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[OAI Server Refactor] [ChatCompletions & Completions] Support Return Hidden State #7329
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Summary of Changes
Hello @key4ng, 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 introduces the capability for users to request and receive the hidden states (embeddings) from the last token of a model's output for both Chat Completions and standard Completions API calls. The changes involve updating the API protocol, modifying the serving logic to handle and return these states, and adding a dedicated utility for processing them, all backed by a new suite of unit tests to ensure correctness and robustness.
Highlights
- API Protocol Extension: Extended the OpenAI-compatible API protocol (
protocol.py
) to include a newreturn_hidden_states
boolean field inCompletionRequest
andChatCompletionRequest
models. Correspondingly, ahidden_states
field (Optional[object]) has been added toCompletionResponseChoice
,CompletionResponseStreamChoice
,ChatCompletionResponseChoice
, andDeltaMessage
to carry the model's hidden states in the response. - Hidden State Processing Logic: Implemented logic within
serving_chat.py
andserving_completions.py
to process and return hidden states. This includes passing thereturn_hidden_states
flag to the internal request, extracting hidden states from the model's output, and including the last token's hidden states in both non-streaming and streaming API responses. For streaming, hidden states are sent as a separate chunk. - Utility Function for Hidden States: Added a new utility function,
process_hidden_states_from_ret
, inutils.py
to standardize the extraction and formatting of hidden states from the internal response structure, ensuring only the last token's hidden states are returned when requested. - Comprehensive Unit Tests: Introduced extensive unit tests in
test_serving_chat.py
andtest_serving_completions.py
to validate the new hidden states functionality across various scenarios, including single/multiple requests, streaming/non-streaming responses, echo behavior, multiple choices, and edge cases like empty or single-token hidden states.
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Code Review
This PR adds support for returning hidden states in chat and completion endpoints, with updates to protocol definitions and serving logic. The changes are well-tested. Suggestions focus on enhancing type specificity in the protocol and simplifying conditional logic.
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This suggestion is valid. There is a if choice_hidden_states:
at L625.
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I feel like the original implementation in adapter.py
is cleaner, it doesn't put everything inside a
if choice_hidden_states
.
What is the reason behind this change?
Original link:
https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/openai_api/adapter.py#L1849-L1870
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thanks, yeah line 625 can be removed
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my concern is if choice_hidden_states
is none or empty, do we send the hidden states chunk? In the implementation of adapter.py, it will still send
nvm, exclude_if_none
can handle that
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This suggestion is valid. There is a if choice_hidden_states:
at L625.
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I feel like the original implementation in adapter.py
is cleaner, it doesn't put everything inside a
if choice_hidden_states
.
What is the reason behind this change?
Original link:
https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/openai_api/adapter.py#L1849-L1870
Signed-off-by: keru <[email protected]>
Signed-off-by: keru <[email protected]>
Signed-off-by: keru <[email protected]>
Signed-off-by: keru <[email protected]>
Signed-off-by: keru <[email protected]>
/gemini summary |
Summary of ChangesThis pull request enhances the OpenAI server's capabilities by allowing clients to retrieve the hidden states from the language model's output. This feature is integrated into both chat and completion API endpoints, providing deeper insights into the model's internal representations. The changes involve extending the request and response protocols, implementing the necessary data processing within the serving logic, and adding robust unit tests to ensure correctness. Highlights
Changelog
Activity
|
…Hidden State (sgl-project#7329) Signed-off-by: keru <[email protected]>
…Hidden State (sgl-project#7329) Signed-off-by: keru <[email protected]>
…Hidden State (sgl-project#7329) Signed-off-by: keru <[email protected]>
* Use seq_len_fill_value in the cuda graph runners (sgl-project#7233) * support custom weight loader for model runner (sgl-project#7122) Co-authored-by: kavioyu <[email protected]> * Fix AMD speculative decoding (sgl-project#7252) * [Refactor] OAI Server components (sgl-project#7167) Signed-off-by: Xinyuan Tong <[email protected]> * OAI Server Skeleton & Core Utility Endpoints (sgl-project#7179) * [amd] Opt dsv3 moe (sgl-project#7160) Co-authored-by: wunhuang <[email protected]> * update ci node for xeon (sgl-project#7265) * feat: mtp support dp-attention (sgl-project#6081) Co-authored-by: austindeng <[email protected]> Co-authored-by: tianqilin.99 <[email protected]> Co-authored-by: Qiaolin Yu <[email protected]> Co-authored-by: ch-wan <[email protected]> * support qwen2 running on ascend npu device (sgl-project#7022) Co-authored-by: 刁莹煜 <[email protected]> * Fix Deepseek R1 0528 FP4 tensor name mismatch issue during weights loading. (sgl-project#7164) * bugfix(tool call ebnf): Fix EBNF generation for optional function parameters (sgl-project#7283) * Fix AWQ Dequant and Weight Loading of deepseek v2 (sgl-project#6842) * fix: resolve b200 dsv3 mtp issue (sgl-project#7286) * ci: Fix test_ebnf_generate_all_optional_function_params (sgl-project#7288) * fix: only enable flash_attn test on sm80 sm90 (sgl-project#7289) * [PD] Support get local ip from NIC for PD disaggregation (sgl-project#7237) Signed-off-by: Shangming Cai <[email protected]> * [PD] Add custom memory pool option to support Mooncake PD with NVLink (sgl-project#7264) Signed-off-by: Shangming Cai <[email protected]> * Upstreaming hicache bug fixes (sgl-project#7267) * Update python API of activation, topk, norm and rope and remove vllm dependency (sgl-project#6614) Co-authored-by: Wu, Chunyuan <[email protected]> Co-authored-by: jianan-gu <[email protected]> Co-authored-by: sdp <[email protected]> * Fix hicache benchmark script bug - some sampled input_request is [] (sgl-project#7300) * chore: change logs from`INFO` to `DEBUG` for dp and add force quit for tokenizer manager (sgl-project#7251) * update invalid link in doc (sgl-project#7297) * Fix mini_lb for PD with long output: limit chunk size of decode response (sgl-project#7301) Signed-off-by: ch-tiger1 <[email protected]> Co-authored-by: ch-tiger1 <[email protected]> * Fix profiler error when there are idle passes (sgl-project#7003) * [pd] optimize dockerfile for pd disaggregation (sgl-project#7319) Co-authored-by: zhyncs <[email protected]> * Merge PDLB (Prefill-Decode Load Balancer) into SGLang Router (sgl-project#7096) * Add more refactored openai test & in CI (sgl-project#7284) * fix: resolve blackwell deepep image issue (sgl-project#7331) * add seed in CPU UTs to avoid flaky failure (sgl-project#7333) * Multi-Stage Awake: Support Resume and Pause KV Cache and Weights separately (sgl-project#7099) * Reintroduce tiny fix sampler error when prob is not contiguous (sgl-project#7354) * [Refactor] Clean up radix cache related API (sgl-project#7303) Co-authored-by: Zhiqiang Xie <[email protected]> * Put `_normalize_rid` before other normalization in `io_struct` (sgl-project#7363) * [PD] Transfer hidden states for mtp when disaggregation (sgl-project#7242) * [Bugfix][PD] Set conclude state before clear when failure happens (sgl-project#7362) Signed-off-by: Shangming Cai <[email protected]> * docs: update installation (sgl-project#7366) * [Docker] optimize dockerfile remove deepep and blackwell merge it to… (sgl-project#7343) Co-authored-by: Yineng Zhang <[email protected]> * Clean unused import for mimo mtp model (sgl-project#7370) * [Bugfix]Fix hang bug using dp attention with HiRadixCache (sgl-project#7159) Signed-off-by: huanglong <[email protected]> * [Doc] add embedding rerank doc (sgl-project#7364) * Fix judgment condition for enabling Deepseek V3/R1 shared expert fusion optimization (sgl-project#7371) * Feat/refactor embedding server (sgl-project#7322) * Purge VerlEngine (sgl-project#7326) Signed-off-by: Ata Fatahi <[email protected]> * support return logprobs for pipeline (sgl-project#7356) Co-authored-by: Zhang Kaihong <[email protected]> * [PD] Optimize custom mem pool usage and bump mooncake version (sgl-project#7393) Signed-off-by: Shangming Cai <[email protected]> * Support THUDM/GLM-4-0414 (GLM-Z1) Glm4ForCausalLM architecture. (sgl-project#5485) * Refine OpenAI serving entrypoint to remove batch requests (sgl-project#7372) Signed-off-by: Xinyuan Tong <[email protected]> Co-authored-by: Chang Su <[email protected]> * [Feature] Comprehensive Hybrid Parallelism Support (sgl-project#6389) * [DeepSeekNextN] fix: residual of head norm can be None (sgl-project#7398) * [OAI refactor] Add rerank and score serving (sgl-project#7399) Co-authored-by: Chang Su <[email protected]> * [OAI Server Refactor] [ChatCompletions & Completions] Implement UsageInfo Processor (sgl-project#7360) Co-authored-by: Chang Su <[email protected]> * Fix All-Gather under world size one (sgl-project#7219) * Optimize DP attn scheduling for speculative decoding (sgl-project#7285) * Update usage_processor.py (sgl-project#7402) * Fix 7285 Merge Conflicts (sgl-project#7403) * chore: upgrade mooncake-transfer-engine 0.3.4 (sgl-project#7401) * [OAI Server Refactor] [ChatCompletions & Completions] Support Return Hidden State (sgl-project#7329) Signed-off-by: keru <[email protected]> * Remove batches api in docs & example (sgl-project#7400) * [BugFix]: fix EmbeddingReqInput single input error (sgl-project#7396) * [BugFix]fix qwen25 invoke function call streaming responses with curly braces as the starting indicator (sgl-project#7394) * fix overlap pagecount (sgl-project#6984) Co-authored-by: Zhiqiang Xie <[email protected]> * fix: Fix CI test_function_call_parser.py (sgl-project#7425) * Fix CPU offloading for MLA memory pool (sgl-project#7409) * [fix] PD disaggregation when enable mtp and tp!=dp (sgl-project#7420) * feat(oai refactor): Replace `openai_api` with `entrypoints/openai` (sgl-project#7351) Co-authored-by: Jin Pan <[email protected]> * Refactor LoRAManager and LoRAMemoryPool state management logic for dynamic LoRA loading support (sgl-project#7412) * refactor(test): reorganize OpenAI test file structure (sgl-project#7408) * [minor] simplify the `TokenToKVPoolAllocator` (sgl-project#7414) * Tiny add logging for GC (sgl-project#7406) * FlashInfer NVFP4 MoE with EP & 2-stream shared expert (sgl-project#7327) Co-authored-by: JieXin Liang <[email protected]> Co-authored-by: alcanderian <[email protected]> * Remove copy after bmm (sgl-project#7441) * Fix torch compile run (sgl-project#7391) Co-authored-by: wunhuang <[email protected]> Co-authored-by: Sai Enduri <[email protected]> * [misc] Add PD service discovery support in router (sgl-project#7361) * add fused moe config for qwen3 in triton3.3.1 (sgl-project#7445) * Fix CUDA Graph Check under Deepep with DP FFN (sgl-project#7451) * Update hyperparameter_tuning.md (sgl-project#7454) * feat: integrate deepgemm into EPMoE (sgl-project#6821) Co-authored-by: tianqilin.99 <[email protected]> Co-authored-by: TianQiLin666666 <[email protected]> Co-authored-by: Cheng Wan <[email protected]> * Solve docker build failed in the virtual machine (sgl-project#7290) Co-authored-by: wunhuang <[email protected]> Co-authored-by: Sai Enduri <[email protected]> Co-authored-by: HAI <[email protected]> * Fix a bug in BatchTokenIDOut & Misc style and dependency updates (sgl-project#7457) * [CI] Upgrade mooncake to 0.3.4.post1 to fix 8 gpu tests (sgl-project#7472) Signed-off-by: Shangming Cai <[email protected]> * Fix prefill OOM due to wrong token calculation when page > 1 (sgl-project#7397) * feat(func_call): Add more check in `BaseFormatDetector.parse_streaming_increment` (sgl-project#7479) * Fix dtype for idle input in spec decoding (sgl-project#7456) * update mooncake in dockerfile (sgl-project#7480) * kvcache io kernels and test case (sgl-project#7382) * [perf] slightly imporve DeepSeek-R1-FP4 TP8 (sgl-project#7481) * Quick fix for DeepGemm requant to also cover MTP. (sgl-project#7378) * Support weight loading without mmap (sgl-project#7469) * ci: Revert openai_server related tests in AMD suites (sgl-project#7449) * Perormance: Enable cuda graph for dp idle batch (sgl-project#7269) Co-authored-by: austindeng <[email protected]> Co-authored-by: Cheng Wan <[email protected]> Co-authored-by: ch-wan <[email protected]> * bugfix: Prevent global mutation of conv.stop_str across requests (sgl-project#7347) Co-authored-by: Chang Su <[email protected]> * Fix RequestValidationError response format (sgl-project#7487) * Fix MTP with Deepseek R1 Fp4 (sgl-project#7376) * chore: bump sgl-kernel v0.2.0 (sgl-project#7490) * chore: bump v0.4.8 (sgl-project#7493) * [AMD] add aiter fused moe in DeepEP path (sgl-project#7268) * enable aiter_biased_grouped_topk kernel (sgl-project#7423) * [PD Disaggregation] replace transfer with batch transfer for better performance (sgl-project#7236) * Remove cumsum_buffer initilization (sgl-project#7439) * [benchmark] fbgemm benchmark support bandwidth report and support fbgemm_cutlass_gmm (sgl-project#7422) * Support multi-thread model weight loading (sgl-project#7277) * [PD] NIXL: Register kv args in advance and cleanup finished requests (sgl-project#6717) * fix: Add `--model` as an alias for `--model-path` in server_args (sgl-project#7505) * misc: Improvement to serving_chat.py and add more ut (sgl-project#7489) * Fuse sorted_token_ids padding to moe_align_block_size kernel (sgl-project#7437) * [OAI] patch origin request_id logic (sgl-project#7508) * [PD][Spec] Fix hidden state transfer for spec decode (sgl-project#7516) Signed-off-by: Shangming Cai <[email protected]> * EPLB support for MTP (sgl-project#7510) * clean duplicate code (sgl-project#7512) * [ci] add router benchmark script and CI (sgl-project#7498) * fix: force synchronization between TP workers when update_weights (sgl-project#6626) Co-authored-by: dangkai.dk <[email protected]> * [CPU] [BF16] Call fused_experts_cpu, weight_packed_linear and bmm_cpu kernel in DeepSeek model (sgl-project#6641) Co-authored-by: Thien Tran <[email protected]> * [CI] Upgrade mooncake to v0.3.4.post2 to fix potential slice failed bug (sgl-project#7522) Signed-off-by: Shangming Cai <[email protected]> * npu fused op (sgl-project#7386) Co-authored-by: Li Junwen <[email protected]> * feat: send kvmetrics from sglang scheduler (sgl-project#6721) * [PD] Add different TP sizes support for no-MLA models (sgl-project#6793) Co-authored-by: shangmingc <[email protected]> Co-authored-by: Shangming Cai <[email protected]> * enable aiter fp8 blockscale quant (sgl-project#7520) * take aiter get_rope back (sgl-project#7521) * Fix typo of flash_cache (sgl-project#7513) * feat: add return hidden_states at async generation (sgl-project#7507) * minor: 'role' must be system/assistant/tool, but case insensitive for now (sgl-project#7499) * Fix FP8 KV Cache Support in FA3 Backend (sgl-project#7148) * Fix gathered_buffer issues in tbo (sgl-project#7531) * [PD] Raise error for incompatible mooncake version and some minor fixes (sgl-project#7527) Signed-off-by: Shangming Cai <[email protected]> * [CMake] Fix sgl-kernel CMakeLists for Blackwell (sgl-project#7543) * Add Tencent HunYuanMoEV1 model support (sgl-project#7549) * Update seed in CPU UTs to avoid flaky failure with single test (sgl-project#7544) * chore: improve ci bug reporting (sgl-project#7542) * chore: remove vlm unnecessary import (sgl-project#7541) Signed-off-by: Xinyuan Tong <[email protected]> Co-authored-by: yhyang201 <[email protected]> Co-authored-by: Mick <[email protected]> * chore: bump v0.4.8.post1 (sgl-project#7559) * [PD][NIXL] Set is_sorted=False to fix NIXL_ERR_NOT_FOUND (sgl-project#7330) * [Fix] incorrect assert in EPLB (sgl-project#7575) * Updates Gemma3n MLP layer to adapt latest transformers version (sgl-project#7573) Signed-off-by: Xinyuan Tong <[email protected]> * Fix MTP error when enabling two-batch overlap (sgl-project#7569) * Add e2e test for multi instance multi stage memory release/resume occupuation (sgl-project#7208) Signed-off-by: Ata Fatahi <[email protected]> * [CI] Add CI Testing for Prefill-Decode Disaggregation with Router (sgl-project#7540) * Updates transformers and timm dependencies (sgl-project#7577) Signed-off-by: Xinyuan Tong <[email protected]> * feat: support compatibility between MTP and two-batch-overlap (sgl-project#7225) Co-authored-by: Cheng Wan <[email protected]> * Move multimodal processors into a separate folder (sgl-project#7581) * Fix broken CI TestVILAServer (sgl-project#7610) * [router] add centralized configuration module for sgl-router (sgl-project#7588) * Fix: Minicpm (sgl-project#7612) Signed-off-by: Xinyuan Tong <[email protected]> * Hybrid kv cache for LLaMA4 (sgl-project#6563) Co-authored-by: Cheng Wan <[email protected]> Co-authored-by: tarinkk <[email protected]> Co-authored-by: tarinkk <[email protected]> Co-authored-by: Hanming Lu <[email protected]> * [CPU] add optimizations for INT8 and FP8 DeepSeek (sgl-project#6769) Co-authored-by: Zheng, Beilei <[email protected]> * Tiny add logs for expert location updater (sgl-project#7308) * Fix flakiness in LoRA batch test. (sgl-project#7552) * [BUG] fix local_rank in initialize_dp_attention (sgl-project#7584) * Support dynamic LoRA loading / unloading in engine/server API (sgl-project#7446) * [PD] Respect sampling_params.max_new_tokens when PD disaggregation is activated (sgl-project#7598) Signed-off-by: Shangming Cai <[email protected]> * fix unit tests (sgl-project#7618) * Let ep_scatter support arbitrary strides / ue8m0 format (sgl-project#7309) * Let EP prefill support new DeepGEMM (sgl-project#7310) * docs: add gb200 nvl72 and a16z grant (sgl-project#7620) * oai: Adds support for OpenAI chat completions API in bench_serving (sgl-project#7036) Signed-off-by: Xinyuan Tong <[email protected]> Co-authored-by: yhyang201 <[email protected]> Co-authored-by: Mick <[email protected]> * [bugfix] Remove PR comment posting from Rust benchmark workflow (sgl-project#7625) * [Minor] clean up multimodal processor and tokenizer manager (sgl-project#7624) * Add dsv3 fused a gemm to sgl-kernel (sgl-project#7630) * Add @mickqian as the CODEOWNERS of multimodal (sgl-project#7636) * Fix stream reasoning parser and Adds Kimi reasoning parser (sgl-project#7432) Signed-off-by: Xinyuan Tong <[email protected]> * Fix sgl-router startup crash (sgl-project#7619) * [bugfix] fix runtime dropping panic in editable (sgl-project#7628) * Move files related to EPLB (sgl-project#7580) * [misc] reduce weird rope_scaling_factor warning (sgl-project#7176) * [AMD] Add unit-test-sgl-kernel-amd to AMD CI (sgl-project#7539) * Update CODEOWNERS (sgl-project#7640) * [EAGLE] remove a wrong adjustment for page_size > 1 & topk > 1 in server_args.py (sgl-project#7643) * [CPU] add c++ kernel to bind CPU cores and memory node (sgl-project#7524) * Improve streaming, log_level, memory report, weight loading, and benchmark script (sgl-project#7632) Co-authored-by: Kan Wu <[email protected]> * Add dsv3 router gemm kernel (sgl-project#7627) * chore: upgrade flashinfer v0.2.7 jit (sgl-project#7663) * [doc] update lws doc for pd (sgl-project#7318) * Fix: sync prepare_fp8_layer_for_marlin with latest vllm changes (sgl-project#7648) * Add small requirements for benchmark/parse_result tools (sgl-project#7671) * [CPU] remove process_group from inputs of shm_allreduce and shm_allgather (sgl-project#7486) * chore: bump sgl-kernel v0.2.1 (sgl-project#7675) * support llama4 eagle3 (sgl-project#6985) Co-authored-by: shuaills <[email protected]> Co-authored-by: Shenggui Li <[email protected]> Co-authored-by: Yingyi Huang <[email protected]> Co-authored-by: yizhang2077 <[email protected]> * Refactor mm processors and Enable mixed modality processing (sgl-project#7629) Signed-off-by: Xinyuan Tong <[email protected]> * upgrade sgl kernel to 0.2.1 for main (sgl-project#7676) * add description for llama4 eagle3 (sgl-project#7688) * fix(model loader): use safe_open to prevent file handle leaks. (sgl-project#7684) * chore: upgrade flashinfer v0.2.7.post1 (sgl-project#7698) * Improve error handling for requests with unloaded LoRA path(s) (sgl-project#7642) * Apply dsv3_fused_a_gemm kernel (sgl-project#7635) * Fix GPTQMarlinMoE (sgl-project#7697) * [1/n] apply wna16marlin kernel in moe weight only quantization (sgl-project#7683) Co-authored-by: 晟海 <[email protected]> Co-authored-by: yych0745 <[email protected]> Co-authored-by: HandH1998 <[email protected]> Co-authored-by: 弋云 <[email protected]> Co-authored-by: walker-ai <[email protected]> * Apply dsv3 router gemm kernel for deepseek-r1 fp4 (sgl-project#7677) * [AMD] Temporarily disable test_no_overlap_scheduler and test_vision_chunked_prefill (sgl-project#7717) * [RL] add --skip-warmup (sgl-project#7416) * [RL] support update_weights_from_distributed with different group and multiple weights (sgl-project#7292) * [router] add --log-level to sgl-router (sgl-project#6512) * [b200] support trt-llm allreduce fuse rms_norm_add kernel (sgl-project#7621) * [CPU] Bind threads and numa node for each TP rank (sgl-project#6549) Co-authored-by: srinarayan-srikanthan <[email protected]> * Support non-contiguous query input for extend/decode attention (sgl-project#7462) * Support updating weights at once by stopping all requests (sgl-project#6698) Signed-off-by: Tianyu Zhou <[email protected]> Co-authored-by: Zilin Zhu <[email protected]> * Fix num_tokens_pre_allocated in disaggregation log (sgl-project#7714) * [CPU] [sgl-kernel] set dispatch key of initialize to CatchAll (sgl-project#7734) * [CPU] fix all_reduce and all_gather (sgl-project#6770) Co-authored-by: blzheng <[email protected]> * fix awq and dsv3 fused gemm compatible (sgl-project#7735) * [CI][Router] Fix bench_one_batch_server for pd router test (sgl-project#7731) Signed-off-by: Shangming Cai <[email protected]> * Add CUTLASS FP8 Blockscale MoE kernel for Hopper architecture (sgl-project#7278) Co-authored-by: HydraQYH <[email protected]> Co-authored-by: TianQiLin666666 <[email protected]> * fix dsv3 fused proj check (sgl-project#7738) * Ascend attention backend(PA&MLA) (sgl-project#7722) Co-authored-by: Maksim <[email protected]> Co-authored-by: VDV1985 <[email protected]> * [fix] fix dsv3_router_gemm filter (sgl-project#7750) * [CPU] refine CPU integration code (sgl-project#7647) * [CPU] support the case where num_attention_heads or intermediate_size is not divisible by the TP size (sgl-project#6771) * support qwen3 dense model dp attention (sgl-project#7681) * [optimize] add two stream norm for qwen3 (sgl-project#7740) Co-authored-by: ispobock <[email protected]> * feat: use D2D instead of H2H in pp (sgl-project#7673) Co-authored-by: alpha-baby <[email protected]> * [Bug] add flashinfer bool check for fusedmoe in Qwen moe models (sgl-project#7723) * [fix] put cpu in the first priority in get_device() (sgl-project#7752) * [optimize] fuse renormalize into moe_topk_softmax (sgl-project#7744) Co-authored-by: ispobock <[email protected]> * chore: bump sgl-kernel 0.2.2 (sgl-project#7755) * fix CI: update native api ipynb (sgl-project#7754) Signed-off-by: Xinyuan Tong <[email protected]> * fuse renormal into moe topk softmax kernel python code (sgl-project#7751) Co-authored-by: ispobock <[email protected]> Co-authored-by: zhyncs <[email protected]> * Remove type conversion and fix id map in topk (sgl-project#7759) * Add V2-lite model test (sgl-project#7390) Co-authored-by: DiweiSun <[email protected]> * refactor llama4 dp attention logic (sgl-project#7729) * fix(docs): fix the broken link in `docs/references/production_metrics.md` (sgl-project#7741) Signed-off-by: rudeigerc <[email protected]> * [fix] update bench_speculative.py for compatibility (sgl-project#7764) Signed-off-by: Kay Yan <[email protected]> * Move mem_fraction_static adjustment for multimodal models to `server_args.py` & Fix session control & Other cleanups (sgl-project#7748) * [RL] Add --nccl-port to prevent port conflict (sgl-project#7418) * [RL] add pause and continue generation for async rl training (sgl-project#7419) * [Fix] Alloc return type error (sgl-project#7778) Signed-off-by: Capronir <[email protected]> * [feat] Support EAGLE3 for Qwen (sgl-project#7745) Co-authored-by: 纬杭 <[email protected]> Co-authored-by: zyksir <[email protected]> * saving hidden_states.clone() (sgl-project#7705) * [1/n]: add cutlass W4A8 moe kernel for hopper architecture (sgl-project#7772) Signed-off-by: yangsijia.614 <[email protected]> Co-authored-by: yicwang <[email protected]> * add model: qwen2-audio (sgl-project#7596) * Optimize Hopper CUTLASS FP8 Blockwise Grouped GEMM Kernel in Small K Scenario (sgl-project#7782) * Embedding parallel by attn_tp (sgl-project#7623) * fix: fix apply_shuffle_mul_sum (sgl-project#7444) * chore: bump sgl-kernel v0.2.3 (sgl-project#7784) * fix: use nvidia-nccl-cu12 2.27.5 (sgl-project#7787) * DP Attention with Auto DeepEP Dispatch (sgl-project#7222) * chore: upgrade sgl-kernel v0.2.3 (sgl-project#7786) * Fix incorrect spec_num_draft_tokens in draft_extend (sgl-project#7757) * [fix] fix misusing of is_cuda (sgl-project#7790) * Add treemask mode to build_eagle_tree & release sgl-kernel 0.2.3 (sgl-project#7756) Co-authored-by: Pranjal Shankhdhar <[email protected]> * chore: bump sgl-kernel v0.2.4 (sgl-project#7800) * ci: fix port args (sgl-project#7792) * Fix CI test OOM issue. (sgl-project#7799) * chore: upgrade sgl-kernel v0.2.4 (sgl-project#7801) * chore: bump v0.4.9 (sgl-project#7802) * fix merge conflict issue * fix hpu attention nonetyep issue * fix alignment * fix alignment2 * Ci failure fixes * fix attention-backend choices --------- Signed-off-by: Xinyuan Tong <[email protected]> Signed-off-by: Shangming Cai <[email protected]> Signed-off-by: ch-tiger1 <[email protected]> Signed-off-by: huanglong <[email protected]> Signed-off-by: Ata Fatahi <[email protected]> Signed-off-by: keru <[email protected]> Signed-off-by: Tianyu Zhou <[email protected]> Signed-off-by: rudeigerc <[email protected]> Signed-off-by: Kay Yan <[email protected]> Signed-off-by: Capronir <[email protected]> Signed-off-by: yangsijia.614 <[email protected]> Signed-off-by: Mohit Sinha <[email protected]> Co-authored-by: Lianmin Zheng <[email protected]> Co-authored-by: KavioYu <[email protected]> Co-authored-by: kavioyu <[email protected]> Co-authored-by: Xinyuan Tong <[email protected]> Co-authored-by: yhyang201 <[email protected]> Co-authored-by: kk <[email protected]> Co-authored-by: wunhuang <[email protected]> Co-authored-by: DiweiSun <[email protected]> Co-authored-by: u4lr451 <[email protected]> Co-authored-by: austindeng <[email protected]> Co-authored-by: tianqilin.99 <[email protected]> Co-authored-by: Qiaolin Yu <[email protected]> Co-authored-by: ch-wan <[email protected]> Co-authored-by: Yijie Zhu <[email protected]> Co-authored-by: 刁莹煜 <[email protected]> Co-authored-by: Charles Chen <[email protected]> Co-authored-by: Chang Su <[email protected]> Co-authored-by: AniZpZ <[email protected]> Co-authored-by: Yineng Zhang <[email protected]> Co-authored-by: shangmingc <[email protected]> Co-authored-by: Zhiqiang Xie <[email protected]> Co-authored-by: YanbingJiang <[email protected]> Co-authored-by: Wu, Chunyuan <[email protected]> Co-authored-by: jianan-gu <[email protected]> Co-authored-by: sdp <[email protected]> Co-authored-by: Binyao Jiang <[email protected]> Co-authored-by: ishandhanani <[email protected]> Co-authored-by: linzhuo <[email protected]> Co-authored-by: ch-tiger1 <[email protected]> Co-authored-by: ch-tiger1 <[email protected]> Co-authored-by: fzyzcjy <[email protected]> Co-authored-by: ybyang <[email protected]> Co-authored-by: Simo Lin <[email protected]> Co-authored-by: Jinn <[email protected]> Co-authored-by: Stefan He <[email protected]> Co-authored-by: DarkSharpness <[email protected]> Co-authored-by: Atream <[email protected]> Co-authored-by: Li Hui <[email protected]> Co-authored-by: Huang Long <[email protected]> Co-authored-by: woodx <[email protected]> Co-authored-by: Ata Fatahi <[email protected]> Co-authored-by: strgrb <[email protected]> Co-authored-by: Zhang Kaihong <[email protected]> Co-authored-by: Wenbo Yang <[email protected]> Co-authored-by: Chang Su <[email protected]> Co-authored-by: Cheng Wan <[email protected]> Co-authored-by: Keyang Ru <[email protected]> Co-authored-by: ehuaa <[email protected]> Co-authored-by: pansicheng <[email protected]> Co-authored-by: Liangsheng Yin <[email protected]> Co-authored-by: Jin Pan <[email protected]> Co-authored-by: Lifu Huang <[email protected]> Co-authored-by: Trevor Morris <[email protected]> Co-authored-by: JieXin Liang <[email protected]> Co-authored-by: alcanderian <[email protected]> Co-authored-by: Ke Bao <[email protected]> Co-authored-by: Sai Enduri <[email protected]> Co-authored-by: Yi Zhang <[email protected]> Co-authored-by: xutizhou <[email protected]> Co-authored-by: TianQiLin666666 <[email protected]> Co-authored-by: HAI <[email protected]> Co-authored-by: Yuhong Guo <[email protected]> Co-authored-by: huangtingwei <[email protected]> Co-authored-by: Alex Sun <[email protected]> Co-authored-by: valarLip <[email protected]> Co-authored-by: Francis <[email protected]> Co-authored-by: Xiaoyu Zhang <[email protected]> Co-authored-by: xianzhiT <[email protected]> Co-authored-by: yilian49 <[email protected]> Co-authored-by: DangKai <[email protected]> Co-authored-by: dangkai.dk <[email protected]> Co-authored-by: Thien Tran <[email protected]> Co-authored-by: ll819214 <[email protected]> Co-authored-by: Li Junwen <[email protected]> Co-authored-by: zixuanzhang226 <[email protected]> Co-authored-by: Hongbo Xu <[email protected]> Co-authored-by: shangmingc <[email protected]> Co-authored-by: eigen <[email protected]> Co-authored-by: mlmz <[email protected]> Co-authored-by: Ruihang Lai <[email protected]> Co-authored-by: Meng, Peng <[email protected]> Co-authored-by: Mick <[email protected]> Co-authored-by: yhyang201 <[email protected]> Co-authored-by: tarinkk <[email protected]> Co-authored-by: tarinkk <[email protected]> Co-authored-by: tarinkk <[email protected]> Co-authored-by: Hanming Lu <[email protected]> Co-authored-by: Zheng, Beilei <[email protected]> Co-authored-by: Sheng Qi <[email protected]> Co-authored-by: finetune <[email protected]> Co-authored-by: Hubert Lu <[email protected]> Co-authored-by: Kan Wu <[email protected]> Co-authored-by: Baizhou Zhang <[email protected]> Co-authored-by: narutolhy <[email protected]> Co-authored-by: lukec <[email protected]> Co-authored-by: shuaills <[email protected]> Co-authored-by: Shenggui Li <[email protected]> Co-authored-by: Yingyi Huang <[email protected]> Co-authored-by: Simon_CQK <[email protected]> Co-authored-by: Kyungmin Lee <[email protected]> Co-authored-by: 晟海 <[email protected]> Co-authored-by: yych0745 <[email protected]> Co-authored-by: HandH1998 <[email protected]> Co-authored-by: 弋云 <[email protected]> Co-authored-by: walker-ai <[email protected]> Co-authored-by: Zilin Zhu <[email protected]> Co-authored-by: srinarayan-srikanthan <[email protected]> Co-authored-by: Albert <[email protected]> Co-authored-by: Ziming Huang <[email protected]> Co-authored-by: ayrnb <[email protected]> Co-authored-by: HydraQYH <[email protected]> Co-authored-by: ronnie_zheng <[email protected]> Co-authored-by: Maksim <[email protected]> Co-authored-by: VDV1985 <[email protected]> Co-authored-by: ispobock <[email protected]> Co-authored-by: TianyuZhang1214 <[email protected]> Co-authored-by: alpha-baby <[email protected]> Co-authored-by: Yuchen Cheng <[email protected]> Co-authored-by: Kay Yan <[email protected]> Co-authored-by: Caproni <[email protected]> Co-authored-by: Ximingwang-09 <[email protected]> Co-authored-by: 纬杭 <[email protected]> Co-authored-by: zyksir <[email protected]> Co-authored-by: SijiaYang <[email protected]> Co-authored-by: yicwang <[email protected]> Co-authored-by: Leng Yue <[email protected]> Co-authored-by: Qi Yuhang <[email protected]> Co-authored-by: Gang Chen <[email protected]> Co-authored-by: Pranjal Shankhdhar <[email protected]> Co-authored-by: jay <[email protected]>
Motivation
Address issue: #7260
Support return hidden states in serving_chat.py and serving_completions.py
Modifications
Checklist