torch.compile (inductor)
Min reduction over a dimension · dim1 = 4096 · dim2 = 4095 · batch_size = 128 · fp32 · run 01a03f0e-f847…
●passedReported evidence
Not re-observed recently.
Primary measurement
5.51ms±0.01 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 5.65 · min ms 5.33 · std ms 0.0556 · mean ms 5.51
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddim1 = 4096 · dim2 = 4095 · batch_size = 128 · fp32
comparison keysha256:8823493ce50737f1…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/53_Min_reduction_over_a_dimension.py
sha256:30d17714b933acf19f43b35…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
dim14096
dim24095
batch_size128
xfp32 [128, 4096, 4095]
definition comparatornot_asserted
Measurements
latency · max5.65 ms · n=100
latency · mean5.51 ms · n=100
latency · min5.33 ms · n=100
latency · std55.6 µs
Protocol
harnessKernelBench timing scripts
timercuda_events
primaryStatisticmean
comparabilityFamilykernelbench_baseline_timing
Environment
gpuNVIDIA H100 (sm_90)
Artifacts
No artifacts published with this run.
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Min reduction over a dimension →JSON