-
-
Notifications
You must be signed in to change notification settings - Fork 7.1k
[CI/Build] drop support for Python 3.8 EOL #8464
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
Conversation
👋 Hi! Thank you for contributing to the vLLM project. 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 do one of these:
🚀 |
Do we have pyupgrade enabled in the settings for ruff? Would be great if we could use it to get rid of legacy code. |
I think we can update to latest ruff and use pyupgrade. But I feel like that introduce a lot of merge conflict for other higher priority PR. For these CI PR would probably be best to run before releasing a new version. What do you think? ps: I can add ruff tool, but won't run it if that works better. |
Currently we use yapf for formatting, and ruff only for linting. I think adding pyupgrade lint rules should not cause many changes to the code. |
OK, I stand corrected... maybe we can turn on just a subset of the rules ? |
In particular, f-string formatting seems to be responsible for most of the diffs, so try turning that off. |
yes, will revert 182d0d7 |
fwiw https://docs.astral.sh/ruff/rules/#pyupgrade-up we can exclude f-string format? |
Also are there any specific reason that we locked ruff to 0.1? it is pretty old? |
182d0d7
to
9419c00
Compare
Upgrading |
We can specify the rules to ignore inside the list in |
Since we might not want to drop Python 3.8 immediately, it's probably better to work on upgrading ruff first in another PR. |
Now that Python 3.8 has reached EOL, let's resume work on this. |
Heads up that PyTorch 2.5.0 has officially dropped Python 3.8 as well. Can you update this PR? (Probably easier to revert the non-CI/CD file changes and apply the linter on latest main) |
yep I will revisit this this weekend, sorry work and other stuff got caught up |
e85e6b7
to
b57c196
Compare
Oh I think I already push on my end |
Please fix the linter errors. There are also a couple places where we use |
This pull request has merge conflicts that must be resolved before it can be |
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
77fc7b4
to
efeffbb
Compare
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
cc @DarkLight1337 PTAL |
Please take a look at the doc failure.
And also this. |
Hmm I already remove all sys.version_info compat for |
How about |
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
hmm thats weird I thought I already fixed it, anw |
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
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.
Thanks for your hard work!
Signed-off-by: Aaron Pham <contact@aarnphm.xyz> Signed-off-by: Loc Huynh <jc1da.3011@gmail.com>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz> Signed-off-by: Sumit Dubey <sumit.dubey2@ibm.com>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz> Signed-off-by: LeiWang1999 <leiwang1999@outlook.com>
As Python 3.8 reaches EOL, this PR would be a starting point to remove potential code branch on 3.8 only.
I'm still working through all of the code, but this would be a starting point for CI.
Depends on #8469, and wait til PyTorch drop 3.8 support
PR Checklist (Click to Expand)
Thank you for your contribution to vLLM! Before submitting the pull request, please ensure the PR meets the following criteria. This helps vLLM maintain the code quality and improve the efficiency of the review process.
PR Title and Classification
Only specific types of PRs will be reviewed. The PR title is prefixed appropriately to indicate the type of change. Please use one of the following:
[Bugfix]
for bug fixes.[CI/Build]
for build or continuous integration improvements.[Doc]
for documentation fixes and improvements.[Model]
for adding a new model or improving an existing model. Model name should appear in the title.[Frontend]
For changes on the vLLM frontend (e.g., OpenAI API server,LLM
class, etc.)[Kernel]
for changes affecting CUDA kernels or other compute kernels.[Core]
for changes in the core vLLM logic (e.g.,LLMEngine
,AsyncLLMEngine
,Scheduler
, etc.)[Hardware][Vendor]
for hardware-specific changes. Vendor name should appear in the prefix (e.g.,[Hardware][AMD]
).[Misc]
for PRs that do not fit the above categories. Please use this sparingly.Note: If the PR spans more than one category, please include all relevant prefixes.
Code Quality
The PR need to meet the following code quality standards:
format.sh
to format your code.docs/source/
if the PR modifies the user-facing behaviors of vLLM. It helps vLLM user understand and utilize the new features or changes.Adding or changing kernels
Each custom kernel needs a schema and one or more implementations to be registered with PyTorch.
Tensors
require meta-functions. Meta-functions should be implemented and registered in python so that dynamic dims can be handled automatically. See above documents for a description of meta-functions.torch.libary.opcheck()
to test the function registration and meta-function for any registered ops. Seetests/kernels
for examples.Notes for Large Changes
Please keep the changes as concise as possible. For major architectural changes (>500 LOC excluding kernel/data/config/test), we would expect a GitHub issue (RFC) discussing the technical design and justification. Otherwise, we will tag it with
rfc-required
and might not go through the PR.What to Expect for the Reviews
The goal of the vLLM team is to be a transparent reviewing machine. We would like to make the review process transparent and efficient and make sure no contributor feel confused or frustrated. However, the vLLM team is small, so we need to prioritize some PRs over others. Here is what you can expect from the review process:
action-required
label on the PR if there are changes required. The contributor should address the comments and ping the reviewer to re-review the PR.Thank You
Finally, thank you for taking the time to read these guidelines and for your interest in contributing to vLLM. Your contributions make vLLM a great tool for everyone!