Skip to content

Adding multiweight support to Quantized ShuffleNetV2 #4856

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

Merged

Conversation

datumbox
Copy link
Contributor

@datumbox datumbox commented Nov 4, 2021

Fixes partially #4674

Verified with:

python -u train_quantization.py --test-only --weights ImageNet1K_FBGEMM_Community --model shufflenet_v2_x1_0 --device cpu

cc @bjuncek

@facebook-github-bot
Copy link

facebook-github-bot commented Nov 4, 2021

💊 CI failures summary and remediations

As of commit 1b0fcb7 (more details on the Dr. CI page):


💚 💚 Looks good so far! There are no failures yet. 💚 💚


This comment was automatically generated by Dr. CI (expand for details).

Please report bugs/suggestions to the (internal) Dr. CI Users group.

Click here to manually regenerate this comment.

@datumbox datumbox requested a review from jdsgomes November 4, 2021 12:33
Copy link
Contributor

@jdsgomes jdsgomes left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM! Thanks

@datumbox datumbox merged commit b47ea83 into pytorch:main Nov 4, 2021
@datumbox datumbox deleted the prototype/quantshufflenet_multiweight branch November 4, 2021 12:57
@datumbox datumbox linked an issue Nov 4, 2021 that may be closed by this pull request
6 tasks
facebook-github-bot pushed a commit that referenced this pull request Nov 8, 2021
Reviewed By: kazhang

Differential Revision: D32216690

fbshipit-source-id: ac0d033dc9957d71d4320fe33ad36ae8e3373a45
cyyever pushed a commit to cyyever/vision that referenced this pull request Nov 16, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Multi-pretrained weights: Add model builders for Quantization
3 participants