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synced 2026-06-27 22:38:16 +08:00
Maksim Smolin
e95455b7d7
* Update issue templates * Init fp16 * fp16 and schedulers * scheduler linking and fp16 * to fp16 * loss scaling and documentation * more documentation * add tests, refactor config * moredocs * more docs * fix logo, add test mode, add fp16 flag * fix tests * fix scheduler * fix apex * improve safety * fix tests * fix tests * remove pin memory default * rm * fix * Update doc/examples/doc_code/raysgd_torch_signatures.py * fix * migrate changes from other PR * ok thanks * pass * signatures * lint' * Update python/ray/experimental/sgd/pytorch/utils.py * Apply suggestions from code review Co-Authored-By: Edward Oakes <ed.nmi.oakes@gmail.com> * should address most comments * comments * fix this ci * first_pass * add overrides * override * fixing up operators * format * sgd * constants * rm * revert * Checkpoint the basics * End of day checkpoint * Checkpoint log-to-head implementation * Checkpoint * Add actor-based batch log reporting, currently segfaults * Work around progress segfault * Fix some stuff in quicktorch * Make things more customizable * Quality of life fixes * More quality of life * Move tqdm logic to training_operator * Update examples * Fix some minor bugs * Fix merge * Fix small things, add pbar to dcgan * Run format.sh * Fix missing epoch number for batch pbar * Address PR comments * Fix float is not subscriptable * Add train_loss to pbar by default * Isolate tqdm code into a handler system * Format * Remove the batch_logs_reporter from distributed runner as well * Check if the train_loss is avaialbale before using it * Enable tqdm in the dcgan example * Fix a crash in no-handler trainers * Fix * Allow not calling set_reporters for tests Co-authored-by: Philipp Moritz <pcmoritz@gmail.com> Co-authored-by: Richard Liaw <rliaw@berkeley.edu> Co-authored-by: Edward Oakes <ed.nmi.oakes@gmail.com>