Ray pipeline #1
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Ray pipeline #1
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alindkhare
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Dec 7, 2019
* Precede ray.get with ray.wait. * Trigger checkpoint deletes locally in Trainable * Clean-up code. * Minor changes. * Track best checkpoint so far again * Pulled checkpoint GC out of Trainable. * Added comments, error logging. * Immediate pull after checkpoint taken; rsync source delete on pull * Minor doc fixes * Fix checkpoint manager bug * Fix bugs, tests, formatting * Fix bugs, feature flag for force sync. * Fix test. * Fix minor bugs: clear proc and less verbose sync_on_checkpoint warnings. * Fix bug: update IP of last_result. * Fixed message. * Added a lot of logging. * Changes to ray trial executor. * More bug fixes (logging after failure), better logging. * Fix richards bug and logging * Add comments. * try-except * Fix heapq bug. * . * Move handling of no available trials to ray_trial_executor (#1) * Fix formatting bug, lint. * Addressed Richard's comments * Revert tests. * fix rebase * Fix trial location reporting. * Fix test * Fix lint * Rebase, use ray.get w/ timeout, lint. * lint * fix rebase * Address richard's comments
alindkhare
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Feb 11, 2021
alindkhare
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Feb 11, 2021
…unicator caching (ray-project#12935) * other collectives all work * auto-linting * mannual linting #1 * mannual linting 2 * bugfix * add send/recv point-to-point calls * add some initial code for communicator caching * auto linting * optimize imports * minor fix * fix unpassed tests * support more dtypes * rerun some distributed tests for send/recv * linting
alindkhare
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Feb 17, 2021
* WIP. * Fix. * Fix. * Fix.
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Why are these changes needed?
Implementation of a simple model pipeline on top of Ray Serve with some API changes in Ray Serve. This is experimental research code.
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No related issues
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scripts/format.shto lint the changes in this PR.