Kai Fricke 518427627b [tune] buffer trainable results (#13236) ... * Working prototype * Pass buffer length, fix tests * Don't buffer per default * Dispatch and process save in one go, added tests * Fix tests * Pass adaptive seconds to train_buffered, stop result processing after STOP decision * Fix tests, add release test * Update tests * Added detailed logs for slow operations * Update python/ray/tune/trial_runner.py Co-authored-by: Richard Liaw <rliaw@berkeley.edu> * Apply suggestions from code review * Revert tests and go back to old tuning loop * nit Co-authored-by: Richard Liaw <rliaw@berkeley.edu>		2021-01-12 18:52:47 +01:00
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test_result_buffering.py	[tune] buffer trainable results (#13236)	2021-01-12 18:52:47 +01:00