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

Re-organize the backward split code generation, pt.2 #1873

Closed
wants to merge 1 commit into from

Conversation

q10
Copy link
Contributor

@q10 q10 commented Jul 12, 2023

Summary:

  • Use Jinja macros to simplify code generation in embedding_backward_split_kernel_cta_template.cu and embedding_backward_split_kernel_warp_template.cu

  • Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

@netlify
Copy link

netlify bot commented Jul 12, 2023

Deploy Preview for pytorch-fbgemm-docs canceled.

Name Link
🔨 Latest commit 357d40b
🔍 Latest deploy log https://app.netlify.com/sites/pytorch-fbgemm-docs/deploys/64b08b716f77fb000851a43a

@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 12, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: a8f0fcb6a2dbf634c8ba70b8ecc24b6ca31bbb1a
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 12, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: 778aff8c5c593a2d0d2ec16deb36b56c3546b6ed
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: 9f40a36d39259f9a5baf888ae0fbd3b8a028e7d9
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: 1e38f77489bbd36ad3f93a0ca88daa77d334942a
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: ba6806af63d6913ab2bbfe191a87e3ced608467e
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: 906e4892e1d304e00174b1ee91021d0dda896df7
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: d9442f1d3b6810a227d586557a5a3587765ca2c4
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Differential Revision: D47385306

fbshipit-source-id: ed828eb421109407a8e923e1afa08fd431da4e39
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Reviewed By: sryap

Differential Revision: D47385306

fbshipit-source-id: 8f8b9c033466e2ad3585ef20f0aa897af7594ec1
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

q10 added a commit to q10/FBGEMM that referenced this pull request Jul 13, 2023
Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Reviewed By: sryap

Differential Revision: D47385306

fbshipit-source-id: 7fb6f02b900a0d1a82fd81b20e3abfcaad3a0e00
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

Summary:
Pull Request resolved: pytorch#1873

- Use Jinja macros to simplify code generation in `embedding_backward_split_kernel_cta_template.cu` and `embedding_backward_split_kernel_warp_template.cu`

- Update code generation of the kernel instantiations for the experimental optimizer cases

Reviewed By: sryap

Differential Revision: D47385306

fbshipit-source-id: 91c78e1857ea3996f9559f2c8c5f48e97ba2f1ac
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D47385306

@facebook-github-bot
Copy link
Contributor

This pull request has been merged in 9e24d2a.

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