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899fda9e47
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930 Commits

Author SHA1 Message Date
mpikulski
899fda9e47
[TRTLLM-9490][feat] use FlashInfer's top_k_sampling_from_probs (#9457) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-25 18:53:53 +01:00
mpikulski
c5f52ab304
[TRTLLM-8376][feat] top-p optimization (removes redundant softmax) (#9411) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-25 18:46:48 +01:00
YueWeng
cc336c4abd
[TRTLLM-8160][feat] Add draft token tree runtime on CDL (#8586) 
Signed-off-by: Yue Weng <25103990+yweng0828@users.noreply.github.com>
 2025-11-25 09:40:55 -05:00
Pengyun Lin
fa61825c74
[None][feat] Support custom chat template for tool calling (#9297) 
Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>
 2025-11-25 22:07:04 +08:00
Tailing Yuan
51ef0379d2
[None][feat] Add a parser to layer-wise benchmarks (#9440) 
Signed-off-by: Tailing Yuan <yuantailing@gmail.com>
 2025-11-25 05:45:16 -08:00
William Zhang
a4049fc557
[#9413][fix] Minor fixes to nemotron H and custom models in AD (#9416) 
* Why?

There were a couple of issues with the recently merged custom model
injection for AutoDeploy + the reference implementation of nemotron
H:
- `d_mlp` was left in despite being mathematically always null (could
  lead to runtime issues during sharding).
- the custom model mapping was inherited by children factories.

* What?

This commit fixes these issues, and refactors the key of the custom
implementation to be based on the name of the configuration class as
well.

Signed-off-by: William Zhang <133824995+2ez4bz@users.noreply.github.com>
 2025-11-24 20:17:33 -08:00
Suyog Gupta
efd503751f
[#9271][perf] Enable multi-stream MOE optimization in AutoDeploy (#9322) 
Signed-off-by: Suyog Gupta <41447211+suyoggupta@users.noreply.github.com>
 2025-11-24 19:50:10 -08:00
Fanrong Li
5a99c9734d
[TRTLLM-8777][feat] Update DeepGEMM to the latest commit to include optimizations for DeepSeek-v3.2 (#9380) 
Signed-off-by: Fanrong Li <23290157+lfr-0531@users.noreply.github.com>
 2025-11-25 08:58:08 +08:00
QI JUN
786d308b88
[https://nvbugs/5685428][fix] fix test_openai_chat_multimodal.py (#9406) 
Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
 2025-11-24 16:56:33 -08:00
bhsueh_NV
1a93583438
[None][feat] Support Yarn on QwQ-32B model (#9059) 
Signed-off-by: bhsueh <11360707+byshiue@users.noreply.github.com>
Signed-off-by: Jiang Shao <91270701+StudyingShao@users.noreply.github.com>
Co-authored-by: NVJiangShao <91270701+StudyingShao@users.noreply.github.com>
 2025-11-25 07:27:28 +08:00
Yibin Li
1ce483c999
[TRTLLM-7967][feat] Adding Starcoder2 PyTorch Backend Support (#8923) 
Signed-off-by: Yibin Li <109242046+yibinl-nvidia@users.noreply.github.com>
 2025-11-24 11:23:22 -08:00
QI JUN
34a6d2d28f
[TRTLLM-9302][chore] Move build config from BaseLlmArgs to TrtLlmArgs (#9249) 
Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
 2025-11-24 10:54:41 +08:00
William Zhang
11a0b276fb
[#9230][feat] Slimmed down implementation of nemotron H (#9235) 
* Why?

The reference nemotron H code on HuggingFace is out of date,
and therefore bugged, and has several untested code paths.
This makes an already hairy patching system even hairier.

The proposal is to do away with those patches, and replace the
original implementation with one that is heavily slimmed down.

* What?

This PR sets the basis for an alternative path with such a 
slimmed down implementation that:
- fixes bugs in the current HF implementation
- adds no new dependencies to TensorRT-LLM
- does away with unnecessary features for TensorRT-LLM/
  AutoDeploy:
- no training related code (dropout, gradient checkpointing, etc.)
- no caching logic (we want to replace it with our own anyway)
- no attention masking where possible
- reuses existing AD custom ops for mamba SSM update /
   causal conv1d / attention

In order for the above to be usable in the AD apparatus,
`AutoModelForCausalLMFactory` is extended to allow registrations
of custom model implementations.

Signed-off-by: William Zhang <133824995+2ez4bz@users.noreply.github.com>
 2025-11-23 03:13:32 -08:00
Enwei Zhu
13fbd4366a
[TRTLLM-9370][feat] Integration of CuteDSL NVFP4 grouped GEMM (Part 2: SwiGLU Fusion and Finalize Fusion) (#9288) 
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
 2025-11-21 14:03:38 -08:00
mpikulski
cddc7549d1
[TRTLLM-9191][feat] support out-of-tree models in trtllm-serve (#9269) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-21 04:23:47 -08:00
mpikulski
095b6864a8
[TRTLLM-8650][fix] beam search request validation (#8433) (#9228) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-21 04:08:45 -08:00
Zhanrui Sun
62e20a5441 [None][infra] Remove invaild waived tests which not in release branch (#8841) 
Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
 2025-11-20 12:43:13 -05:00
Dom Brown
0c8de1f45d [https://nvbugs/5575841] [test] Move test_moe.py to serial tests to improve stability + unwaive FP4 MoE torch unit tests (#8422) 
Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
 2025-11-20 12:43:13 -05:00
Guoming Zhang
af3900a195 [https://nvbugs/5504095][fix] Unwaive test_user_specify_workspace case. (#8316) 
Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
 2025-11-20 12:43:13 -05:00
Simeng Liu
9286223288 [https://nvbugs/5515753][ci] Add NCCL_DEBUG=INFO flag to collect more info with CI failure. (#8440) 
Signed-off-by: Simeng Liu <simengl@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
 2025-11-20 12:43:13 -05:00
JunyiXu-nv
ee6944bfa2 [https://nvbugs/5569713][fix] Disable fp8 deep gemm for EXAONE-4.0-32B-FP8 (#8429) 
Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
 2025-11-20 12:43:13 -05:00
mpikulski
a39e8c5567
[TRTLLM-9295][fix] use greedy decoding in test_openai_compatible_json_schema (#9305) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-20 08:32:23 +01:00
Chang Liu
79a6c9742b
[None][fix] Use fp32 for indexer weight_proj GEMM (#9243) 
Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
 2025-11-19 21:52:38 -08:00
Yukun He
b6bced83c0
[TRTLLM-7963][feat] Use CUDAGraph to improve the tuning accuracy for AutoTuner. (#9089) 
Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
 2025-11-20 08:54:29 +08:00
NVShreyas
1eae941d77
[#9237][feat] enable iter stats in autodeploy (#9278) 
Signed-off-by: Shreyas Misra <shreyasm@nvidia.com>
 2025-11-19 19:29:29 +01:00
Neta Zmora
7ab02ad7b5
[None][feature] AutoDeploy: tighter MoE UT thresholds (#9195) 
Scale down the weights in the MoE test so that the output has reasonable magnitude, allowing for tighter atol and rtol

Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>
 2025-11-19 08:37:51 -08:00
Bo Li
d8b05894ee
[None][perf] Adjust select_alltoall_method_type. (#8950) 
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
 2025-11-19 07:43:55 -08:00
mpikulski
46dd9886bb
[https://nvbugs/5661877][fix] fix test regression in TestBatchedSampling::test_samples (#9215) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-19 01:44:44 -08:00
CarstyYou
ee941ac779
[https://nvbugs/5456493][feat] add fp8 dense for sm120 (#9174) 
Signed-off-by: CarstyYou <186021327+CarstyYou@users.noreply.github.com>
 2025-11-19 14:40:34 +08:00
ChristinaZ
941a54c66a
[None][feat] Update the indexer topK (#9255) 
Signed-off-by: Christina Zhang <83400082+ChristinaZ@users.noreply.github.com>
 2025-11-19 11:49:00 +08:00
Patrice Castonguay
9b0f45298f
[None][feat] Have ability to cancel disagg request if KV cache resource are exhausted (#9155) 
Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>
 2025-11-18 20:59:17 -05:00
Enwei Zhu
7c4777a571
[TRTLLM-9286][feat] Integration of CuteDSL NVFP4 grouped GEMM (#8880) 
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
 2025-11-18 17:40:12 -08:00
Ziyi Xiong
7c4344b92e
[https://nvbugs/5590408][fix] Exclude num of draft tokens from mMaxSeqLenKv (#9210) 
Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>
 2025-11-18 15:41:56 -05:00
mpikulski
04fb481da3
[TRTLLM-9295][fix] restore greedy sampling in _test_openai_chat_guided_decoding (#9178) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-18 09:41:59 -08:00
Zheyu Fu
c4e02d7f04
[TRTLLM-8136][feat] Dynamic draft length in spec decode (stage 1). (#8194) 
Signed-off-by: Zheyu Fu <zheyuf@NVIDIA.com>
 2025-11-18 11:13:39 -05:00
Robin Kobus
df41f220a2
[TRTLLM-8831][feat] Enable early exit with overlap scheduler (#8587) 
Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
 2025-11-17 18:07:13 +01:00
Kaiyu Xie
04be5a704e
[None] [fix] Fix missing ActivationType issue (#9171) 
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>
Co-authored-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Co-authored-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>
 2025-11-17 10:43:25 +08:00
Anthony Chang
86cfb3ea7e
[None][feat] Update TRTLLM MoE cubins; reduce mxfp4 weight padding requirement; tighten TMA bound (#9025) 
Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>
 2025-11-17 10:04:29 +08:00
sunnyqgg
7862b15a65
[TRTLLM-8778][feat] Add tree attention support for blackwell arch (#8975) 
Signed-off-by: qgai <qgai@nvidia.com>
 2025-11-17 09:01:53 +08:00
Erin
fe69243157
[None][chore] Add placement test for ray executor (#9122) 
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>
 2025-11-14 23:10:59 -08:00
mpikulski
80bf840e69
[TRTLLM-9295][fix] unflake test_overlap_scheduler.py::test_overlap_scheduler_consis… (#9146) 
Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>
 2025-11-14 11:36:22 +01:00
Suyog Gupta
d12cb9436d
[None][feat] Autodeploy add triton configs and optimize mamba prefill (#9083) 
Signed-off-by: Suyog Gupta <41447211+suyoggupta@users.noreply.github.com>
 2025-11-13 19:15:43 -08:00
heyuhhh
f07e9977c6
[None] [feat] Use triton kernels for RocketKV prediction module (#8682) 
Signed-off-by: yuhangh <58161490+heyuhhh@users.noreply.github.com>
 2025-11-13 18:51:09 -08:00
Tailing Yuan
cc4c980e03
[None][feat] Add Qwen3-Next to layer-wise benchmarks (#9065) 
Signed-off-by: Tailing Yuan <yuantailing@gmail.com>
 2025-11-14 10:03:00 +08:00
JunyiXu-nv
fdb0787e85
[None][chore] Support json_schema in response_format (#8934) 
Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>
 2025-11-14 09:43:13 +08:00
Neta Zmora
34dc6869f3
[#8732][feat] Update TRTLLM Cutlass MoE kernels with ReLU2 (#9011) 
Update TRTLLM Cutlass MoE kernels with ReLU2 activation.

Nemotron-6 requires ReLU2 (i.e. squared ReLU) MoE activation function.
The PR adds this and adds an API to set the activation function, in general.
The ReLU2 changes are based on this FlashInfer PR: https://github.com/flashinfer-ai/flashinfer/pull/1954.

The PR also updates the Auto Deploy MoE backend for 16-bit and FP8 from
Triton (`torch.ops.auto_deploy.triton_moe_fused`, `torch.ops.auto_deploy.triton_quant_fp8_moe`) to TRTLLM/Cutlass (`torch.ops.auto_deploy.trtllm_moe_fused`, `torch.ops.auto_deploy.trtllm_quant_fp8_moe_fused`).

Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>
Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
Co-authored-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
 2025-11-13 16:54:45 -08:00
dongxuy04
a370643b26
[None][fix] support topk autotuner input for expert slot per group larger than 32 (#9087) 
Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com>
 2025-11-14 08:37:20 +08:00
Frida Hou
e96a3d294d
[None][autodeploy] minor refactor to rmsnorm transforms (#8657) 
Signed-off-by: Fridah-nv <201670829+Fridah-nv@users.noreply.github.com>
 2025-11-13 13:13:58 -08:00
Ziyi Xiong
a7aaf50541
[TRTLLM-8084][feat] Enhance the overlap shceduler for two-model spec decoding (#8706) 
Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>
 2025-11-13 10:20:16 -05:00
William Zhang
121140cfec
[None][fixes] Add tool call parsing fixes and Qwen3 coder parser (#8817) 
Signed-off-by: William Zhang <133824995+2ez4bz@users.noreply.github.com>
 2025-11-13 04:34:38 -08:00