Add PyTorch 2.8 compatibility for OpenAI CLIP models#30
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- Automatically disable JIT compilation for OpenAI CLIP models in PyTorch 2.8+ to avoid TorchScript NotImplementedError issues - Add temporary torch.load patching during model loading to handle weights_only parameter - Include user warning when automatically disabling JIT - Remove deepsparse dependency for Python 3.10+ compatibility - Maintain backward compatibility with older PyTorch versions - All core tests passing (openai_clip, open_clip, hf_clip) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
8 tasks
- Update test dependencies: black 23.12.1→25.1.0, mypy 1.8.0→1.17.1, pylint 3.0.3→3.3.8, pytest 7.4.4→8.4.1, pytest-cov 4.1.0→6.2.1, pytest-xdist 3.5.0→3.7.0 - Update GitHub Actions: checkout@v2→@v4, setup-python@v2→@v5, Python 3.8→3.11 - Update mypy.ini: python_version 3.8→3.10 for compatibility with mypy 1.17.1 - Remove outdated model tests (nm, ja_clip) from CI workflow to match current test matrix - Auto-format code with black 25.1.0 for consistency - All tests passing with updated dependencies 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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🤖 Generated with Claude Code