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Merged
merged 184 commits into from
Mar 7, 2025

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aarnphm
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@aarnphm aarnphm commented Jan 24, 2025

This PR introduces the first iteration of structured output support for the V1 engine.

While functional, it is not feature complete with the support in V0. We currently only support xgrammar as a backend. We do not have a fallback in place to outlines as we did in V0. Other backends will come in a follow-up.

While one of the goals in V1 is to minimize or eliminate conflicts between features, this does not yet work with speculative decoding. The features were developed in parallel and we haven’t had a chance to consider the interoperability challenges in depth. This will also be considered as possible follow-up work.

Some key points of the current design include:

  • Compilation of the grammar for a structured output request is done asynchronously and will not block the scheduler or any other requests from getting scheduled in the meantime.
  • We keep a cache of compiled grammars for accelerating the case where the same grammar is used repeatedly.
  • Advancing the FSM and calculating the next logits bitmask is done in the scheduler and then broadcasted to the GPU workers with the rest of the inputs already being sent.
  • We arrange the bitmasks in a single tensor to be applied to the full batch of logits in a single operation.

There are several ideas on how this design might evolve. By using this as a functional starting point, we will be able to evaluate changes using benchmarks.

Benchmarks comparing the V0 implementation versus this new V1 implementation:
image

Co-authored-by: Russell Bryant rbryant@redhat.com
Co-authored-by: Michael Goin mgoin64@gmail.com
Co-authored-by: Woosuk Kwon woosuk.kwon@berkeley.edu
Signed-off-by: Aaron Pham contact@aarnphm.xyz

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mergify bot commented Jan 24, 2025

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @aarnphm.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

@mergify mergify bot added the needs-rebase label Jan 24, 2025
@aarnphm aarnphm force-pushed the v1/structured-decoding branch from f66e36b to 55741d4 Compare January 24, 2025 06:11
@mergify mergify bot removed the needs-rebase label Jan 24, 2025
@aarnphm aarnphm changed the title feat: initial guided decoding implementation on scheduler [V1][Core] Initial guided decoding implementation on scheduler Jan 24, 2025
@aarnphm aarnphm changed the title [V1][Core] Initial guided decoding implementation on scheduler [V1][Core] Structured decoding on scheduler-level Jan 24, 2025
@aarnphm aarnphm force-pushed the v1/structured-decoding branch from 57e16d9 to 78bfa36 Compare January 27, 2025 06:38
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
@aarnphm aarnphm force-pushed the v1/structured-decoding branch from 78bfa36 to d719c93 Compare January 27, 2025 06:51
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@mgoin mgoin self-requested a review January 29, 2025 16:21
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@aarnphm aarnphm force-pushed the v1/structured-decoding branch from bf23eb2 to 733fef4 Compare January 31, 2025 02:04
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@aarnphm aarnphm force-pushed the v1/structured-decoding branch from 733fef4 to 420f52f Compare January 31, 2025 02:05
@mmoskal
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mmoskal commented Jan 31, 2025

I love seeing structured decoding being intergrated deeply inside of vLLM!

I would love to see llguidance being supported though. Compared to XGrammar, it is significantly faster, has near-zero compilation time, and has much broader JSON Schema support. We've been using it in production instances.

If needed I'm happy to add additional APIs to the Python bindings (server-side integrations so far have been native) or otherwise help.

timing diagram

@mergify mergify bot added the v1 label Feb 1, 2025
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This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @aarnphm.

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Signed-off-by: Russell Bryant <rbryant@redhat.com>
Comment on lines +875 to +879
# We receive the structured output bitmask from the scheduler, but the
# indices of the requests in the batch may not match the indices of
# the bitmask since the scheduler doesn't know how the gpu runner is
# ordering the requests in the batch. We need to sort the bitmask to
# match the order of the requests used here.
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Not for this PR but I wonder if we could avoid sorting every time somehow.

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yeah ...

The runner could reply with its batch ordering, so things could be aligned as long as the same batch keeps running?

russellb and others added 9 commits March 6, 2025 12:05
Signed-off-by: Russell Bryant <rbryant@redhat.com>
Signed-off-by: Russell Bryant <rbryant@redhat.com>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
@WoosukKwon WoosukKwon merged commit 80e9afb into vllm-project:main Mar 7, 2025
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Is there a nightly docker image I can use to test this?

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@AlbertoCastelo Yes. Please check out https://docs.vllm.ai/en/latest/getting_started/installation/gpu/index.html#pre-built-images

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This may caused error when use https://docs.vllm.ai/en/stable/features/tool_calling.html#named-function-calling . @aarnphm

There's a known issue with tool calling, but not caused by this PR. It should be resolved shortly

Alexei-V-Ivanov-AMD added a commit to ROCm/vllm that referenced this pull request Mar 11, 2025
* Fix `head_dim` not existing in all model configs (Transformers backend) (vllm-project#14141)

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* [Kernel] Optimize moe intermediate_cache usage (vllm-project#13625)

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* [Misc] Add Qwen2MoeForCausalLM moe tuning support  (vllm-project#14276)

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* [Docs] Add Meta Slides (vllm-project#14297)

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* [V1][BugFix] Fix for mixed top_k batch (vllm-project#14301)

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* [misc] Add FlashMLA as a new option of VLLM_ATTENTION_BACKEND env (vllm-project#14267)

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* init

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* [Bugfix] Fix DeepSeek MTP crash when using TP1ModelRunner with CUDA graph due to shape mismatch (vllm-project#14237)

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* [Bugfix] Remove num_tokens_across_dp (vllm-project#14302)

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* [CI/Build] Use spawn multiprocessing mode for V1 test pipeline (vllm-project#14243)

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* [V1] LoRA - Enable more V1 tests (vllm-project#14315)

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* [Hardware] Update the flash attn tag to support Blackwell (vllm-project#14244)

* [Model] Update Paligemma multimodal processing with PromptUpdate  (vllm-project#14015)

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* [Frontend][Docs] Transcription API streaming (vllm-project#13301)

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* [Doc] Update reasoning with stream example to use OpenAI library (vllm-project#14077)

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* [Doc] Correct beam_search using in generative_models.md (vllm-project#14363)

* [Kernel] [V1] Improved performance for V1 Triton (ROCm) backend  (vllm-project#14152)

* [Bugfix][Core] fix abort_seq_group and memory leak when n>1 (vllm-project#14326)

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* [Core] Don't use cache during multi-modal profiling (vllm-project#14336)

* [Doc] Fix date typo in README.md (vllm-project#14366)

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* Reinstate `best_of` for V0 (vllm-project#14356)

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* [Doc] Fix a typo (vllm-project#14385)

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* [Perf] Reduce MLA CPU overheads in V1 (vllm-project#14384)

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* [Bugfix] Fix JambaForCausalLM LoRA  (vllm-project#14370)

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* [Misc] Set default value of seed to None (vllm-project#14274)

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* [BUGFIX] Skip tokenization support for throughput benchmark (vllm-project#12712)

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* Fix missing `kv_caches` and `attn_metadata` in `OpenVINOCausalLM` (vllm-project#14271)

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* Use the optimized block sizes after tuning the kernel. (vllm-project#14329)

* [V1][Core] Support for Structured Outputs (vllm-project#12388)

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* [Doc] Update prefix_caching.md to match the example image (vllm-project#14420)

* [Benchmarks] Make detokenization optional in benchmark scripts (vllm-project#11697)

Signed-off-by: Jeremy Arnold <Jeremy.Arnold@amd.com>

* comments

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* [Kernel] optimize performance of gptq marlin kernel when n is small (vllm-project#14138)

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* [Misc] Add Phi4-MM example (vllm-project#14343)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

* [v1] torch.compile integration explanation (vllm-project#14437)

Signed-off-by: youkaichao <youkaichao@gmail.com>

* [V1] Eagerly remove finished requests from the batch (vllm-project#14388)

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* [V1][Metrics] Fix traceback with preemptions+LoRA (vllm-project#14220)

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

* [Bugfix] Fix torch_xla which can't handle None seed introduced in vllm-project#14274 (vllm-project#14459)

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* [V1] Prompt logprobs + APC compatibility; prompt logprobs reqs cannot fill APC (vllm-project#13949)

* [Bugfix][V1] Handle MLA in kv_cache_interface (vllm-project#14462)

Signed-off-by: Tyler Michael Smith <tyler@neuralmagic.com>

* Revert "[Perf] Reduce MLA CPU overheads in V1 (vllm-project#14384)" (vllm-project#14471)

* [Bugfix][Disaggregated] Add a check in send_kv_caches_and_hidden_states and fix the reshape of the KVCache (vllm-project#14369)

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* [MISC][V1] Register process killing handler only in the main thread (vllm-project#14380)

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* [core] add `extra_args` to `SamplingParams` (vllm-project#13300)

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* [CI/Build] refactor: set timezone of container to UTC (vllm-project#12888)

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* Default to `generation_config` from model (vllm-project#12622)

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* [Doc]add doc for Qwen models tool calling (vllm-project#14478)

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* [Doc] Added QwQ-32B to the supported models list in the reasoning out… (vllm-project#14479)

Signed-off-by: WangErXiao <863579016@qq.com>

* [Bugfix] Make the deviceprofiler include LoRA memory. (vllm-project#14469)

Signed-off-by: Jee Jee Li <pandaleefree@gmail.com>

* Add training doc signposting to TRL (vllm-project#14439)

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* [Build/BugFix] Fix hopper 12.8 build (vllm-project#14354)

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* Add RLHF document (vllm-project#14482)

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* [CI/Build] Use a fixed seed to avoid flaky tests (vllm-project#14480)

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* [V1] TPU - Add tensor parallel support via Ray (vllm-project#13618)

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* [Misc] add `use_tqdm_on_load` to reduce logs (vllm-project#14407)

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* [V1][Core] Fix memory issue with logits & sampling (vllm-project#13776)

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* [benchmarks] Add option to use unique jsonschema for each request (vllm-project#14457)

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* [Misc] Don't run ruff at all on 3rd party libs (vllm-project#14493)

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* Move requirements into their own directory (vllm-project#12547)

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* [Bugfix] DeepSeek Accuracy (vllm-project#14476)

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* [Bugfix] Fix profiling OOM and decouple encoder multimodal profiling (vllm-project#14361)

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* Update CODEOWNERS for structured output (vllm-project#14496)

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* [Misc] Upgrade to Python 3.9 typing for additional directories (vllm-project#14492)

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* [V1] Support bad_words in sampler (vllm-project#13376)

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* Revert "[V1][Core] Fix memory issue with logits & sampling" (vllm-project#14504)

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* [Attention] Default to FlashMLA backend for MLA (vllm-project#14451)

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* [Feat] Support chunked prefill for LMCache connector (vllm-project#14505)

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* [Bugfix] Revert QKVCrossParallelLinear usage in Mllama to keep BNB quantization work (vllm-project#14498)

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* [Hardware][TPU] Fix the recompiling issue in logits processor after warmup (vllm-project#14510)

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* [Misc] Ensure out-of-tree quantization method recognize by cli args (vllm-project#14328)

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* [Bugfix] Wrong requirements path - rocm (vllm-project#14527)

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* [Feature] Consolidate performance benchmark datasets (vllm-project#14036)

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* [Misc] Add log information for handle_process_request. (vllm-project#14130)

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* [Docs] Mention `model_impl` arg when explaining Transformers fallback (vllm-project#14552)

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* [Frontend] support image embeds (vllm-project#13955)

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* [Kernel] Add more dtype support for GGUF kernels (vllm-project#14043)

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* [Doc] Update PaliGemma note to a warning (vllm-project#14565)

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* V1 rocm support (#469)

* Initial commit for V1 successfull compilation

* Small improvement for linear

* Small improvement for linear

* making use of forward_cuda for all except ROPE in llama

---------

Co-authored-by: maleksan85 <maleksan@amd.com>

* nightly_fixed_aiter_integration_final_20250305 README update (#470)

* nightly_fixed_aiter_integration_final_20250305 README update (perf results only)

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* Fixing typo

* Removed --max-model-len in AITER command

* Updating AITER instructions

* typo

* Another typo

* Whitespace

* modifying whats new section

* Another typo

---------

Co-authored-by: arakowsk-amd <182798202+arakowsk-amd@users.noreply.github.com>
Co-authored-by: Gregory Shtrasberg <156009573+gshtras@users.noreply.github.com>

---------

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captainzmc pushed a commit to captainzmc/vllm that referenced this pull request Mar 12, 2025
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@aarnphm aarnphm deleted the v1/structured-decoding branch March 19, 2025 11:04
lulmer pushed a commit to lulmer/vllm that referenced this pull request Apr 7, 2025
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Co-authored-by: Nick Hill <nhill@redhat.com>
Signed-off-by: Louis Ulmer <ulmerlouis@gmail.com>
shreyankg pushed a commit to shreyankg/vllm that referenced this pull request May 3, 2025
Signed-off-by: Aaron Pham <contact@aarnphm.xyz>
Signed-off-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Russell Bryant <rbryant@redhat.com>
Co-authored-by: Michael Goin <mgoin64@gmail.com>
Co-authored-by: Nick Hill <nhill@redhat.com>
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ci/build ready ONLY add when PR is ready to merge/full CI is needed structured-output v1
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