-
Notifications
You must be signed in to change notification settings - Fork 42
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
How many computing resources did you use to train the model? #10
Comments
Certainly, it can be trained on NVIDIA RTX 3090s. The batch size have to be adjusted accordingly. |
I would like to know the GPU numbers while training the model. I train a model with 2 Nvidia V100 and batch size = 1, but it still has the error "CUDA out of memory". |
Please note that the batch size here is for a batch on a single GPU. A V100 with 24GB memory can handle the training with a batch size of 1. |
Thank you very much. |
|
I would like to know if your model can be trained on Nvidia RTX 3090s?
The text was updated successfully, but these errors were encountered: