[benchmark] Skip pytorch_CycleGAN_and_pix2pix from inductor benchmarks#175299
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atalman merged 1 commit intorelease/2.11from Feb 19, 2026
Merged
[benchmark] Skip pytorch_CycleGAN_and_pix2pix from inductor benchmarks#175299atalman merged 1 commit intorelease/2.11from
atalman merged 1 commit intorelease/2.11from
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#175066) ## Summary Skip the `pytorch_CycleGAN_and_pix2pix` benchmark model from the inductor benchmark suite. This legacy 2017 model has been failing with `eager_fail_to_run` on 100% of commits since mid-2025, providing zero CI signal while consuming ~5.3M GPU-seconds/week across 7+ benchmark jobs on CUDA, CPU, and ROCm. **Estimated savings: ~310 GPU-hours/week (~1,240 GPU-hours/month)** Skip it in `torchbench.yaml` and remove its entries from all 31 expected accuracy CSV files. Also remove it from the `higher_fp16` tolerance list. See P2188981399 for the full CI workflow analysis. ## Test Plan - CI should pass with CycleGAN skipped (it was already failing 100% of the time) - No other benchmark models affected Pull Request resolved: #175066 Approved by: https://github.com/huydhn, https://github.com/malfet (cherry picked from commit 688c943)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/175299
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit db8085d with merge base 0fd766e ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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atalman
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Feb 19, 2026
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Stack from ghstack (oldest at bottom):
Summary
Skip the
pytorch_CycleGAN_and_pix2pixbenchmark model from the inductor benchmark suite.This legacy 2017 model has been failing with
eager_fail_to_runon 100%of commits since mid-2025, providing zero CI signal while consuming
~5.3M GPU-seconds/week across 7+ benchmark jobs on CUDA, CPU, and ROCm.
Estimated savings: ~310 GPU-hours/week (~1,240 GPU-hours/month)
Skip it in
torchbench.yamland remove its entries from all 31 expectedaccuracy CSV files. Also remove it from the
higher_fp16tolerance list.See P2188981399 for the full CI workflow analysis.
Test Plan
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @kadeng @chauhang @amjames @Lucaskabela @jataylo