What is the minimum configuration for operation?
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num_rendered, color, depth, radii, geomBuffer, binningBuffer, imgBuffer = _C.rasterize_gaussians(*args)
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 506.54 GiB (GPU 0; 24.00 GiB total capacity; 5.73 GiB already allocated; 15.99 GiB free; 5.93 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\ws3-01\anaconda3\envs\lucid\lib\site-packages\gradio\queueing.py", line 493, in process_events
response = await self.call_prediction(awake_events, batch)
File "C:\Users\ws3-01\anaconda3\envs\lucid\lib\site-packages\gradio\queueing.py", line 464, in call_prediction
raise Exception(str(error) if show_error else None) from error
Exception: None
What is the minimum configuration for operation?
Or am I encountering other issues...