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TóSA©ý{èÀ_֜àþ—€þÿ4hÂ9‘…÷ÿ—€‚9‘Þþ—ïÿÿQÝþ—󪀂9‘öÝþ—àªtàþ— Õ Õ Õ_$ÕPðb{9p4AüàˆÀ_Öð*@ü_ˆkaTAüˆ‘ÿÿ5À_Ö Õ Õ Õ_$ÕPðb{9p4 à¸À_Öð* ü_ˆ1üˆ¯ÿÿ5À_Ö Õý{¿©ý‘ý{hÀ_ÖError parsing CachingAllocator settings, expected /vad-e2e/pytorch/c10/cuda/CUDAAllocatorConfig.cppconsumeTokenstoiCachingAllocator option max_split_size_mb too small, must be > parseMaxSplitSizeError, expecting max_split_size_mb valueTrueFalseExpected a single True/False argument for pinned_use_cuda_host_registerparsePinnedUseCudaHostRegisterError, expecting pinned_use_cuda_host_register valuenativecudaMallocAsyncUnknown allocator backend, options are native and cudaMallocAsyncparseAllocatorConfigbackend:cudaMallocAsync requires CUDA runtime 11.4 or newer, but cudaDriverGetVersion returned Allocator backend parsed at runtime != allocator backend parsed at load timeconfig[i] == get()->name() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAAllocatorConfig.cpp":227, please report a bug to PyTorch. Error parsing backend valuestodgarbage_collect_threshold too small, set it 0.0~1.0parseGarbageCollectionThresholdgarbage_collect_threshold too big, set it 0.0~1.0Error, expecting garbage_collection_threshold valueNumber of register threads has to be power of 2 parsePinnedNumRegisterThreadsNumber of register threads should be less than or equal to Error, expecting pinned_num_register_threads valueError parsing roundup_power2_divisions valueparseRoundUpPower2DivisionsFor roundups, the divisons has to be power of 2 or 0 to disable roundup stoulFor roundups, the intervals have to be power of 2 For roundups, the divisons has to be power of 2 Error, expecting roundup_power2_divisions valuevector::_M_realloc_insertmax_split_size_mbExpected a single True/False argument for expandable_segmentsparseArgsExpected a single True/False argument for release_lock_on_cudamallocUnrecognized CachingAllocator option: backend:cudaMallocAsync ignores max_split_size_mb,roundup_power2_divisions, and garbage_collect_threshold.pinned_num_register_threadspinned_use_cuda_host_registerpinned_use_hip_host_registerrelease_lock_on_cudamallocrelease_lock_on_hipmallocexpandable_segmentsbackendroundup_power2_divisionsgarbage_collection_thresholdPYTORCH_CUDA_ALLOC_CONFbad optional accessgetDevice/vad-e2e/pytorch/c10/cuda/impl/CUDAGuardImpl.hisHistoryEnabled/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cppd.is_cuda() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/impl/CUDAGuardImpl.h":53, please report a bug to PyTorch. setDeviceBoth events must be recorded before calculating elapsed time.elapsedTimesynchronizeEventExpected stream_.device_type() == DeviceType::CUDA to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)/vad-e2e/pytorch/c10/cuda/CUDAStream.hCUDAStreamd.is_cuda() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/impl/CUDAGuardImpl.h":34, please report a bug to PyTorch. exchangeDeviceuncached_deletecopy_dataqueryEventbasic_string::_M_construct null not validcacheInfoPYTORCH_NO_CUDA_MEMORY_CACHINGUnexpected end of regex when escaping.Unexpected end of regex when reading control code.Unexpected end of regex when ascii character.PyTorch is not linked with support for  devices/vad-e2e/pytorch/c10/core/impl/DeviceGuardImplInterface.hgetDeviceGuardImplstream_synchronize/vad-e2e/pytorch/c10/cuda/CUDAFunctions.hqueryEvent device index  does not match recording stream's device index recordCUDA event received unknown flagcreateEventCUDA warning: operator()currentStreamCaptureStatusMayInitCtx/vad-e2e/pytorch/c10/cuda/CUDAGraphsC10Utils.hCUDAStreamCaptureModeGuard bytes KiB MiB GiBAllocator not initialized for device : did you call init?0 <= device && static_cast<size_t>(device) < device_allocator.size() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":3004, please report a bug to PyTorch. setMemoryFractioninvalid fraction:. Please set within (0, 1).0 <= fraction && fraction <= 1 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":3009, please report a bug to PyTorch. Invalid device argument assertValidDeviceit != graph_pools.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1878, please report a bug to PyTorch. releasePooluc >= 0 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1880, please report a bug to PyTorch. inserted INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1887, please report a bug to PyTorch. CUDA driver error: unknown errorsetAccessCUDA driver error: unmapHandlesvector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)insert_eventscannot create std::vector larger than max_size()0 <= device INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":680, please report a bug to PyTorch. getdevice < static_cast<int>(pools_.size()) INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":681, please report a bug to PyTorch. cannot create std::deque larger than max_size()Expected when == RecordContext::NEVER || context_recorder to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)recordHistoryCould not find pool of idcheckPoolLiveAllocationspool != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":975, please report a bug to PyTorch. b != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":980, please report a bug to PyTorch. b->pool != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":981, please report a bug to PyTorch. invalid device pointer: getBaseAllocationTensors allocated with expandable_segments:True cannot be shared between processes. Consider using expandable_segments:False in data loading workers via torch.cuda.memory._set_allocator_settings('expandable_segments:False')dst->is_split() && src->is_split() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2186, please report a bug to PyTorch. try_merge_blocksvector::_M_range_insertenablePeerAccessvector::_M_default_appendit->second->use_count > 0 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1839, please report a bug to PyTorch. beginAllocateToPoolbeginAllocateToPool: already recording to mempool_idendAllocatePool: not currently recording to mempool_idendAllocateToPool!block->allocated && block->event_count == 0 && block->stream_uses.empty() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2102, please report a bug to PyTorch. free_blockinserted INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2136, please report a bug to PyTorch. params.err == cudaSuccess && params.block != nullptr && params.block->ptr != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1209, please report a bug to PyTorch. alloc_found_block!block->expandable_segment_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2586, please report a bug to PyTorch. release_blockpool->owner_PrivatePool->cudaMalloc_count > 0 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2602, please report a bug to PyTorch. pool INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":253, please report a bug to PyTorch. gc_countbefore->next == after INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":262, please report a bug to PyTorch. spliceafter->prev == before INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":267, please report a bug to PyTorch. block disagrees with segmentblock->size == block->expandable_segment_->size() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2568, please report a bug to PyTorch. release_expandable_segment!block->mapped INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2571, please report a bug to PyTorch. it != expandable_segments_.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2576, please report a bug to PyTorch. ~ExpandableSegment!to_map->mapped && size <= to_map->size INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2006, please report a bug to PyTorch. map_block!to_map->context_when_allocated INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2007, please report a bug to PyTorch. ptr() + begin * segment_size_ == range.ptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":409, please report a bug to PyTorch. map!handles_.at(i) INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":417, please report a bug to PyTorch. mapped_range.ptr == to_map->ptr && mapped_range.size >= size INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2016, please report a bug to PyTorch. ExpandableSegmentcandidate->mapped INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2081, please report a bug to PyTorch. try_allocate_expandable_blockfreealloc_blockFailed to acquire lock after cudaMallocp.block != nullptr && p.block->ptr != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2480, please report a bug to PyTorch. Expected PrivatePoolStatesetCheckpointPoolStateNot expected to checkpoint freeable graphCould not find private pool idEvents should have synchronized when setting checkpointed blockfreeBlocksAllocatedToPoolExpected !curr->allocated to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.) could not find block->pool INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1528, please report a bug to PyTorch. setSegmentStateToCheckpointExpected curr_block->ptr == block_state.ptr to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected curr_block->size == block_state.size to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)Expected (curr_block != nullptr) == ((i + 1) < (segment_len)) to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)curr_block != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1573, please report a bug to PyTorch. Expected curr_block->allocated == block_state.allocated to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)getIpcDevPtrNo allocated block can be foundblock != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":3085, please report a bug to PyTorch. recordStream!block->stream_uses.empty() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2777, please report a bug to PyTorch. insert_events_deferred_until_no_capturecaptures_underway.empty() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2716, please report a bug to PyTorch. synchronize_and_free_eventsit->second->use_count == 0 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2552, please report a bug to PyTorch. release_cached_blockserase_count == 1 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2557, please report a bug to PyTorch. process_eventsit1 != graph_pools.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2222, please report a bug to PyTorch. get_poolvector::reserveparams.err == cudaErrorMemoryAllocation INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":1077, please report a bug to PyTorch. mallocbasic_string::append allowed; NVML_SUCCESS == DriverAPI::get()->nvmlInit_v2_() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":806, please report a bug to PyTorch. reportProcessMemoryInfo%08X:%02X:%02X.0NVML_SUCCESS == DriverAPI::get()->nvmlDeviceGetHandleByPciBusId_v2_( pci_id, &nvml_device) INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":823, please report a bug to PyTorch. NVML_SUCCESS == r INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":838, please report a bug to PyTorch. Including non-PyTorch memory, this processProcess  has  memory in use. with  allocated in private pools (e.g., CUDA Graphs),  of which  has a total capacity of . GPU CUDA out of memory. Tried to allocate  PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) If reserved but unallocated memory is large try setting is reserved by PyTorch but unallocated.and  is allocated by PyTorch, Of the allocated memory  is free. 0 <= device && static_cast<size_t>(device) < device_allocator.size() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":2972, please report a bug to PyTorch. raw_alloc_with_streamraw_allocCUDA out of memory. Tried to allocate more than 1EB memory.allocateEvents should have synchronized when checkpointing blockBlockStatehead->prev == nullptr && head->pool != nullptr INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.cpp":758, please report a bug to PyTorch. SegmentStategetCheckpointStateUnexpected escape character.Unexpected end of regex when in an open parenthesis.Invalid special open parenthesis.Unexpected null character in regular expressionUnexpected end of regex when in brace expression.Unexpected character in brace expression.Unexpected end of character class.Unexpected end of regex when in bracket expression.Unexpected character class open bracket.^$\.*+?()[]{}|.[\*^$.[\()*+?{|^$.[\*^$
.[\()*+?{|^$
Number of NFA states exceeds limit. Please use shorter regex string, or use smaller brace expression, or make _GLIBCXX_REGEX_STATE_LIMIT larger.Unexpected back-reference in polynomial mode.Back-reference index exceeds current sub-expression count.Back-reference referred to an opened sub-expression.invalid back referenceInvalid character class.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 start of range in bracket expression.Invalid range in bracket expression.Invalid end of range in bracket expression.Invalid dash in bracket expression.Unexpected character in bracket expression.Parenthesis is not closed.conflicting grammar options[\s,]+[:]+~CUDAStreamCaptureModeGuarduncheckedSetDevicedestroyEventNULSOHSTXETXEOTENQACKalertbackspacetabnewlinevertical-tabform-feedcarriage-returnSOSIDLEDC1DC2DC3DC4NAKSYNETBCANEMSUBESCIS4IS3IS2IS1spaceexclamation-markquotation-marknumber-signdollar-signpercent-signampersandapostropheleft-parenthesisright-parenthesisasteriskplus-signcommahyphenperiodslashonetwothreefourfivesixseveneightninecolonsemicolonless-than-signequals-signgreater-than-signquestion-markcommercial-atABCDEFGHIJKLMNOPQRSTUVWXYZleft-square-bracketbackslashright-square-bracketcircumflexunderscoregrave-accentfgjmqvwxyzleft-curly-bracketvertical-lineright-curly-brackettildeDELalnumalphablankcntrldigitgraphlowerprintpunctupperxdigitSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagZN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocator12getIpcDevPtrENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEUlPvE_St16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN3c1016OutOfMemoryErrorEN3c104impl24DeviceGuardImplInterfaceEN3c104impl16VirtualGuardImplESt19bad_optional_accessN3c104cuda20CUDACachingAllocator14AllocatorStateEN3c104cuda20CUDACachingAllocator13CUDAAllocatorEN3c104cuda4impl13CUDAGuardImplEN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocatorEZN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocator8snapshotEvEUllE_St19_Sp_counted_deleterIPvZN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocator12getIpcDevPtrENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEUlS0_E_SaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt8__detail4_NFAINSt7__cxx1112regex_traitsIcEEEESaIS5_ELN9__gnu_cxx12_Lock_policyE2EENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb0ELb0ELb0EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb0ELb0ELb1EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb0ELb1ELb0EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb0ELb1ELb1EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb1ELb0ELb0EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb1ELb0ELb1EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb1ELb1ELb0EEENSt8__detail11_AnyMatcherINSt7__cxx1112regex_traitsIcEELb1ELb1ELb1EEENSt8__detail12_CharMatcherINSt7__cxx1112regex_traitsIcEELb0ELb0EEENSt8__detail12_CharMatcherINSt7__cxx1112regex_traitsIcEELb0ELb1EEENSt8__detail12_CharMatcherINSt7__cxx1112regex_traitsIcEELb1ELb0EEENSt8__detail12_CharMatcherINSt7__cxx1112regex_traitsIcEELb1ELb1EEENSt8__detail15_BracketMatcherINSt7__cxx1112regex_traitsIcEELb0ELb0EEENSt8__detail15_BracketMatcherINSt7__cxx1112regex_traitsIcEELb0ELb1EEENSt8__detail15_BracketMatcherINSt7__cxx1112regex_traitsIcEELb1ELb0EEENSt8__detail15_BracketMatcherINSt7__cxx1112regex_traitsIcEELb1ELb1EEEww?:
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*N3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_116PrivatePoolStateE*St14default_deleteIN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_116PrivatePoolStateEE*St19_Sp_counted_deleterIPN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_116PrivatePoolStateESt14default_deleteIS5_ESaIvELN9__gnu_cxx12_Lock_policyE2EE*ZN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_117ExpandableSegment7addPeerEaEUlmmE_*ZN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_117ExpandableSegmentD4EvEUlmmE_*ZN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_19EventPool3getEaEUlPP10CUevent_stE_Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
PYTORCH_CUDA_DSA_STACKTRACINGPYTORCH_USE_CUDA_DSAdsa_get_device_count/vad-e2e/pytorch/c10/cuda/CUDADeviceAssertionHost.cppCUDA error: 
Device-side assertions were explicitly omitted for this error check; the error probably arose while initializing the DSA handlers./vad-e2e/pytorch/c10/cuda/CUDAException.cppc10_cuda_check_implementationShould never been called/vad-e2e/pytorch/c10/cuda/CUDAFunctions.cppdummyHasPrimaryContextdevice_synchronizecalled a synchronizing CUDA operationwarn_or_error_on_syncExchangeDeviceFound no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspxdevice_count_implThe NVIDIA driver on your system is too old (found version ). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.CUDA driver initialization failed, you might not have a CUDA gpu.CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero.Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error : No CUDA GPUs are availabledevice_count_ensure_non_zeroToo many CUDA devices, DeviceIndex overflowedcount <= std::numeric_limits<DeviceIndex>::max() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAFunctions.cpp":120, please report a bug to PyTorch. result <= std::numeric_limits<DeviceIndex>::max() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAFunctions.cpp":101, please report a bug to PyTorch. CUDA initialization: cudaGetDevice returns invalid device tmp_device >= 0 && tmp_device <= std::numeric_limits<DeviceIndex>::max() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAFunctions.cpp":221, please report a bug to PyTorch. GetDevicecurrent_devicedevice id must be positive!SetDeviceset_deviceSetTargetDeviceMaybeExchangeDevicetmp_cur_device >= 0 && tmp_cur_device <= std::numeric_limits<DeviceIndex>::max() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAFunctions.cpp":272, please report a bug to PyTorch. cudaMallocAsync does not yet support setCheckpointPoolState. If you need it, please file an issue describing your use case./vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cppcudaMallocAsync does not yet support getCheckpointState. If you need it, please file an issue describing your use case.cudaMallocAsync does not yet support attachAllocatorTraceTracker. If you need it, please file an issue describing your use case.attachAllocatorTraceTrackercudaMallocAsync does not yet support attachOutOfMemoryObserver. If you need it, please file an issue describing your use case.attachOutOfMemoryObservercudaMallocAsync does not yet support recordHistory. If you need it, please file an issue describing your use case.cudaMallocAsync does not yet support getIpcDevPtr. If you need it, please file an issue describing your use case.Calling snapshot with backend:cudaMallocAsync is not meaningful. (For backend:native, snapshot returns a detailed summary of all blocks tracked by the allocator, but the cudaMallocAsync backend does not track individual blocks.)snapshotcapture_free_streams.empty() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":770, please report a bug to PyTorch. Only one capture at a time is allowed in a process.ptr not found in ptr_infoit != ptr_info.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":580, please report a bug to PyTorch. Invalid device argument.For backend:cudaMallocAsync, resetAccumulatedStats has no effect.vector<bool>::_M_fill_insertit != ptr_info.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":600, please report a bug to PyTorch. Called record_stream on tensor whose original creation stream matches the recorded stream. This is unnecessary and has no effect. does not yet support recordHistory. If you need it, please file an issue describing your use case./vad-e2e/pytorch/c10/cuda/CUDACachingAllocator.h does not yet support checkPoolLiveAllocations. If you need it, please file an issue describing your use case.CudaMallocAsync::notifyCaptureAboutToEnd called, but CudaMallocAsync::capture_underway is false.CudaMallocAsync::notifyCaptureEnded called, but CudaMallocAsync::capture_underway is false.resetPeakStatsgetDeviceStatsfree_impldummy_unifying_free_stream.device == creation_stream.device INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":227, please report a bug to PyTorch. sync_rawlazy_init_devicefree_upper_bound + pytorch_used_bytes[device] <= device_total INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":541, please report a bug to PyTorch. 0 <= fraction && fraction <= 1 INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":456, please report a bug to PyTorch. Invalid device index 0 <= device && device < device_count INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":322, please report a bug to PyTorch. mallocAsyncit != ptr_info.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":340, please report a bug to PyTorch. Allocation on device  would exceed allowed memory. (out of memory)
Currently allocated     : 
Requested               : 
Device limit            : 
Free (according to CUDA): 
PyTorch limit (set by user-supplied memory fraction)
                        : address returned by cudaMallocAsync already exists in ptr_infoinserted.second INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":393, please report a bug to PyTorch. freeAsyncit != ptr_info.end() INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":279, please report a bug to PyTorch. freeAsync() was called on an uncaptured allocation during graph capture (address = ). This may be benign, for example, a Python tensor in the capture might happen to shadow (use the same name as) an unrelated temporary tensor from somewhere before capture, pushing the earlier tensor out of scope. However, if the tensor we're freeing here IS used by the capture, freeing it is an error, and may cause illegal memory accesses or memory corruption during graph replay.Attempting uncaptured free of a captured allocation with address 
This is technically allowed, but may indicate you are losing the last user-visible tensor through which the allocation can be accessed, so you'll have no way to view the data after future replays of the owning graph.resetAccumulatedStatsN3c104cuda20CUDACachingAllocator15CudaMallocAsync24CudaMallocAsyncAllocatorE
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1CUDA_LAUNCH_BLOCKINGNumber of CUDA devices on the machine is larger than the compiled max number of gpus expected (). Increase that and recompile./vad-e2e/pytorch/c10/cuda/CUDAStream.cppinitGlobalStreamStatedevice_index >= 0 && device_index < num_gpus INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAStream.cpp":247, please report a bug to PyTorch. check_gpuinvalid StreamIdval || !(s & 1) INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAStream.cpp":150, please report a bug to PyTorch. streamIdTypeUnrecognized stream  (I didn't recognize the stream type, PRIORITY  with the value streamType >= 1 && streamType <= max_stream_priorities INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/CUDAStream.cpp":290, please report a bug to PyTorch. streaminitSingleStreamExpected cuda stream priority to be less than or equal to 0, got getStreamFromPoolc10_cuda_test/vad-e2e/pytorch/c10/cuda/impl/CUDATest.cpplibnvidia-ml.so.1libcuda.so.1Can't open libcuda.so.1: /vad-e2e/pytorch/c10/cuda/driver_api.cppcreate_driver_apicuMemAddressReserveCan't find r.cuMemAddressReserve_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuMemReleaser.cuMemRelease_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuMemMapr.cuMemMap_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuMemAddressFreer.cuMemAddressFree_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuMemSetAccessr.cuMemSetAccess_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuMemUnmapr.cuMemUnmap_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuMemCreater.cuMemCreate_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. cuGetErrorStringr.cuGetErrorString_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":20, please report a bug to PyTorch. nvmlInit_v2r.nvmlInit_v2_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":27, please report a bug to PyTorch. nvmlDeviceGetHandleByPciBusId_v2r.nvmlDeviceGetHandleByPciBusId_v2_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":27, please report a bug to PyTorch. nvmlDeviceGetNvLinkRemoteDeviceTyper.nvmlDeviceGetNvLinkRemoteDeviceType_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":27, please report a bug to PyTorch. nvmlDeviceGetNvLinkRemotePciInfo_v2r.nvmlDeviceGetNvLinkRemotePciInfo_v2_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":27, please report a bug to PyTorch. nvmlDeviceGetComputeRunningProcessesr.nvmlDeviceGetComputeRunningProcesses_ INTERNAL ASSERT FAILED at "/vad-e2e/pytorch/c10/cuda/driver_api.cpp":27, please report a bug to PyTorch. 
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