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Author SHA1 Message Date
tzhouamandClaude Fable 5.1 f9d2cab3bc edge results: codec stream per-step cadence (chain7): client TTFA 152-156 ms, ramp 2/4/8/16/25, stall 0 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 16:54:03 +08:00
tzhouamandClaude Fable 5.1 565f7475c7 edge results: codec stream cadence check 2 (chain6, server per-step outputs confirmed) 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 16:45:25 +08:00
tzhouamandClaude Fable 5.1 78a30b7562 edge results: codec stream diagnosis run (chain4) + offline parity diag 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 16:22:01 +08:00
tzhouamandClaude Fable 5.1 0356b22e4c edge results: chunk hop put->get stats, shm vs cuda_ipc (0.6B, chain3) 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 16:08:22 +08:00
tzhouamandClaude Fable 5.1 5104fb6d67 edge results: edge_final2 (parallel init), GPU step-stats (default/edge/cuda_ipc), codec stream parity run 1 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 16:02:17 +08:00
tzhouamandClaude Fable 5.1 b8d1e44ebe [Edge][WP5] Codec stream diagnostics: per-request output/codes counters, client saves received codes, offline parity diag 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 16:02:02 +08:00
tzhouamandClaude Fable 5.1 15bb6133a3 edge results: init_profile variant YAMLs; recipe GPU memory figure 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 15:35:24 +08:00
tzhouamandClaude Fable 5.1 a786a88919 edge results: cold-cache init profile, GPU hardware emulation, CPU thread sweep, edge_final benches 
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 15:23:08 +08:00
tzhouamandClaude Fable 5.1 580a201631 [Edge][WP4] Windowed Code2Wav decoder export (torch.export / ExecuTorch) + client backend; results summarizer 
vllm_omni/edge/decoder_export.py exports a stateless windowed decoder (context
72 frames + chunk, one program per ramp chunk size) via torch.export (.pt2,
verified here on CPU for chunks 2 and 25 with the real 0.6B decoder: exact
match vs eager, 460 MB fp32 per program) or ExecuTorch XNNPACK (.pte; written
against the executorch 1.x API, not executed: package not installed, install
is permission gated; QNN partitioner export-only/unverified). The WP5 client
gains --decoder-backend executorch --pte-manifest for phone/NPU targets.
benchmarks/tts/edge_results/summarize.py renders all committed JSON as tables.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 15:02:19 +08:00
tzhouamandClaude Fable 5.1 37c0ea9a6b [Edge][WP8] Per-step overhead attribution, edge scheduling helpers, CPU thread sweep 
- vllm_omni/edge/step_stats.py: process-local counters enabled by
  VLLM_OMNI_STEP_STATS_DIR (scheduler schedule/update_from_output, engine-core
  step, chunk hop enqueue->put / put->get / get, orchestrator dispatch), dumped
  per process and merged into an attribution table (share of the 80 ms frame).
  Hooks: stage_engine_core_proc (instrument after construction, dump at exit),
  chunk_transfer_adapter (put/get timing, put->get via the shm lock-file mtime),
  orchestrator dispatch loop. Bench: stream_latency_bench.py --step-stats.
- vllm_omni/edge/scheduling.py: playback slack, prefill-throttle decision and
  the no-preemption KV admission rule (exact bytes/token from the talker KV
  geometry); adapt.derive_overrides now sizes max_num_seqs with it and
  auto_profile passes the geometry read from the model config.
- Engine re-reads parallel_stage_init after apply_deploy_profile so the edge
  profile's orchestrator default takes effect (was read before the profile).
- benchmarks/tts/cpu_thread_sweep.py: CPU-only 8/16/32-thread sweep (+inductor)
  with per-step attribution.
- Tests: tests/core/test_edge_scheduling.py, tests/edge/test_step_stats.py,
  tests/benchmarks/test_cpu_thread_sweep.py, profile default test.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 14:55:55 +08:00
tzhouamandClaude Fable 5.1 602e39647e [Edge][WP2] Finalize edge profile init knobs from init_profile; WP4 CPU emulation results 
init_profile 20260909-112200 (1.7B, L20X, warm): default 152.0 s, eager_stage1
149.9 s, eager_both 110.9 s (first TTFA 15 s, no graphs), parallel_stage_init
94.6 s, edge 145.7 s. Edge profile now carries `orchestrator: parallel_stage_init:
true`, applied by the deploy_profile selector (explicit values win); graphs stay on.

hw_emulation 20260909-110229 (CPU venv, 0.6B, deploy_profile=auto):
x86_cpu_avx2 (4c, fp32) TTFA 2.65 s RTF 11.9; x86_cpu_avx512 (8c) TTFA 0.68 s
RTF 2.45; x86_cpu_amx (16c) TTFA 0.51 s RTF 1.72; arm64 logic-only same as avx2.
Emulation rows now record the auto-detected hardware class.

Adds tests/e2e/offline_inference/test_qwen3_tts_edge_profile.py (L3, one GPU).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 14:40:13 +08:00
tzhouamandClaude Fable 5.1 285db2fa3c edge results: WP1 edge-profile stream latency (0.6B/1.7B) + init timelines 
1.7B: TTFA p50 43.9 ms, playback_start 43.9 ms, stall 0 (baseline 32.0 / 116.2 / 84.7).
0.6B: TTFA p50 46.1 ms, playback_start 46.1 ms, stall 0 (baseline 27.8 / 95.4 / 67.3).
RTF unchanged (~0.1). Measured on L20X via gpu run --gpus 1 (canhazgpu).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 11:21:48 +08:00
tzhouamandClaude Fable 5.1 49a839ecf9 [Edge][WP5] Add codec-token streaming mode with on-device decoding 
* qwen3_tts_talker_only pipeline (single terminal LLM_AR stage,
  final_output_type "latent") + vllm_omni/deploy/qwen3_tts_talker_only.yaml;
  a terminal talker publishes its per-step codes.audio rows to the client
  (omni_client_multimodal_output_keys).
* /v1/audio/speech/stream: session.config.output_mode="codec_tokens" streams
  codec.start (JSON) + binary frames (<IHB seq/n_frames/flags + int16 rows,
  vllm_omni/entrypoints/openai/codec_stream.py) + codec.done; new input.cancel
  message aborts an in-flight generation for both codec and PCM sessions
  (single reader task + session inbox replaces direct socket reads); optional
  session.config.seed; audio.done gains "cancelled" only when it happened.
* serving_speech._generate_codec_chunks aligns the cumulative code tensor to
  output token ids (drops prefill placeholder/EOS rows) and emits deltas.
* TTS adapters: supports_codec_stream / codec_stream_spec (Qwen3-TTS: 16
  codebooks, 2048 ids, 12.5 Hz, 24 kHz, decoder qwen3_tts_tokenizer_v2_12hz).
* examples/online_serving/text_to_speech/qwen3_tts/edge_decoder_client.py
  decodes locally with Qwen3TTSTokenizerV2Decoder (ramp schedule, 72-frame
  context, cancel/reset), codec_parity_check.py and
  benchmarks/tts/codec_stream_e2e.py compare against the two-stage server.
* docs/serving/codec_token_streaming.md; CPU unit tests for the wire format,
  alignment, session config and handler (frames, unsupported adapter, cancel);
  L3 e2e tests/e2e/online_serving/test_qwen3_tts_codec_stream.py.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 11:10:13 +08:00
tzhouamandClaude Fable 5.1 35e43b9983 [Edge][WP3] Add CPU OmniPlatform (AR + generation stages on vLLM's CPU backend) 
* vllm_omni/platforms/cpu/platform.py: CPUOmniPlatform(OmniPlatform, CpuPlatform)
  selected when VLLM_TARGET_DEVICE=cpu or a +cpu vLLM wheel is installed
  (builtin plugin "cpu"; explicit CPU target short-circuits accelerator probes
  like vLLM does). NUMA-based memory queries, one logical device, no graph
  wrapper (sentinel type for isinstance checks), inductor opt-in via
  VLLM_OMNI_CPU_INDUCTOR=1, diffusion stages unsupported.
* vllm_omni/platforms/cpu/worker: CPUARWorker / CPUGenerationWorker compose
  vLLM's CPUWorker with the Omni mixin (XPU pattern); CPUARModelRunner /
  CPUGenerationModelRunner compose the Omni runners with CPUModelRunner
  (no graphs, no async omni output; sleep/wake return error ACKs).
* patch.py skips the CuMem patch on CPU-only torch; Qwen3-TTS speaker encoder
  and prompt-embeds dtype follow the model dtype (float32/float16 on CPU).
* vllm_omni/deploy/qwen3_tts.yaml: `platforms: cpu:` overlay (eager, no async
  scheduling, absolute kv_cache_memory_bytes, disjoint OMP thread ranges).
* requirements/cpu.txt (+psutil, intel-openmp), docs/getting_started/installation/cpu.md.

Measured (this x86 Xeon 8480C host, vllm 0.28.0+cpu, bf16, 12+4 threads):
Qwen3-TTS 0.6B CustomVoice end-to-end on CPU, 12 prompts: TTFA p50 292 ms,
RTF ~1.7 (25-frame chunk ~4.6 s), init 185 s. Result JSON + init timeline
committed under benchmarks/tts/edge_results/.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 11:02:14 +08:00
tzhouamandClaude Fable 5.1 55192de984 [Edge][WP4] Add hardware adaptation: probe, derived overrides, auto profile, calibration 
* vllm_omni/edge/hardware_probe.py: HardwareProfile from /proc, /sys and torch
  (ISA flags incl. AVX-512/AMX and NEON/dotprod/i8mm/SVE, physical cores,
  big.LITTLE clusters, NUMA, RAM, CUDA discrete vs Tegra unified memory, NPU
  via override), hardware classes jetson / cuda_discrete / arm64_cpu / x86_cpu /
  npu_phone; VLLM_OMNI_HW_PROFILE=<json> overrides the probe (emulation, tests).
* vllm_omni/edge/adapt.py: derive_overrides -> dtype, absolute KV budgets from
  available memory minus weights, max_num_seqs, per-stage disjoint CPU thread
  ranges on the big cluster, eager/graph switches for small or unified memory,
  adaptive-chunk parameters, timeouts from a load cost model.
* vllm_omni/edge/calibrate.py: chunk-schedule calibration from measured chunk
  arrivals with a per-hardware-fingerprint cache under VLLM_CACHE_ROOT.
* vllm_omni/edge/auto_profile.py + deploy_profile="auto": edge/<model>.yaml ->
  edge/hardware/<class>.yaml -> derived overrides -> cached calibration,
  materialized as a temp deploy YAML (platform overlays are superseded).
* benchmarks/tts/hw_emulation.py: emulated classes (ATEN_CPU_CAPABILITY,
  taskset, profile overrides) driving stream_latency_bench with auto profiles.
* CPU-only tests for probe snapshots, derivation rules, calibration and auto.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 11:01:40 +08:00
tzhouamandClaude Fable 5.1 073d31b9cd [Edge][WP2] Add initialization timeline and cold-start profiler 
* vllm_omni/engine/init_timeline.py: InitTimeline phase collector; engine
  phases (stages_init, g3_device_lock, g2_spawn/ready) and worker phases
  (proc_entry, engine_core_init, init_device, load_model/load_weights,
  talker_mtp_init, attn_prewarm, cudagraph_capture, talker_mtp_capture,
  code2wav_cudagraph, predictor_setup_compile/warmup/cudagraph) recorded via
  worker_phase/timed_phase; workers append JSONL under
  VLLM_OMNI_INIT_TIMELINE_DIR (inherited at spawn) and the engine merges them.
  Enabled by VLLM_OMNI_INIT_TIMELINE=<json> or log_stats; table logged at INFO,
  partial table on orchestrator startup timeout, suggested timeouts logged.
* omni_base.py: named deploy profiles default to stage_init_timeout=900 /
  init_timeout=1500 unless given explicitly.
* gpu_model_runner._init_talker_mtp tolerates max_cudagraph_capture_size=None;
  gpu_ar_model_runner.shutdown skips CUDA graph teardown on CPU.
* benchmarks/tts/init_profile.py: runs stream_latency_bench --init-only per
  configuration (default, cold_cache, eager_stage1, eager_both,
  parallel_stage_init, edge, ...) and tabulates phase durations.
* stream_latency_bench: --parallel-stage-init / --deploy-profile flags; the
  resource poller no longer shadows Thread._stop and skips GPU sampling on CPU.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 11:01:39 +08:00
tzhouamandClaude Fable 5.1 f804bbd679 [Edge][WP0] Record Qwen3-TTS streaming baselines on 1x L20X 
Default deploy config (1 -> 25 frame schedule), 12 prompts x 3 repeats,
warm-up excluded, one GPU via `gpu run`:
  1.7B CustomVoice: TTFA p50 32.0 ms, playback-start p50 116 ms (stall at
    TTFA 85 ms), RTF_total 0.086, chunk gap p50 163 ms, init 271 s (cold caches)
  0.6B CustomVoice: TTFA p50 27.8 ms, playback-start p50 95 ms (stall 67 ms),
    RTF_total 0.077, chunk gap p50 146 ms, init 152 s
Per-request chunk arrivals, memory and the full summaries are in the JSON
(force-added: *.json is gitignored repo-wide).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 10:49:37 +08:00
tzhouamandClaude Fable 5.1 b70207f57f [Edge][WP0] Add offline streaming-latency benchmark for chunked TTS 
Adds benchmarks/tts/stream_latency_bench.py (AsyncOmni driver reusing the
Qwen3-TTS example's prompt builder; --model override, warm-up/repeat,
--init-only, per-chunk arrivals, peak RSS and per-process GPU memory) and
benchmarks/tts/stream_latency_metrics.py (TTFA, underrun-free playback start,
stall at TTFA, RTF streamed/total, chunk gaps, percentiles) with CPU unit
tests. Results go under benchmarks/tts/edge_results/stream_latency/.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-09 10:24:53 +08:00
Weiming LiaoandGao Han 1cd92553cf [CI][Bugfix] Use the matching checkpoint for Qwen3-TTS VoiceDesign tests (#7054) 
Signed-off-by: Weiming Liao <liaowm5@gmail.com>
Signed-off-by: Gao Han <hgaoaf@connect.ust.hk>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
 2026-09-06 04:27:21 +00:00
0z5aand0z5a 4927fd5412 [Core] Optimize diffusion LoRA expand accumulation (#6268) 
Signed-off-by: 0z5a <0z5a@users.noreply.github.com>
Signed-off-by: 0z5a <dinadegttyarenko6@gmail.com>
Co-authored-by: 0z5a <0z5a@users.noreply.github.com>
 2026-09-03 10:37:35 +08:00
DanaerLee ca6b4e2112 [Perf][Bugfix][OmniVoice] Restore float16 serving, and fuse the generator hot loop (#6317) 
Signed-off-by: MrlixiangWE <mrdanaer@gmail.com>
 2026-09-02 19:54:55 +00:00
Allen WuTRAE CLISy03TRAE CLI
 		f90e992dc1 [Model] Optimize CosyVoice3 TensorRT stream handoff (#5673) 
Signed-off-by: Allen Wu <allenwu2795@gmail.com>
Co-authored-by: TRAE CLI <noreply@bytedance.com>
Co-authored-by: Sy03 <1370724210@qq.com>
Co-authored-by: TRAE CLI <traecli@bytedance.com>
 2026-08-25 22:51:46 -07:00
Yukim1 6f55a06fab [Docs] Remove stale stage config references (#6270) 
Signed-off-by: zwhzzz0821 <2831474076@qq.com>
 2026-08-20 07:09:12 +08:00
Hongsheng Liu 8b8d3f56db [Misc] Consolidate LingBot text-to-video runner (#6076) 
Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com>
 2026-08-13 08:42:37 +08:00
Shi Boao Bowie汪志鹏ruirui yangamy-why-3459Gao HanHongsheng Liu
 		fcf1085395 [Refactor][OutputProcessor 2/8]: OmniRequestOutput should inherit RequestOutput and no nested wrap-up (#5146) 
Signed-off-by: Boao Shi <aoibosh@connect.hku.hk>
Signed-off-by: bowieshi <aoibosh@connect.hku.hk>
Signed-off-by: princepride <wangzhipeng628@gmail.com>
Signed-off-by: R2-Y <ruiruyang2@gmail.com>
Signed-off-by: amy-why-3459 <wuhaiyan17@huawei.com>
Signed-off-by: Shi Boao Bowie <aoibosh@connect.hku.hk>
Co-authored-by: 汪志鹏 <wangzhipeng628@gmail.com>
Co-authored-by: ruirui(rein) yang <73573651+R2-Y@users.noreply.github.com>
Co-authored-by: amy-why-3459 <wuhaiyan17@huawei.com>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
 2026-08-12 22:58:23 +08:00
Sy03andYueqian Lin 58007c0084 [New Model] Support IndexTTS 2.5 (#5957) 
Signed-off-by: Sysy <1370724210@qq.com>
Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
 2026-08-11 23:00:35 +00:00
WeiQing Chen a874b8e09b [Perf][CI] Add MiniMax-H3 4xH100 diffusion perf config (#5836) 
Signed-off-by: David Chen <530634352@qq.com>
 2026-08-07 00:12:07 +08:00
wtz2333andhsliuustc0106 5a6a93dc5f [diffusion][model] Add LingBot Video dense and MoE support (#5035) 
Signed-off-by: hsliuustc0106 <liuhongsheng4@huawei.com>
Signed-off-by: wtz2333 <2955110911@qq.com>
Co-authored-by: hsliuustc0106 <liuhongsheng4@huawei.com>
 2026-07-21 17:27:29 +08:00
bjf-frz b14ff23041 [PERF][CI]Add Cosmos3 diffusion perf config (#5010) 
Signed-off-by: bjf-frz <frz123db@gmail.com>
 2026-07-14 10:25:17 +00:00
faceless void 11f6a0b72e Make speech streaming default to SSE (#4679) 
Signed-off-by: syd520zy <529477025@qq.com>
 2026-06-30 02:17:24 +00:00
Canlin Guo 2e6c83c89c [Model] Support MOSS-TTS-local-v1.5 (#4664) 
Signed-off-by: gcanlin <canlinguosdu@gmail.com>
 2026-06-25 15:43:03 +08:00
bjf-frz 2447740308 [Perf]perf: skip unused Cosmos3 I2V conditioning latents (#4614) 
Signed-off-by: bjf-frz <frz123db@gmail.com>
 2026-06-22 09:51:47 +00:00
NATUREandAlicia 83e3b129f0 [Bugfix] Fix missing memory metrics info for bagel (ar->dit diffusion) (#4477) 
Signed-off-by: natureofnature <wzliu@connect.hku.hk>
Co-authored-by: Alicia <115451386+congw729@users.noreply.github.com>
 2026-06-17 14:06:14 +08:00
汪志鹏Yufeng ZhuZhengyuan SuClaude Opus 4.6Cursor
 		46e0b71423 [Enhancement] Introduce High-Performance MoT (Mixture-of-Tokens) Kernels: Triton Implementation (#3960) 
Signed-off-by: Yufeng Zhu <yzhu802@gatech.edu>
Signed-off-by: 汪志鹏 <wangzhipeng628@gmail.com>
Signed-off-by: princepride <wangzhipeng628@gmail.com>
Signed-off-by: Zhengyuan Su <su.zhengyuan@u.nus.edu>
Co-authored-by: Yufeng Zhu <yzhu802@gatech.edu>
Co-authored-by: Zhengyuan Su <su.zhengyuan@u.nus.edu>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
 2026-06-16 03:08:02 +00:00
Sy03Yueqian LinHongsheng Liu
 		e27fd46ab9 [Perf] Optimize Higgs Audio v3 serving (#4204) 
Signed-off-by: Sy03 <1370724210@qq.com>
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
 2026-06-11 13:29:31 -07:00
Jianbao Huang 6cefe91370 [Perf] Enable fused RMSNorm for HunyuanImage3 (#3959) 2026-06-05 07:41:56 +00:00
Zhang JianandCanlin Guo b550709bba [TTS][Model] support MOSS-TTS series (#3420) 
Signed-off-by: Zhang <jianmusings@gmail.com>
Signed-off-by: Zhang Jian <jianmusings@gmail.com>
Signed-off-by: jian <jianmusings@gmail.com>
Signed-off-by: Canlin Guo <961750412@qq.com>
Co-authored-by: Canlin Guo <961750412@qq.com>
 2026-06-02 15:46:01 +08:00
+1
Zhou TaichangClaude Opus 4.7skfZheng WengangHongsheng LiuWeiQing ChenSYLARYueqian Linnainiu258JasonYueqian Lin
 		f92d84fcf9 [Rebase] Rebase to vllm releases/v0.22.0 (#3891) 
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Signed-off-by: ZhengWG <zwg0606@gmail.com>
Signed-off-by: david6666666 <530634352@qq.com>
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
Signed-off-by: nainiu258 <cperfect02@163.com>
Signed-off-by: nainiu258 <101917677+nainiu258@users.noreply.github.com>
Signed-off-by: JasonJ2021 <jasonj@zju.edu.cn>
Signed-off-by: Zhou Taichang <tzhouam@connect.ust.hk>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: skf <54565339+skf-1999@users.noreply.github.com>
Co-authored-by: Zheng Wengang <zwg0606@gmail.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: WeiQing Chen <40507679+david6666666@users.noreply.github.com>
Co-authored-by: SYLAR <125541396+lishunyang12@users.noreply.github.com>
Co-authored-by: Yueqian Lin <linyueqian@outlook.com>
Co-authored-by: nainiu258 <101917677+nainiu258@users.noreply.github.com>
Co-authored-by: Jason <72191212+JasonJ2021@users.noreply.github.com>
Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
 2026-06-01 11:08:12 +08:00
ChenWenjingandGao Han 834abdaf8b [ci][nightly] Voxcpm2 performance benchmark (#3864) 
Signed-off-by: CHEN <116010019@link.cuhk.edu.cn>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
 2026-05-29 09:44:29 +08:00
WeiQing ChenlishunyangGao Han
 		126fb4b4a9 [Blackwell][1/N] Add SageAttention3 diffusion backend on blackwell(GB200/B200/RTX5090/PRO6000/DGX Spark available) (#3015) 
Signed-off-by: lishunyang <lishunyang12@163.com>
Signed-off-by: WeiQing Chen <40507679+david6666666@users.noreply.github.com>
Co-authored-by: lishunyang <lishunyang12@163.com>
Co-authored-by: Gao Han <hgaoaf@connect.ust.hk>
 2026-05-28 14:08:45 +00:00
SYLARfrauttauteffasuZhang Jian
 		373d3c7476 [Blackwell] Add CUDNN_ATTN and FLASHINFER_ATTN backends for diffusion (auto-route) (#3079) 
Signed-off-by: lishunyang <lishunyang12@163.com>
Signed-off-by: Zhang <jianmusings@gmail.com>
Signed-off-by: Zhang Jian <jianmusings@gmail.com>
Co-authored-by: frauttauteffasu <247219357+frauttauteffasu@users.noreply.github.com>
Co-authored-by: Zhang Jian <jianmusings@gmail.com>
 2026-05-28 11:09:25 +08:00
Dnoob a3802d1e5c [Doc][Benchmark] Rewrite benchmarks/README.md as repo-wide index (#1939) 
Signed-off-by: root <Dnoob>
Signed-off-by: Dnoob <dxpouo@gmail.com>
 2026-05-26 16:13:31 -10:00
dengyunyang 36eb8afba5 [HunyuanImage][End2End Performance CI] Add hunyuan end2end test (#3849) 
Signed-off-by: dengyunyang <584797741@qq.com>
 2026-05-26 16:45:05 +08:00
Yuanheng Zhao 2bc9cb7f13 [Feat] Support online quantization (fp8/int8) for LTX-2 (#3700) 
Signed-off-by: Yuanheng Zhao <jonathan.zhaoyh@gmail.com>
Signed-off-by: yuanheng <jonathan.zhaoyh@gmail.com>
 2026-05-21 19:52:21 +08:00
NumberWan 474710dda9 [Benchmark] Route i2i/ti2i to POST /v1/images/edits in diffusion_benchmark_serving (#3693) 
Signed-off-by: NumberWan <wantszkin2003@gmail.com>
 2026-05-21 17:18:02 +08:00
Yueqian Lin fc8486cf20 [Doc][TTS] CosyVoice3 online docs + residual TTS yaml cleanup + remove VoxCPM v1 (#3748) 
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
 2026-05-20 15:24:06 +08:00
Yueqian LinandHongsheng Liu f99e8b2d3c [Bench] Add audio-streaming continuity metric for TTS (#3618) 
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
 2026-05-20 05:08:56 +00:00
bjf-frzandbjfwhite 1fa734419e [Refactor]Rename diffusion benchmark backend to endpoint (#3137) 
Signed-off-by: bjf-frz <frz123db@gmail.com>
Signed-off-by: bjfwhite <baijingfan1@huawei.com>
Co-authored-by: bjfwhite <baijingfan1@huawei.com>
 2026-05-19 11:30:33 +08:00
Lancer dbc589dbca [Bugfix] fix diffusion quantization benchmarking for Omni outputs (#3653) 
Signed-off-by: Lancer <maruixiang6688@gmail.com>
 2026-05-18 17:23:40 +08:00
Yueqian Lin c4f859bf56 [CI] Harden Qwen3-TTS perf nightly: enable Base voice_clone, add c=64/128, 2-GPU split (#3491) 
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
 2026-05-14 14:26:59 +08:00