c75ada9e04
[Autoscaler][K8s] Enforce memory limit in k8s yaml ( #6138 )
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* Enforce memory limit in k8s yaml
* Update python/ray/autoscaler/kubernetes/example-full.yaml
Co-Authored-By: Edward Oakes <ed.nmi.oakes@gmail.com >
* Line wrap
2019-11-11 14:06:34 -08:00
776b071f3b
[tune] Let Search Algorithms use early stopped trials ( #5651 )
2019-11-11 09:38:14 -08:00
5780ec1b62
Refresh ObjectIDs in raylet for stopgap GC ( #6109 )
2019-11-10 23:12:59 -08:00
decaa65cd6
Use pickle by default for serialization ( #5978 )
2019-11-10 18:12:18 -08:00
01aee8d970
[autoscaler] Retry creating EC2 instances in new AZ ( #6129 )
2019-11-09 19:44:27 -08:00
d17ae5ad7a
Update hyperband-cartpole.yaml ( #6121 )
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Typo
2019-11-09 19:39:03 -08:00
c157e93ba1
[tune] Retry failed tasks with checkpointing disabled ( #6126 )
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* Allow recovery for failed tasks without checkpointing
* Update docs
2019-11-09 19:35:27 -08:00
ccbcc4bafa
Use GRCP and Bazel 1.0 ( #6002 )
2019-11-08 15:58:28 -08:00
afca6d3d87
Object store full with cyclic python references ( #6114 )
2019-11-08 14:08:24 -08:00
83378a8610
Improve flaky test_warning_monitor_died ( #6113 )
2019-11-08 12:11:15 -08:00
4044af8520
Try to enable dashboard (again) ( #6069 )
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* Revert "Revert "Enable the Ray dashboard by default (#5976 )" (#6068 )"
This reverts commit 1a3e97cf23
2019-11-08 10:48:48 -08:00
5a05eaaa54
Fix compilation on master ( #6116 )
2019-11-07 22:38:42 -08:00
4a28306186
Allow large returns from direct actor calls ( #6088 )
2019-11-07 21:28:55 -08:00
ca53af4d0f
Add pending task dependencies to ObjectID ref counting ( #6054 )
2019-11-07 18:37:10 -08:00
1f043daf69
[rllib] Fix and add test for LR annealing config
2019-11-07 12:17:27 -08:00
fcb6bdbc39
[Doc] Document Actor.options API ( #6099 )
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* Document Actor.options API
* Undocument _remote
2019-11-06 23:12:23 -08:00
9820c10a09
Simplify gRPC service definition for the worker ( #6095 )
2019-11-06 13:00:39 -08:00
3f83b2daa9
[rllib] Rollout extensions ( #6065 )
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* Rollout improvements
* Make info-saving optional, to avoid breaking change.
* Store generating ray version in checkpoint metadata
* Keep the linter happy
* Add small rollout test
* Terse.
* Update test_io.py
2019-11-05 20:34:18 -08:00
2a0225dd25
[rllib] RLlib chooses wrong neural network model for Atari in 0.7.5 ( #6087 )
2019-11-05 11:36:29 -08:00
8f6d73a93a
[sgd] Extend distributed pytorch functionality ( #5675 )
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* raysgd
* apply fn
* double quotes
* removed duplicate TimerStat
* removed duplicate find_free_port
* imports in pytorch_trainer
* init doc
* ray.experimental
* remove resize example
* resnet example
* cifar
* Fix up after kwargs
* data_dir and dataloader_workers args
* formatting
* loss
* init
* update code
* lint
* smoketest
* better_configs
* fix
* fix
* fix
* train_loader
* fixdocs
* ok
* ok
* fix
* fix_update
* fix
* fix
* done
* fix
* fix
* fix
* small
* lint
* fix
* fix
* fix_test
* fix
* validate
* fix
* fi
2019-11-05 11:16:46 -08:00
82be14f943
Move gRPC calls outside of Raylet stats lock ( #6090 )
2019-11-05 00:47:15 -08:00
e312f3d282
Compatibility issues ( #6071 )
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* Pass -f - to tar to force stdin on Windows
* Quote paths that may contain spaces (causes issues on Windows)
* Copy over Windows code from Arrow for glog signal handle uninstall
* Add missing COPTS to build rules since we'll need them for Windows compatibility
* Begin adding COPTS for Windows compatibility
* Disable glog on Arrow until we change WIN32 to _WIN32 there
* Missing header files that cause problems on Windows
* WORD typedef conflicts with Windows; remove it
* uint -> unsigned int wherever we're dealing with milliseconds (signed version is already int)
* uint -> unsigned int for enums
* uint -> size_t, wherever we're dealing with sizes or indices into arrays
* Work around Boost 1.68 bug in detecting clang-cl (revert this after upgrading)
* Missing #include <unistd.h>
* Add check for signal handler uninstallation failure
* Linting issue
2019-11-05 00:08:14 -08:00
fefe050a58
Fix running out of file descriptors in the WebUI ( #6086 )
2019-11-04 21:17:36 -08:00
043d1f4094
Return RayObjects to core worker ( #6052 )
2019-11-04 20:27:57 -08:00
18241f4a2d
[tune] Added resources_per_trial arg to validate_save_restore u… ( #6032 )
2019-11-04 13:24:46 -08:00
c23eae5998
[Serve] Fix router-worker communication ( #5961 )
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* Half way there, needs the strict queuing fix
* Fix scale down, use callback
* Cleanup
* Address commments
* Comment, nit
* Fix docstring
2019-11-04 11:29:21 -08:00
8485304e83
Support concurrent Actor calls in Ray ( #6053 )
2019-11-04 01:14:35 -08:00
fbad6f543b
Try fixing actor handle destruction on py2 ( #6076 )
2019-11-03 22:46:40 -08:00
1c5446851a
Use Plasma with LRU refreshing integrated ( #6050 )
2019-11-03 16:19:05 -08:00
894885593c
Fix prometheus-cpp failure ( #6073 )
2019-11-03 15:05:47 -08:00
1a3e97cf23
Revert "Enable the Ray dashboard by default ( #5976 )" ( #6068 )
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This reverts commit 6166ef3e09
2019-11-01 17:08:37 -07:00
e94bebb1de
[tune] Fix Jenkins tests ( #6028 )
2019-11-01 16:42:04 -07:00
fb34928a2a
[minor] Perf optimizations for direct actor task submission ( #6044 )
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* merge optimizations
* fix
* fix memory err
* optimize
* fix tests
* fix serialization of method handles
* document weakref
* fix check
* bazel format
* disable on 2
2019-11-01 14:41:14 -07:00
eef4ad3bba
Report census view data as part of raylet node stats ( #6060 )
2019-11-01 14:26:09 -07:00
c8d7065bf3
[CI] Use rerunfailures instead of flaky ( #6061 )
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* Use rerunfailures instead of flaky
* Lint
2019-11-01 13:59:03 -07:00
6166ef3e09
Enable the Ray dashboard by default ( #5976 )
2019-11-01 12:19:01 -07:00
7f5b3502da
Implement Detached Actor ( #6036 )
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* Arg propagation works
* Implement persistent actor
* Add doc
* Initialize is_persistent_
* Rename persistent->detached
* Address comment
* Make test passes
* Address comment
* Python2 compatiblity
* Fix naming, py2
* Lint
2019-11-01 10:28:23 -07:00
f7455839bf
Expose raylet info to dashboard ( #6045 )
2019-10-31 17:36:59 -07:00
c86f945520
Support pass by ref args in for direct actor calls ( #6040 )
2019-10-31 16:55:10 -07:00
16891e9379
[rllib] Don't use flat weights in non-eager mode ( #6001 )
2019-10-31 15:16:02 -07:00
16e9dfd2e1
Exit workers when raylet dies unexpectedly ( #6014 )
2019-10-30 20:29:25 -07:00
e9e78871b9
Remove unused function definition caching ( #6042 )
2019-10-30 16:41:18 -07:00
56f3e96887
[Serve] Use ray's cloudpickle ( #6051 )
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* Revert "Add cloudpickle as doc requirements (#6037 )"
This reverts commit 03ce3b7c5b
2019-10-30 15:21:09 -07:00
4636fc2b78
Fix java ci ( #5964 )
2019-10-30 14:50:53 -07:00
8ebba202df
[minor] Reduce perf overhead of object ref tracking ( #6041 )
2019-10-29 18:14:51 -07:00
b89cac976a
Basic direct actor call support in Python ( #5991 )
2019-10-28 22:09:04 -07:00
4c4342c165
Bring back pytest-sugar ( #6038 )
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* Add cloudpickle as doc requirements
* Bring back pytest-sugar
* Revert "Add cloudpickle as doc requirements"
This reverts commit 2206e9e62ee20d93638e115f07a3fc933cbad9a3.
2019-10-28 20:24:28 -07:00
03ce3b7c5b
Add cloudpickle as doc requirements ( #6037 )
2019-10-28 18:25:02 -07:00
9e2c5f8218
[Serve] Put global state in remote actor ( #5937 )
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* Making progress
* Impl done, start debugging
* Tests all pass
* Add test, fix
* Update doc
* Fix type
2019-10-28 11:43:47 -07:00
c1418b04df
Remove CoreWorkerObjectInterface ( #6023 )
2019-10-28 10:48:41 -07:00
Simon Mo