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[air] Do not warn of checkpoint_dir
if it's coming from us (base_trainer).
#26259
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Co-authored-by: Antoni Baum <[email protected]>
Co-authored-by: Antoni Baum <[email protected]>
Co-authored-by: Antoni Baum <[email protected]>
…ainer). This will be removed once internally we migrate to use `session` API.
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This is a bit hacky. Can we just add a flag to wrap_function
to not warn or alternatively just trigger log_once("tune_checkpoint_dir_deprecation")
in our trainers?
Good point! Updated to |
* master: (104 commits) [Serve] Java Client API and End to End Tests (ray-project#22726) [Docs] Small fix to AIR examples descriptions (ray-project#26227) [Deployment Graph] Move `Deployment` creation outside to build function (ray-project#26129) [K8s][Ray Operator] Ignore resource requests when detected container resources. (ray-project#26234) Revert "[Core] Add retry exception allowlist for user-defined filteri… (ray-project#26289) [ci] pin gpustat (ray-project#26311) [tune] fix `set_tune_experiment` (ray-project#26298) Revert "Revert "[AIR][Serve] Rename ModelWrapperDeployment -> PredictorDeployment"" (ray-project#26231) [Release] Use nightly base images for release tests (ray-project#25373) Revert "[Core] fix gRPC handlers' unlimited active calls configuration (ray-project#25626)" (ray-project#26202) [RLlib] Some Docs fixes (2). (ray-project#26265) [C++ worker] Refine worker context and more (ray-project#26281) Fix file_system_monitor.cc message (ray-project#26143) [Java] Make Java test more stable (ray-project#26282) [air] Do not warn of `checkpoint_dir` if it's coming from us (base_trainer). (ray-project#26259) [Datasets] Support drop_columns API (ray-project#26200) [Datasets] Fix max number of actors for default actor pool strategy (ray-project#26266) [ci] Stop syncer staging tests (ray-project#26273) [core][gcs] Add storage namespace to redis storage in GCS. (ray-project#25994) [workflow] Deprecate workflow.create (ray-project#26106) ...
Why are these changes needed?
Currently, the following information will be printed even the user is not directly using a tune function. This is confusing and not actionable.
The new logic check if
base_trainer
is in the call stack and only adds the warning message when it is not. The new logic will be removed once internally we migrate to usesession
API.Related issue number
Checks
scripts/format.sh
to lint the changes in this PR.