Metadata-Version: 2.1
Name: orbax-checkpoint
Version: 0.2.0
Summary: Orbax Checkpoint
Keywords: JAX machine learning,checkpoint,training
Author-email: Orbax Authors <orbax-dev@google.com>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: absl-py
Requires-Dist: cached_property
Requires-Dist: importlib_resources
Requires-Dist: etils
Requires-Dist: typing_extensions
Requires-Dist: msgpack
Requires-Dist: jax >= 0.4.8
Requires-Dist: jaxlib
Requires-Dist: numpy
Requires-Dist: pyyaml
Requires-Dist: tensorstore >= 0.1.35
Requires-Dist: nest_asyncio
Requires-Dist: flax ; extra == "dev"
Requires-Dist: pytest ; extra == "dev"
Requires-Dist: pytest-xdist ; extra == "dev"
Project-URL: homepage, http://github.com/google/orbax
Project-URL: repository, http://github.com/google/orbax
Provides-Extra: dev

# Orbax Checkpointing

`pip install orbax-checkpoint`

`import orbax.checkpoint`

Orbax includes a checkpointing library oriented towards JAX users, supporting a
variety of different features required by different frameworks, including
asynchronous checkpointing, various types, and various storage formats.
We aim to provide a highly customizable and composable API which maximizes
flexibility for diverse use cases.

To get started, check out our [documentation](https://github.com/google/orbax/blob/main/docs/checkpoint.md).

Check out our [colab](http://colab.research.google.com/github/google/orbax/blob/main/checkpoint/orbax//checkpoint/orbax_checkpoint.ipynb) for a hands-on introduction.

