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NVIDIA / TensorRT-LLM Public

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[None][feat] Minimax RMS norm optimization#12163

Merged

syuoni merged 20 commits into

NVIDIA:mainNVIDIA/TensorRT-LLM:mainfrom

jmydurant:user/mingyangj/minimax_opt_rebasejmydurant/TensorRT-LLM:user/mingyangj/minimax_opt_rebaseCopy head branch name to clipboard

Apr 20, 2026

Conversation Commits20 (20)Checks Files changed

Merged

[None][feat] Minimax RMS norm optimization#12163
syuoni merged 20 commits into
NVIDIA:mainfrom
jmydurant:user/mingyangj/minimax_opt_rebase

Commits

Commits on Apr 16, 2026

draft: use all reduce for rms norm in attention module
jmydurant
committed
chore: use nccl as all reduce backend
jmydurant
committed
draft: add new reduce kernel file
jmydurant
committed
chore: add pytorch wrapper
jmydurant
committed
test: add unit test case
jmydurant
committed
fix: bug fix for unit test
jmydurant
committed
chore: support bf16 or fp16 as input tensor
jmydurant
committed
chore: use origin dtype for input, just use fp32 acc in kernel
jmydurant
committed
draft: add float4 kernel, add benchmark script
jmydurant
committed
test: add benchmark code, fix clean lamport buffer bug
jmydurant
committed
feature: fuse q and k rms norm kernel
jmydurant
committed
feature: q and k use different thread idx
jmydurant
committed
test: add test case for qk norm, add range reduce func
jmydurant
committed
feature: modify float4 kernel, split q, k to different warp, enable pdl
jmydurant
committed
chore: modify rms norm weight loading method
jmydurant
committed
fix: fix split tensor contiguous bug
jmydurant
committed
chore: add more torch check for input shape
jmydurant
committed
fix: fix for code rabbit review comments
jmydurant
committed
fix: add fake op impl
jmydurant
committed
fix: clean code by hyukn comments
jmydurant
committed

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