mirror of
https://github.com/vale981/ray
synced 2025-03-09 04:46:38 -04:00
757866ec01
* Refactor placement group factory object to accept placement_group arguments instead of callables * Convert resources to pgf * Enable placement groups per default * Fix tests WIP * Fix stop/resume with placement groups * Fix progress reporter test * Fix trial executor tests * Check resource for trial, not resource object * Move ENV vars into class * Fix tests * Sphinx * Wait for trial start in PBT * Revert merge errors * Support trial reuse with placement groups * Better check for just staged trials * Fix trial queuing * Wait for pg after trial termination * Clean up PGs before tune run * No PG settings in pbt scheduler * Fix buffering tests * Skip test if ray reports erroneous available resources * Disable PG for cluster resource counting test * Debug output for tests * Output in-use resources for placement groups * Don't start new trial on trial start failure * Add docs * Cleanup PGs once futures returned * Fix placement group shutdown * Use updated_queue flag * Apply suggestions from code review * Apply suggestions from code review * Update docs * Reuse placement groups independently from actors * Do not remove placement groups for paused trials * Only continue enqueueing trials if it didn't fail the first time * Rename parameter * Fix pause trial * Code review + try_recover * Update python/ray/tune/utils/placement_groups.py Co-authored-by: Richard Liaw <rliaw@berkeley.edu> * Move placement group lifecycle management * Move total used resources to pg manager * Update FAQ example * Requeue trial if start was unsuccessful * Do not cleanup pgs at start of run * Revert "Do not cleanup pgs at start of run" This reverts commit 933d9c4c * Delayed PG removal * Fix trial requeue test * Trigger pg cleanup on status update * Fix tests * Fix docs * fix-test Signed-off-by: Richard Liaw <rliaw@berkeley.edu> Co-authored-by: Richard Liaw <rliaw@berkeley.edu> |
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| .. | ||
| _faq.rst | ||
| overview.rst | ||
| README.rst | ||
| tune-advanced-tutorial.rst | ||
| tune-distributed.rst | ||
| tune-lifecycle.rst | ||
| tune-mlflow.rst | ||
| tune-pytorch-cifar.rst | ||
| tune-pytorch-lightning.rst | ||
| tune-serve-integration-mnist.py | ||
| tune-sklearn.py | ||
| tune-tutorial.rst | ||
| tune-wandb.rst | ||
| tune-xgboost.rst | ||
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