build(deps): bump torch from 2.1.0 to 2.1.1 #58
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Bumps [torch](https://github.com/pytorch/pytorch) from 2.1.0 to 2.1.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.1.0...v2.1.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
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Bumps torch from 2.1.0 to 2.1.1.
Release notes
Sourced from torch's releases.
Commits
4c55dc5remove _shard_tensor() call (#111687)f58669bc10::DriverAPITry opening libcuda.so.1 (#113096)33106b7[DCP] Add test for planner option for load_sharded_optimizer_state_dict (#11...4b4c012Enable planner to be used for loading sharded optimizer state dict (#112520)47ac502[DCP][test] Make dim_0 size of params scale with world_size in torch/distribu...dc96ecbFix mem eff bias bug (#112673) (#112796)18a2ed1Mirror of Xformers Fix (#112267) (#112795)b2e1277Fix the meta func for mem_eff_backward (#110893) (#112792)b249946[Release-only] Pin Docker images to 2.1 for release (#112665)ee79fc8Revert "Fix bug: not creating empty tensor with correct sizes and device. (#1...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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