submission 614133
dannywillowliu-uchi · python · License unknown
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Vendorable · source mirrored · license unknownView source →
No package. Vendor the mirrored source: 18 lines, June 9 Researcher Reciprocity License v1.0.
submission.py
curl "https://kernelindex.com/api/v1/implementations/kernelbot-conv2d-v2-614133?include=source"interfacepython
Compatibility
measured onNVIDIA H100
declared hardwareNVIDIA H100
architecturessm_90
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:b028b9be6da94de892056cfb90da4552aeea3ab009aead13cb434d6b90252a27
license declaredunknown
license concludedunknown
authorsdannywillowliu-uchi
imported2026-08-15
Kernel source
submission.py18 lines
import os
os.environ['CUBLAS_WORKSPACE_CONFIG'] = ':4096:8'
from task import input_t, output_t
import torch
import torch.nn.functional as F
torch.backends.cudnn.allow_tf32 = False
torch.backends.cuda.matmul.allow_tf32 = False
torch.backends.cudnn.benchmark = True
try:
torch.backends.cudnn.benchmark_limit = 0 # No limit on algorithm search
except:
pass
def custom_kernel(data: input_t) -> output_t:
input_tensor, kernel, output = data
return F.conv2d(input_tensor, kernel, stride=1, padding=0)
Source code from GPU Mode and the KernelBot dataset · June 9 Researcher Reciprocity License v1.0
Changes from previous submission
Against this author's previous submission submission 614130.
Best evidence level for this revision: reported
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