torch / matmul67278e
torch_matmul_67278e · FlashInfer-Bench baselines · python · Apache-2.0
Kernel source · 7 lines ↓holds 17 records
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No package. Vendor the mirrored source: 7 lines, Apache-2.0, pinned at da91508.
main.py
curl "https://kernelindex.com/api/v1/implementations/flashinfer-torch-matmul-67278e?include=source"interfacepython
revisionda915083d4c7
symbolrun
pathmain.py
Compatibility
measured onNVIDIA B200
declared hardwareCPU, NVIDIA A100, NVIDIA B200, NVIDIA H100
architecturessm_100, sm_90, unknown
dtypesfp16
Benchmark evidence
17 measurements across 1 GPU, fastest first.
Operation / workload
Hardware
Latency
Rank
Observed
Show all 17 measurements ›Showing all 17 measurements ⌄
Reported · How evidence levels are derived →
Source and license
sourcehttps://huggingface.co/datasets/flashinfer-ai/flashinfer-trace
commitda915083d4c7c5e61aa3005e3d17ae488e0fc71c
revision digestsha256:d7e2359135dd88d96fd7425d96e9f12d6ba8727a7aebc0d71b3d6c1b16deeafc
license declaredApache-2.0
license concludedApache-2.0
authorsbaseline
imported2026-08-16
Kernel source
main.py7 lines
import torch
import torch.nn.functional as F
def run(A: torch.Tensor, B: torch.Tensor):
C = F.linear(A, B)
return C
Source code from FlashInfer-Bench (flashinfer-ai/flashinfer-trace) · Apache-2.0
Best evidence level for this revision: reported
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