Skip to content

[TPU] Update torch version to include paged attention kernel change #19706

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
merged 1 commit into from
Jun 17, 2025

Conversation

Chenyaaang
Copy link
Contributor

No description provided.

Copy link

👋 Hi! Thank you for contributing to the vLLM project.

💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels.

Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run fastcheck CI which starts running only a small and essential subset of CI tests to quickly catch errors. You can run other CI tests on top of those by going to your fastcheck build on Buildkite UI (linked in the PR checks section) and unblock them. If you do not have permission to unblock, ping simon-mo or khluu to add you in our Buildkite org.

Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging.

To run CI, PR reviewers can either: Add ready label to the PR or enable auto-merge.

🚀

Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

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

Summary of Changes

Hello @Chenyaaang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the core PyTorch and PyTorch/XLA dependencies within the requirements/tpu.txt file. The primary purpose of this version bump is to integrate a specific paged attention kernel change, ensuring that TPU-based operations leverage the latest optimizations and features available in the updated libraries.

Highlights

  • Dependency Updates: I've updated the torch, torchvision, and torch_xla dependencies in requirements/tpu.txt to version 2.8.0.dev20250615. This change is specifically intended to incorporate a paged attention kernel update for TPU environments.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in issue comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist is currently in preview and may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments to provide feedback.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution.

@mergify mergify bot added the ci/build label Jun 16, 2025
Copy link
Contributor

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

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

Code Review

This pull request updates PyTorch, TorchVision, and TorchXLA to newer development versions in the TPU requirements file to include paged attention kernel change. Ensure the stability of these new versions and their compatibility with other dependencies.

Comment on lines 23 to 25
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250615-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250615-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250615-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
Copy link
Contributor

Choose a reason for hiding this comment

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

high

Verify that the torch_xla version 2.8.0.dev20250615 is compatible with the underlying XLA compiler and libtpu versions in the base Docker image. Mismatches can lead to runtime errors.

torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp39-cp39-linux_x86_64.whl ; python_version == "3.9"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
torch==2.8.0.dev20250615
Copy link
Contributor

Choose a reason for hiding this comment

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

medium

Consider testing the stability of the torch version 2.8.0.dev20250615 and ensuring no regressions are introduced in the TPU environment, given that this is a development build.

torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp310-cp310-linux_x86_64.whl ; python_version == "3.10"
torch_xla[tpu, pallas] @ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.8.0.dev20250605-cp311-cp311-linux_x86_64.whl ; python_version == "3.11"
torch==2.8.0.dev20250615
torchvision==0.23.0.dev20250615
Copy link
Contributor

Choose a reason for hiding this comment

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

medium

Consider testing the stability of the torchvision version 0.23.0.dev20250615 and ensuring no regressions are introduced in the TPU environment, given that this is a development build.

@yaochengji yaochengji added tpu Related to Google TPUs ready ONLY add when PR is ready to merge/full CI is needed labels Jun 16, 2025
@mergify mergify bot removed the tpu Related to Google TPUs label Jun 16, 2025
Copy link
Collaborator

@yaochengji yaochengji left a comment

Choose a reason for hiding this comment

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

LGTM!

@yaochengji yaochengji enabled auto-merge (squash) June 16, 2025 21:10
@yaochengji yaochengji disabled auto-merge June 16, 2025 21:26
@Chenyaaang Chenyaaang marked this pull request as draft June 16, 2025 21:26
@Chenyaaang Chenyaaang force-pushed the update-requirement branch from ec04145 to d00eb38 Compare June 17, 2025 18:17
@Chenyaaang Chenyaaang marked this pull request as ready for review June 17, 2025 18:17
@yaochengji yaochengji enabled auto-merge (squash) June 17, 2025 19:27
@yaochengji yaochengji merged commit dac8cc4 into vllm-project:main Jun 17, 2025
48 checks passed
yeqcharlotte pushed a commit to yeqcharlotte/vllm that referenced this pull request Jun 22, 2025
minpeter pushed a commit to minpeter/vllm that referenced this pull request Jun 24, 2025
yangw-dev pushed a commit to yangw-dev/vllm that referenced this pull request Jun 24, 2025
gmarinho2 pushed a commit to gmarinho2/vllm that referenced this pull request Jun 26, 2025
xjpang pushed a commit to xjpang/vllm that referenced this pull request Jun 30, 2025
wseaton pushed a commit to wseaton/vllm that referenced this pull request Jun 30, 2025
avigny pushed a commit to avigny/vllm that referenced this pull request Jul 31, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
ci/build ready ONLY add when PR is ready to merge/full CI is needed
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants