Orbax provides common checkpointing and persistence utilities for JAX users.
Refer to our full documentation here.
pip install orbax-checkpoint (latest PyPi release) OR
pip install 'git+https://github.com/google/orbax/#subdirectory=checkpoint'
(from this repository, at HEAD)
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.
Note
Please see Announcements for important updates.
pip install orbax-export (latest PyPi release) OR
pip install 'git+https://github.com/google/orbax/#subdirectory=export'
(from this repository, at HEAD)
import orbax.export
Orbax also includes a serialization library for JAX users, enabling the exporting of JAX models to the TensorFlow SavedModel format.
Note that orbax-export requires TensorFlow, but does not include it by default
to allow for flexibility in version choice. If you wish to install with standard
TensorFlow, please use pip install orbax-export[all].
You can find the latest releases of Orbax Checkpointing at orbax-checkpoint and for Orbax Export at orbax-export.
Contact [email protected] for help or with any questions about Orbax!
Orbax was initially published as a catch-all package itself. In order to
minimize dependency bloat for users, we have frozen that package at
orbax-0.1.6, and will continue to release future changes under the
domain-specific utilities detailed above (e.g. orbax-checkpoint).
As we have preserved the orbax namespace, existing import statements can remain
unchanged (e.g. from orbax import checkpoint).
