submission 555595
idanbeck · python · License unknown
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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-v2-555595?include=source"interfacepython
Compatibility
measured onNVIDIA A100
declared hardwareNVIDIA A100
architecturessm_80
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 digestsha256:7dd4d77d4b1144fb3c7c8b37e9bf0f034589f8769323b5721ca912c897a66f8e
license declaredunknown
license concludedunknown
authorsidanbeck
imported2026-08-15
Kernel source
submission.py18 lines
#!POPCORN leaderboard conv2d_v2
#!POPCORN gpu A100
from task import input_t, output_t
import torch
import torch.nn.functional as F
@torch.inference_mode()
def custom_kernel(data: input_t) -> output_t:
input_tensor, kernel, output = data
torch.use_deterministic_algorithms(True)
torch.set_float32_matmul_precision("highest")
torch.backends.cudnn.benchmark = True
torch.backends.cudnn.deterministic = True
torch.backends.cuda.matmul.allow_tf32 = False
torch.backends.cudnn.allow_tf32 = False
output[...] = F.conv2d(input_tensor, kernel, stride=1, padding=0)
return output
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 555535.
Best evidence level for this revision: reported
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