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HH9uf.@f.DHtHfH7)HH9uf.HtH1Dfo)HH9uf.f.Df.DHt1f  HH9uf.Df.Df.DHt1f  HH9uf.Df.Df.DHtH1D  HH9uf.Df.DHtH1fD f HH9uf.@f.Df.DHt1f  HH9uf.Df.Df.DHt1f  HH9uf.Df.DHt(HH7HGHGH HGGH9ufHtH1:@HtH1:@HHt}HFHvHHfHHHHHHH0@@H9uHH@t?H@fHHH<HGH9tHDH@f.1f.HHt}HFHvHHfHHHHHHH0@@H9uHH@t?H@fHHH<HGH9tHDH@f.1f.HHt}HFHvHHfHHHHHHH0@@H9uHH@t?H@fHHH<HGH9tHDH@f.1f.f.Df.Df.Df.Df.Df.DHt H;HCIM)H)I9w^LSMI)M9vMtLL?7LSH;IVM>MI)K4H9LH)7H;LpMHI9LHT$0HT$HL9tHLL|/HH;HtHsHL$H)0HL$J<)H H{LH[]A\A]A^A_Ð1@My.*HoAWAVIAUATIU1SHH=@L9'LL6H;LfDH{HIHI9L9tIVM>H;HCIM)H)I9w^LSMI)M9vMtLL5LSH;IVM>MI)K4H9LH)5H;LpMHI9LHT$W/HT$HL9tHLL-HH;HtHsHL$H)`/HL$J<)H H{LH[]A\A]A^A_Ð1@My6-Q)HoAWAVIAUATIU1SHH=@L9'LL4H;LfDH{HIHI9L9tIVM>H;HCIM)H)I9w^LSMI)M9vMtLL4LSH;IVM>MI)K4H9LH)3H;LpMHI9LHT$-HT$HL9tHLL\,HH;HtHsHL$H)-HL$J<)H H{LH[]A\A]A^A_Ð1@My+'AWAVAUATIUHSHH:cL=dL$Lt$0HLLt$fHnIGfHnHbfofoflH)L$ fHnfl)T$&Haf1$H$H$1f$HbHDŽ$xHXH@H{H\$0H$LH/HpbfoT$Lt$pfL)D$@H@)T$0H$)D$P)D$`5IGLL$HD$8HD$8HD$xL$HDŽ$Ƅ$HD$.HUHuH|$,HD$`Il$ID$I,$AD$HLD$PML9HL$X11LI)t0Hafol$ H$H@)l$0H$L9tH$Hpx+HaLHHD$8.HCH $LH\$0HL0HD`HH$#%HĸL[]A\A]A^A_fDIHH$L&GHHI<$H9tIt$H*HH|$]#H%2HHH|$HCH$H\$0HT0H_LHH$t$H1f.fAU1ATUSHhIHl$@H\$HD$@HLH$Ld$ 1HT$@foMuLHstd::mutH$H5 uHT$exfPH$HH@>HD$@HD$LlHtLH`nH*HDHHH|$@HD$PH9tHD$PHp)H|$ HD$0H9tHD$0Hp)H<$H9tHD$Hph)H0AU1ATUSHhIHl$@H\$HD$@#HLH$Ld$ 0HT$@fo=tLH$H5tHT$> fo*tfP H$@">@HD$@HD$LkHsLHRmH)HDHHH|$@HD$PH9tHD$PHp(H|$ HD$0H9tHD$0Hpq(H<$H9tHD$HpZ(H/fHPHt/UHSHPHHCHHuH]fH3xHN3c1013DebugInfoBaseEN3c1023MemoryReportingInfoBaseEbasic_string::_M_construct null not valid/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/CPUAllocator.cppThere is not caching allocator registered for CPU, use the default allocator instead.Memory block of unknown size was allocated before the profiling started, profiler results will not include the deallocation event(bool, default false) If set, print out detailed memory usagecaffe2_report_cpu_memory_usageC10 deleted bytes, total alloc bytes.C10 alloc Key already registered with the same priority: Higher priority item already registered, skipping registration of %s FSt10unique_ptrIN3c1013C10FlagParserESt14default_deleteIS1_EERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEN3c109AllocatorEN3c1019DefaultCPUAllocatorEN3c1025DefaultMobileCPUAllocatorILj64ELj16EEEPFSt10unique_ptrIN3c1013C10FlagParserESt14default_deleteIS1_EERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/CopyBytes.cppCheck failed: g_copy_bytes[0][from][to] == nullptr && g_copy_bytes[1][from][to] == nullptr Duplicate registration for device type pair No function found for copying from , to ptrDevice string must not be empty/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/Device.cppbasic_string::at: __n (which is %zu) >= this->size() (which is %zu)Expected one of cpu, cuda, xpu, mkldnn, opengl, opencl, ideep, hip, ve, ort, mlc, xla, lazy, vulkan, meta, hpu device type at start of device string: Could not parse device index 'DeviceInvalid device string: 'stoihpuparse_type' in device string 'cpucudaxpumkldnnopenglopenclideephipfpgaortxlalazyvulkanmlc00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899MKLDNNOPENGLOPENCLIDEEPORTVULKANmetalMETALUnknown device: DeviceTypeName. If you have recently updated the caffe2.proto file to add a new device type, did you forget to update the DeviceTypeName() function to reflect such recent changes?/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/DeviceType.cppt̝4lԞ4TDUndefinedFPGAVulkanMetalQuantizedCPUQuantizedCUDAQuantizedXPUCustomRNGKeyIdMkldnnCPUSparseCPUSparseCUDASparseCsrCPUSparseCsrCUDASparseHIPSparseVESparseXPUPythonNegativeConjugateMetaADInplaceOrViewAutogradCPUAutogradXPUAutogradCUDAAutogradXLAAutogradLazyAutogradMLCAutogradHPUAutogradNestedTensorAutogradPrivateUse1AutogradPrivateUse2AutogradPrivateUse3AutogradOtherZeroTensorBackendSelectNamedFunctionalizeTracerAutocastAutocastCPUCompositeImplicitAutogradCompositeExplicitAutogradTESTING_ONLY_GenericWrapperTESTING_ONLY_GenericModeFuncTorchDynamicLayerBackModeFuncTorchGradWrapperFuncTorchVmapModeFuncTorchBatchedUNKNOWN_TENSOR_TYPE_IDparseDispatchKeyFuncTorchDynamicLayerFrontModecould not parse dispatch key: /opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/DispatchKey.cppp`P@0 Уp`P@0 Тp`P@0 Сp`P@0 ФР()'''*-'',.'+'''''''''''''/012FuncTorchDynamicAutogradNestedTeAutogradPrivateUFuncTorchBatchedFuncTorchVmapModFuncTorchGradWraTESTING_ONLY_GenCompositeImpliciCompositeExplicit != DispatchKey::UndefinedINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/DispatchKeySet.cpp":39, please report a bug to PyTorch. /opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/DispatchKeySet.cppt != DispatchKey::UndefinedINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/DispatchKeySet.cpp":53, please report a bug to PyTorch. getRuntimeDispatchKeySetruntimeDispatchKeySetHasDispatchKeySet()DispatchKeySet((8Unable to open /dev/urandomreadURandomLong/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/GeneratorImpl.cppUnable to read from /dev/urandomN3c1020intrusive_ptr_targetEN3c1013GeneratorImplEtorch boolean negative, the `-` operator, is not supported./opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/Scalar.cppoperator-stream on device PyTorch is not linked with support for /opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/impl/DeviceGuardImplInterface.h devicesgetDeviceGuardImplattempted to detach (shallow_copy_and_detach) Tensor with nontrivial PyObject after corresponding interpreter died0INTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cpp":36, please report a bug to PyTorch. /opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cppattempted to dispatch (__torch_dispatch__) an operator on Tensor with nontrivial PyObject after corresponding interpreter died0INTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cpp":46, please report a bug to PyTorch. TensorImpl::is_contiguous_custom should never be called; did you set_has_contiguity_policy and forget to override is_contiguous_custom?falseINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cpp":434, please report a bug to PyTorch. pyobj_interpreter_ != nullptrINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cpp":375, please report a bug to PyTorch. pyobj_ != nullptrINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cpp":376, please report a bug to PyTorch. cannot call storage_initialized on tensor that does not have storage/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.hCould not allocate memory for Tensor SizesAndStrides!/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/impl/SizesAndStrides.hSupport for autograd has not been loaded; have you linked against libtorch.so?Setting requires_grad=True on inference tensor outside InferenceMode is not allowed./opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/WrapDimMinimal.hDimension out of range (expected to be in range of [is_contiguous_nondefault_policy_impldata_type == ScalarType::Undefined || device_opt_.has_value()INTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/TensorImpl.cpp":183, please report a bug to PyTorch. (bool, default true) If set, keeps memory when a tensor is shrinking its size.(int64_t, default 0x7fffffffffffffffLL) The maximum memory in bytes to keep on shrink, if the difference between tensor sizes is bigger than this then tensor will be reset.caffe2_max_keep_on_shrink_memorynoop_detach_fnnoop_dispatch_fnis_contiguous_customrelease_resourcesstorage_initializedallocateOutOfLineStorageresizeOutOfLineStorageGetAutogradMetaFactoryset_requires_gradCannot access storage of throw_storage_access_error but tensor has no dimensionsdimension specified as maybe_wrap_dim], but got do not have is_contiguousTensors of type caffe2_keep_on_shrinkset_storage_offset set_storage_offsetis not allowed on a Tensor created from .data or .detach(). If your intent is to change the metadata of a Tensor (such as sizes / strides / storage / storage_offset) without autograd tracking the change, remove the .data / .detach() call and wrap the change in a `with torch.no_grad():` block. For example, change: x.data.set_(y) to: with torch.no_grad(): x.set_(y)set_stride set_strideset_size set_sizeCannot set version_counter for inference tensorset_version_counterN3c105ErrorEN3c1010IndexErrorEN3c1019NotImplementedErrorEN3c1011StorageImplEN3c1021AutogradMetaInterfaceEN3c1015VariableVersion14VersionCounterEN3c1010TensorImplE= 0data ( bytes. Error code No threads to run a taskcannot create std::deque larger than max_size()/opt/logicmoo_workspace/packs_xtra/pytorch/c10/core/thread_pool.cppException in thread pool task: Exception in thread pool task: unknownN3c1018TaskThreadPoolBaseEN3c1010ThreadPoolE*NSt6thread11_State_implINS_8_InvokerISt5tupleIJZN3c1010ThreadPoolC4EiiSt8functionIFvvEEEUlvE_EEEEEE?N3c1019CPUCachingAllocatorE?:;/5<'06!*=3%(17" +>9.4& )2$ 8-# ,0C?Cvector::_M_realloc_insertvalidate_freerecord_freeAllocation plan is nullptr.set_planWithProfilingAllocatorGuardWithProfileAllocationsGuard, expected:, got:validate_allocation_planvalidate_allocationAllocation id:, but got:allocateAllocation must have been recorded during validate_allocation./opt/logicmoo_workspace/packs_xtra/pytorch/c10/mobile/CPUProfilingAllocator.cppAllocation must have been recorded during record_allocation.Nesting profiling allocators is not supported.Nesting profiling allocations is not supported.WithValidateAllocationPlanGuardFreeing allocation that is not accordingly to the plan.Lifetime of allocations do not match: allocation_id cannot create std::vector larger than max_size()ProfilingAllocator: Allocation plan invalid.formulate_greedy_allocation_planEnf offset of allocation being freed must match the one recorded.ProfilingAllocator: Invalid event type.ProfilingAllocator: Allocate event must have preceded deallocate event.Allocation request does not match plan:, Number of recorded allocations:, Recorded size of the requested allocation:Got allocation request that does not match with the plan.vector::_M_default_append%s: __pos (which is %zu) > this->size() (which is %zu)basic_string::substrpython3libpythonframe # + in ) FvPvEPFvPvE!hooks || !python_gil_hooksINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/DeadlockDetection.cpp":18, please report a bug to PyTorch. /opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/DeadlockDetection.cppSetPythonGILHooksWarning: (function basic_string::append [enforce fail at ] . N3c1014WarningHandlerE?Expected logger to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/Logging.cppInitCaffeLogging() has to be called after c10::ParseCommandLineFlags. Modify your program to make sure of this.The log level of Caffe2 has to be no larger than GLOG_FATAL((bool, default false) If set true, when CAFFE_ENFORCE is not met, abort instead of throwing an exception.(int, default 0) Equivalent to glog minloglevel(int, default 0) Equivalent to glog verbose(bool, default false) Equivalent to glog logtostderr(int, default c10::GLOG_WARNING) The minimum log level that caffe2 will output.PYTORCH_API_USAGE SetAPIUsageLoggerPYTORCH_API_USAGE_STDERRSetPyTorchDDPUsageLogger). Capping it to GLOG_FATAL.[Exception raised from (most recent call first): caffe2_use_fatal_for_enforceminloglevelvlogtostderrcaffe2_log_levelFvRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEN3c1018EnforceFiniteErrorE*ZN3c1012_GLOBAL__N_118GetFetchStackTraceEvEUlvE_*ZN3c1012_GLOBAL__N_117GetDDPUsageLoggerEvEUlRKNS_14DDPLoggingDataEE_FEWIVPFvRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEESmallVector capacity unable to grow. Already at maximum size SmallVector unable to grow. Requested capacity () is larger than maximum value for size type (00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899ReplaceAllbasic_string::replace/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/StringUtil.cppExpected debug info of type _pop_peek/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/ThreadLocalDebugInfo.cppSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN3c1020ThreadLocalDebugInfoESaIS1_ELN9__gnu_cxx12_Lock_policyE2EEvalue cannot be converted to type without overflowC10 flag error: Cannot convert argument to bool: Note that if you are passing in a bool flag, you need to explicitly specify it, like --arg=True or --arg True. Otherwise, the next argument may be inadvertently used as the argument, causing the above error.Parsing commandline arguments for c10.C10 flag: commandline argument does not match --name=var or --name format: C10 flag: reached the last commandline argument, but I am expecting a value for C10 flag: unrecognized commandline argument: falseFalseFALSEtrueTrueTRUE--helpArguments: . Ignoring this argument.C10 flag: illegal argument: (Usage message not set.)/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/int128.cppDivision or mod by zero: dividend.hi=, lo=ptrINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/numa.cpp":76, please report a bug to PyTorch. /opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/numa.cppnuma_node_id >= 0 && static_cast(numa_node_id) < sizeof(unsigned long) * 8INTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/numa.cpp":82, please report a bug to PyTorch. Could not move memory to a NUMA nodeptrINTERNAL ASSERT FAILED at "/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/numa.cpp":46, please report a bug to PyTorch. Unable to get memory policy, errno:(bool, default false) Use NUMA whenever possible.NUMAMoveNUMA node id is unavailableNUMABindGetNUMANodecaffe2_cpu_numa_enabled/opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/signal_handler.cppCannot uninstall SIGHUP handler.Cannot uninstall SIGINT handler.Cannot install SIGHUP handler.Cannot install SIGINT handler.Failed to add SIGUSR2 handler!{}({}), PID: {}, Thread {}: {}Failed to open /proc/self/task handler!/proc/self/taskSIGABRTSIGINTSIGILLSIGFPESIGBUSSIGSEGVcannot switch from manual to automatic argument indexingcannot switch from automatic to manual argument indexingnegative widthwidth is not integernumber is too biginvalid format stringargument not foundTX8(p(8كЃstring pointer is nulll|\<t8нd~2negative precisionprecision is not integer invalid fill character '{'invalid fillmissing precision specifierformat specifier requires numeric argumentformat specifier requires signed argumentprecision not allowed for this argument typeinfnanNANINFinvalid type specifierDUc 0123456789ABCDEF\tl t``P!#########d"###########|!#########!t"$###########"########|!6999999999799999999999599999999968779999999999x7999999995missing '}' in format stringinvalid format specifier for char:=L==?:::@AAAAAAAAA@AAAAAAAAAAA?AAAAAAAAA@~@-AAAAAAAAAAA@AAAAAAAA?unknown format specifier"BGGpGGGPGFFhFPF0FFEEEAI IHHHHHHkHVH=H)HHGGunmatched '}' in format stringXKOOOOOOlO6OOONNNN]NN3c1018FatalSignalHandlerEN3fmt2v712format_errorEN3fmt2v76detail6bufferIcEEN3fmt2v719basic_memory_bufferIcLm500ESaIcEEEN3fmt2v712system_errorEN3fmt2v76detail6bufferIjEEN3fmt2v719basic_memory_bufferIjLm32ESaIjEEEFailed to remove /opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/typeid.cppUnsupported TypeMeta in ATen: Maximum number of CAFFE_KNOWN_TYPE declarations has been exceeded. /opt/logicmoo_workspace/packs_xtra/pytorch/c10/util/typeid.hconstexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = char*; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = float*; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Half*; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::__cxx11::basic_string; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = short unsigned int; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::unique_ptr >; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = char; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::unique_ptr; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::vector; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = caffe2::detail::_guard_long_unique_dummy >; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = int*; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = caffe2::detail::_guard_long_unique_dummy; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::vector; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::vector; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = bool*; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = unsigned char; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = signed char; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = short int; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = int; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = long int; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Half; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = float; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = double; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::complex; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::complex; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::complex; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = bool; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::qint8; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::quint8; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::qint32; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::BFloat16; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::quint4x2; c10::string_view = c10::basic_string_view]constexpr c10::string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::quint2x4; c10::string_view = c10::basic_string_view]_ThrowRuntimeTypeLogicError (please report this error)error_unsupported_typemetaPlease report this issue.addTypeMetaDatanullptr (uninitialized)Type does not allow assignment.std::unique_ptr$PBp%`B%@E&E%I&M&PN&pN'e`&Pf&f,'k'k'Pl (m$(m8( nL(Pnd(pnx(Po(rT)sh)0s)@s)t@)t*t*t8*uP*uh*u|*pv*vP+`wx+w*x*@y+}, }$,0}8,@}|,p},},}-~ -0~4-P~x-~-~T.`t..0pH0d0 01Њ101111А2H22@3P3p83L3`3Жt33P4L4 `4@|4P4`4p4404`5(50l57,8`8Р9P:0:`:D;;++ +0+@+PL,h,,,,H-/@/p/// 003p55@D667(7`|78(9<9l9p9: `;`H<`<p<==(=0l=p<=P=== =>><>@P>l>@>>@ ?p 8E0A(B BBBK h`DWBBI E(D0D8F3 8A0A(B BBBC ~ 8D0A(B BBBE DHBFE D(A0Gp 0A(A BBBB @ 07%BIA A(D (F CBBE X yZP| BBB I(D0E8T+ 8A0A(B BBBG \L4 zEB B(A0E8G$, L   A| L  H  D  L ( BGE B(A0A8GpR 8D0A(B BBBH v7~p$0 P~BG0y EA X a$~0 DHw 4RHEP x^Y~BBB B(D0A8Jr 8D0A(B BBBJ P 2~BBB B(D0A8G 8D0A(B BBBE PT p ~BGB B(A0A8GR 8A0A(B BBBF 6~$ P  }BBE B(D0A8G 8D0A(B BBBE 4 }wMD`X 9%}`$t U}BL0y EA  $}04H?BDA  EBH AABL"H0`,'aBFD g DBG ZDBh'4T?BDA  EBH AABP?|BFB B(G0D8D 8A0A(B BBBH 8&<|AC I I .}. š| C#CcDAG0b AE  AD ,: c@:SAH H A`:b8tt:(cUBB B(D0A8GP 8A0A(B BBBI x8A0A(B BBBFHPP:JW\BBB B(A0E8M 8A0A(B BBBI :[j\d;dx;$d=^;x;x <\;(d'\BGA D(J (A ABBG ;[,;>[AC DFF. 0;?[AC DFJ. j.8x<DdBBB D(D0d (D BFBH L\<dk[BBB B(D0D8D 8A0A(B BBBF < .[(=f<=fAW4X=fAAD \ AAD i HAF =lf=hf$=df!ADF OAA=lf<=hfFZBBG A(Gp= (D ABBG =<%ZpP=g ZBBE E(A0A8G 8D0A(B BBBK P>HjY0>jBIA G@  AABG L>l&YBHB B(A0D8H@ 8A0A(B BBBD > LY@P?Xm)1YBBB B(D0D8J 8A0A(B BBBE p?D(YP?Pt YBBE B(D0A8G 8D0A(B BBBG (?rKXBBE D(G`@%X`P4@@w^XBBB B(D0A8Jr 8D0A(B BBBJ (@lrGXBBH D(G`@!%gX`H,Az^LBB B(A0A8D`j 8A0A(B BBBD xA$rzAN I ]A'AZA{rEK H A'AZAA!sWMN$B{A!GWMNA!/WMNpB{B B{B{B{B\,B{EVBEI h BBA BFV ,B{EoVBEI h BBA C KV ,$C{E3VBEI h BBA TCЀV ,tC{EUBEI h BBA CU ,C{EUBEI h BBA CZU (lD{BHD O DBA D88D|BFA A(D@E (A ABBA (Dd|BMG P AEL ,EIDE  DBG ,DEIDE  DGJ 4E|)wTBAA G@  AABE TEHT@,tE0TAC DEEIQ.0E0}BTBBE G(D0GP E$SP4E(}SBAA D@  AABB 4FUS@4TF`~WSBAA D@  AABB FcS@,FhKSBBH i BBG (F~/S L BBE ,GSBBH i BBG (8G~R L BBE ,dG`RBBH i GBB Gg~R L HBBA A(D0P (D ABBE  (D ABBA \H@pH<<,H837RBBA A(G`" (A ABBK lH}"R`PHQBFI B(A0A8M 8A0A(B BBBK HX}Q0IpQAC DEED_.U. 8I}SQ 0\I(BQBBE G(D0GP I$YQPPI =QBBB B(A0A8Q 8A0A(B BBBI JxQP,J}RBPL F(H0D8Dp 8A0A(B BBBA JRJ4KBDG " ABF | ABI LK@`K<tK8K4K0 K,K(K$K LL (L,DDDITe3=BAA G0?  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