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build(deps): update open-clip-torch requirement from >=2.24 to >=3.3.0 in /apps/ai - #228

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build(deps): update open-clip-torch requirement from >=2.24 to >=3.3.0 in /apps/ai#228
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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
  • 3057361 Release 3.3.0
  • 37c7c8f Remove excessive logging when using --torchcompile
  • e586040 Typo
  • bfd2f34 Fix a few DDP issues, reduce chances of timeouts during checkpoint, early exi...
  • a9ad60c Fix BeamSearchScorer import for transformers >= 4.56
  • 31dd6c9 Add requests to test dependencies
  • 590e23e Replace batch_encode_plus() with call()
  • d3cdb73 Allow transforms that accept torch.Tensor / np.ndarray from the beginning
  • 6f93905 Release 3.2.0
  • 13b01ec Add MobileCLIP2 model configs & pretrained weights. Needs latest timm for S3/...
  • 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@v2.24.0...v3.3.0)

---
updated-dependencies:
- dependency-name: open-clip-torch
  dependency-version: 3.3.0
  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 Sep 6, 2026
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