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PyPI · #2505 most downloaded on PyPI
Orbax Checkpoint
Last release 9 days ago
26 Sep 2026
Ships fairly regularly
a new release about every 3 weeks
Rarely documented
notes for 12 of the last 60 stable releases
Nothing withdrawn
no release was ever pulled
4 years old
113 releases · first in 2023
One column per quarter.
Add v1.training.pathways.Snapshotter to public API and docs, which provides a simple mechanism for scale-up/scale-down recovery with large-scale Pathw
CheckpointLayout.AUTO to detect the checkpoint layout fromv1.training.pathways.Snapshotter to public API and docs, which providesAdd FileOptions.skip_sync_file_validations to skip synchronized file validation during async checkpointing.
FileOptions.skip_sync_file_validations to skip synchronized fileNothing published for this version
Deprecate temporary_path_class in CheckpointManagerOptions in favor of atomicity_options with AtomicityMode .
AtomicityOptions and AtomicityMode (AUTO, COMMIT_FILE,ATOMIC_RENAME) to configure the checkpoint save atomicity protocol incommit_success.txt on all newly finalized checkpoints across allallow_legacy_atomic_rename option to AtomicityOptions to opt intoAtomicRename checkpointscommit_success.txt.multi_tier_checkpointing_backup_interval_steps parametertemporary_path_class in CheckpointManagerOptions in favor ofatomicity_options with AtomicityMode.SafetensorsOptions.max_over_read_ratio, picked per file from the plannedSafetensorsOptions.read_chunk_bytes each, bounded byMemoryOptions.read_concurrent_bytes), replacing the transient-arrayNothing published for this version
Update MTC w/ Pathways to Support Scale Elasticity.
gcs_grpc driver.Add LatestDuration preservation policy to support duration-based (TTL) checkpoint retention.
LatestDuration preservation policy to support duration-based (TTL)EveryNStepsClosest preservation policy, which preserves checkpoints atinterval_steps.SerializationStatusCallback for save operations to track transfer andsave/load_pytree to save/load. Eliminate most user-facingdeprecations.py for handling deprecated public functions.Upgrade to TensorStore>=0.1.84 (and Python>=3.11 as a consequence.)
LeafHandler as a user-exposed layer (it remains as an internal layer).CheckpointerTensorstore non-atomic file I/O locking on local/POSIX-compatible filesystems to avoid unnecessary renames.
Nothing published for this version
Add colocated runtime helpers for Pathways MTC.
StorageOptions into ArrayOptions and implement field-level
merging.LeafHandler as a CheckpointableHandler, so that ordinary PyTree
leaves can also be saved as individual checkpointables.Added #v1 Add auto loading functionality to load_pytree and pytree_metadata .
load_pytree and pytree_metadata.Add PyTorch DCP (Distributed Checkpoint) to the benchmark suite, with GCS connector and fsspec options.
step in orbax.checkpoint.experimental.v1.path.Increment Orbax version. PiperOrigin-RevId: 896170688
Increment Orbax version.
PiperOrigin-RevId: 896170688
Increment Orbax version. PiperOrigin-RevId: 871625440
Increment Orbax version.
PiperOrigin-RevId: 871625440
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