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Loads SAM model: E:\DEV\ComfyUI_windows_portable\ComfyUI\models\sams\sam_vit_h_4b8939.pth (device:AUTO)
final text_encoder_type: bert-base-uncased
!!! Exception during processing !!!
Traceback (most recent call last):
File "E:\DEV\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "E:\DEV\ComfyUI_windows_portable\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "E:\DEV\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "E:\DEV\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_segment_anything\node.py", line 325, in main
(images, masks) = sam_segment(
File "E:\DEV\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_segment_anything\node.py", line 247, in sam_segment
masks, _, _ = predictor.predict_torch(
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\DEV\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui_segment_anything\sam_hq\predictor.py", line 114, in predict_torch
sparse_embeddings, dense_embeddings = self.model.prompt_encoder(
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\segment_anything\modeling\prompt_encoder.py", line 158, in forward
box_embeddings = self._embed_boxes(boxes)
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\segment_anything\modeling\prompt_encoder.py", line 97, in _embed_boxes
corner_embedding = self.pe_layer.forward_with_coords(coords, self.input_image_size)
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\segment_anything\modeling\prompt_encoder.py", line 214, in forward_with_coords
return self._pe_encoding(coords.to(torch.float)) # B x N x C
File "E:\DEV\ComfyUI_windows_portable\python_embeded\lib\site-packages\segment_anything\modeling\prompt_encoder.py", line 189, in _pe_encoding
coords = coords @ self.positional_encoding_gaussian_matrix
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument mat2 in method `wrapper_CUDA_mm)
Any suggestion for this?
The text was updated successfully, but these errors were encountered:
xllusion-dong
changed the title
RuntimeError: Expected all tensors to be on the same device
RuntimeError: Expected all tensors to be on the same device but found at least two devices, cuda:0 and cpu!
Apr 23, 2024
the full error output like following
Any suggestion for this?
The text was updated successfully, but these errors were encountered: