc failed, ret = %d.[%s:%d]%lu %s: ErrorNo: %u(%s) %sCall rtBuffAlloc failed, ret = %d.Failed to fill runtime tensor desc.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to fill runtime tensor desc.Failed to set tensor data.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set tensor data.rtBuffFree(buff_)continuous_tensor_list_impl.cc[%s:%d]%lu %s:The impl is already Finalized or not Initialize.N2ge21LocalExecutionRuntimeEN2ge17DeployPlannerBaseEN2ge13ModelDeployerEN2ge18LocalModelDeployerEUndeployModelLoadSubmodelsUndeployFinalizeDeployModel*ZN2ge18LocalModelDeployer11DeployModelERKSt10shared_ptrINS_9FlowModelEERKSt6vectorIjSaIjEESA_RNS_12DeployResultEEUlvE_1_0_01_0_0(-1)local_model_deployer.ccParam:submodel_queues is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:submodel_queues]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to execute LoadModelWithQ, submodel name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sModel not found, id = %u[%s:%d]%lu %s:Model undeployed successfully, model id = %u[%s:%d]%lu %s:Finalizing LocalModelDeployer.[%s:%d]%lu %s:Unload model: %u[%s:%d]%lu %s:LocalModelDeployer finalized successfully.Param:flow_model is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:flow_model]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sOnly support one model, but got %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to build DeployPlan.UINT32_MAX - 1Udeploy_result.model_id[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to deploy model exchange[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to deploy model.N2ge21LocalExchangeDeployerEDoBindQueueGetSubmodelQueuesGetQueueInfoValidateQueueIndicesInitializeBindQueuesUndeployModelExchangeCreateQueuesConvertQueueIndexToIdDeployInternalDeployModelExchangelocal_exchange_deployer.cc[%s:%d]%lu %s: ErrorNo: %u(%s) %sBinding queues are not yet supported.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to find submodel queue by name: %s[%s:%d]%lu %s: ErrorNo: %u(%s) %sQueue index (%d) out of range [0, %zu)[%s:%d]%lu %s: ErrorNo: %u(%s) %squeue index out of range, index = %d, num_queues = %dParam:deploy_plan_ is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:deploy_plan_]null is invalidUINT32_MAXdeploy_plan_->GetQueueInfoList().size()[%s:%d]%lu %s:No queues for binding.Param:src_queue_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:src_queue_info]null is invalidParam:dst_queue_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:dst_queue_info]null is invalid[%s:%d]%lu %s:Bind queues successfully, queue name = %s, src queue_id = %u, dst queue id = %u[%s:%d]%lu %s:All queues bound successfully.Param:exchange_service is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:exchange_service]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create queue, device = %d, name = %s[%s:%d]%lu %s:Queue created successfully, device id = %d, name = %s, index = %d, queue id = %uParam:queue_info is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:queue_info]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to create queues.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to bind queues.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to set queue id for submodels.[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to validate params.[%s:%d]%lu %s:Failed to deploy model exchange, start rollback[%s:%d]%lu %s:Deploy model exchange successfully.N2ge15ExchangeServiceEN2ge20LocalExchangeServiceEDestroyQueueEnqueuePeekEnqueueDequeueBufDequeueEnqueueDequeueTensorEnsureInitializedCreateQueuelocal_exchange_service.cc[%s:%d]%lu %s:[DestroyQueue] start, device id = %d, queue_id = %uCall rtMemQueueDestroy fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[DestroyQueue] failed, rt_err = %d, device id = %d, queue id = %u[%s:%d]%lu %s:[DestroyQueue] ended successfully, device id = %d, queue_id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Enqueue] failed to fill buffer, device id = %d, queue_id = %u, size = %zu[%s:%d]%lu %s:[Peek] start, device id = %d, queue id = %uCall rtMemQueuePeek fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Peek] failed, rt_err = %d, device id = %d, queue id = %u[%s:%d]%lu %s:[Peek] ended successfully, device id = %d, queue id = %u, size = %zu[%s:%d]%lu %s:[Enqueue] start, device id = %d, queue_id = %u, size = %zuCall rtMemQueueEnQueueBuff fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Enqueue] [EnqueueBuffer] failed, device id = %d, queue_id = %u, size = %zu[%s:%d]%lu %s:[Enqueue] ended successfully, device id = %d, queue_id = %u, size = %zu[%s:%d]%lu %s:[Dequeue] start, device id = %d, queue id = %u, size = %zuCall rtMemQueueDeQueueBuff fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dequeue] [DequeueBuffer] Failed, ret = %d, device id = %d, queue id = %u, size = %zu[%s:%d]%lu %s:[Dequeue] ended successfully, device id = %d, queue id = %u, size = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dequeue] [Peek] Failed[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Dequeue] [ValidateSize] Failed to validate size, expected size = %zu, but got %zu, queue id = %urtMemQueueEnQueueBuff faild, ret is %d, device id = %d, queue_id = %u.[%s:%d]%lu %s: ErrorNo: %u(%s) %srtMemQueueEnQueueBuff faild, ret is %d, device id = %d, queue_id = %u.[%s:%d]%lu %s:[Enqueue] ended successfully, device id = %d, queue_id = %u[%s:%d]%lu %s:[DequeueTensor] start, device id = %d, queue id = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %sdequeue size[%zu] is less than [%zu][%s:%d]%lu %s:MakeShared start size=%zu[%s:%d]%lu %s:MakeShared end size=%zuParam:buff_aligned_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:buff_aligned_ptr]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to DequeueTensorParam:output_aligned_ptr is nullptr, check invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %s[Check][Param:output_aligned_ptr]null is invalid[%s:%d]%lu %s: ErrorNo: %u(%s) %sFailed to copy output tensor data copy size = %ld[%s:%d]%lu %s:[Dequeue] ended successfully, device id = %d, queue id = %u, size = %ld[%s:%d]%lu %s:[InitQueue] start, device id = %dCall rtMemQueueInit fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[InitQueue] failed, rt_err = %d, device id = %d[%s:%d]%lu %s:[InitQueue] ended successfully, device id = %d[%s:%d]%lu %s:[CreateQueue] start, device id = %d, queue name = %s, depth = %u, work_mode = %u[%s:%d]%lu %s: ErrorNo: %u(%s) %s[CreateQueue] [CheckParam] Length of queue name out of range, name = %s, length = %zu[%s:%d]%lu %s: ErrorNo: %u(%s) %s[CreateQueue] [Init] failed, queue name = %s[%s:%d]%lu %s: ErrorNo: %u(%s) %s[CreateQueue] [CopyName] FailedCall rtMemQueueCreate fail, ret: 0x%X[%s:%d]%lu %s: ErrorNo: %u(%s) %s[CreateQueue] failed, rt_err = %d, device id = %d, queue name = %s, depth = %u[%s:%d]%lu %s:[CreateQueue] ended successfully, device id = %d, queue name = %s, depth = %u, queue_id = %u;@pD@$}d%L~l%L[x[@4 <`T\t|H@@kDkd$,DLTlt0,,%v&v`)$,,77(Cl xCt O|5O5k nHlnmhm*$D,LpM$PNPNR|T |HVv?Tw@w$BDx$ExEy\GzHzIL|DK|DN|}$PX RЀTRTULdUlUUȄ<]4<^_ĊDhdtl{ċč@DltܚT<xL԰@d~Ax~|4CEG,|M|,XP__`D``a`bDc84gdh $i@jLldLo, p`qDrPsstt uL,vd{ D|H$t,$,l,ĦP̬T0Ldd\<tPD `TD`< TDDDtl$|4d| l`H"&t'''''(d)<+ t,l|,,,---04.\0,0d0012d3@45688T:x;X?@LAALA|IJLXO|VVV$V8V`4W(W\lY\YpYY$ZZZD]ftjP$kn|pq,t`|H|}$LLt,\$d ,̉LԠԤĬ4<|$IJ8Dlp4$|T DLT\ ,\@d<Dl0$ 0   D8 p     \ L  $ h( L dD|Xdd#%)$+04D ; FJdlOOhlUWtateĻ(?@AlA BBC7 88 8 8488H8L8`8T88\88d89l898h98|9999:9:L:<;<<<4B>LD?DT@F@PG|NhP\Vl\X\a de n 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