[tune] Clean up temporary checkpoint directories for class trainables (ex: RLlib) #44366
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Signed-off-by: Justin Yu <[email protected]>
matthewdeng
reviewed
Apr 19, 2024
| # NOTE: There's no need to supply the checkpoint directory inside | ||
| # the local trial dir, since it'll get persisted to the right location. | ||
| @contextmanager | ||
| def _create_checkpoint_dir(self, checkpoint_dir: Optional[str] = None): |
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Is this still used anywhere?
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Oh yeah I can delete this now.
…nup_cls_trainable_tmpdirs Signed-off-by: Justin Yu <[email protected]>
Signed-off-by: Justin Yu <[email protected]>
ryanaoleary
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Jun 7, 2024
… (ex: RLlib) (ray-project#44366) Clean up temporary checkpoint folders of class trainables after they've been persisted to storage. --------- Signed-off-by: Justin Yu <[email protected]>
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Why are these changes needed?
Class
Trainables currently create a temporary directory and provides it as the argument to the user-definedsave_checkpoint. The temporary checkpoint directory gets persisted to storage after the user code executes, but it never gets cleaned up after. This leads to a build-up of many checkpoint "staging" folders that need to be manually deleted. RLlib is affected due toAlgorithms being class trainables.This PR cleans up the checkpoint folders right after they've been copied to storage.
Related issue number
Closes #43092
Checks
git commit -s) in this PR.scripts/format.shto lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/under thecorresponding
.rstfile.