Comments (3)
Ah ok thanks, that works! Sending a change now.
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Thanks for pointing this out! importlib_resources
is needed by our etils
import - for some reason it doesn't get included automatically. The cached_property
dependency does seem unneeded though.
from orbax.
Looking at https://github.com/google/etils/blob/4a042b574ddcb6be0e0787539962f874535fb508/pyproject.toml, etils
only has optional dependencies, so orbax-checkpoint
should depend on etils[epath,epy]
rather than plain etils
+ importlib_resources
.
That way we'll automatically stop depending on the backport when etils
drops it or makes it version-specific 🙂
from orbax.
Related Issues (20)
- Running orbax from an existing asyncio event loop HOT 5
- How to restore a checkpoint with only partial knowledge of it? HOT 2
- Cannot install orbax-checkpoint due to uvicorn error HOT 1
- Best practice for tracking the best *and* latest? HOT 1
- Any way to have CheckpointManager write earlier checkpoints? HOT 2
- Incompatibility with Haiku HOT 4
- Questions about loading and writing checkpoints in distributed training HOT 4
- Could you please provide the py.typed file for type checking?
- AttributeError: 'Config' object has no attribute 'jax_coordination_service' HOT 2
- Issue loading checkpoint step during Paxml evaluation HOT 3
- Async checkpointer failure handling HOT 3
- Dependency array-record Not Available on ARM64 Architecture HOT 2
- Importing orbax before TensorFlow silences important logging from TensorFlow
- Support checkpointing new-style `jax.random.key` HOT 6
- Array has been deleted HOT 4
- How to restore on a CPU a checkpoint saved on a GPU? HOT 1
- Checkpoint Manager using different directory paths for save and restore HOT 2
- Cannot restore sharded array on different machine HOT 8
- How to restore a variable from checkpoint saved in cpu back in cpu when you have both gpu and cpu? HOT 5
- Strange behavior of saving sharded trainstate in GCP. HOT 3
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