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Bump timm from 1.0.7 to 1.0.12 in /tests #245

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@dependabot dependabot bot commented on behalf of github Dec 4, 2024

Bumps timm from 1.0.7 to 1.0.12.

Release notes

Sourced from timm's releases.

Release v1.0.12

Nov 28, 2024

Nov 12, 2024

  • Optimizer factory refactor
    • New factory works by registering optimizers using an OptimInfo dataclass w/ some key traits
    • Add list_optimizers, get_optimizer_class, get_optimizer_info to reworked create_optimizer_v2 fn to explore optimizers, get info or class
    • deprecate optim.optim_factory, move fns to optim/_optim_factory.py and optim/_param_groups.py and encourage import via timm.optim
  • Add Adopt (https://github.com/iShohei220/adopt) optimizer
  • Add 'Big Vision' variant of Adafactor (https://github.com/google-research/big_vision/blob/main/big_vision/optax.py) optimizer
  • Fix original Adafactor to pick better factorization dims for convolutions
  • Tweak LAMB optimizer with some improvements in torch.where functionality since original, refactor clipping a bit
  • dynamic img size support in vit, deit, eva improved to support resize from non-square patch grids, thanks https://github.com/wojtke

Oct 31, 2024

Add a set of new very well trained ResNet & ResNet-V2 18/34 (basic block) weights. See https://huggingface.co/blog/rwightman/resnet-trick-or-treat

Oct 19, 2024

  • Cleanup torch amp usage to avoid cuda specific calls, merge support for Ascend (NPU) devices from MengqingCao that should work now in PyTorch 2.5 w/ new device extension autoloading feature. Tested Intel Arc (XPU) in Pytorch 2.5 too and it (mostly) worked.

What's Changed

... (truncated)

Commits
  • 553ded5 Version 1.0.12
  • 464885e See if we can avoid some model / layer pickle issues with the aa attr in Conv...
  • 5fe5f9d Add a different mnv4 conv-small weight
  • 303f769 Add cautious mars, improve test reliability by skipping grad diff for first step
  • 82e8677 Make LaProp weight decay match typical PyTorch 'decoupled' behaviour where it...
  • 886eb77 Update README, missed small discrep in adafactor min dim update
  • e3e434b To be technically correct, need to check the in-place _ ver of op
  • 7c32d3b Work around _foreach_maximum issue, need scalar other support
  • 7cf6836 Cautious optimizer impl plus some typing cleanup.
  • aeb1ed7 Keep basic optim test LR range closer to before w/ updated code
  • Additional commits viewable in compare view

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Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 1.0.7 to 1.0.12.
- [Release notes](https://github.com/huggingface/pytorch-image-models/releases)
- [Commits](huggingface/pytorch-image-models@v1.0.7...v1.0.12)

---
updated-dependencies:
- dependency-name: timm
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Dec 4, 2024
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This PR will be closed in a week because of 2 weeks of no activity.

@github-actions github-actions bot added the Stale label Dec 19, 2024
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