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flashinfer / wrapper7f6051

flashinfer_wrapper_7f6051 · FlashInfer-Bench baselines · python · Apache-2.0

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Vendorable · source mirrored · Apache-2.0View source →

No package. Vendor the mirrored source: 17 lines, Apache-2.0, pinned at da91508.

main.py
curl "https://kernelindex.com/api/v1/implementations/flashinfer-flashinfer-wrapper-7f6051?include=source"
interfacepython
revisionda915083d4c7
symbolrun
pathmain.py
Compatibility
measured onNVIDIA B200
declared hardwareNVIDIA A100, NVIDIA B200, NVIDIA H100, NVIDIA H20, NVIDIA H200
architecturesunknown
dtypesbf16

Benchmark evidence

10 measurements across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
Fused add RMSNorm h5120bf16 · [5120] · batch_size=32
NVIDIA B200
3.30µs
#1 of 2
2026-03-26
Fused add RMSNorm h5120bf16 · [5120] · batch_size=6
NVIDIA B200
3.33µs
#1 of 2
2026-03-26
Fused add RMSNorm h5120bf16 · [5120] · batch_size=6
NVIDIA B200
3.39µs
#2 of 2
2026-03-24
Fused add RMSNorm h5120bf16 · [5120] · batch_size=32
NVIDIA B200
3.42µs
#2 of 2
2026-03-24
Fused add RMSNorm h5120bf16 · [5120] · batch_size=37
NVIDIA B200
3.42µs
#1 of 2
2026-03-26
Fused add RMSNorm h5120bf16 · [5120] · batch_size=37
NVIDIA B200
3.55µs
#2 of 2
2026-03-24
Fused add RMSNorm h5120bf16 · [5120] · batch_size=1
NVIDIA B200
3.58µs
#1 of 2
2026-03-24
Fused add RMSNorm h5120bf16 · [5120] · batch_size=1
NVIDIA B200
3.78µs
#2 of 2
2026-03-26
Fused add RMSNorm h5120bf16 · [5120] · batch_size=1174
NVIDIA B200
12.7µs
#1 of 2
2026-03-24
Fused add RMSNorm h5120bf16 · [5120] · batch_size=1174
NVIDIA B200
12.7µs
#2 of 2
2026-03-26

Reported · How evidence levels are derived →

Source and license

sourcehttps://huggingface.co/datasets/flashinfer-ai/flashinfer-trace
commitda915083d4c7c5e61aa3005e3d17ae488e0fc71c
revision digestsha256:d3fa5fac7faa15594fb8db18208ea246bead347196f12e5001731a34ed3e0fa4
license declaredApache-2.0
license concludedApache-2.0
authorsbaseline
imported2026-08-16

Kernel source

main.py17 lines
import torch
import flashinfer


def run(hidden_states, residual, weight):
    batch_size, hidden_size = hidden_states.shape

    assert hidden_size == 5120

    EPS = 1e-6

    # FlashInfer's fused_add_rmsnorm modifies hidden_states in-place
    flashinfer.norm.fused_add_rmsnorm(hidden_states, residual, weight, EPS)

    # Return the modified hidden_states as output
    return hidden_states

Source code from FlashInfer-Bench (flashinfer-ai/flashinfer-trace) · Apache-2.0

Best evidence level for this revision: reported

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