8000 CUDA 12.6 Inductor accuracy test failures · Issue #148699 · pytorch/pytorch · GitHub
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CUDA 12.6 Inductor accuracy test failures #148699
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CUDA 12.6 Inductor accuracy test failures#148699
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atalman
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high prioritymodule: ciRelated to continuous integrationmodule: cudaRelated to torch.cuda, and CUDA support in generaltriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
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@atalman
atalman
opened on Mar 6, 2025

We are working on PR to move our Inductor CUDA 12.4 -> 12.6

This is pull request:
#148612

We do see 2 test failures and 1 pass

fail_accuracy:
timm_efficientnet,fail_accuracy,7
crossvit_9_240,fail_accuracy,7

pass:
tinynet_a,pass,6
Please note: this looks like an improvement, it was turned off with this PR: #123475

Workflows:
29ec07b#diff-edec9c9b528f9ee5f7113d88ce1e776897a63c5ac0260c55926a570a62a0a36b
and
https://github.com/pytorch/pytorch/actions/runs/13693492178/job/38295168222

Versions

2.7.0 nightly

cc @ptrblck @msaroufim @eqy @seemethere @malfet @pytorch/pytorch-dev-infra @ezyang @gchanan @zou3519 @kadeng @chauhang @penguinwu

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high prioritymodule: ciRelated to continuous integrationmodule: cudaRelated to torch.cuda, and CUDA support in generaltriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate module

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