torch / matmulff95bc
torch_matmul_ff95bc · FlashInfer-Bench baselines · python · Apache-2.0
Kernel source · 6 lines ↓holds 43 records
Use it
Vendorable · source mirrored · Apache-2.0View source →
No package. Vendor the mirrored source: 6 lines, Apache-2.0, pinned at da91508.
main.py
curl "https://kernelindex.com/api/v1/implementations/flashinfer-torch-matmul-ff95bc?include=source"interfacepython
revisionda915083d4c7
symbolrun
pathmain.py
Compatibility
measured onNVIDIA B200
declared hardwareNVIDIA B200
architecturesunknown
dtypesfp16
Benchmark evidence
43 measurements across 1 GPU, fastest first.
Operation / workload
Hardware
Latency
Rank
Observed
Show all 43 measurements ›Showing all 43 measurements ⌄
Reported · How evidence levels are derived →
Source and license
sourcehttps://huggingface.co/datasets/flashinfer-ai/flashinfer-trace
commitda915083d4c7c5e61aa3005e3d17ae488e0fc71c
revision digestsha256:998384d633eaae861899f715f33187bca651506c1d4759c244d6ab04c6dc9850
license declaredApache-2.0
license concludedApache-2.0
authorsbaseline
imported2026-08-16
Kernel source
main.py6 lines
import torch
from torch.nn.functional import linear
def run(A: torch.Tensor, B: torch.Tensor):
return linear(A, B)
Source code from FlashInfer-Bench (flashinfer-ai/flashinfer-trace) · Apache-2.0
Best evidence level for this revision: reported
JSON