benchmark

ee9bc598 - Skip modded_nanogpt model in TorchInductor benchmark (#172125)

Skip modded_nanogpt model in TorchInductor benchmark (#172125) Summary: This has never been working correctly https://github.com/pytorch/pytorch/issues/172015#issuecomment-3730509098, so let's skip it completely. For more context, this model switches from [eager_fail_to_run to fail_accuracy](https://hud.pytorch.org/benchmark/v3/dashboard/compiler_inductor?renderGroupId=main&time.start=2026-01-02T00%3A00%3A00.000Z&time.end=2026-01-09T23%3A59%3A59.999Z&filters.repo=pytorch%2Fpytorch&filters.benchmarkName=compiler&filters.backend=&filters.mode=training&filters.dtype=amp&filters.deviceName=cuda+%28h100%29&filters.device=cuda&filters.arch=h100&filters.model=modded_nanogpt&lbranch=prepare-perf-number-2.9.1&rbranch=prepare-perf-number-2.10-v2&rcommit.commit=48ac90a47e9eb80c30282ae991f2bb3399427919&rcommit.workflow_id=20837908962&rcommit.date=2026-01-09T04%3A00%3A00Z&rcommit.branch=prepare-perf-number-2.10-v2&lcommit.commit=be32f077fb50b49ad856e957a6860d37565583db&lcommit.workflow_id=20799100249&lcommit.date=2026-01-08T02%3A00%3A00Z&lcommit.branch=prepare-perf-number-2.9.1&maxSampling=110) status recently, root cause is not clear, but it's not related to 2.10 RC X-link: https://github.com/pytorch/pytorch/pull/172125 Approved by: https://github.com/zou3519, https://github.com/atalman Reviewed By: atalman, jeanschmidt Differential Revision: D90421963 fbshipit-source-id: 8ae5e397546afd05da131770095f600cb2bea57a