v8.2.1: Support Python 3.12

✨ New features and improvements

Updates and binary wheels for Python 3.12.

👥 Contributors

@adrianeboyd, @honnibal, @ines, @svlandeg

v8.2.0: Disable automatic MXNet and TensorFlow imports

✨ New features and improvements

To improve loading times and reduce conflicts, MXNet and TensorFlow are no longer imported automatically (#890).

⚠️ Backwards incompatibilities

MXNet and TensorFlow support needs to be enabled explicitly. Previously, MXNet and TensorFlow were imported automatically if they were available in the current environment.

To enable MXNet:

from thinc.api import enable_mxnet
enable_mxnet()

To enable TensorFlow:

from thinc.api import enable_tensorflow
enable_tensorflow()

With spaCy CLI commands you can provide this custom code using -c code.py. For training use spacy train -c code.py and to package your code with your pipeline use spacy package -c code.py.

Future deprecation warning: built-in MXNet and TensorFlow support will be removed in Thinc v9. If you need MXNet or TensorFlow support in the future, you can transition to using a custom copy of the current MXNetWrapper or TensorFlowWrapper in your package or project.

👥 Contributors

@adrianeboyd, @danieldk, @honnibal, @ines, @svlandeg

v8.1.12: Support zero-length batches and hidden sizes in reductions

🔴 Bug fixes

• Support zero-length batches and hidden sizes in reduce_{max,mean,sum} (#882).
• Preserve values with dtype for NumpyOps/CupyOps.asarray (#897).

👥 Contributors

@adrianeboyd, @danieldk, @honnibal, @ines, @svlandeg

v8.1.11: Support Pydantic v2, update package setup

✨ New features and improvements

• Update NumPy build constraints for NumPy v1.25 (#885).
• Switch from distutils to setuptools/sysconfig (#888).
• Allow Pydantic v2 using transitional v1 support (#891).

📖 Documentation and examples

• Fix typo in example code (#879).

👥 Contributors

@adrianeboyd, @Ankush-Chander, @danieldk, @honnibal, @ines, @svlandeg

v8.1.10: Lazy loading for CuPy kernels and additional CuPy and MPS improvements

✨ New features and improvements

• Implement pad as a CUDA kernel (#860).
• Avoid h2d - d2h roundtrip when using unflatten (#861).
• Improve exception when CuPy/PyTorch MPS is not installed (#863).
• Lazily load custom cupy kernels (#870).

🔴 Bug fixes

• Initially load TorchScript models on CPU for MPS devices (#864).

👥 Contributors

@adrianeboyd, @danieldk, @honnibal, @ines, @shadeMe, @svlandeg

v8.1.9: Type fixes

🔴 Bug fixes

• Fix type signature of Model.begin_update (#858).

👥 Contributors

@danieldk, @honnibal, @ines

v8.1.8: New faster mapping layer and bug fixes for resizeable layer

✨ New features and improvements

• Add premap_ids.v1 layer for mapping from ints to ints (#815).
• Update to mypy 1.0.x (#848).

🔴 Bug fixes

• Make resizable layer work with textcat and transformers (#820).

📖 Documentation

• Update website including Dockerfile (#843, #844, #845).

👥 Contributors

@adrianeboyd, @danieldk, @essenmitsosse, @honnibal, @ines, @kadarakos, @patjouk, @polm, @svlandeg

v8.1.7: Updated layers and extended requirements

✨ New features and improvements

• Add with_flatten.v2 layer with symmetric input/output types (#821).
• Extend to typing_extensions v4.4.x for Python 3.6 and 3.7 (#833).

📖 Documentation

• Update Gatsby for thinc.ai (#827).

👥 Contributors

@adrianeboyd, @albertvillanova, @danieldk, @essenmitsosse, @honnibal, @ines, @shadchin, @shadeMe, @svlandeg

v8.1.6: New and updated layers, bug fixes and more

✨ New features and improvements

• Update to mypy 0.990 (#801).
• Extend to wasabi v1.1 (#813).
• Add SparseLinear.v2, to fix indexing issues (#754).
• Add TorchScriptWrapper_v1 (#802).
• Add callbacks to facilitate lazy-loading models in PyTorchShim (#796).
• Make all layer defaults serializable (#808).

🔴 Bug fixes

• Add missing packaging requirement (#799).
• Correct sequence length error messages for reduce_first/last (#807).
• Update CupyOps.asarray to always copy cupy arrays to the current device (#812).
• Fix types for sequences passed to Ops.asarray* (#819).

👥 Contributors

@adrianeboyd, @danieldk, @frobnitzem, @honnibal, @ines, @richardpaulhudson, @ryndaniels, @shadeMe, @svlandeg

v8.1.5: Updates for Python 3.11

✨ New features and improvements

• Updates and binary wheels for Python 3.11 (#793).
• Make __all__ static to support type checking (#780).

👥 Contributors

@adrianeboyd, @honnibal, @ines, @rmitsch