submission 852323
Sanjeev Kumar · python · License unknown
Use it
Vendorable · source mirrored · license unknownView source →
No package. Vendor the mirrored source: 9 lines, June 9 Researcher Reciprocity License v1.0.
baseline_submission.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-eigh-852323?include=source"interfacepython
Compatibility
measured onNVIDIA B200
declared hardwareNVIDIA B200
architecturessm_100
dtypesfp32
Benchmark evidence
1 measurement across 1 GPU, fastest first.
Operation / workload
Hardware
Latency
Rank
Observed
Reported · How evidence levels are derived →
Source and license
sourceavailable
revision digestsha256:d813f98ea76b813dde885d58ef99ee876c514fc0ff850b45beb8759e39e8aa22
license declaredunknown
license concludedunknown
authorsSanjeev Kumar
imported2026-08-26
Kernel source
baseline_submission.py9 lines
import torch
from task import input_t, output_t
def custom_kernel(data: input_t) -> output_t:
values, vectors = torch.linalg.eigh(data)
return vectors, values
Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0
Best evidence level for this revision: reported
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