-
Notifications
You must be signed in to change notification settings - Fork 832
fix vllm embedding #5413
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
fix vllm embedding #5413
Conversation
There was a problem hiding this 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 @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 a bug related to VLLM embedding functionality. The core change involves enhancing the robustness of how PoolingParams
are initialized within the VLLM inference engine, specifically for embedding tasks. By implementing a try-except
block, the system can now adapt to different vllm
library versions or API specifications, ensuring that embedding requests are processed correctly whether the task
argument is supported or not. This fix aims to improve the stability and compatibility of the VLLM embedding pipeline.
Highlights
- Robust
PoolingParams
Instantiation: The_add_request
method, specifically when handlingembedding
task types, now attempts to instantiatevllm.pooling_params.PoolingParams
withtask='embed'
. - Error Handling for
PoolingParams
: Atry-except TypeError
block has been added around thePoolingParams
instantiation. If passingtask='embed'
raises aTypeError
(e.g., due to an oldervllm
version not supporting this argument), it gracefully falls back to instantiatingPoolingParams()
without arguments.
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 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
-
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. ↩
There was a problem hiding this 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 addresses a bug in vLLM embedding by handling different versions of PoolingParams
for backward compatibility. The current implementation uses a try-except
block. While functional, I've suggested an alternative approach using inspect.signature
to check for parameter existence, which is more explicit and consistent with the coding style in other parts of the file. This will improve code clarity and maintainability.
try: | ||
pooling_params = PoolingParams(task='embed') | ||
except TypeError: | ||
pooling_params = PoolingParams() |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
While using a try-except
block for version compatibility is a valid approach (EAFP), it can sometimes obscure the programmer's intent and potentially catch unrelated TypeError
exceptions. A more explicit and arguably cleaner method, which is already used elsewhere in this file for checking API capabilities, is to use inspect.signature
. This directly checks if the PoolingParams
constructor accepts the task
argument, making the code more readable and robust against unexpected errors.
try: | |
pooling_params = PoolingParams(task='embed') | |
except TypeError: | |
pooling_params = PoolingParams() | |
parameters = inspect.signature(PoolingParams).parameters | |
if 'task' in parameters: | |
pooling_params = PoolingParams(task='embed') | |
else: | |
pooling_params = PoolingParams() |
PR type
PR information
Write the detail information belongs to this PR.
Experiment results
Paste your experiment result here(if needed).