Artur Niederfahrenhorst
0dceddb912
[RLlib] Move learning_starts logic from buffers into training_step(). ( #26032 )
2022-08-11 13:07:30 +02:00
Artur Niederfahrenhorst
4fe47d069f
[RLlib] Require ApeX LR schedule test to produce learner info. ( #27557 )
2022-08-08 18:19:02 +02:00
Kai Fricke
8fda425eca
[tune/rllib] Hotfix ml_utils deprecation import error ( #27095 )
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The changes conflicted with a recently merged PR that refactored the package structure (#27005 ).
Signed-off-by: Kai Fricke <kai@anyscale.com>
2022-07-27 16:11:58 +01:00
Amog Kamsetty
862d10c162
[AIR] Remove ML code from ray.util ( #27005 )
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Removes all ML related code from `ray.util`
Removes:
- `ray.util.xgboost`
- `ray.util.lightgbm`
- `ray.util.horovod`
- `ray.util.ray_lightning`
Moves `ray.util.ml_utils` to other locations
Closes #23900
Signed-off-by: Amog Kamsetty <amogkamsetty@yahoo.com>
Signed-off-by: Kai Fricke <kai@anyscale.com>
Co-authored-by: Kai Fricke <kai@anyscale.com>
2022-07-27 14:24:19 +01:00
Avnish Narayan
9063cc9d5e
[RLlib] Fix memory leak in APEX_DQN ( #26691 )
2022-07-19 16:16:24 -07:00
Avnish Narayan
af41f21be0
[RLlib] Make queue placement ops blocking ( #26581 )
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Signed-off-by: avnish avnish@anyscale.com
This change should fix issues with IMPALA and potentially APEX that stem from the various learner threads
Signed-off-by: avnish <avnish@anyscale.com>
2022-07-19 20:07:36 +01:00
Sven Mika
ca913ff6d6
[RLlib] Eval WorkerSet crashes when trying to re-add a failed worker (eval set does not have local worker). ( #26134 )
2022-06-30 13:25:22 +02:00
Artur Niederfahrenhorst
ecd6047e39
Revert "[RLlib] Small Ape-X deflake. ( #26078 )" ( #26191 )
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This reverts commit 11a549d4bd
2022-06-29 10:25:47 -07:00
Artur Niederfahrenhorst
11a549d4bd
[RLlib] Small Ape-X deflake. ( #26078 )
2022-06-29 14:06:42 +02:00
Sven Mika
762cfbdff1
[RLlib] IMPALA and APPO metrics fixes; remove deprecated async_parallel_requests utility. ( #26117 )
2022-06-28 15:14:37 +02:00
Sven Mika
59a967a3a0
[RLlib] Cleanup some deprecated metric keys and classes. ( #26036 )
2022-06-23 21:30:01 +02:00
Kai Fricke
0959f44b6f
[tune/structure] Introduce execution package ( #26015 )
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Execution-specific packages are moved to tune.execution.
Co-authored-by: Xiaowei Jiang <xwjiang2010@gmail.com>
2022-06-23 11:13:19 +01:00
Sven Mika
1499af945b
[RLlib] Algorithm step() fixes: evaluation should NOT be part of timed training_step loop. ( #25924 )
2022-06-20 19:53:47 +02:00
Artur Niederfahrenhorst
a322cc5765
[RLlib] IMPALA/APPO multi-agent mix-in-buffer fixes (plus MA learning tests). ( #25848 )
2022-06-17 14:10:36 +02:00
Yi Cheng
7b8b0f8e03
Revert "[RLlib] Remove execution plan code no longer used by RLlib. ( #25624 )" ( #25776 )
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This reverts commit 804719876b
2022-06-14 13:59:15 -07:00
Avnish Narayan
804719876b
[RLlib] Remove execution plan code no longer used by RLlib. ( #25624 )
2022-06-14 10:57:27 +02:00
Sven Mika
130b7eeaba
[RLlib] Trainer to Algorithm renaming. ( #25539 )
2022-06-11 15:10:39 +02:00
Sven Mika
7c39aa5fac
[RLlib] Trainer.training_iteration -> Trainer.training_step; Iterations vs reportings: Clarification of terms. ( #25076 )
2022-06-10 17:09:18 +02:00
Vince Jankovics
68444cd390
[tune] Custom resources per worker added to default_resource_request ( #24463 )
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This resolves the `TODO(ekl): add custom resources here once tune supports them` item.
Also, related to the discussion [here](https://discuss.ray.io/t/reserve-workers-on-gpu-node-for-trainer-workers-only/5972/5 ).
Co-authored-by: Kai Fricke <kai@anyscale.com>
2022-06-06 22:41:02 +01:00
Sven Mika
b5bc2b93c3
[RLlib] Move all remaining algos into algorithms directory. ( #25366 )
2022-06-04 07:35:24 +02:00
