Bump torch from 2.0.0 to 2.1.0

[dependabot[bot]]

Bumps torch from 2.0.0 to 2.1.0.

Release notes

Sourced from torch's releases.

PyTorch 2.1: automatic dynamic shape compilation, distributed checkpointing

PyTorch 2.1 Release Notes

• Highlights
• Backwards Incompatible Change
• Deprecations
• New Features
• Improvements
• Bug fixes
• Performance
• Documentation
• Developers
• Security

Highlights

We are excited to announce the release of PyTorch® 2.1! PyTorch 2.1 offers automatic dynamic shape support in torch.compile, torch.distributed.checkpoint for saving/loading distributed training jobs on multiple ranks in parallel, and torch.compile support for the NumPy API.

In addition, this release offers numerous performance improvements (e.g. CPU inductor improvements, AVX512 support, scaled-dot-product-attention support) as well as a prototype release of torch.export, a sound full-graph capture mechanism, and torch.export-based quantization.

Along with 2.1, we are also releasing a series of updates to the PyTorch domain libraries. More details can be found in the library updates blog.

This release is composed of 6,682 commits and 784 contributors since 2.0. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.1. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

Summary:

• torch.compile now includes automatic support for detecting and minimizing recompilations due to tensor shape changes using automatic dynamic shapes.
• torch.distributed.checkpoint enables saving and loading models from multiple ranks in parallel, as well as resharding due to changes in cluster topology.
• torch.compile can now compile NumPy operations via translating them into PyTorch-equivalent operations.
• torch.compile now includes improved support for Python 3.11.
• New CPU performance features include inductor improvements (e.g. bfloat16 support and dynamic shapes), AVX512 kernel support, and scaled-dot-product-attention kernels.
• torch.export, a sound full-graph capture mechanism is introduced as a prototype feature, as well as torch.export-based quantization.
• torch.sparse now includes prototype support for semi-structured (2:4) sparsity on NVIDIA® GPUs.

... (truncated)

Commits

• 7bcf7da Add tensorboard to pip requirements (#109349) (#109823)
• 1841d54 [CI] Add torch.compile works without numpy test (#109624) (#109818)
• fca4233 Fix the parameter error in test_device_mesh.py (#108758) (#109826)
• 539a971 [Release-2.1]Add finfo properties for float8 dtypes (#109808)
• 9287a0c [Release/2.1][JIT] Fix typed enum handling in 3.11 (#109807)
• c464075 [release only] Docker build - Setup release specific variables (#109809)
• 1b4161c [Release/2.1] [Docs] Fix compiler.list_backends invocation (#109800)
• 2822053 [Release/2.1] [Docs] Fix typo in torch.unflatten (#109801)
• da9639c Remove torchtext from Build Official Docker images (#109799) (#109803)
• e534243 Add docs for torch.compile(numpy) (#109789)
• Additional commits viewable in compare view

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 @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[dependabot[bot]]

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 @dependabot rebase.

[dependabot[bot]]

Superseded by #183.