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

Add option to skip float32 promotion when computing means and variances for normalization. #3873

Merged
merged 1 commit into from
Apr 23, 2024

Conversation

copybara-service[bot]
Copy link

Add option to skip float32 promotion when computing means and variances for normalization.

Currently flax.linen.normalization automatically computes means and standard deviations to float32 for numerical stability, especially for training. However; we would like to add an option to disable this, to enable the use of other compute dtypes like bfloat16 to decrease inference memory allocations.

Copy link

google-cla bot commented Apr 21, 2024

Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

For the most up to date status, view the checks section at the bottom of the pull request.

…es for normalization.

Currently `flax.linen.normalization` automatically computes means and standard deviations to float32 for numerical stability, especially for training. However; we would like to add an option to disable this, to enable the use of other compute dtypes like bfloat16 to decrease inference memory allocations.

PiperOrigin-RevId: 627207329
@copybara-service copybara-service bot merged commit 0310ac7 into main Apr 23, 2024
@copybara-service copybara-service bot deleted the test_626693232 branch April 23, 2024 00:37
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

Successfully merging this pull request may close these issues.

0 participants