Skip to content

Conversation

@dependabot
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Oct 27, 2025

Bumps timm from 1.0.17 to 1.0.21.

Release notes

Sourced from timm's releases.

Release v1.0.21

Oct 16-20, 2025

  • Add an impl of the Muon optimizer (based on https://github.com/KellerJordan/Muon) with customizations
    • extra flexibility and improved handling for conv weights and fallbacks for weight shapes not suited for orthogonalization
    • small speedup for NS iterations by reducing allocs and using fused (b)add(b)mm ops
    • by default uses AdamW (or NAdamW if nesterov=True) updates if muon not suitable for parameter shape (or excluded via param group flag)
    • like torch impl, select from several LR scale adjustment fns via adjust_lr_fn
    • select from several NS coefficient presets or specify your own via ns_coefficients
  • First 2 steps of 'meta' device model initialization supported
    • Fix several ops that were breaking creation under 'meta' device context
    • Add device & dtype factory kwarg support to all models and modules (anything inherting from nn.Module) in timm
  • License fields added to pretrained cfgs in code
  • Release 1.0.21

What's Changed

New Contributors

Full Changelog: huggingface/pytorch-image-models@v1.0.20...v1.0.21

Release v1.0.20

Sept 21, 2025

  • Remap DINOv3 ViT weight tags from lvd_1689m -> lvd1689m to match (same for sat_493m -> sat493m)
  • Release 1.0.20

Sept 17, 2025

What's Changed

... (truncated)

Commits
  • 625386b Release 1.0.21
  • cebc007 Rename 'simple' flag for Muon to 'fallback', add support for inverted 'use_mu...
  • d8b4c34 Update README.md
  • a501499 Remove nesterov=True default for Muon, make a 'nmuon' name that maps to Muon ...
  • e32ba5d Add more advanced heuristics for determining muon optimization suitability fo...
  • 0001522 Re-order decay/no-decay groups to match old order and pass existing test. Cha...
  • bfd490e Fixed type in param group helpers
  • 94bdadb Add impl of Muon optimizer. Fix #2580
  • f9dadde Split TypeVar/TypeAlias imports so fallback works more reliabily in old Python
  • a162e8a Fix type anno for Python 3.9
  • Additional commits viewable in compare view

Dependabot compatibility score

You can trigger a rebase of this PR 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 <dependency name> 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)

Note
Automatic rebases have been disabled on this pull request as it has been open for over 30 days.

@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Oct 27, 2025
@dependabot dependabot bot force-pushed the dependabot/pip/timm-1.0.21 branch from 19c22ed to bd77316 Compare November 23, 2025 01:06
Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 1.0.17 to 1.0.21.
- [Release notes](https://github.com/huggingface/pytorch-image-models/releases)
- [Commits](huggingface/pytorch-image-models@v1.0.17...v1.0.21)

---
updated-dependencies:
- dependency-name: timm
  dependency-version: 1.0.21
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/timm-1.0.21 branch from bd77316 to 7021f2e Compare November 23, 2025 01:31
@codecov
Copy link

codecov bot commented Nov 23, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 88.23%. Comparing base (b7284cf) to head (150485a).

Additional details and impacted files
@@           Coverage Diff           @@
##             main     #108   +/-   ##
=======================================
  Coverage   88.23%   88.23%           
=======================================
  Files          10       10           
  Lines         272      272           
  Branches       18       18           
=======================================
  Hits          240      240           
  Misses         21       21           
  Partials       11       11           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@dependabot @github
Copy link
Contributor Author

dependabot bot commented on behalf of github Nov 24, 2025

A newer version of timm exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

dependencies Pull requests that update a dependency file python Pull requests that update python code

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants