Fix ppu

[tastelikefeet]

PR type

• Bug Fix
• New Feature
• Document Updates
• More Models or Datasets Support

PR information

Write the detail information belongs to this PR.

Experiment results

Paste your experiment result here(if needed).

[gemini-code-assist]

Summary of Changes

Hello @tastelikefeet, 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 addresses compatibility and configuration for PPU (presumably a specific type of processing unit) environments. It introduces a mechanism to detect PPU hardware and apply necessary environment variable adjustments to ensure proper single-device execution. Furthermore, it explicitly disables multi-processing features when a PPU is detected, streamlining the setup and preventing potential conflicts in such specialized environments.

Highlights

• PPU Detection and Configuration: Introduced is_ppu() and fix_ppu() utilities to detect PPU environments and adjust CUDA_VISIBLE_DEVICES and LOCAL_RANK for single-device operation.
• CLI Integration: The fix_ppu() function is now called at the start of pt.py, rlhf.py, and sft.py CLI scripts to ensure PPU-specific environment setup.
• Multi-processing Compatibility: Modified the is_mp() function to explicitly disable multi-processing when running in a PPU environment, ensuring compatibility and preventing potential issues.

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 introduces a fix for PPU environments by adjusting CUDA_VISIBLE_DEVICES and LOCAL_RANK at script startup. The overall approach is sound, but there are several areas for improvement regarding code robustness and maintainability. I've identified duplicated code that should be consolidated and a lack of error handling around external process calls and environment variable access, which could lead to unexpected crashes. My review comments provide specific suggestions to address these issues.