关闭use_weight后报错
got prompt
!!! Exception during processing !!! 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, Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, 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:1163 [kernel]
Meta: registered at D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torchvision_meta_registrations.py:13 [kernel]
BackendSelect: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\BackendSelectFallbackKernel.cpp:3 [backend fallback]
Python: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:198 [backend fallback]
FuncTorchDynamicLayerBackMode: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\functorch\DynamicLayer.cpp:477 [backend fallback]
Functionalize: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\FunctionalizeFallbackKernel.cpp:384 [backend fallback]
Named: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\NamedRegistrations.cpp:5 [backend fallback]
Conjugate: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\ConjugateFallback.cpp:17 [backend fallback]
Negative: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback]
ZeroTensor: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\ZeroTensorFallback.cpp:115 [backend fallback]
ADInplaceOrView: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\VariableFallbackKernel.cpp:103 [backend fallback]
AutogradOther: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradCPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradCUDA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradHIP: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradXLA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradMPS: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradIPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradXPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradHPU: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradVE: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradLazy: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradMTIA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradMAIA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradPrivateUse1: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradPrivateUse2: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradPrivateUse3: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradMeta: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
AutogradNestedTensor: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autograd\deform_conv2d_kernel.cpp:258 [autograd kernel]
Tracer: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\torch\csrc\autograd\TraceTypeManual.cpp:296 [backend fallback]
AutocastCPU: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\autocast_mode.cpp:324 [backend fallback]
AutocastMTIA: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\autocast_mode.cpp:468 [backend fallback]
AutocastMAIA: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\autocast_mode.cpp:506 [backend fallback]
AutocastXPU: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\autocast_mode.cpp:544 [backend fallback]
AutocastMPS: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\autocast_mode.cpp:209 [backend fallback]
AutocastCUDA: registered at C:\actions-runner_work\vision\vision\pytorch\vision\torchvision\csrc\ops\autocast\deform_conv2d_kernel.cpp:48 [kernel]
FuncTorchBatched: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\functorch\LegacyBatchingRegistrations.cpp:727 [backend fallback]
BatchedNestedTensor: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\functorch\LegacyBatchingRegistrations.cpp:754 [backend fallback]
FuncTorchVmapMode: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\functorch\VmapModeRegistrations.cpp:22 [backend fallback]
Batched: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\LegacyBatchingRegistrations.cpp:1072 [backend fallback]
VmapMode: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\VmapModeRegistrations.cpp:32 [backend fallback]
FuncTorchGradWrapper: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\functorch\TensorWrapper.cpp:210 [backend fallback]
PythonTLSSnapshot: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:206 [backend fallback]
FuncTorchDynamicLayerFrontMode: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\functorch\DynamicLayer.cpp:473 [backend fallback]
PreDispatch: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:210 [backend fallback]
PythonDispatcher: registered at C:\actions-runner_work\pytorch\pytorch\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:202 [backend fallback]

Traceback (most recent call last):
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 527, in execute
output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 331, in get_output_data
return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 305, in _async_map_node_over_list
await process_inputs(input_dict, i)
File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 293, in process_inputs
result = f(**inputs)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnetNode.py", line 402, in rem_bg
return super().rem_bg(model, images)
~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnetNode.py", line 378, in rem_bg
masks = super().get_mask(model, images, width, height, upscale_method, mask_threshold)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnetNode.py", line 247, in get_mask
each_mask = model(each_image.unsqueeze(0).to(model_device_type, dtype=model_dtype))[-1].sigmoid().cpu().float()
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnet\models\birefnet.py", line 121, in forward
scaled_preds, class_preds = self.forward_ori(x)
~~~~~~~~~~~~~~~~^^^
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnet\models\birefnet.py", line 112, in forward_ori
x4 = self.squeeze_module(x4)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\container.py", line 253, in forward
input = module(input)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnet\models\modules\decoder_blocks.py", line 29, in forward
x = self.dec_att(x)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnet\models\modules\aspp.py", line 109, in forward
x1 = self.aspp1(x)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnet\models\modules\aspp.py", line 80, in forward
x = self.atrous_conv(x)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1776, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1787, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_BiRefNet_ll\birefnet\models\modules\deform_conv.py", line 57, in forward
x = deform_conv2d(
input=x,
...<5 lines>...
stride=self.stride,
)
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torchvision\ops\deform_conv.py", line 92, in deform_conv2d
return torch.ops.torchvision.deform_conv2d(
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
input,
^^^^^^
...<12 lines>...
use_mask,
^^^^^^^^^
)
^
File "D:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch_ops.py", line 1209, in call
return self._op(*args, **kwargs)
~~~~~~~~^^^^^^^^^^^^^^^^^
NotImplementedError: 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, Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].

Prompt executed in 2.39 seconds

python3.13+Pytorch 2.10.0+cu130使用BiRefNet_ll报错 #287

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