Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

When running 3dgs on a machine with multiple graphics cards, it reports memory at dist2 = torch.clamp_min(distCUDA2(torch.from_numpy(np.asarray(pcd.points)).float().cuda()), 0.0000001) # (P,) #1180

Open
p-z-p opened this issue Mar 5, 2025 · 0 comments
Open

When running 3dgs on a machine with multiple graphics cards, it reports memory at dist2 = torch.clamp_min(distCUDA2(torch.from_numpy(np.asarray(pcd.points)).float().cuda()), 0.0000001) # (P,) #1180

p-z-p opened this issue Mar 5, 2025 · 0 comments

Comments

@p-z-p
Copy link

p-z-p commented Mar 5, 2025

Image
You can see that the memory is only used for a very small portion, and there is no problem running the same data on a single gpu machine, why is that?
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@p-z-p