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[Misc][Tools][Benchmark] Add readme file for auto_tune script #20779

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merged 2 commits into from
Jul 19, 2025

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Chenyaaang
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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 significantly enhances the clarity and organization of the auto_tune benchmarking script. It introduces a dedicated README.md to serve as the primary source of documentation, while simultaneously refactoring the script's location and simplifying its internal comments for better maintainability.

Highlights

  • Documentation Improvement: Added a comprehensive README.md file for the auto_tune script, providing detailed instructions on its purpose, prerequisites, configuration, usage examples, output interpretation, and how it internally functions.
  • Code Organization: The auto_tune.sh script has been moved into a new dedicated directory (benchmarks/auto_tune/) to improve project structure and maintainability.
  • Script Readability: Extensive inline commented instructions within auto_tune.sh have been removed and replaced with a concise reference to the newly added README.md, making the script itself cleaner and easier to read.
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@Chenyaaang
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@bvrockwell

@mergify mergify bot added the performance Performance-related issues label Jul 10, 2025
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Code Review

The code changes introduce a README.md file for the auto_tune script, enhancing its usability. The script's internal comments have been cleaned up, and it has been moved to a dedicated directory along with its new documentation. The review focuses on improving the clarity and correctness of the new README.md file.

@Chenyaaang Chenyaaang force-pushed the autotune-readme branch 3 times, most recently from aecace2 to 1c39143 Compare July 14, 2025 19:03
@bvrockwell
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This is awesome @Chenyaaang, thank you for adding this!

Do you think it would be a good idea to add "most model length" env var referenced here? Although I don't think this is the only place we should add it, I certainly think it could be useful to have a short snippet explaining what it is here and when to use it.

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This is awesome @Chenyaaang, thank you for adding this!

Do you think it would be a good idea to add "most model length" env var referenced here? Although I don't think this is the only place we should add it, I certainly think it could be useful to have a short snippet explaining what it is here and when to use it.

Do you mean, for example user's max-model-len 32k, most-model-len 2k, then we start the server with most-model-len config, and when we send the benchmark, we only use 2k? because the benchmark script only generates input with 1 length.

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This is awesome @Chenyaaang, thank you for adding this!
Do you think it would be a good idea to add "most model length" env var referenced here? Although I don't think this is the only place we should add it, I certainly think it could be useful to have a short snippet explaining what it is here and when to use it.

Do you mean, for example user's max-model-len 32k, most-model-len 2k, then we start the server with most-model-len config, and when we send the benchmark, we only use 2k? because the benchmark script only generates input with 1 length.

yes exactly! We actually don't have it documented anywhere at the moment, so it may be nice to start referencing it in a few places in the docs (it can lead to a big improvement in performance, but no one knows about it!).

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@yaochengji is this ready to merge? thanks!

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Thanks for adding the doc! Left a nit.

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Chenyaaang commented Jul 16, 2025

This is awesome @Chenyaaang, thank you for adding this!
Do you think it would be a good idea to add "most model length" env var referenced here? Although I don't think this is the only place we should add it, I certainly think it could be useful to have a short snippet explaining what it is here and when to use it.

Do you mean, for example user's max-model-len 32k, most-model-len 2k, then we start the server with most-model-len config, and when we send the benchmark, we only use 2k? because the benchmark script only generates input with 1 length.

yes exactly! We actually don't have it documented anywhere at the moment, so it may be nice to start referencing it in a few places in the docs (it can lead to a big improvement in performance, but no one knows about it!).

So in this case to get the auto tune param, customers can just treat the input/output len for most-model-len as the INPUT_LEN and OUTPUT_LEN, since most-model-len is their main workload and that's what they are tuning on. What do you think I should add here?

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LGTM!

@yaochengji yaochengji enabled auto-merge (squash) July 16, 2025 18:29
@github-actions github-actions bot added the ready ONLY add when PR is ready to merge/full CI is needed label Jul 16, 2025
@bvrockwell
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This is awesome @Chenyaaang, thank you for adding this!
Do you think it would be a good idea to add "most model length" env var referenced here? Although I don't think this is the only place we should add it, I certainly think it could be useful to have a short snippet explaining what it is here and when to use it.

Do you mean, for example user's max-model-len 32k, most-model-len 2k, then we start the server with most-model-len config, and when we send the benchmark, we only use 2k? because the benchmark script only generates input with 1 length.

yes exactly! We actually don't have it documented anywhere at the moment, so it may be nice to start referencing it in a few places in the docs (it can lead to a big improvement in performance, but no one knows about it!).

So in this case to get the auto tune param, customers can just treat the input/output len for most-model-len as the INPUT_LEN and OUTPUT_LEN, since most-model-len is their main workload and that's what they are tuning on. What do you think I should add here?

maybe let's wait for the TPU Optimization Tips doc to be merged and we can cross reference these two.

auto-merge was automatically disabled July 18, 2025 17:43

Head branch was pushed to by a user without write access

Signed-off-by: Chenyaaang <chenyangli@google.com>

--amend

Signed-off-by: Chenyaaang <chenyangli@google.com>
Signed-off-by: Chenyaaang <chenyangli@google.com>
@yaochengji yaochengji enabled auto-merge (squash) July 18, 2025 22:51
@yaochengji yaochengji merged commit 3a2cb26 into vllm-project:main Jul 19, 2025
45 checks passed
hj-mistral pushed a commit to hj-mistral/vllm that referenced this pull request Jul 19, 2025
…roject#20779)

Signed-off-by: Chenyaaang <chenyangli@google.com>
Signed-off-by: Himanshu Jaju <hj@mistral.ai>
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3 participants