Anthony Chang
225d3a9001
[None][perf] TRTLLM MoE maps to lower tuning buckets when ep>1 ( #9998 )
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Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>
2026-01-05 17:16:12 +01:00
Yukun He
d272f1a9bc
[TRTLLM-8821][feat] Apply AutoTuner to AllReduce Op for strategy tuning. ( #8531 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2026-01-05 15:44:37 +08:00
Cheng Hang
656c705ff1
[None][feat] sm100 weight-only kernel ( #10190 )
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Signed-off-by: Cheng Hang <chang@nvidia.com>
2026-01-05 09:44:36 +08:00
dongfengy
afc533193d
[None][feat] Support nvfp4 for gptoss ( #8956 )
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Signed-off-by: Dongfeng Yu <dongfengy@nvidia.com>
2026-01-04 08:57:44 -05:00
Jin Li
7e4cef9def
[None][fix] Cherry-pick conflict changes for PR 7999 PR 8515 ( #9446 )
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Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
2025-12-25 10:23:04 -05:00
ZhichenJiang
46e4af5688
[TRTLLM-9831][perf] Enable 2CTA with autotune for CuteDSL MoE and Grouped GEMM optimizations ( #10201 )
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Signed-off-by: zhichen jiang <zhichenj@NVIDIA.com>
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Co-authored-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-12-25 09:04:20 -05:00
Yukun He
595daa5089
[TRTLLM-9615][feat] Support synchronization through PP ranks in the distributed tuning system ( #10011 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-24 15:03:10 +08:00
Balaram Buddharaju
8c1cfc872b
[TRTLLM-9493][feat] Custom AllToAll for helix parallelism ( #9986 )
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Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>
2025-12-23 18:14:30 -08:00
Li Min
1e82ff7a0c
[TRTLLM-9989][fix] Fix tvm_ffi aaarch64 issue. ( #10199 )
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Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>
2025-12-23 10:20:40 +08:00
Enwei Zhu
21a93fbf9d
[TRTLLM-9992][perf] Enable PDL for CuteDSL kernels and overlap MoeOutputMemset ( #10043 )
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Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-12-20 03:12:41 -05:00
ZhichenJiang
4e55b83101
[None][perf] Add more optimization options for MOE CuteDSL finalized kernel ( #10042 )
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Signed-off-by: zhichen jiang <zhichenj@NVIDIA.com>
2025-12-18 22:49:28 +08:00
Yukun He
18b335d584
[TRTLLM-9989][fix] Disable tvm_ffi for CuteDSL nvFP4 dense GEMM. ( #10040 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-17 00:41:26 -08:00
Yukun He
2fd1a23e4c
[TRTLLM-9998][fix] Change trtllm-gen MoE distributed tuning strategy back to INDEPENDENT ( #10036 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-17 00:35:22 -08:00
Yukun He
9e7182b603
[TRTLLM-9615][feat] Implement a distributed tuning system ( #9621 )
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Four distinct strategies are implemented to accommodate different distributed tuning scenarios, including BROADCAST, INDEPENDENT, MERGE, PARALLEL.
* Distributed tuning is disabled by default, with the INDEPENDENT strategy as the fallback. This conservative approach prevents unexpected behavior in standard use cases.
* Only operations with significant tuning time overhead have been assigned the PARALLEL strategy, which allows the same tensor parallelism (TP) rank to tune tactics concurrently across different ranks. This targeted approach balances performance gains with stability.
* Operations with nested tuning structures, such as NVFP4GemmUnifiedRunner, currently support only the INDEPENDENT strategy. This restriction exists because the synchronization mechanism is optimized only for leaf operations and doesn't yet handle nested hierarchies.
Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-15 21:08:53 +08:00
Balaram Buddharaju
461446045e
[TRTLLM-9493][feat] Add helixPostProcessNative kernel for cp_dim=2 ( #9924 )
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Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>
2025-12-12 16:49:25 -08:00
Yihan Wang
9df4dad3b6
[None][fix] Introduce inline namespace to avoid symbol collision ( #9541 )
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Signed-off-by: Yihan Wang <yihwang@nvidia.com>
2025-12-12 23:32:15 +08:00
Zongfei Jing
c76b428e2e
[TRTLLM-9685] [feat] Add gather fc1 kernel by cuteDSL ( #9618 )
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Signed-off-by: Zongfei Jing <20381269+zongfeijing@users.noreply.github.com>
2025-12-11 16:21:32 +08:00
Li Min
a422d70be6
[None][chore] Enable tvm_ffi for cute dsl nvfp4_gemm to reduce host overhead. ( #9690 )
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Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>
2025-12-08 13:28:11 +08:00
Yukun He
8b9ab9a701
[None][fix] Fix two tuning cache miss issues. ( #9743 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-08 10:47:21 +08:00
Jonas Li
2645a78f34
[TRTLLM-9660][feat] Convert cuteDSL GEMM to opt-in feature ( #9682 )
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Signed-off-by: Jonas Li <6110159+longlee0622@users.noreply.github.com>
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2025-12-06 02:24:51 -08:00
Enwei Zhu
7cd5a67e25
[TRTLLM-9372][feat] Enable CuteDSL MoE with Large EP ( #9592 )
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Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-12-05 22:08:52 -08:00
Anthony Chang
60cdca3740
[None][fix] Recover TRTLLM MoE Perf for DEP ( #9562 )
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Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>
2025-12-04 22:10:25 +08:00
Enwei Zhu
a3455f55c7
[None][chore] Fix trtllm-eval and move GroupedGemmInputsHelper ( #9612 )
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Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-12-03 07:55:03 +08:00
Shijie
dcf5c86720
[None][feat] Unify nvfp4 gemm backend ( #8963 )
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Signed-off-by: Shijie Wang <jaywan@nvidia.com>
Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
Signed-off-by: Shijie <jaywan@nvidia.com>
Co-authored-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-02 11:03:51 +08:00
Venky
639c939a4f
[TRTC-1943][feat] Env vars override support in LLM API ( #9104 )
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Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>
2025-12-01 10:04:49 -08:00
alel
4107254c82
[TRTLLM-6222][feat] Several perf opt for cuteDSL nvf4 gemm ( #9428 )
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Signed-off-by: Yuhan Li <51736452+liyuhannnnn@users.noreply.github.com>
2025-12-01 18:10:45 +08:00
Yukun He
730eb3d859
[None][fix] Replace hash method with unique_id for cutedsl MoE runners. ( #9569 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-12-01 17:02:33 +08:00
Li Min
1797e91dfd
[TRTLLM-6222][feat] Extend cute_dsl_nvfp4_gemm to sm103. ( #9543 )
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Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>
2025-12-01 10:19:36 +08:00
Yukun He
60c43a200a
[None][fix] Fix on-disk cache and revise logger/statistics for AutoTuner. ( #9211 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-11-28 13:32:21 +08:00
Yukun He
e580da4155
[TRTLLM-7963][feat] Cold L2 cache when doing autotune benchmarking. ( #8779 )
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The performance results of some kernels could be easily affected by the warm/cold L2 cache status. To achieve more precise profiling results, the L2 cache is cleared for every execution by the circular buffer method for better benchmarking during autotuning.
Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-11-25 15:06:22 +08:00
Yukun He
c3acf965a6
[TRTLLM-7963][fix] Several improvements of autotuning quality ( #9348 )
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* Skip the shape profile generating process if the profile has already been found in the cache under tuning mode. This is a prerequisite for nested autotuning because host overhead might be included during the profiling of the high-level op.
* Enable the profiling with CUDA graph as the default profiling method.
* Apply a heuristic method to cut off the number of repeat times of profiling according to a few-run time measurement.
2025-11-24 10:38:45 +08:00
Enwei Zhu
13fbd4366a
[TRTLLM-9370][feat] Integration of CuteDSL NVFP4 grouped GEMM (Part 2: SwiGLU Fusion and Finalize Fusion) ( #9288 )
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Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-11-21 14:03:38 -08:00
Yukun He
b6bced83c0
[TRTLLM-7963][feat] Use CUDAGraph to improve the tuning accuracy for AutoTuner. ( #9089 )
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Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
2025-11-20 08:54:29 +08:00
ChristinaZ
941a54c66a
[None][feat] Update the indexer topK ( #9255 )
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Signed-off-by: Christina Zhang <83400082+ChristinaZ@users.noreply.github.com>
2025-11-19 11:49:00 +08:00
Enwei Zhu
7c4777a571
[TRTLLM-9286][feat] Integration of CuteDSL NVFP4 grouped GEMM ( #8880 )
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Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
2025-11-18 17:40:12 -08:00
Kaiyu Xie
04be5a704e
[None] [fix] Fix missing ActivationType issue ( #9171 )
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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 )
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Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>
2025-11-17 10:04:29 +08:00
Neta Zmora
34dc6869f3
[ #8732 ][feat] Update TRTLLM Cutlass MoE kernels with ReLU2 ( #9011 )
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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 )
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Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com>
2025-11-14 08:37:20 +08:00
ChristinaZ
2e7769d1e8
[None][feat] Add customized topk and related unit tests for DSA ( #8882 )
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Signed-off-by: Christina Zhang <83400082+ChristinaZ@users.noreply.github.com>
2025-11-10 03:35:35 -08:00
yunruis
51545560da
[TRTLLM-8803][feat] Add rope and uk-bgemm overlap for mla generation ( #8495 )
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Signed-off-by: yunruis <205571022+yunruis@users.noreply.github.com>
2025-11-06 17:39:57 +08:00
Shiyu Li
eeb56c2848
[None][feat] MNNVLAllreduce Kernel Refactor ( #8018 )
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Signed-off-by: Shiyu Li <timlee0212@outlook.com>
Co-authored-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
2025-11-05 08:49:47 +08:00
Bo Li
e4bf29bc66
[None][feat] Integrate MnnvlThroughput into TRTLLM MoE. ( #8728 )
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Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
2025-11-04 21:36:29 +08:00
Matthias Jouanneaux
d0f107e4dd
[TRTLLM-5966][feat] Helix: add full MLA support for Helix ( #8104 )
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Signed-off-by: Matthias Jouanneaux <mjoux@nvidia.com>
2025-11-04 09:06:58 +08:00
Li Min
89336fbf07
[None][fix] Fix cute dsl nvfp4 gemm autotune issue ( #8761 )
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Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2025-11-03 22:55:45 +08:00
Bo Li
4c5a8f4ec6
[None][fix] Rename: slot_count -> invalid_expert_id ( #8783 )
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Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
2025-11-01 21:36:59 +08:00
Anthony Chang
f666ad2f6b
[None][feat] Autotuner can iterate through all tactics for test purposes ( #8663 )
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Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>
2025-10-30 13:11:25 +01:00
Chang Liu
5f737b8dbe
[None][perf] Use fp8 quant kernel in DS3.2 indexer module ( #8701 )
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Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
2025-10-29 12:45:09 +08:00
Cheng Hang
15c293a90b
[None][feat] Enable nvfp4 cuda core for sm120 ( #8620 )
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Signed-off-by: Cheng Hang <chang@nvidia.com>
2025-10-29 12:39:03 +08:00
Bo Li
9c4432f8a4
[TRTLLM-7318][feat] MnnvlThroughput AlltoAll implementation. ( #7499 )
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Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Co-authored-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
2025-10-27 13:23:06 -04:00