Tiny simplify can_run_dp_cuda_graph gather logic

[hnyls2002]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @hnyls2002, 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 introduces minor simplifications to the logic that determines whether a CUDA graph can be run for data parallelism. By refactoring conditional assignments into single boolean expressions and integrating a disabling flag directly into the calculation, the changes enhance code clarity and maintainability in the scheduler_dp_attn_mixin.py file.

Highlights

• Simplified Logic: The conditional assignment for can_cuda_graph has been refactored into a single, more concise boolean expression.
• Integrated disable_cuda_graph: The disable_cuda_graph flag is now directly incorporated into the can_cuda_graph calculation, streamlining the logic.
• Removed Redundant Check: An unnecessary if condition around the assignment of local_batch.can_run_dp_cuda_graph has been removed, as the disable_cuda_graph check is now handled earlier.

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 by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

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 pull request 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 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. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

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. ↩

[gemini-code-assist]

Code Review

This pull request simplifies the logic for determining if a CUDA graph can be used for DP attention. The change refactors an if/else block into a more concise boolean expression and moves the disable_cuda_graph check to an earlier point in the logic. This makes the code cleaner and more readable without changing the underlying functionality. The changes are correct and a good improvement.