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[Misc] Add Next Edit Prediction (NEP) datasets support in benchmark_serving.py
#16839
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[Misc] Add Next Edit Prediction (NEP) datasets support in benchmark_serving.py
#16839
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We started moving these benchmark scripts internal to the package so we can have CLI commands. Could you either add it here instead or in both places please? https://github.com/vllm-project/vllm/blob/686623c5e7a0ee0c7679c052ced565dd83055709/vllm/benchmarks/datasets.py
I think the current complication is the vllm bench serve
command doesn't have datasets hooked up yet, but I think it should be trivial once I added these #16508
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Thanks for your PR!
Is Zeta the only NEP dataset available and supported as of now?
This is great! I was afraid I would need to keep our separate fork of |
This pull request has merge conflicts that must be resolved before it can be |
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LGTM!
@NickLucche why cannot I land this? Is this because of the |
@mgoin @NickLucche just a kind reminder, would love to land it. |
This pull request has merge conflicts that must be resolved before it can be |
@mgoin @NickLucche kind reminder. |
Sorry for the late reply! |
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LGTM thanks
@NickLucche on it |
Looks like pre-commit is failing, please give it another run locally when you find the time! |
(.venv) (base) damian@damian-ml-machine:~/vllm$ pre-commit run --all-files
yapf.....................................................................Passed
ruff.....................................................................Passed
codespell................................................................Passed
isort....................................................................Passed
clang-format.............................................................Passed
PyMarkdown...............................................................Passed
Lint GitHub Actions workflow files.......................................Passed
pip-compile..............................................................Passed
Run mypy for local Python installation...................................Passed
Lint shell scripts.......................................................Passed
Lint PNG exports from excalidraw.........................................Passed
Check SPDX headers.......................................................Passed
Check for spaces in all filenames........................................Passed
Update Dockerfile dependency graph.......................................Passed
Suggestion...............................................................Passed
- hook id: suggestion
- duration: 0s :( |
@mgoin the failing test seems unrelated ("works locally on my machine" heh), would you mind force landing it? |
Just had to retry the precommit, seems it failed to download the base docker image |
* [Model] Add GraniteMoeHybrid 4.0 model (vllm-project#17497) Signed-off-by: Thomas Ortner <boh@zurich.ibm.com> Signed-off-by: Stanislaw Wozniak <stw@zurich.ibm.com> Co-authored-by: Thomas Ortner <boh@zurich.ibm.com> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com> Co-authored-by: Tyler Michael Smith <tysmith@redhat.com> * [easy] Fix logspam on PiecewiseBackend errors (vllm-project#17138) Signed-off-by: rzou <zou3519@gmail.com> * [Bugfix] Fixed prompt length for random dataset (vllm-project#17408) Signed-off-by: Mikhail Podvitskii <podvitskiymichael@gmail.com> * [Doc] Update notes for H2O-VL and Gemma3 (vllm-project#17219) Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk> * [Misc] Fix ScalarType float4 naming (vllm-project#17690) Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com> * Fix `dockerfilegraph` pre-commit hook (vllm-project#17698) Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> * [Bugfix] Fix triton import with local TritonPlaceholder (vllm-project#17446) Signed-off-by: Mengqing Cao <cmq0113@163.com> * [V1] Enable TPU V1 backend by default (vllm-project#17673) Signed-off-by: mgoin <mgoin64@gmail.com> * [V1][PP] Support PP for MultiprocExecutor (vllm-project#14219) Signed-off-by: jiang1.li <jiang1.li@intel.com> Signed-off-by: jiang.li <jiang1.li@intel.com> * [v1] AttentionMetadata for each layer (vllm-project#17394) Signed-off-by: Chen Zhang <zhangch99@outlook.com> * [Feat] Add deprecated=True to CLI args (vllm-project#17426) Signed-off-by: Aaron Pham <contact@aarnphm.xyz> * [Docs] Use gh-file to add links to tool_calling.md (vllm-project#17709) Signed-off-by: windsonsea <haifeng.yao@daocloud.io> * [v1] Introduce KVCacheBlocks as interface between Scheduler and KVCacheManager (vllm-project#17479) Signed-off-by: Chen Zhang <zhangch99@outlook.com> * [doc] Add RAG Integration example (vllm-project#17692) Signed-off-by: reidliu41 <reid201711@gmail.com> Co-authored-by: reidliu41 <reid201711@gmail.com> * [Bugfix] Fix modality limits in vision language example (vllm-project#17721) Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk> * Make right sidebar more readable in "Supported Models" (vllm-project#17723) Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> * [TPU] Increase block size and reset block shapes (vllm-project#16458) * [Misc] Add Next Edit Prediction (NEP) datasets support in `benchmark_serving.py` (vllm-project#16839) Signed-off-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: dtransposed <> Co-authored-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> * [Bugfix] Fix for the condition to accept empty encoder inputs for mllama (vllm-project#17732) Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com> * [Kernel] Unified Triton kernel that doesn't distinguish between prefill + decode (vllm-project#16828) Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com> Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com> Co-authored-by: Lucas Wilkinson <lwilkinson@neuralmagic.com> --------- Signed-off-by: Thomas Ortner <boh@zurich.ibm.com> Signed-off-by: Stanislaw Wozniak <stw@zurich.ibm.com> Signed-off-by: rzou <zou3519@gmail.com> Signed-off-by: Mikhail Podvitskii <podvitskiymichael@gmail.com> Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk> Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com> Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Signed-off-by: Mengqing Cao <cmq0113@163.com> Signed-off-by: mgoin <mgoin64@gmail.com> Signed-off-by: jiang1.li <jiang1.li@intel.com> Signed-off-by: jiang.li <jiang1.li@intel.com> Signed-off-by: Chen Zhang <zhangch99@outlook.com> Signed-off-by: Aaron Pham <contact@aarnphm.xyz> Signed-off-by: windsonsea <haifeng.yao@daocloud.io> Signed-off-by: reidliu41 <reid201711@gmail.com> Signed-off-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: dtransposed <> Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com> Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com> Signed-off-by: rshaw@neuralmagic.com <robertgshaw2@gmail.com> Co-authored-by: Stan Wozniak <77159600+s3woz@users.noreply.github.com> Co-authored-by: Thomas Ortner <boh@zurich.ibm.com> Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com> Co-authored-by: Tyler Michael Smith <tysmith@redhat.com> Co-authored-by: Richard Zou <zou3519@users.noreply.github.com> Co-authored-by: Mikhail Podvitskii <podvitskiymichael@gmail.com> Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk> Co-authored-by: Lucas Wilkinson <LucasWilkinson@users.noreply.github.com> Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com> Co-authored-by: Mengqing Cao <cmq0113@163.com> Co-authored-by: Michael Goin <mgoin64@gmail.com> Co-authored-by: Li, Jiang <jiang1.li@intel.com> Co-authored-by: Chen Zhang <zhangch99@outlook.com> Co-authored-by: Aaron Pham <contact@aarnphm.xyz> Co-authored-by: Michael Yao <haifeng.yao@daocloud.io> Co-authored-by: Reid <61492567+reidliu41@users.noreply.github.com> Co-authored-by: reidliu41 <reid201711@gmail.com> Co-authored-by: Jevin Jiang <jevin0change@gmail.com> Co-authored-by: d.transposed <damian.bogunowicz@gmail.com> Co-authored-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Co-authored-by: Gregory Shtrasberg <156009573+gshtras@users.noreply.github.com> Co-authored-by: Thomas Parnell <tpa@zurich.ibm.com> Co-authored-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
…serving.py` (vllm-project#16839) Signed-off-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: dtransposed <> Co-authored-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: Mu Huai <tianbowen.tbw@antgroup.com>
…serving.py` (vllm-project#16839) Signed-off-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: dtransposed <> Co-authored-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal>
…serving.py` (vllm-project#16839) Signed-off-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: dtransposed <> Co-authored-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: Yuqi Zhang <yuqizhang@google.com>
Hi folks! @mgoin @NickLucche - I noticed that we have benchmark_dataset.py and datasets.py. What is the difference bw these 2? I am trying to add a dataset so do I need to add to one of them or both of them? Got the answer from this: #16839 (review) |
…serving.py` (vllm-project#16839) Signed-off-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: dtransposed <> Co-authored-by: dtransposed <damian@damian-ml-machine.europe-west3-b.c.jetbrains-grazie.internal> Signed-off-by: minpeter <kali2005611@gmail.com>
I am currently using
benchmark
scripts to profile one of the Next Edit Prediction (NEP) models, zeta on their dataset.This dataset is functionally similar to the existing
likaixin/InstructCoder
dataset, in the sense that it can be useful for benchmarking speculative decoding models. However, I decided to create a separateHuggingFaceDataset
object, since NEP models have their specific structure (history of edits, prefixes, sometimes suffixes, etc). The code should be extensible to other, similar use cases.