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.

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

CUDA out of memory #17

Open
PengCheng-NUDT opened this issue Nov 6, 2022 · 2 comments
Open

CUDA out of memory #17

PengCheng-NUDT opened this issue Nov 6, 2022 · 2 comments

Comments

@PengCheng-NUDT
Copy link

Thanks for your great job!

The se3-transformer is powerful, but seems to be memory exhaustive.

I built a model with the following parameters, and got "CUDA out of memory error" when I run it on the GPU(Nvidia V100 / 32G).

model = SE3Transformer(
dim = 20,
heads = 4,
depth = 2,
dim_head = 5,
num_degrees = 2,
valid_radius = 5
)

num_points = 512
feats = torch.randn(1, num_points, 20)
coors = torch.randn(1, num_points, 3)
mask = torch.ones(1, num_points).bool()

Does this error relate to the version of pytorch? and how can I fix it?

@puhuajiang
Copy link

puhuajiang commented Feb 25, 2023

Same problem, our GPU is A100/80G, but can not run the above code.

@tao840813
Copy link

tao840813 commented May 13, 2024

Same here, A100/40G Vram, (125 points, 20D features) seems to be the upper bound
May I ask you have found the solution yet?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants