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"2 "2 "2 "2 @ @ @ @ J >LB5>LB5 >LB5>LB5  >M:5>M:5>M:5@ @ "7K!"7K!"7K!"7K!"7K!"7K!EY!EY!EY!EY!EY!3G!EY!3G!3G!AU!AU!3G!O6|g g g g g g g g g g g g g g g g g  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  )X  2 1 2 2 1 2 1 2 1 2 1 2 1 2 1 2 1 1 2 12F2F2F2F2F2F2F2F2F2F2F2F2F2F2F2F2F2F2F2F?K:>2F 2 1 2 12F2F2F p ! ,Y ] %Q $wk      ] *q $S:  !6  -#  } 16;F}%      17| %Q *  `%T I+1C l i C ;   2     O   m  &$}"8%!15z  *P ':':] ? =     -  /8< X5CP-@)3-JHc)aUAG%@2MR)v5/Y^ )SSBL.G.Dj .G      .F>% @. B.  >YKD R  b V;_    U@ ""@ ""@ $  5)!X5)!]5) mGS   )  9      B   M D  1  A   14{&rJ C =k  m    $ C M.    % c # Hl$%\   )'))C%K*eP2Wg)@%K*ePS){B?    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U   / t  [ 2 bT    G ?':5)!X5)!]5) mGS   )  9      B   !%`!+  >9EpPx#155a<< < <<<3<4< [8V  uG #'%?+/%?+/6 9  25 : o2    Zu         OOmQ  OI"_V '=p'=o%?'&M5a<< < <<<3<4< [8V ) uG #'%?+/%?+/8 9  {28 :  o2    Zu         OOmQ  OI"_V '=p'=oU5 ] */ );gJqbl);gJqbl*P)3-J 8* 8* 8* 8* 8* 8* 8* 8* 8* 8* 8* 8* 8* 8* 8*</8W!</8W!N3c1013DebugInfoBaseEN3c109AllocatorEN3c1023MemoryReportingInfoBaseE/pytorch/c10/core/CPUAllocator.cppC10 Out of Memory. Trying to allocate There 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_usagebasic_string: construction from null is not validKey already registered with the same priority: Higher priority item already registered, skipping registration of /pytorch/c10/core/SymNodeImpl.his_channels_last_contiguous_3dis_channels_last_contiguous_2d/pytorch/c10/core/ConstantSymNodeImpl.hstd::get: variant is valuelessstd::get: wrong index for variantother->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":19, please report a bug to PyTorch. /pytorch/c10/core/ConstantSymNodeImpl.cppother->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":20, please report a bug to PyTorch. other->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":21, please report a bug to PyTorch. other->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":22, please report a bug to PyTorch. other->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":23, please report a bug to PyTorch. other->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":24, please report a bug to PyTorch. other->is_nested_int() INTERNAL ASSERT FAILED at "/pytorch/c10/core/ConstantSymNodeImpl.cpp":25, please report a bug to PyTorch. /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 Device string must not be emptybasic_string::at: __n (which is %zu) >= this->size() (which is %zu)'mkldnn' is no longer used as device type. So torch.device('mkldnn') will be deprecated and removed in the future. Please use other valid device types instead. device type at start of device string: Could not parse device index '. 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?/pytorch/c10/core/DeviceType.cpptorch.register_privateuse1_backend() has already been set! Current backend: Cannot register privateuse1 backend with in-tree device name: FuncTorchDynamicLayerFrontModeCompositeImplicitAutogradNestedTensorCompositeExplicitAutogradNonFunctionalcould not parse dispatch key: /pytorch/c10/core/DispatchKey.cppInvalid '\xNN' control character in regular expressionInvalid '\uNNNN' control character in regular expressioninvalid '\cX' control character in regular expressionInvalid escape at end of regular expressionInvalid '(?...)' zero-width assertion in regular expressionIncomplete '[[' character class in regular expressionNumber 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.cannot create std::vector larger than max_size()cannot create std::deque larger than max_size()Invalid start of '[x-x]' range in regular expressionInvalid range in bracket expression.Invalid end of '[x-x]' range in regular expressionInvalid location of '-' within '[...]' in POSIX regular expressionUnexpected character within '[...]' in regular expressiont != DispatchKey::Undefined INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.cpp":65, please report a bug to PyTorch. /pytorch/c10/core/DispatchKeySet.cppt != DispatchKey::Undefined INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.cpp":88, please report a bug to PyTorch. next_functionality_ <= iterator::end_iter_mask_val INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.cpp":181, please report a bug to PyTorch. next_backend_ <= num_backends INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.cpp":182, please report a bug to PyTorch. next_backend_ == 0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.cpp":254, please report a bug to PyTorch. offsets_and_masks[num_functionality_keys - 1].offset == (num_runtime_entries - 1) INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.cpp":289, please report a bug to PyTorch. initializeFunctionalityOffsetsAndMasksnext_functionality_ >= num_backends INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.h":556, please report a bug to PyTorch. /pytorch/c10/core/DispatchKeySet.hTried to map functionality key to a runtime key, but ended up with . This can happen if the order of the backend dispatch keys in DispatchKey.h isn't consistent. Please double check that enum for inconsistencies.toBackendComponent(next_key) == static_cast(current_backendcomponent_idx_) INTERNAL ASSERT FAILED at "/pytorch/c10/core/DispatchKeySet.h":594, please report a bug to PyTorch. /pytorch/c10/core/GeneratorImpl.cppUnable to read from /dev/urandomgraphsafe_set_state is not supported in this Generatorgraphsafe_get_state is not supported in this GeneratorExpected !size_bytes_is_heap_allocated_ to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)/pytorch/c10/core/StorageImpl.hFor resizable storage, allocator must be providedallocator_ INTERNAL ASSERT FAILED at "/pytorch/c10/core/StorageImpl.h":69, please report a bug to PyTorch. interpreter == pyinterpreter_ INTERNAL ASSERT FAILED at "/pytorch/c10/core/SafePyObject.cpp":6, please report a bug to PyTorch. /pytorch/c10/core/SafePyObject.cppinterpreter == pyinterpreter_ INTERNAL ASSERT FAILED at "/pytorch/c10/core/SafePyObject.cpp":11, please report a bug to PyTorch. torch boolean negative, the `-` operator, is not supported.false INTERNAL ASSERT FAILED at "/pytorch/c10/core/Scalar.cpp":19, please report a bug to PyTorch. false INTERNAL ASSERT FAILED at "/pytorch/c10/core/Scalar.cpp":42, please report a bug to PyTorch. promoteTypes with quantized numbers is not handled yet; figure out what the correct rules should be, offending types: /pytorch/c10/core/ScalarType.cppPromotion for Float8 Types is not supported, attempted to promote Promotion for uint16, uint32, uint64 types is not supported, attempted to promote ix_a != -1 INTERNAL ASSERT FAILED at "/pytorch/c10/core/ScalarType.cpp":103, please report a bug to PyTorch. ix_b != -1 INTERNAL ASSERT FAILED at "/pytorch/c10/core/ScalarType.cpp":105, please report a bug to PyTorch. Cannot access data pointer of Tensor (e.g. FakeTensor, FunctionalTensor). If you're using torch.compile/export/fx, it is likely that we are erroneously tracing into a custom kernel. To fix this, please wrap the custom kernel into an opaque custom op. Please see the following for details: https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html/pytorch/c10/core/StorageImpl.cppAccessing the data pointer of FakeTensor is deprecated and will error in PyTorch 2.5. This is almost definitely a bug in your code and will cause undefined behavior with subsystems like torch.compile. Please wrap calls to tensor.data_ptr() in an opaque custom op; If all else fails, you can guard accesses to tensor.data_ptr() on isinstance(tensor, FakeTensor).Cannot access data pointer of Storage that is invalid.It is only allowed to register the storageImpl create method If you have related storageImpl requirements, The StorageImplCreate function pointer for PyTorch is not linked with support for /pytorch/c10/core/impl/DeviceGuardImplInterface.hExpected is_heap_allocated() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected ptr_->is_bool() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected is_symbolic() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)/pytorch/c10/core/SymFloat.cppExpected ptr_->is_float() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)SymInt::toSymNode is_heap_allocatedSymInt::SymInt sin_sp->is_int()/pytorch/c10/core/Contiguity.h/pytorch/c10/core/SymbolicShapeMeta.cpplayout_impl is only implemented for TensorImpl subclasses./pytorch/c10/core/TensorImpl.his_python_dispatch() INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.h":958, please report a bug to PyTorch. extra_meta_ && extra_meta_->symbolic_shape_meta_ INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.h":1733, please report a bug to PyTorch. Support for autograd has not been loaded; have you linked against libtorch.so?/pytorch/c10/core/TensorImpl.cppSetting requires_grad=True on inference tensor outside InferenceMode is not allowed.() on tensor with symbolic sizes/stridesthrow_cannot_call_with_symbolicCannot access data pointer of Tensor that doesn't have storageSize mismatch - did you call reshape before sharing the data?Source tensor don't have a data type (did you call mutable_data on the tensor?)Source tensor has no content and has size > 0To share with a raw external pointer you need to pass in an initialized data_type(TypeMeta).ShareExternalPointer() called on tensor with symbolic shapeUniqueStorageShareExternalPointer can only be called when use_count == 1UniqueStorageShareExternalPointerCould not allocate memory for Tensor SizesAndStrides!/pytorch/c10/core/impl/SizesAndStrides.hdata_type == ScalarType::Undefined || device_opt_.has_value() INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.cpp":140, please report a bug to PyTorch. has_symbolic_sizes_strides_ INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.cpp":916, please report a bug to PyTorch. required rank 4 tensor to use channels_last formatrequired rank 5 tensor to use channels_last_3d formatfalse INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.cpp":954, please report a bug to PyTorch. tried to directly modify sizes for customized tensornumel: integer multiplication overflow) must match dimensionality of strides (Expected sizes_and_strides_.size() >= 1u to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)`num` must be non-negative for ExtendRight now Extend is only supported for contiguous Tensor.Extend() called on tensor with symbolic shapedevice_type cannot be run on undefined Tensornon-POD types work only on CPUCannot report itemsize of Tensor that doesn't have initialized dtype (e.g., caffe2::Tensor x(CPU), prior to calling mutable_data() on x)Right now ReserveSpace is only supported for contiguous Tensor.ReserveSpace() called on tensor with symbolic shapeCan't call ReserveSpace on shared storage.Right now Reshape is only supported for contiguous Tensor.Reshape() called on tensor with symbolic shapeExpected d >= 0 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)New size and old size are not equal. You cannot use Reshape, but should use Resize. The old caffe2 mixes Reshape and Resize but this behavior has been changed. If you find this error, most likely you will need to change corresponding code from Reshape to Resize.(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_memoryis 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)cannot call storage_initialized on tensor that does not have storagestorage_offset_ == 0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.h":2280, please report a bug to PyTorch. storage_offset_ == 0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.h":2308, please report a bug to PyTorch. /pytorch/c10/core/MemoryFormat.hset_storage_offset() called on tensor with symbolic shapeExpected resizable() && allocator() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)ChannelsLast2d doesn't support size false INTERNAL ASSERT FAILED at "/pytorch/c10/core/MemoryFormat.h":81, please report a bug to PyTorch. ChannelsLast3d doesn't support size false INTERNAL ASSERT FAILED at "/pytorch/c10/core/MemoryFormat.h":108, please report a bug to PyTorch. extra_meta_ && extra_meta_->symbolic_shape_meta_ INTERNAL ASSERT FAILED at "/pytorch/c10/core/TensorImpl.h":1728, please report a bug to PyTorch. set_stride() called on tensor with symbolic shapeset_size() called on tensor with dynamic shapes or customized size behaviorSetDims() called on tensor with symbolic shapestrides() called on an undefined Tensor/pytorch/c10/core/UndefinedTensorImpl.cppsym_strides() called on an undefined Tensorset_storage_offset() called on an undefined TensorRank cannot be negative but got /pytorch/c10/core/WrapDimMinimal.cppshould never reach here as dim should be out-of-boundsfalse INTERNAL ASSERT FAILED at "/pytorch/c10/core/WrapDimMinimal.cpp":33, please report a bug to PyTorch. Dimension out of range (expected to be in range of [Materializing a storage in the loop function of at::parallel_for is forbidden!c10::ParallelGuard::is_enabled() INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COW.cpp":114, please report a bug to PyTorch. /pytorch/c10/core/impl/COW.cppctx != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COW.cpp":120, please report a bug to PyTorch. data.get() == data_ptr.get() INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COW.cpp":132, please report a bug to PyTorch. std::holds_alternative( result) INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COW.cpp":136, please report a bug to PyTorch. ctx != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COW.cpp":28, please report a bug to PyTorch. data_.get_deleter() != cow::cow_deleter INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COWDeleter.cpp":15, please report a bug to PyTorch. /pytorch/c10/core/impl/COWDeleter.cpprefcount > 1 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COWDeleter.cpp":20, please report a bug to PyTorch. refcount_ == 0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COWDeleter.cpp":39, please report a bug to PyTorch. refcount >= 0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/COWDeleter.cpp":26, please report a bug to PyTorch. attempted to call layout on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":86, please report a bug to PyTorch. /pytorch/c10/core/impl/PyInterpreter.cppattempted to call device on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":71, please report a bug to PyTorch. attempted to call detach on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":24, please report a bug to PyTorch. attempted to call dispatch on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":29, please report a bug to PyTorch. attempted to call reportErrorCallback on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":33, please report a bug to PyTorch. attempted to call python_op_registration_trampoline on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":43, please report a bug to PyTorch. python_op_registration_trampolineattempted to call throw_abstract_impl_not_imported_error on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":50, please report a bug to PyTorch. throw_abstract_impl_not_imported_errorattempted to call python_dispatcher on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":57, please report a bug to PyTorch. attempted to call is_contiguous on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":61, please report a bug to PyTorch. attempted to call is_strides_like on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":65, please report a bug to PyTorch. attempted to call is_non_overlapping_and_dense on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":68, please report a bug to PyTorch. attempted to call dim on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":74, please report a bug to PyTorch. attempted to call strides on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":77, please report a bug to PyTorch. attempted to call numel on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":89, please report a bug to PyTorch. attempted to call sizes on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":80, please report a bug to PyTorch. attempted to call sym_numel on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":92, please report a bug to PyTorch. attempted to call sym_sizes on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":83, please report a bug to PyTorch. attempted to call sym_strides on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":95, please report a bug to PyTorch. attempted to call sym_storage_offset on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":98, please report a bug to PyTorch. attempted to call reset_backward_hooks on a Tensor with nontrivial PyObject after corresponding interpreter died0 INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyInterpreter.cpp":130, please report a bug to PyTorch. pyobj_interpreter_ != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyObjectSlot.cpp":13, please report a bug to PyTorch. /pytorch/c10/core/impl/PyObjectSlot.cpppyobj_ != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/core/impl/PyObjectSlot.cpp":14, please report a bug to PyTorch. cannot access PyObject for Tensor on interpreter that has already been used by another torch deploy interpreter /pytorch/c10/core/impl/PyObjectSlot.hCould not allocate memory to change Tensor SizesAndStrides!/pytorch/c10/core/impl/SizesAndStrides.cppTried to get stack at idx that's too big/pytorch/c10/core/impl/TorchDispatchModeTLS.cppCalled pop_highest_infra_mode, but no infra modes were active.trying to pop from empty mode stackalloc_cpu() seems to have been called with negative number: /pytorch/c10/core/impl/alloc_cpu.cppDefaultCPUAllocator: can't allocate memory: you tried to allocate thp madvise for HUGEPAGE failed with Check failed: !FLAGS_caffe2_cpu_allocator_do_zero_fill || !FLAGS_caffe2_cpu_allocator_do_junk_fill Cannot request both zero-fill and junk-fill at the same time(bool, default false) If set, do memory zerofilling when allocating on CPUcaffe2_cpu_allocator_do_zero_fill(bool, default false) If set, fill memory with deterministic junk when allocating on CPUcaffe2_cpu_allocator_do_junk_fill/pytorch/c10/core/thread_pool.cppException in thread pool task: Exception in thread pool task: unknownAllocation must have been recorded during validate_allocation./pytorch/c10/mobile/CPUProfilingAllocator.cppAllocation must have been recorded during record_allocation.Nesting profiling allocations is not supported.WithValidateAllocationPlanGuardNesting profiling allocators is not supported.Freeing allocation that is not accordingly to the plan.Lifetime of allocations do not match: allocation_id ProfilingAllocator: Allocation plan invalid.formulate_greedy_allocation_planEnf offset of allocation being freed must match the one recorded.ProfilingAllocator: Allocate event must have preceded deallocate event.ProfilingAllocator: Invalid event type.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.fast_1 >= fast_0 INTERNAL ASSERT FAILED at "/pytorch/c10/util/ApproximateClock.cpp":18, please report a bug to PyTorch. /pytorch/c10/util/ApproximateClock.cpp%s: __pos (which is %zu) > this->size() (which is %zu)TORCH_DISABLE_DEADLOCK_DETECTION!hooks || !python_gil_hooks INTERNAL ASSERT FAILED at "/pytorch/c10/util/DeadlockDetection.cpp":25, please report a bug to PyTorch. /pytorch/c10/util/DeadlockDetection.cppExpected logger to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)`TORCH_CPP_LOG_LEVEL` environment variable cannot be parsed. Valid values are `INFO`, `WARNING`, `ERROR`, and `FATAL` or their numerical equivalents `0`, `1`, `2`, and `3`.InitCaffeLogging() 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.Expected vertex_count == vertex_names.size() to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)/pytorch/c10/util/NetworkFlow.cppSmallVector capacity unable to grow. Already at maximum size SmallVector unable to grow. Requested capacity () is larger than maximum value for size type (/pytorch/c10/util/ThreadLocalDebugInfo.cppvalue cannot be converted to type c10_monitor_wait_counter_dynamic_backend_init_v1setenv failed for environment "err == 0 INTERNAL ASSERT FAILED at "/pytorch/c10/util/env.cpp":40, please report a bug to PyTorch. Ignoring invalid value for boolean flag C10 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: Division or mod by zero: dividend.hi=(bool, default false) Use NUMA whenever possible./pytorch/c10/util/signal_handler.cppCannot install SIGHUP handler.Cannot install SIGINT handler.Cannot uninstall SIGHUP handler.Cannot uninstall SIGINT handler.Failed to add SIGUSR2 handler!{}({}), PID: {}, Thread {}: {}signal lost waiting for stacktrace Failed to open /proc/self/taskcannot switch from manual to automatic argument indexingcannot switch from automatic to manual argument indexingformat specifier requires numeric argumentwidth/precision is not integerwidth/precision is out of rangeinvalid format specifier for charunmatched '}' in format stringError generating temporary file: /pytorch/c10/util/tempfile.cppError generating temporary directory: constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::unique_ptr; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::unique_ptr >; c10::c10_string_view = c10::basic_string_view]Unsupported TypeMeta in ATen: constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = unsigned char; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = signed char; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = short int; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = int; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = long int; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Half; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = float; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = double; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::complex; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::complex; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::complex; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = bool; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::qint8; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::quint8; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::qint32; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::BFloat16; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::quint4x2; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::quint2x4; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::bits1x8; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::bits2x4; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::bits4x2; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::bits8; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::bits16; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Float8_e5m2; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Float8_e4m3fn; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Float8_e5m2fnuz; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Float8_e4m3fnuz; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = unsigned int; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = long unsigned int; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<1>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<2>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<3>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<4>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<5>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<6>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_uint1_7_t<7>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<1>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<2>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<3>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<4>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<5>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<6>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::dummy_int1_7_t<7>; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Float8_e8m0fnu; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Float4_e2m1fn_x2; c10::c10_string_view = c10::basic_string_view]Maximum number of CAFFE_KNOWN_TYPE declarations has been exceeded. constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::__cxx11::basic_string; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = short unsigned int; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = char; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::vector; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::vector; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = std::vector; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = bool*; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = char*; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = int*; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = caffe2::detail::_guard_long_unique_dummy; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = caffe2::detail::_guard_long_unique_dummy >; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = float*; c10::c10_string_view = c10::basic_string_view]constexpr c10::c10_string_view c10::util::detail::fully_qualified_type_name_impl() [with T = c10::Half*; c10::c10_string_view = c10::basic_string_view]cpuinfo_get_%s called before cpuinfo is initializedcurrent_uarch_index_with_defaultfailed to allocate %zu bytes for descriptions of %u x86 logical processorsfailed to parse processor information from /proc/cpuinfofailed to allocate %zu bytes for descriptions of %u logical processorsfailed to allocate %zu bytes for mapping entries of %u logical processorsfailed to allocate %zu bytes for mapping entries of %u coresfailed to allocate %zu bytes for descriptions of %u coresfailed to allocate %zu bytes for descriptions of %u core clustersfailed to allocate %zu bytes for descriptions of %u physical packagesfailed to allocate %zu bytes for descriptions of %u L1I cachesfailed to allocate %zu bytes for descriptions of %u L1D cachesfailed to allocate %zu bytes for descriptions of %u L2 cachesfailed to allocate %zu bytes for descriptions of %u L3 cachesfailed to allocate %zu bytes for descriptions of %u L4 caches/sys/devices/system/cpu/kernel_maxfailed to parse file %s: file is emptyfailed to parse file %s: "%.*s" is not an unsigned number/sys/devices/system/cpu/cpu%u/cpufreq/cpuinfo_cur_freq/sys/devices/system/cpu/cpu%u/cpufreq/cpuinfo_max_freq/sys/devices/system/cpu/cpu%u/cpufreq/cpuinfo_min_freq/sys/devices/system/cpu/cpu%u/topology/core_id/sys/devices/system/cpu/cpu%u/topology/physical_package_id/sys/devices/system/cpu/possible/sys/devices/system/cpu/present/sys/devices/system/cpu/cpu%u/topology/core_cpus_list/sys/devices/system/cpu/cpu%u/topology/core_siblings_list/sys/devices/system/cpu/cpu%u/topology/thread_siblings_list/sys/devices/system/cpu/cpu%u/topology/cluster_cpus_list/sys/devices/system/cpu/cpu%u/topology/package_cpus_listfailed to read file %s: insufficient buffer of size %zu bytes, total alloc bytes.C10 deleted C10 alloc %s NYIwrap_boolwrap_floatwrap_intsym_floatcloneis_non_overlapping_and_denseis_channels_last_strides_3dis_channels_last_strides_2dis_contiguoussym_itesym_notsym_andsym_orsym_maxsym_minnegfloorceilmodfloordivpowtruedivsubaddnot a floatguard_floatnot an intint_not a boolbool_falsetrueguard_boolguard_inteqnegeleltgtmul, to ptrbasic_string::append/pytorch/c10/core/Device.cppDevice'Invalid device string: 'stoimkldnnparse_typeoperator()Expected one of ' in device string 'cpucudaipuxpuopenglopenclideephipvefpgamaiaxlalazyvulkanmpsmetahpumtiaprivateuseonevector::_M_realloc_insertCPUOPENGLOPENCLMKLDNNIDEEPHIPXLAMPSVULKANmetalMETALXPUHPUIPUUnknown device: DeviceTypeNameregister_privateuse1_backendCPUBitCUDABitHIPBitXLABitLazyBitMetaBitXPUBitIPUBitMPSBitHPUBitVEBitMTIAMAIAPrivateUse1BitPrivateUse2BitPrivateUse3BitInvalidBitUNKNOWN_BACKEND_BITUndefinedDenseUnknownUnknownVulkanMetalLazyQuantizedQuantizedPrivateUse1CustomRNGKeyIdMkldnnCPUSparseSparseCsrNestedTensorBackendSelectPythonFakeFuncTorchDynamicLayerBackModeFunctionalizeNamedConjugateNegativeZeroTensorADInplaceOrViewAutogradOtherAutogradFunctionalityAutogradNestedTensorTracerAutocastCPUAutocastMTIAAutocastMAIAAutocastXPUAutocastIPUAutocastHPUAutocastCUDAAutocastXLAAutocastPrivateUse1AutocastMPSFuncTorchBatchedBatchedNestedTensorFuncTorchVmapModeBatchedVmapModeFuncTorchGradWrapperDeferredInitPythonTLSSnapshotTESTING_ONLY_GenericWrapperTESTING_ONLY_GenericModePreDispatchPythonDispatcherAutogradCompositeImplicitAutogradCompositeExplicitAutogradFuncTorchBatchedDecompositionAutogradCUDAAutogradPrivateUse2AutogradPrivateUse3VEAutogradPrivateUse1AutogradMetaAutogradMAIAPrivateUse1PrivateUse2PrivateUse3MetaFPGAQuantizedCPUNestedTensorCUDAQuantizedHIPQuantizedXLAQuantizedMPSQuantizedIPUQuantizedXPUQuantizedHPUQuantizedVEQuantizedLazyQuantizedMTIAQuantizedMAIAAutogradUndefinedQuantizedPrivateUse2QuantizedPrivateUse3QuantizedMetaQuantizedUndefinedSparseCPUSparseCsrCUDASparseHIPSparseXLASparseMPSSparseIPUSparseXPUSparseHPUSparseVESparseLazySparseMTIASparseMAIASparsePrivateUse1SparsePrivateUse2SparsePrivateUse3SparseMetaSparseUndefinedSparseCsrCPUSparseCUDASparseCsrHIPSparseCsrXLASparseCsrMPSSparseCsrIPUSparseCsrXPUSparseCsrHPUSparseCsrVESparseCsrLazySparseCsrMTIASparseCsrMAIASparseCsrPrivateUse1SparseCsrPrivateUse2SparseCsrPrivateUse3SparseCsrMetaSparseCsrUndefinedNestedTensorCPUQuantizedCUDANestedTensorHIPNestedTensorXLANestedTensorMPSNestedTensorIPUNestedTensorXPUNestedTensorHPUNestedTensorVENestedTensorLazyNestedTensorMTIANestedTensorMAIANestedTensorPrivateUse1NestedTensorPrivateUse2NestedTensorPrivateUse3NestedTensorMetaNestedTensorUndefinedAutogradCPUCUDAAutogradHIPAutogradXLAAutogradMPSAutogradIPUAutogradXPUAutogradHPUAutogradVEAutogradLazyAutogradMTIAparseDispatchKeyNULSOHSTXETXEOTENQACKalertbackspacetabnewlinevertical-tabform-feedcarriage-returnSOSIDLEDC1DC2DC3DC4NAKSYNETBCANEMSUBESCIS4IS3IS2IS1spaceexclamation-markquotation-marknumber-signdollar-signpercent-signampersandapostropheleft-parenthesisright-parenthesisasteriskplus-signcommahyphenperiodslashzeroonetwothreefourfivesixseveneightninecolonsemicolonless-than-signequals-signgreater-than-signquestion-markcommercial-atABCDEFGHIJKLMNOPQRSTUVWXYZleft-square-bracketbackslashright-square-bracketcircumflexunderscoregrave-accentabcefghijklmnopqrstuvwxyzleft-curly-bracketvertical-lineright-curly-brackettildeDELalnumalphablankcntrldigitgraphlowerprintpunctupperxdigit^$\.*+?()[]{}|.[\*^$.[\()*+?{|^$.[\*^$ .[\()*+?{|^$ invalid back referencedInvalid character class.Invalid collate element.Invalid equivalence class.conflicting grammar optionsgetRuntimeDispatchKeySetruntimeDispatchKeySetHasoperator++num_runtime_entries: last_offset: DispatchKeySet()DispatchKeySet()num_backends=next_functionality_=iterator and backend bit operator*/dev/urandomUnable to open /dev/urandomreadURandomLonggraphsafe_set_stategraphsafe_get_statenbytesStorageImpl/pytorch/c10/core/Scalar.cppoperator-NYI negate symbolic floatNYI negate symbolic intunknown ivalue tag NYI log symbolic floatlogNYI log symbolic intByteCharShortIntLongHalfFloatDoubleComplexHalfComplexFloatComplexDoubleBoolQInt8QUInt8QInt32BFloat16QUInt4x2QUInt2x4Bits1x8Bits2x4Bits4x2Bits8Bits16Float8_e5m2Float8_e4m3fnFloat8_e5m2fnuzFloat8_e4m3fnuzUInt16UInt32UInt64UInt1UInt2UInt3UInt4UInt5UInt6UInt7Int1Int2Int3Int4Int5Int6Int7Float8_e8m0fnuFloat4_e2m1fn_x2UNKNOWN_SCALARuint1bituint2uint3uint4uint5uint6uint7uint8uint16uint32uint64int1int2int3int4int5int6int7int8float64doublefloat32floatint32intint64longint16shortfloat16halfcomplex32chalfcomplex64cfloatcomplex128cdoubleboolqint8quint8qint32bfloat16quint4x2quint2x4bits1x8bits2x4bits4x2bits8bits16float8_e5m2float8_e4m3fnfloat8_e5m2fnuzfloat8_e4m3fnuzfloat8_e8m0fnufloat4_e2m1fn_x2Unimplemented scalar type promoteTypes and throwNullDataPtrErrorwarnDeprecatedDataPtrthrow_data_ptr_access_errorfor PrivateUse1. please expand the allowlistSetStorageImplCreate has been registered.stream on device devicesgetDeviceGuardImpl/pytorch/c10/core/SymBool.cpptoSymNodeImpl/pytorch/c10/core/SymBool.hSymBool/pytorch/c10/core/SymFloat.hSymFloattoSymNode/pytorch/c10/core/SymInt.cppSymInt/pytorch/c10/core/SymInt.hvector::reserveTensorImpllayout_impltensor does not have a devicedevice_defaultmatches_python_customsymbolic_shape_metaGetAutogradMetaFactoryset_requires_gradTensors of type do not have layoutlayout_customCannot call numelthrow_storage_access_errorCannot access storage of storage_offsetShareDataShareExternalPointerallocateOutOfLineStorageresizeOutOfLineStorageempty_tensor_restride_symintunsupported memory format invalid memory format set_sizes_contiguous set_sizes_contiguoussafe_compute_numelStride calculation overflowedempty_tensor_restridegeneric_set_sizes_contiguous generic_set_sizes_contiguousset_sizes_and_strides set_sizes_and_stridesdimensionality of sizes (Extenddevice_typeitemsizeReserveSpaceReshapecaffe2_keep_on_shrinkstorage_initializedraw_mutable_dataPreserveContiguousChannelsLastChannelsLast3dUnknown memory format operator<<set_storage_offset set_storage_offset/pytorch/c10/core/Storage.hreset_legacyget_channels_last_strides_2dget_channels_last_strides_3dset_stride set_strideset_size set_sizeSetDimsTemplate (default)TensorOptions(dtype=, device=, layout=StridedSparseCscSparseBsrSparseBscMkldnnJaggedUnknown layout/pytorch/c10/core/Layout.h, requires_grad=, pinned_memory=, memory_format=(nullopt)UndefinedTensorImplstrides_customsym_strides_custommaybe_wrap_dim_slow but tensor has no dimensionsDimension specified as ], but got materialize_cow_storagecopy_data_ptrCOWDeleterContextincrement_refcount~COWDeleterContextdecrement_refcountlayoutdevicedetachdispatchreportErrorCallbackpython_dispatcheris_strides_likedimstridessizessym_numelsym_sizessym_stridessym_storage_offsetreset_backward_hooksmaybe_destroy_pyobjload_pyobj_interpretercheck_pyobjresizeSlowPathbad optional accessget_stack_atProxyTorchDispatchModeFakeTensorModeUNKNOWN_MODEpop_highest_infra_modepop_stacktrying to set the current , but one already existsset_modeTHP_MEM_ALLOC_ENABLE((ptrdiff_t)nbytes) >= 0 bytes. Error code (err == 0alloc_cpuNo threads to run a taskvalidate_freerecord_freeAllocation plan is nullptr.set_planWithProfileAllocationsGuardWithProfilingAllocatorGuardfree, expected:, got:validate_allocation_planAllocation id:, but got:validate_allocationallocategetCount is non-monotonic.measurePairvector::_M_default_appendpythonpython3libpythonframe # : + in ) basic_string::substrSetPythonGILHooksCounter already registeredWarning: (function [enforce fail at :] . PYTORCH_API_USAGE PYTORCH_API_USAGE_STDERR/pytorch/c10/util/Logging.cppSetAPIUsageLoggerSetAPIUsageMetadataLoggerSetPyTorchDDPUsageLoggerTORCH_CPP_LOG_LEVELWARNINGERRORFATAL). Capping it to GLOG_FATAL.[rank]:[. (most recent call first): Exception raised from caffe2_use_fatal_for_enforceminloglevellogtostderrcaffe2_log_level/wstring_convert::to_bytes at Expected debug info of type _pop_peek without overflow", the error is: /pytorch/c10/util/env.cppset_envvalid values are 0 or 1.check_envFalseFALSE--helpArguments: . 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