[train] New persistence mode: Support the tune.run(restore="ckpt_path") API
#38804
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Signed-off-by: Justin Yu <justinvyu@anyscale.com>
Signed-off-by: Justin Yu <justinvyu@anyscale.com>
Signed-off-by: Justin Yu <justinvyu@anyscale.com>
Signed-off-by: Justin Yu <justinvyu@anyscale.com>
Signed-off-by: Justin Yu <justinvyu@anyscale.com>
Signed-off-by: Justin Yu <justinvyu@anyscale.com>
ericl
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Aug 24, 2023
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@krfricke ok to merge if looks good. Are you ok with the slight API behavior change here? |
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ping @zhe-thoughts for approval for 2.7 |
krfricke
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Aug 24, 2023
…persistence/trial_restore
Signed-off-by: Justin Yu <justinvyu@anyscale.com>
zhe-thoughts
approved these changes
Aug 24, 2023
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Checked with @aslonnie and confirmed CI is OK |
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Checked with @aslonnie and confirmed CI is OK |
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…h")` API (ray-project#38804) Signed-off-by: Justin Yu <justinvyu@anyscale.com> Signed-off-by: e428265 <arvind.chandramouli@lmco.com>
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…h")` API (ray-project#38804) Signed-off-by: Justin Yu <justinvyu@anyscale.com>
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…h")` API (ray-project#38804) Signed-off-by: Justin Yu <justinvyu@anyscale.com> Signed-off-by: Victor <vctr.y.m@example.com>
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Why are these changes needed?
tune.run(restore="/path/to/local/checkpoint")previously didn't work. This PR allows you to resume training a single trial from a checkpoint. However, this does NOT load back the training iteration from before. It just starts from scratch with the checkpoint. It's more similar toTrainer(resume_from_checkpoint)now. This is a behavior change due to the "trainable metadata" (including the training iter) no longer being saved within the checkpoint.Related issue number
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.