Computer Vision: Depth, Normal, and Geometry:- GeoWizard

Traceback (most recent call last):
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\gradio\queueing.py", line 536, in process_events
response = await route_utils.call_process_api(
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\gradio\route_utils.py", line 285, in call_process_api
output = await app.get_blocks().process_api(
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\gradio\blocks.py", line 1923, in process_api
result = await self.call_function(
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\gradio\blocks.py", line 1508, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\gradio\utils.py", line 818, in wrapper
response = f(*args, **kwargs)
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\spaces.py", line 124, in wrapper
result = func(*args, **kwargs)
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\extensions-builtin\forge_space_geowizard\forge_app.py", line 84, in depth_normal
pipe_out = pipe(
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\extensions-builtin\forge_space_geowizard\geo_models\geowizard_pipeline.py", line 143, in call
for batch in iterable_bar:
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\tqdm\std.py", line 1182, in iter
for obj in iterable:
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\data\dataloader.py", line 631, in next
data = self._next_data()
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\data\dataloader.py", line 677, in _next_data
data = _utils.pin_memory.pin_memory(data, self._pin_memory_device)
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\data_utils\pin_memory.py", line 88, in pin_memory
clone[i] = pin_memory(item, device)
File "D:\DEV\AI-PROJECTS\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\data_utils\pin_memory.py", line 58, in pin_memory
return data.pin_memory(device)

RuntimeError: cannot pin 'torch.cuda.FloatTensor' only dense CPU tensors can be pinned

Start in extensions-builtin/forge_space_geowizard/forge_app.py at depth_normal and follow the call into geo_models/geowizard_pipeline.py at line 143. Reproduce the GeoWizard depth/normal operation and inspect the DataLoader path that reaches PyTorch pin_memory. Done means this operation completes without the reported CUDA tensor pinning error.