Update dependency einops to v0.8.2

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
einops	==0.8.1 → ==0.8.2

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Release Notes

arogozhnikov/einops (einops)

v0.8.2: : full MLX backend, rely on torch.compile, set python 3.9 as minimum

Compare Source

• torch.compile: previously we relied on registration of einops in torch.compile. This registration was called by torch. Now with torch >= 2.8 torch.compile engine can compile einops operations without additional hints/registrations.
• recommended backend for MLX is still einops.array_api.<operation>, but since community asked multiple times for support of einops.einsum, there is now MLX backend in einops, so einops.<operation> would also work with MLX.
• minor improvements to docs, and mention of several related projects.

What's Changed

• Update README.md by @​arogozhnikov in #​366
• Update codebase, introduce consistency checks, update EinMix tutorial by @​arogozhnikov in #​374
• Update python versions in tests, change min supported version to 3.9 by @​arogozhnikov in #​364
• mention cubed as one more backend via array api by @​arogozhnikov in #​375
• Extend tests for torch.compile by @​arogozhnikov in #​382
• add einops.jl and einops for R in docs_src/pages/projects.md by @​Qile0317 in #​383
• mention ein color and AlphaFold3 by @​arogozhnikov in #​389
• A bit more of compile tests by @​arogozhnikov in #​390
• Patch #​391 (conflicts in multithreading initialization) by @​arogozhnikov in #​392
• switch off debug importing by @​arogozhnikov in #​393
• Skip allow_in_graph if torch >= 2.8 by @​guilhermeleobas in #​394
• Add mlx backend by @​ifsheldon in #​376
• update testing by @​arogozhnikov in #​395

New Contributors

• @​Qile0317 made their first contribution in #​383
• @​guilhermeleobas made their first contribution in #​394
• @​ifsheldon made their first contribution in #​376

Full Changelog: arogozhnikov/einops@v0.8.1...v0.8.2

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