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

Can i implement a model that learns weights that fit the quantization step size? #50320

Closed
CloudZet opened this issue Jun 17, 2021 · 4 comments
Closed

Can i implement a model that learns weights that fit the quantization step size? #50320

CloudZet opened this issue Jun 17, 2021 · 4 comments
Assignees
@gowthamkpr
Labels
comp:lite TF Lite related issues stale This label marks the issue/pr stale - to be closed automatically if no activity stat:awaiting response Status - Awaiting response from author type:support Support issues

Comments

@CloudZet
Copy link

CloudZet commented Jun 17, 2021 •
edited
Loading

I want to make model what can train quantization weights. Is there such a way?

I already know how to take out the weights of the trained model,
quantize them in an external tool, and then load them again.

Thanks for reading this question and have a nice day
@saikumarchalla saikumarchalla added the type:support Support issues label Jun 19, 2021
@saikumarchalla saikumarchalla added the comp:lite TF Lite related issues label Jun 19, 2021
@jvishnuvardhan jvishnuvardhan added the stat:awaiting tensorflower Status - Awaiting response from tensorflower label Jun 24, 2021
@gowthamkpr gowthamkpr assigned gowthamkpr and unassigned ethkim Jun 11, 2022
@gowthamkpr
Copy link

@CloudZet Not sure if this is possible but I would recommend using quantization aware training. Here is an example. Thanks!

@gowthamkpr gowthamkpr added stat:awaiting response Status - Awaiting response from author and removed stat:awaiting tensorflower Status - Awaiting response from tensorflower labels Jun 11, 2022
@google-ml-butler
Copy link

This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.

@google-ml-butler google-ml-butler bot added the stale This label marks the issue/pr stale - to be closed automatically if no activity label Jun 18, 2022
@google-ml-butler
Copy link

Closing as stale. Please reopen if you'd like to work on this further.

@google-ml-butler
Copy link

Are you satisfied with the resolution of your issue?
Yes
No

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@gowthamkpr gowthamkpr

Labels
comp:lite TF Lite related issues stale This label marks the issue/pr stale - to be closed automatically if no activity stat:awaiting response Status - Awaiting response from author type:support Support issues
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
5 participants
@ethkim @jvishnuvardhan @gowthamkpr @saikumarchalla @CloudZet