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

train time #13

Open
mowangmodi opened this issue Oct 12, 2022 · 1 comment
Open

train time #13

mowangmodi opened this issue Oct 12, 2022 · 1 comment

Comments

@mowangmodi
Copy link

Hello, how long does it take you to train a model (such as brandenburg_gate), and what hardware configuration do you use for training?

@rover-xingyu
Copy link
Owner

We optimize all implementations for 600, 000 iterations with a batch size of 1024 on 4 A100s, where Ha-NeRF and NeRF-W take 20 and 18 hours respectively.
These models spend the same inference time once the appearance vector is given.
Ha-NeRF takes a few milliseconds to obtain the appearance vector from the CNN-based module, while NeRF-W needs minutes to optimize the vector.
Both methods require around 20 GB memory for training and 5 GB memory for inference.

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

2 participants