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torch.compile (inductor)

conv transposed 2D asymmetric input square kernel · width_in = 1024 · height_in = 512 · batch_size = 8 · in_channels = 32 · fp32 · run 01a03f0e-f6e2…
●passedReported evidence

Not re-observed recently.

Primary measurement
1.60ms±0.00 · mean of 100

Rank 2 in its comparison group · source-native comparison · observed 2026-03-05

Compare with #1 →

max ms 1.64 · min ms 1.58 · std ms 0.0117 · mean ms 1.6

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth_in = 1024 · height_in = 512 · batch_size = 8 · in_channels = 32 · fp32
comparison keysha256:ca147c6c7756130f…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/71_conv_transposed_2D__asymmetric_input__square_kernel.py
sha256:ea0e4ecf9fb54a2fc5c9dec…

Correctness

Marked passed by the source; the correctness policy was not published.

Workload

width_in1024
height_in512
batch_size8
in_channels32
xfp32 [8, 32, 512, 1024]
definition comparatornot_asserted

Measurements

latency · max1.64 ms · n=100
latency · mean1.60 ms · n=100
latency · min1.58 ms · n=100
latency · std11.7 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

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Canonical manifest

Show manifest
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      "observedAt": "2026-03-05T08:38:15.000Z",
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