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Update open-clip-torch requirement from <2.26.1,>=2.23.0 to >=2.23.0,<2.28.1 #2388

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@dependabot dependabot bot commented on behalf of github Oct 22, 2024

Updates the requirements on open-clip-torch to permit the latest version.

Changelog

Sourced from open-clip-torch's changelog.

2.24.0

  • Fix missing space in error message
  • use model flag for normalizing embeddings
  • init logit_bias for non siglip pretrained models
  • Fix logit_bias load_checkpoint addition
  • Make CoCa model match CLIP models for logit scale/bias init
  • Fix missing return of "logit_bias" in CoCa.forward
  • Add NLLB-CLIP with SigLIP models
  • Add get_logits method and NLLB tokenizer
  • Remove the empty file src/open_clip/generation_utils.py
  • Update params.py: "BatchNorm" -> "LayerNorm" in the description string for "--lock-text-freeze-layer-norm"

2.23.0

  • Add CLIPA-v2 models
  • Add SigLIP models
  • Add MetaCLIP models
  • Add NLLB-CLIP models
  • CLIPA train code
  • Minor changes/fixes
    • Remove protobuf version limit
    • Stop checking model name when loading CoCa models
    • Log native wandb step
    • Use bool instead of long masks

2.21.0

  • Add SigLIP loss + training support
  • Add more DataComp models (B/16, B/32 and B/32@256)
  • Update default num workers
  • Update CoCa generation for transformers>=4.31
  • PyTorch 2.0 state_dict() compatibility fix for compiled models
  • Fix padding in ResizeMaxSize
  • Convert JIT model on state dict load for pretrained='filename…'
  • Other minor changes and fixes (typos, README, dependencies, CI)

2.20.0

  • Add EVA models
  • Support serial worker training
  • Fix Python 3.7 compatibility

2.19.0

  • Add DataComp models

2.18.0

  • Enable int8 inference without .weight attribute

... (truncated)

Commits
  • 427c434 Release 2.28.0
  • 13ee1d7 Tweak comments
  • cd15a7b Add safeglobals to allow metaclip models to load with weights_only=True, add ...
  • c82349a Move device check ahead of dist check
  • a49469a A few more distributed devicec handling tweaks
  • a83924f Pass device through get_autocast, make updated device behaviour backwards com...
  • 15f46a4 Improving device handling code to be more device type agnostic
  • b32de64 update scaler
  • b56b9f7 fix device check
  • 049368d add npu support
  • Additional commits viewable in compare view

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Updates the requirements on [open-clip-torch](https://github.com/mlfoundations/open_clip) to permit the latest version.
- [Release notes](https://github.com/mlfoundations/open_clip/releases)
- [Changelog](https://github.com/mlfoundations/open_clip/blob/main/HISTORY.md)
- [Commits](mlfoundations/open_clip@v2.23.0...v2.28.0)

---
updated-dependencies:
- dependency-name: open-clip-torch
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added Dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Oct 22, 2024
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dependabot bot commented on behalf of github Oct 23, 2024

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@samet-akcay samet-akcay deleted the dependabot/pip/open-clip-torch-gte-2.23.0-and-lt-2.28.1 branch October 23, 2024 04:57
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