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

Training times for SLak t Mask R-CNN on COCO #20

Open
JohannesTheo opened this issue Jan 25, 2025 · 0 comments
Open

Training times for SLak t Mask R-CNN on COCO #20

JohannesTheo opened this issue Jan 25, 2025 · 0 comments

Comments

@JohannesTheo
Copy link

Hey there, thanks for the great work!

I'm in the process of re-training slack t Mask R-CNN on COCO so that I can run some additional evaluations for every epoch.

Everything works fine so far but I was wondering if you are aware of any tricks to speed up training and inference?

I've seen this discussion where they mention that depthwise_conv2d_implicit_gemm only excels torch.nn.Conv2d for large batch size. Since we use small batch sizes in detection, can you confirm this or maybe recall how long the 1x schedule of Mask R-CNN took, roughly?

Would be great if you could share some times so I can verify everything works as expected and I did't introduce a bottleneck 😅

Thanks and best,
Johannes

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

1 participant