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xHlH|$(Ld$(LjgLHHkHD$`D$`Ld$PL$HD$PHD$XMH$LH$LL9LCHLD11I)nH'Tfo4$H$H@)t$pH$L9tH$HpjHSLHHD$xKmHD$0HL$8HHD$pH@HLpIEH$eMH E%H5H=-eHD$pHxHߋw ocHD$pHxHߋw oH$LfHD$pHxHߋw oH$LfHD$pHxHߋw xoiH$LSf3HD$pHxHߋw GoH$L"fHD$pHxHߋw oH$LeH$Le9H4HHH`HϐH魑HHّHHHHёHH驑H"H*HBHJH鏒H飒HHHHHIH鰐H1HMH钓HґH鞓H馓H鮓H鶓H龓HƓHƓHΓH֓HGH/H_HH7HDHOH'HOHOHWHДH锔H騔HДHؔHؔHH%H途H1HvH銕H钕HוHHHHHHHHŖHH(H遖H镖H魖HŖHfDUSHHܳtHH[]fDH-HڳHRmtHHcHH[]Hrf.fAWAVAUATUSHHHuOL$Ht$ Ld$0HLHT$(fHnHOfofoHfHnHNflH)L$fHnfl)$$aHuNf1$H$H$1f$HNHDŽ$xHhLpH}Hl$0LL7gHNfo$fL$)D$@H@)T$0H$HD$pHH$)D$P)D$`9mHNLHt$8D$xHL$HD$8HDŽ$Ƅ$XgHD$ H0H/HHt$ `Ht$ LHZeHD$(H0H)HHt$ `Ht$ LH,eLD$`HCHCHCM HD$PLHL$XHL9LCHLD11I)QhHzMfol$H$H@)l$0H$L9tH$HpdHLH<$HHD$8fHEHl$0LLt0H|LHH$S_HĸH[]A\A]A^A_fDHD$0HxLw QiHD$(H0HHD$0HxLw )i@H$H` H HHdLc^HkiHHDHLH$HHD$8dHKH<$HHD$8eHEHl$0Lt0H~KLHH$R^HhHHbasic_string: construction from null is not validIndex out of bounds in ConfigTokenizeri < config_.size() INTERNAL ASSERT FAILED at "/pytorch/c10/core/AllocatorConfig.h":126, please report a bug to PyTorch. /pytorch/c10/core/AllocatorConfig.hper_process_memory_fraction is invalid, set it in [0.0, 1.0]/pytorch/c10/cuda/CUDAAllocatorConfig.cppPinned reserve segment size has to be greater than 0i < config_.size() INTERNAL ASSERT FAILED at "/pytorch/c10/core/AllocatorConfig.h":57, please report a bug to PyTorch. Unknown allocator backend, options are native and cudaMallocAsyncAllocator backend parsed at runtime != allocator backend parsed at load time, tokenizer[i] == get()->name() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAAllocatorConfig.cpp":44, please report a bug to PyTorch. backend:cudaMallocAsync requires CUDA runtime 11.4 or newer, but cudaDriverGetVersion returned Expected 'True' or 'False' at index Number of register threads has to be power of 2, got Number of register threads should be less than or equal to pinned_reserve_segment_size_mbgraph_capture_record_stream_reuseExpected closing bracket ']' in ConfigTokenizer but reached end of configi < config_.size() INTERNAL ASSERT FAILED at "/pytorch/c10/core/AllocatorConfig.h":117, please report a bug to PyTorch. backend:cudaMallocAsync ignores max_split_size_mb,roundup_power2_divisions, and garbage_collect_threshold.checkIndexstodparsePerProcessMemoryFractionstoullparsePinnedReserveSegmentSizeoperator[]nativecudaMallocAsyncparseAllocatorConfig != False in ConfigTokenizer but got 'toBoolparsePinnedNumRegisterThreads, got backendrelease_lock_on_hipmallocrelease_lock_on_cudamallocpinned_use_hip_host_registerpinned_use_cuda_host_registerpinned_num_register_threads' in CUDA allocator config.Unrecognized key 'parseArgsskipKeyper_process_memory_fractionPYTORCH_CUDA_ALLOC_CONFPYTORCH_ALLOC_CONFvector::_M_realloc_insert' found in device-specific configuration parser hook registrationregisterDeviceConfigParserHookDuplicated key 'N3c1010ValueErrorE*N3c104cuda20CUDACachingAllocator12_GLOBAL__N_1L44g_device_config_parse_hook_registry_instanceMUlRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEE_E:?Cmax_split_size_mmax_non_split_roplit_rounding_mbgarbage_collectiection_thresholdroundup_power2_dexpandable_segmepinned_use_backgckground_threadsrelease_lock_on_ck_on_cudamallocpinned_use_cuda_da_host_registerock_on_hipmallocpinned_use_hip_hip_host_registergraph_capture_record_stream_reuspinned_reserve_s_segment_size_mbpinned_num_regisregister_threadsper_process_memo_memory_fractionbad optional accessBackend doesn't support getting device capabilities./pytorch/c10/core/impl/DeviceGuardImplInterface.hgetDeviceCapability/pytorch/c10/cuda/impl/CUDAGuardImpl.hisHistoryEnabled/pytorch/c10/cuda/CUDACachingAllocator.cppBoth events must be recorded before calculating elapsed time.elapsedTimesynchronizeDevicesynchronizeEventExpected 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.)/pytorch/c10/cuda/CUDAStream.hCUDAStreamPYTORCH_NO_CUDA_MEMORY_CACHINGdst->is_split() && src->is_split() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2978, please report a bug to PyTorch. vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)CUDA driver error: unknown errorstd::get: wrong index for variantcannot create std::vector larger than max_size()0 <= device INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":920, please report a bug to PyTorch. device < static_cast(pools_.size()) INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":921, please report a bug to PyTorch. cannot create std::deque larger than max_size()it != ipcMemHandle_to_devptr.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":4460, please report a bug to PyTorch. !block->allocated && block->event_count == 0 && block->stream_uses.empty() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2897, please report a bug to PyTorch. inserted INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2932, please report a bug to PyTorch. params.err == cudaSuccess && params.block != nullptr && params.block->ptr != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1618, please report a bug to PyTorch. pytorch.CUDACachingAllocator.allocated_bytesbefore->next == after INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":240, please report a bug to PyTorch. after->prev == before INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":245, please report a bug to PyTorch. pytorch.CUDACachingAllocator.reserved_bytesblock->pool->owner_PrivatePool->cudaMalloc_count > 0 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3528, please report a bug to PyTorch. captures_underway.empty() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3583, please report a bug to PyTorch. info.status != cudaStreamCaptureStatusInvalidated INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1735, please report a bug to PyTorch. All streams in the same capture should agree on the graphinfo.graph == owning_graph INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1761, please report a bug to PyTorch. !block->expandable_segment_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3428, please report a bug to PyTorch. pool->owner_PrivatePool->cudaMalloc_count > 0 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3451, please report a bug to PyTorch. block->size == block->expandable_segment_->size() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3410, please report a bug to PyTorch. !block->mapped INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3413, please report a bug to PyTorch. it != expandable_segments_.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3418, please report a bug to PyTorch. PYTORCH_NO_HIP_MEMORY_CACHINGuncached_deletetry_merge_blocks~ExpandableSegmentCUDA driver error: unmapHandlesmapAndSetAccesssetAccessinsert_eventsgetoperator()clearfree_blockalloc_found_blockspliceunmap_blocksynchronize_and_free_eventsstream_get_capture_infoInvalid stream capture statusrelease_blockblock disagrees with segmentrelease_expandable_segmentcopy_dataqueryEventsetUserMetadatagetUserMetadatavector::_M_range_insertcacheInfopopCompileContextit != graph_pools.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2739, please report a bug to PyTorch. uc >= 0 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2631, please report a bug to PyTorch. inserted INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2637, please report a bug to PyTorch. get_private_poolreleasePoolExpected a CUDA device, but got setDeviceinvalid fraction:. Please set within [0, 1].setMemoryFraction bytes KiB MiB GiBexchangeDeviceInvalid device argument : did you call init?assertValidDeviceit->second->use_count > 0 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2731, please report a bug to PyTorch. allocator == nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2732, please report a bug to PyTorch. create_or_incref_poolAllocator not initialized for device 0 <= device && static_cast(device) < device_allocator.size() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3913, please report a bug to PyTorch. getMemoryFractionEvent device index recordcreateEvent does not match recording stream's device index CUDA event received unknown flagPyTorch is not linked with support for devicesgetDeviceGuardImplstream_synchronize/pytorch/c10/cuda/CUDAFunctions.hquerygetMemoryInfo/pytorch/c10/cuda/CUDACachingAllocator.hdestroyEventCUDA warning: uncheckedSetDevice~CUDAStreamCaptureModeGuard/pytorch/c10/cuda/CUDAGraphsC10Utils.hshareIpcHandleshareshareable_handle is nulluse posix fd to share expandable segments.use fabric handle to share expandable segments.ptr() + begin * segment_size_ == range.ptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":394, please report a bug to PyTorch. !handles_.at(i) INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":419, please report a bug to PyTorch. TORCH_CUDA_EXPANDABLE_SEGMENTS_IPCcurrentStreamCaptureStatusMayInitCtx does not yet support recordHistory. If you need it, please file an issue describing your use case. does not yet support checkPoolLiveAllocations. If you need it, please file an issue describing your use case.checkPoolLiveAllocations does not yet support setNoSplit. If you need it, please file an issue describing your use case.setNoSplit does not yet support setUseOnOOM. If you need it, please file an issue describing your use case.setUseOnOOM does not yet support createOrIncrefPool. If you need it, please file an issue describing your use case.createOrIncrefPool does not yet support getPoolUseCount. If you need it, please file an issue describing your use case.getPoolUseCountCUDAGuardImpl initialized with non-CUDA DeviceType: CUDAGuardImplCould not find pool of idpool != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1340, please report a bug to PyTorch. b != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1345, please report a bug to PyTorch. b->pool != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1346, 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')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.)recordHistoryenablePeerAccessvector::_M_default_append0 <= device && static_cast(device) < device_allocator.size() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3932, please report a bug to PyTorch. getExpandableSegmentSizesbeginAllocateToPool: already recording to mempool_idbeginAllocateToPoolDeviceCachingAllocatorvector::reservepushCompileContext!to_map->mapped && size <= to_map->size INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2795, please report a bug to PyTorch. !to_map->context_when_allocated INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2796, please report a bug to PyTorch. mapped_range.ptr == to_map->ptr && mapped_range.size >= size INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2805, please report a bug to PyTorch. try_allocate_expandable_blockcandidate->mapped INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2876, please report a bug to PyTorch. alloc_blockFailed to acquire lock after cudaMallocp.block != nullptr && p.block->ptr != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3299, please report a bug to PyTorch. recordAnnotation!block->stream_uses.empty() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3660, please report a bug to PyTorch. insert_events_deferred_until_no_captureprocess_eventsNo allocated block can be foundblock != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":4077, please report a bug to PyTorch. recordStreamEvents should have synchronized when checkpointing blockBlockStatehead->prev == nullptr && head->pool != nullptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1018, please report a bug to PyTorch. SegmentStateNot expected to checkpoint freeable graphgetCheckpointStatefreepool INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":231, please report a bug to PyTorch. gc_countit->second->use_count == 0 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3394, please report a bug to PyTorch. erase_count == 1 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3399, please report a bug to PyTorch. release_cached_blocksExpected PrivatePoolStatesetCheckpointPoolStatefreeBlocksAllocatedToPool could not find setSegmentStateToCheckpointCould not find private pool idEvents should have synchronized when setting checkpointed blockExpected !curr->allocated to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)block->pool INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2240, please report a bug to PyTorch. Expected curr_block->next == nullptr to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected !curr_block->mapped to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected curr_block->allocated == false to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)Expected 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 "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2305, 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.)Could not find memory pool id for capture.found INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1893, please report a bug to PyTorch. Could not find graph pool for capture.graph_pool != graph_pools.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1883, please report a bug to PyTorch. free_safe_blocks_in_captureentry in cache has missing shared_ptrdevptr INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":4445, please report a bug to PyTorch. received sharable handle from a future version of torch that this version does not know how to handleThe kernel on this machine does not support the pidfd_open syscall needed to use IPC for CUDA tensors when expandable_segments:True is set. Consider using expandable_segments:False via torch.cuda.memory._set_allocator_settings('expandable_segments:False') for this allocation.The kernel on this machine does not support the pidfd_getfd syscall needed to use IPC for CUDA tensors when expandable_segments:True is set. Consider using expandable_segments:False via torch.cuda.memory._set_allocator_settings('expandable_segments:False') for this allocation.use posix fd to import expandable segments.use fabric handle to import expandable segments.unexpected or illformed shareable handle typefalse INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":4401, please report a bug to PyTorch. getIpcDevPtrMemHandleCacheEntryfromSharedpidfd_open:pidfd_getfd: This stream should not be capturing when the capture is endedstream_get_capture_info(stream).status == cudaStreamCaptureStatusNone INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":2597, please report a bug to PyTorch. endAllocatePool: not currently recording to mempool_idendAllocateToPoolit1 != graph_pools.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3016, please report a bug to PyTorch. params.err == cudaErrorMemoryAllocation INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1482, please report a bug to PyTorch. NVML_SUCCESS == DriverAPI::get()->nvmlInit_v2_() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1124, please report a bug to PyTorch. NVML_SUCCESS == DriverAPI::get()->nvmlDeviceGetHandleByPciBusId_v2_( pci_id, &nvml_device) INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1139, please report a bug to PyTorch. NVML_SUCCESS == r INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":1154, please report a bug to PyTorch. Including non-PyTorch memory, this process allocated in private pools (e.g., CUDA Graphs), CUDA out of memory. Tried to allocate PYTORCH_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.get_pool allowed; %08X:%02X:%02X.0reportProcessMemoryInfoProcess has memory in use. with has a total capacity of . GPU and is allocated by PyTorch, Of the allocated memory is free. of which 0 <= device && static_cast(device) < device_allocator.size() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDACachingAllocator.cpp":3881, please report a bug to PyTorch. uncached_allocateraw_alloc_with_streamraw_allocCUDA out of memory. Tried to allocate more than 1EB memory.St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EEZN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocator12getIpcDevPtrENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEUlPvE_*St14default_deleteIN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_116PrivatePoolStateEE*N3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_116PrivatePoolStateE*ZN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_117ExpandableSegment7addPeerEaEUlmmE_*ZN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_117ExpandableSegmentD4EvEUlmmE_*ZN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_19EventPool3getEaEUlPP10CUevent_stE_*ZN3c104cuda20CUDACachingAllocator6Native22DeviceCachingAllocator6mallocEmP11CUstream_stEUlS5_E_*St19_Sp_counted_deleterIPN3c104cuda20CUDACachingAllocator6Native12_GLOBAL__N_116PrivatePoolStateESt14default_deleteIS5_ESaIvELN9__gnu_cxx12_Lock_policyE2EESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EESt19bad_optional_accessSt18bad_variant_accessN3c1016OutOfMemoryErrorEN3c104impl24DeviceGuardImplInterfaceEN3c104impl16VirtualGuardImplEN3c104cuda20CUDACachingAllocator14AllocatorStateEN3c104cuda20CUDACachingAllocator13CUDAAllocatorEN3c104cuda4impl13CUDAGuardImplEN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocatorEZN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocator8snapshotESt4pairIyyEEUlmE_St19_Sp_counted_deleterIPvZN3c104cuda20CUDACachingAllocator6Native22NativeCachingAllocator12getIpcDevPtrENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEUlS0_E_SaIvELN9__gnu_cxx12_Lock_policyE2EE?:;/5<'06!*=3%(17" +>9.4& )2$ 8-# ,???0CP?>>?PYTORCH_CUDA_DSA_STACKTRACINGPYTORCH_USE_CUDA_DSAdsa_get_device_count/pytorch/c10/cuda/CUDADeviceAssertionHost.cppCompile with `TORCH_USE_CUDA_DSA` to enable device-side assertioCUDA error: basic_string::append Device-side assertions were explicitly omitted for this error check; the error probably arose while initializing the DSA handlers.N3c1016AcceleratorErrorEShould never been calleddummyHasPrimaryContextdevice_synchronizewarn_or_error_on_syncdevice_count_implNo CUDA GPUs are availabledevice_count_ensure_non_zeroCUDA initialization: GetDevicecurrent_deviceset_deviceSetTargetDeviceMaybeExchangeDevice/pytorch/c10/cuda/CUDAFunctions.cpppytorch.wait_counter.cuda_device_synchronizecalled a synchronizing CUDA operationFound 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.aspx). 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.The NVIDIA driver on your system is too old (found version 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 Too many CUDA devices, DeviceIndex overflowedcount <= std::numeric_limits::max() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAFunctions.cpp":131, please report a bug to PyTorch. result <= std::numeric_limits::max() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAFunctions.cpp":112, please report a bug to PyTorch. cudaGetDevice returns invalid device tmp_device >= 0 && tmp_device <= std::numeric_limits::max() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAFunctions.cpp":234, please report a bug to PyTorch. device id must be non-negative!tmp_cur_device >= 0 && tmp_cur_device <= std::numeric_limits::max() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAFunctions.cpp":289, please report a bug to PyTorch. cudaMallocAsync does not yet support setCheckpointPoolState. If you need it, please file an issue describing your use case./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.cudaMallocAsync does not yet support shareIpcHandle. 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.)snapshotCUDAMallocAsyncAllocator does not yet support getExpandableSegmentSizes.capture_free_streams.empty() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":803, 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 "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":605, please report a bug to PyTorch. vector::_M_fill_insertInvalid device argument.resetAccumulatedStatsFor backend:cudaMallocAsync, resetAccumulatedStats has no effect.it != ptr_info.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":625, 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.free_implsync_rawlazy_init_deviceInvalid device index mallocAsync Free (according to CUDA): Device limit : Requested : Currently allocated : Allocation on device freeAsyncdummy_unifying_free_stream.device == creation_stream.device INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":225, please report a bug to PyTorch. 0 <= device && device < device_count INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":320, please report a bug to PyTorch. it != ptr_info.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":338, please report a bug to PyTorch. PyTorch limit (set by user-supplied memory fraction) : would exceed allowed memory. (out of memory)address returned by cudaMallocAsync already exists in ptr_infoinserted.second INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":391, please report a bug to PyTorch. it != ptr_info.end() INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":277, 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.emptyCachegetDeviceStatsCudaMallocAsync::notifyCaptureAboutToEnd called, but CudaMallocAsync::capture_underway is false.CudaMallocAsync::notifyCaptureEnded called, but CudaMallocAsync::capture_underway is false.resetPeakStatsfree_upper_bound + pytorch_used_bytes[device] <= device_total INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":566, please report a bug to PyTorch. . Please set within (0, 1).0 <= fraction && fraction <= 1 INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/CUDAMallocAsyncAllocator.cpp":466, please report a bug to PyTorch. N3c104cuda20CUDACachingAllocator15CudaMallocAsync24CudaMallocAsyncAllocatorE GPU device may be out of range, do you have enough GPUs?' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 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=1 Search for `CUDA_LAUNCH_BLOCKINGNumber of CUDA devices on the machine is larger than the compiled max number of gpus expected (). Increase that and recompile./pytorch/c10/cuda/CUDAStream.cpp (I didn't recognize the stream type, initGlobalStreamStateDevice index value is out of index range [0, check_gpuinvalid StreamIdstreamIdTypeUnrecognized stream PRIORITY with the value initSingleStreamc10_cuda_test/pytorch/c10/cuda/impl/CUDATest.cpp/pytorch/c10/cuda/driver_api.cppr.cuDeviceGetAttribute_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemAddressReserve_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemRelease_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemMap_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemAddressFree_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemSetAccess_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemUnmap_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemCreate_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemGetAllocationGranularity_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemExportToShareableHandle_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. cuMemImportFromShareableHandler.cuMemImportFromShareableHandle_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuMemsetD32Async_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuStreamWriteValue32_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.cuGetErrorString_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":22, please report a bug to PyTorch. r.nvmlInit_v2_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":37, please report a bug to PyTorch. nvmlDeviceGetHandleByPciBusId_v2r.nvmlDeviceGetHandleByPciBusId_v2_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":37, please report a bug to PyTorch. nvmlDeviceGetNvLinkRemoteDeviceTyper.nvmlDeviceGetNvLinkRemoteDeviceType_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":37, please report a bug to PyTorch. nvmlDeviceGetNvLinkRemotePciInfo_v2r.nvmlDeviceGetNvLinkRemotePciInfo_v2_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":37, please report a bug to PyTorch. nvmlDeviceGetComputeRunningProcessesr.nvmlDeviceGetComputeRunningProcesses_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":37, please report a bug to PyTorch. nvmlSystemGetCudaDriverVersion_v2r.nvmlSystemGetCudaDriverVersion_v2_ INTERNAL ASSERT FAILED at "/pytorch/c10/cuda/driver_api.cpp":37, please report a bug to PyTorch. 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