autoSegmentor error

[lucaspedrajas]

hello I have this error when trying the auto segmentation node

Sam2AutoSegmentation
Could not run 'torchvision::nms' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'torchvision::nms' is only available for these backends: [CPU, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMeta, Tracer, AutocastCPU, AutocastCUDA, FuncTorchBatched, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]. CPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\cpu\nms_kernel.cpp:112 [kernel] QuantizedCPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\quantized\cpu\qnms_kernel.cpp:124 [kernel] BackendSelect: fallthrough registered at ..\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback] Python: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:153 [backend fallback] FuncTorchDynamicLayerBackMode: registered at ..\aten\src\ATen\functorch\DynamicLayer.cpp:498 [backend fallback] Functionalize: registered at ..\aten\src\ATen\FunctionalizeFallbackKernel.cpp:290 [backend fallback] Named: registered at ..\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback] Conjugate: registered at ..\aten\src\ATen\ConjugateFallback.cpp:17 [backend fallback] Negative: registered at ..\aten\src\ATen\native\NegateFallback.cpp:19 [backend fallback] ZeroTensor: registered at ..\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback] ADInplaceOrView: fallthrough registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:86 [backend fallback] AutogradOther: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:53 [backend fallback] AutogradCPU: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:57 [backend fallback] AutogradCUDA: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:65 [backend fallback] AutogradXLA: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:69 [backend fallback] AutogradMPS: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:77 [backend fallback] AutogradXPU: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:61 [backend fallback] AutogradHPU: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:90 [backend fallback] AutogradLazy: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:73 [backend fallback] AutogradMeta: registered at ..\aten\src\ATen\core\VariableFallbackKernel.cpp:81 [backend fallback] Tracer: registered at ..\torch\csrc\autograd\TraceTypeManual.cpp:296 [backend fallback] AutocastCPU: fallthrough registered at ..\aten\src\ATen\autocast_mode.cpp:382 [backend fallback] AutocastCUDA: fallthrough registered at ..\aten\src\ATen\autocast_mode.cpp:249 [backend fallback] FuncTorchBatched: registered at ..\aten\src\ATen\functorch\LegacyBatchingRegistrations.cpp:710 [backend fallback] FuncTorchVmapMode: fallthrough registered at ..\aten\src\ATen\functorch\VmapModeRegistrations.cpp:28 [backend fallback] Batched: registered at ..\aten\src\ATen\LegacyBatchingRegistrations.cpp:1075 [backend fallback] VmapMode: fallthrough registered at ..\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback] FuncTorchGradWrapper: registered at ..\aten\src\ATen\functorch\TensorWrapper.cpp:203 [backend fallback] PythonTLSSnapshot: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:161 [backend fallback] FuncTorchDynamicLayerFrontMode: registered at ..\aten\src\ATen\functorch\DynamicLayer.cpp:494 [backend fallback] PreDispatch: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:165 [backend fallback] PythonDispatcher: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:157 [backend fallback]

[kijai]

What torch version? And do the other modes and nodes work?

[razvanphp]

I get another error, I'm selecting sam2_hiera_base_plus.safetensors model: