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24 Commits

Author SHA1 Message Date
Yihan Wang
9df4dad3b6
[None][fix] Introduce inline namespace to avoid symbol collision (#9541) 
Signed-off-by: Yihan Wang <yihwang@nvidia.com>
 2025-12-12 23:32:15 +08:00
Neta Zmora
1d6fbbf45d
[#9236][feature] Make sharing of activation_type across SW layers more robust (#9238) 
C++, Python and Python MoE layer all share the definition of ActivationType.
Currently this is done thru redefinition which is fragile and can break when adding new activation function types.

tensorrt_llm/_torch/utils.py
cpp/tensorrt_llm/kernels/cutlass_kernels/include/common.h
=>
tensorrt_llm/layers/moe.py
cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
 2025-11-20 16:06:58 +08:00
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
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
Jinyang Yuan
0a0f93d4a8
[None][fix] Fix the performance issue of FP8 blockwise grouped GEMM when using attention DP (#8501) 
Signed-off-by: Jinyang Yuan <154768711+jinyangyuan-nvidia@users.noreply.github.com>
 2025-10-27 10:18:19 +08:00
Min Yu
0a0159fdd8
[https://nvbugs/5378031] [feat] W4A8 AWQ MoE supports Per Expert Pre-quant Scale Factor for PyT backend (#7286) 
Signed-off-by: Min Yu <171526537+yumin066@users.noreply.github.com>
 2025-10-16 11:07:48 +08:00
Void
336c2ef540
[None][feat] DeepEP LL fp8 dispatch/combine (#7927) 
Signed-off-by: Yilin Zhang <18275976+yilin-void@users.noreply.github.com>
 2025-09-25 09:20:24 +08:00
xiweny
c076a02b38
[TRTLLM-4629] [feat] Add support of CUDA13 and sm103 devices (#7568) 
Signed-off-by: Xiwen Yu <13230610+VALLIS-NERIA@users.noreply.github.com>
Signed-off-by: Tian Zheng <29906817+Tom-Zheng@users.noreply.github.com>
Signed-off-by: Daniel Stokes <dastokes@nvidia.com>
Signed-off-by: Zhanrui Sun <zhanruis@nvidia.com>
Signed-off-by: Xiwen Yu <xiweny@nvidia.com>
Signed-off-by: Jiagan Cheng <jiaganc@nvidia.com>
Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Signed-off-by: Bo Deng <deemod@nvidia.com>
Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com>
Signed-off-by: xiweny <13230610+VALLIS-NERIA@users.noreply.github.com>
Co-authored-by: Tian Zheng <29906817+Tom-Zheng@users.noreply.github.com>
Co-authored-by: Daniel Stokes <dastokes@nvidia.com>
Co-authored-by: Zhanrui Sun <zhanruis@nvidia.com>
Co-authored-by: Jiagan Cheng <jiaganc@nvidia.com>
Co-authored-by: Yiqing Yan <yiqingy@nvidia.com>
Co-authored-by: Bo Deng <deemod@nvidia.com>
Co-authored-by: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com>
 2025-09-16 09:56:18 +08:00
Daniel Stokes
e0253ee805
[None][perf] Disable Swap AB when num tokens exceeds N dimension (#7104) 
Signed-off-by: djns99 <40156487+djns99@users.noreply.github.com>
 2025-08-28 21:29:55 -04:00
Bo Li
bf1b958f1a
[TRTLLM-7319][perf] Fuse slicing into MoE. (#6728) 
Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Sergey Klevtsov <sklevtsov@nvidia.com>
Co-authored-by: Sergey Klevtsov <sklevtsov@nvidia.com>
 2025-08-25 16:52:30 -04:00
Daniel Stokes
f7c597ec40
[None][perf] Make finalize fusion part of the tactic selection logic (#6915) 
Signed-off-by: djns99 <40156487+djns99@users.noreply.github.com>
 2025-08-21 14:08:03 -07:00
Sergey Klevtsov
27fc35175e
[None][feat] CUTLASS MoE FC2+Finalize fusion (#3294) 
Signed-off-by: Sergey Klevtsov <sklevtsov@nvidia.com>
 2025-08-12 15:56:48 +08:00
NVJiangShao
2f2f5cc72c
[TRTLLM-6744][feat] Remove input_sf swizzle for module WideEPMoE (#6231) 
Signed-off-by: Jiang Shao <91270701+StudyingShao@users.noreply.github.com>
 2025-08-08 11:13:42 +08:00
hlu1
8207d5fd39
[None] [feat] Add model gpt-oss (#6645) 
Signed-off-by: Hao Lu <14827759+hlu1@users.noreply.github.com>
 2025-08-07 03:04:18 -04:00
Daniel Stokes
ae28b3a664
feat: Add support for benchmarking individual gemms in MOE benchmark (#6080) 
Signed-off-by: Daniel Stokes <40156487+djns99@users.noreply.github.com>
 2025-07-18 09:00:12 +12:00
Daniel Stokes
ec6c7dff1a
feat: Add support for MXFP8xMXFP4 in pytorch (#5535) 
Signed-off-by: Daniel Stokes <40156487+djns99@users.noreply.github.com>
 2025-07-06 15:32:06 -07:00
Xiaowei Wang
32dfdfba30
feat: fuse w4a8 moe pre-quant scale on Hopper (#5613) 
Signed-off-by: Xiaowei Wang <100599594+xiaoweiw-nv@users.noreply.github.com>
 2025-07-01 23:02:41 -04:00
Li Min
16fc99391f
refactor: [TRTLLM-6150] Refactor moe permute and finalize op by removing duplicated code (#5557) 
Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>
 2025-06-30 08:48:04 -07:00
Enwei Zhu
b4dab23e7b
[TRTLLM-5965] perf: Optimize MoE sort kernels for large-scale EP (#5435) 
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
 2025-06-30 01:02:07 +08:00
Daniel Stokes
5773cfdcf2
feat: Add support for per expert activation scaling factors (#5013) 
Signed-off-by: Daniel Stokes <40156487+djns99@users.noreply.github.com>
 2025-06-28 09:10:35 +12:00
Daniel Stokes
942841417e
opensource: Opensource MOE MXFP8-MXFP4 implementation (#5222) 
Signed-off-by: Daniel Stokes <40156487+djns99@users.noreply.github.com>
 2025-06-26 12:18:19 +08:00
Enwei Zhu
4b82b8b4c7
[TRTLLM-5330] perf: Optimize MoE supplementary kernels for large-scale EP (#5215) 
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
 2025-06-17 15:23:24 +08:00
Tracin
ef3fdc8051
feat: Add w4a8_mxfp4_fp8 quantization recipe. (#4867) 
Signed-off-by: Tracin <10434017+Tracin@users.noreply.github.com>
 2025-06-16 11:30:57 +08:00
yunruis
30c5b4183a
refactoring: port customized kernels with public cutlass version (#5027) 
Signed-off-by: yunruis 

Merge this to unblock others since the full CI has been run through
 2025-06-13 16:19:31 +08:00