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

Support for Depthwise Conv layer #100

Open
shivmgg opened this issue Oct 16, 2021 · 1 comment
Open

Support for Depthwise Conv layer #100

shivmgg opened this issue Oct 16, 2021 · 1 comment

Comments

@shivmgg
Copy link

shivmgg commented Oct 16, 2021

Hey,

Thanks for the amazing work! I would like to implement hardware-friendly DNNs like MobileNets, etc. I wanted to know if there is any upcoming support for depthwise conv layer? If no, may I know how can I add it?

@xyzsam
Copy link
Member

xyzsam commented Oct 16, 2021

I assume you want to model a hardware-accelerated block that runs depthwise convolutions. You will have to implement your own operator for this, which will require an accompanying Aladdin kernel. See https://harvard-acc.github.io/smaug_docs/add_python_operator.html for more details.

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