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 stochastic rounding for FP32/BF16 -> FP8 conversion #2677

Closed
wants to merge 1 commit into from

Conversation

jianyuh
Copy link
Member

@jianyuh jianyuh commented Jun 4, 2024

Summary: Support stochastic rounding with assemble float algorithm when doing FP32/BF16 --> FP8 stochastic rounding conversions.

Differential Revision: D58061352

@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D58061352

Copy link

netlify bot commented Jun 4, 2024

Deploy Preview for pytorch-fbgemm-docs ready!

Name Link
🔨 Latest commit 6838800
🔍 Latest deploy log https://app.netlify.com/sites/pytorch-fbgemm-docs/deploys/666fe2ff0bc8790008cd1a85
😎 Deploy Preview https://deploy-preview-2677--pytorch-fbgemm-docs.netlify.app
📱 Preview on mobile
Toggle QR Code...

QR Code

Use your smartphone camera to open QR code link.

To edit notification comments on pull requests, go to your Netlify site configuration.

@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D58061352

jianyuh added a commit to jianyuh/FBGEMM that referenced this pull request Jun 7, 2024
…2677)

Summary:
Pull Request resolved: pytorch#2677

Support stochastic rounding with assemble float algorithm when doing FP32/BF16 --> FP8 stochastic rounding conversions.

Differential Revision: D58061352
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D58061352

jianyuh added a commit to jianyuh/FBGEMM that referenced this pull request Jun 7, 2024
…2677)

Summary:
Pull Request resolved: pytorch#2677

Support stochastic rounding with assemble float algorithm when doing FP32/BF16 --> FP8 stochastic rounding conversions.

Differential Revision: D58061352
…2677)

Summary:
Pull Request resolved: pytorch#2677

Support stochastic rounding with assemble float algorithm when doing FP32/BF16 --> FP8 stochastic rounding conversions.

Differential Revision: D58061352
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D58061352

@facebook-github-bot
Copy link
Contributor

This pull request has been merged in 74fc8d3.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

2 participants