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flashinfer / wrapper57c111

flashinfer_wrapper_57c111 · FlashInfer-Bench baselines · python · Apache-2.0

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Vendorable · source mirrored · Apache-2.0View source →

No package. Vendor the mirrored source: 15 lines, Apache-2.0, pinned at da91508.

main.py
curl "https://kernelindex.com/api/v1/implementations/flashinfer-flashinfer-wrapper-57c111?include=source"
interfacepython
revisionda915083d4c7
symbolrun
pathmain.py
Compatibility
measured onNVIDIA B200
declared hardwareNVIDIA A100, NVIDIA B200, NVIDIA GeForce RTX 4090, NVIDIA H100, NVIDIA H20, NVIDIA H200
architecturesunknown
dtypesbf16

Benchmark evidence

14 measurements across 1 GPU, fastest first.

Operation / workload
Hardware
Latency
Rank
Observed
RMSNorm h128bf16 · [128] · batch_size=4
NVIDIA B200
6.28µs
#6 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=24
NVIDIA B200
6.44µs
#8 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=136
NVIDIA B200
6.45µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=32
NVIDIA B200
6.58µs
#8 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=316
NVIDIA B200
6.96µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=256
NVIDIA B200
7.00µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=192
NVIDIA B200
7.03µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=1088
NVIDIA B200
8.17µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=2048
NVIDIA B200
8.67µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=2528
NVIDIA B200
9.90µs
#9 of 9
2025-10-21
Show all 14 measurements ›
RMSNorm h128bf16 · [128] · batch_size=49532
NVIDIA B200
57.4µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=65016
NVIDIA B200
73.8µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=396256
NVIDIA B200
415.6µs
#9 of 9
2025-10-21
RMSNorm h128bf16 · [128] · batch_size=520128
NVIDIA B200
547.0µs
#9 of 9
2025-10-21

Reported · How evidence levels are derived →

Source and license

sourcehttps://huggingface.co/datasets/flashinfer-ai/flashinfer-trace
commitda915083d4c7c5e61aa3005e3d17ae488e0fc71c
revision digestsha256:fc232660f831290cde7cc14e6c788744300f16f38bf74bf92f022cd3b4160276
license declaredApache-2.0
license concludedApache-2.0
authorsbaseline
imported2026-08-16

Kernel source

main.py15 lines
import torch
import flashinfer


def run(hidden_states, weight):
    batch_size, hidden_size = hidden_states.shape
    
    assert hidden_size == 128
    
    EPS = 1e-6
    
    output = flashinfer.norm.rmsnorm(hidden_states, weight, eps=EPS)
    
    return output

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

Best evidence level for this revision: reported

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