You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi @pureexe, thanks for your great work, but when I trained on m own datasets for a while, I got a Cuda error, when I change to train on only one GPU, it can train for a longer time, but can also trigger this error
the error messages like below:
train.py in forward cof=pt.repeat_interleave(cof,args.sublayers,0)
runtimeerror: an illegal memory access was encountered
But when I use the demo-room datasets to train, it seems the training phase is normal. I use the colmap to preprocess the datasets and get the hwf_cxxy.txt and poses_bounds.npy using the scripts you provided.
btw, when train on my own datasets, how to set the plane.txt? hope you can give some advice, thanks~
The text was updated successfully, but these errors were encountered:
my GPU is TITAN X,Cuda version is 10.1,drive version is 418.56,torch1.4.0. it seems that this error is related to my environment, but since trying to reinstall all the dependence is complex, I will try to debug this error and see if there are other ways to solve it, thanks~
Hi @pureexe, thanks for your great work, but when I trained on m own datasets for a while, I got a Cuda error, when I change to train on only one GPU, it can train for a longer time, but can also trigger this error
the error messages like below:
train.py in forward
cof=pt.repeat_interleave(cof,args.sublayers,0)
runtimeerror: an illegal memory access was encountered
But when I use the demo-room datasets to train, it seems the training phase is normal. I use the colmap to preprocess the datasets and get the hwf_cxxy.txt and poses_bounds.npy using the scripts you provided.
btw, when train on my own datasets, how to set the plane.txt? hope you can give some advice, thanks~
The text was updated successfully, but these errors were encountered: