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Bump torch from 2.7 to 2.7.1 in /.ci/docker #3475
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3475
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 1 New FailureAs of commit 0616d7e with merge base 120068e ( NEW FAILURE - The following job has failed:
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Bumps [torch](https://github.com/pytorch/pytorch) from 2.7 to 2.7.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.7.0...v2.7.1) --- updated-dependencies: - dependency-name: torch dependency-version: 2.7.1 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
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Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as |
Bumps torch from 2.7 to 2.7.1.
Release notes
Sourced from torch's releases.
Commits
e2d141dset thread_work_size to 4 for unrolled kernel (#154541)1214198[c10d] Fix extra CUDA context created by barrier (#152834)790cc2f[c10d] Add more tests to prevent extra context (#154179)62ea99a[CI] Remove the xpu env source for linux binary validate (#154409)941732c[ROCm] Added unit test to test the cuda_pluggable allocator (#154135)769d5da[binary builds] Linux aarch64 CUDA builds. Make sure tag is set correctly (#1...306ba12Fix uint view copy (#151598) (#154121)1ae9953[ROCm] Update CUDAPluggableAllocator.h (#1984) (#153974)4a815edci: Set minimum cmake version for halide build (#154122)4c7314e[Dynamo] Fix einops regression (#154053)You can trigger a rebase of this PR by commenting
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