Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. #13
Description
Error occurred when executing BiRefNet:
Could not run 'torchvision::deform_conv2d' 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::deform_conv2d' is only available for these backends: [CPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, 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\deform_conv2d_kernel.cpp:1162 [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 C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradCUDA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHIP: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXLA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMPS: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradIPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradXPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradHPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradVE: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradLazy: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMTIA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse1: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse2: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradPrivateUse3: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradMeta: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
AutogradNestedTensor: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:256 [autograd kernel]
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]
File "C:\ComfyUI\ComfyUI\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\ComfyUI\ComfyUI\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\ComfyUI\ComfyUI\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\BiRefNet_node.py", line 110, in matting
scaled_preds = self.model(inputs)[-1].sigmoid()
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\models\baseline.py", line 140, in forward
scaled_preds, class_preds = self.forward_ori(x)
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\models\baseline.py", line 113, in forward_ori
x4 = self.squeeze_module(x4)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\container.py", line 215, in forward
input = module(input)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\models\modules\decoder_blocks.py", line 30, in forward
x = self.dec_att(x)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\models\modules\aspp.py", line 152, in forward
x1 = self.aspp1(x)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\models\modules\aspp.py", line 123, in forward
x = self.atrous_conv(x)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\ComfyUI\ComfyUI\ComfyUI\custom_nodes\ComfyUI-BiRefNet\models\modules\deform_conv.py", line 57, in forward
x = deform_conv2d(
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torchvision\ops\deform_conv.py", line 92, in deform_conv2d
return torch.ops.torchvision.deform_conv2d(
File "C:\Users\xigua.conda\envs\ComfyUI\lib\site-packages\torch_ops.py", line 692, in call
return self._op(*args, **kwargs or {})�