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

Questions about CotLayer's parameters and computational complexity #18

Open
dangf15 opened this issue Dec 2, 2021 · 1 comment
Open

Questions about CotLayer's parameters and computational complexity #18

dangf15 opened this issue Dec 2, 2021 · 1 comment

Comments

@dangf15
Copy link

dangf15 commented Dec 2, 2021

Thank you for the open-source code. Do you have a comparison of the parametric size of conv2d and cotlayer when the kernel size are the same? How do you calculate the number of parameters and MACs of the local conv in cotlyaer?
Looking forward to your reply！
@YehLi
Copy link
Collaborator

YehLi commented Dec 14, 2021

The kernel sizes of conv2d and cotlayer are both 3*3. You can refer to Table 6 for the comparison. The parameters and flops are calculated by utils/flops_counter.py (get_model_complexity_info).

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
2 participants
@YehLi @dangf15