🔒(deps): Bump torch from 2.0.0 to 2.7.0 #57
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Bumps [torch](https://github.com/pytorch/pytorch) from 2.0.0 to 2.7.0. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.0.0...v2.7.0) --- updated-dependencies: - dependency-name: torch dependency-version: 2.7.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
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Bumps torch from 2.0.0 to 2.7.0.
Release notes
Sourced from torch's releases.
... (truncated)
Commits
1341794Gracefully handle optree less than minimum version, part 2 (#151323)0739127Gracefully handle optree less than minimum version (#150977)0c236f3Update triton wheel build, setuptools pin (#150953)c7ff78dFix inplacing with multiple, fused uses (#150892)894909aRevert "[CUDA] Only use vec128 if CUDA version is newer than 12.8" (#150855)ef2b139[Manylinux 2.28] Correct Linux aarch64 cuda binaries wheel name (#150820)3f236f1[CUDA] Only use vec128 if CUDA version is newer than 12.8 (#150818)35f1e76Reland of "[ROCm] change preferred blas lib defaults (#150249)"" (#150707)a6321d6Revert "Dont exclude constant_pad_nd in prologue fusion" (#150699)1cc51c6[CUDA][avgpool2d] Fix backward launch bounds again forsm100,sm120(#150...Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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