torch / matmul0d13df
torch_matmul_0d13df · FlashInfer-Bench baselines · python · Apache-2.0
Kernel source · 6 lines ↓holds 27 records
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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-0d13df?include=source"interfacepython
revisionda915083d4c7
symbolrun
pathmain.py
Compatibility
measured onNVIDIA B200
declared hardwareCPU, NVIDIA A100, NVIDIA H100
architecturessm_90, unknown
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 digestsha256:0c425ca0b03a64c147175e84075d3bdf26b50778cb62b0e8e0fe49296b8598bc
license declaredApache-2.0
license concludedApache-2.0
authorsbaseline
imported2026-08-16
Kernel source
main.py6 lines
import torch
import torch.nn.functional as F
def run(A: torch.Tensor, B: torch.Tensor):
return F.linear(A, B)
Source code from FlashInfer-Bench (flashinfer-ai/flashinfer-trace) · Apache-2.0
Best evidence level for this revision: reported
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