Open zhaojiancheng007 opened 2 months ago
Could you provide the running command? When I run the commands from the script, I do not have such a problem.
Hi ! here is my running script
for num_points in 1000 1500 2000 do CUDA_VISIBLE_DEVICES=0 python train.py -d $data_path \ --data_name beauty --model_name GaussianImage_RS --num_points $num_points --iterations 30000 --save_imgs done
This error occored kind of random, but more frequent when I tested gaussians Image using relatively high resolution data, for example 1920 x 960, or 1280 x 960.
This issue happens when you compile gsplat during first run (JIT). When I pip install gsplat by compiling CUDA libraries on installation, everything works for me. Maybe something to try out.
Has this issue been resolved? If so, how was it resolved?
Thanks for your great work; it's very interesting. When I was testing the code, I often encountered issues with illegal CUDA memory access during program execution. Have you encountered this problem? What could be causing this?" Thanks !
RuntimeError: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with
TORCH_USE_CUDA_DSA
to enable device-side assertions.