Update torch requirement from <=2.3.1,>=2.0.1 to >=2.0.1,<=2.4.0 #169
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Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.0.1...v2.4.0) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
... (truncated)
Changelog
Sourced from torch's changelog.
... (truncated)
Commits
d990dad[CMAKE] Look forDevelopment.Moduleinstead ofDevelopment(#129729)e4ee3be[Release only] use triton 3.0.x from pypi (#130336)9afe4ecUpdate torchbench model expected accuracy values after pinning numpy (#129986)499621e[CherryPick][FSDP2+TP] Disable 2D state_dict (#129519) (#129923)e5bda62[CherryPick][DCP] Fix Optimizer Learning Rate not being loaded correctly (#12...705e3aeImprove error message for weights_only load (#129783)b26cde4[Windows] remove mkl shared library dependency. (#129740)12ad767[distributed] NCCL result code update (#129704)1164d3cAdd threadfence to 2-stage reduction for correct writes visibility (#129701)9533637Inductor to fail gracefully on Voltas for bf16 tensors (#129699)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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