1a1ff28d18
[tune] allow tune search spaces to be passed to search algorithms ( #11503 )
2020-10-26 12:33:13 -07:00
1b357533b1
[tune] Try to enable PTL, SKlearn tests ( #11542 )
2020-10-24 01:08:46 -07:00
ed81010b0d
[tune] support hierarchical search spaces for hyperopt ( #11431 )
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* support hierarchical search spaces for hyperopt
* Reduce num samples
* Fix prefix
2020-10-19 16:00:08 -07:00
202b1859ef
[tune] Update ZOOpt to better support the latest Ray ( #11462 )
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Co-authored-by: Servon <zewen.li@polixir.ai >
2020-10-19 09:28:11 -07:00
f7120d2a18
[tune] Make metrics parameter optional in pytorch lightning integration ( #11402 )
2020-10-14 17:50:34 -07:00
933cf6675c
[Tune] Changes for Pytorch Lightning 1.0 ( #11375 )
2020-10-13 15:50:11 -07:00
b450cb030a
[tune] reuse actors for function API ( #11230 )
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Co-authored-by: Kristian Hartikainen <kristian.hartikainen@gmail.com >
2020-10-08 16:15:02 -07:00
74e9647ec3
[tune] deactivate flaky test for now ( #11284 )
2020-10-08 15:40:04 -07:00
1027bfd4b8
[Tune, Ray SGD] Update PTL integrations ( #11271 )
2020-10-08 13:43:07 -07:00
bdf647c4ec
[tune] docker syncer ( #11035 )
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* Add DockerSyncer
* Add docs
* Update python/ray/tune/integration/docker.py
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
* Updated docs
* fix dir
* Added docker integration test
* added docker integration test to bazel build
* Use sdk.rsync API
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-10-01 11:59:23 -07:00
c77cfaa5ad
[tune] use dated experiment dir per default ( #11104 )
2020-09-30 14:43:59 -07:00
10015e60fb
[tune] fix flaky callback test ( #11102 )
2020-09-29 09:44:32 -07:00
e7315b0856
[tune] Callbacks for tune runs ( #11001 )
2020-09-27 16:50:07 -07:00
609c1b8acd
Start moving ray internal files to _private module ( #10994 )
2020-09-24 22:46:35 -07:00
ee85cb31a5
[Tune] Fix Memory Leak ( #10989 )
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Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-24 20:26:55 -07:00
d9c4dea7cf
[tune] strict metric checking ( #10972 )
2020-09-24 10:00:48 -07:00
5921e87ecd
[tune] Only add new trial when there is no pending trial ( #10979 )
2020-09-23 11:08:12 -07:00
6247740b94
[tune] sort running trials to top in status table ( #10926 )
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Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-21 13:39:51 -07:00
6a227ae501
[autoscaler] Split autoscaler interface public private ( #10898 )
2020-09-18 18:16:23 -07:00
508cfa3540
[tune] Support yield and return statements ( #10857 )
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* Support `yield` and `return` statements in Tune trainable functions
* Support anonymous metric with ``tune.report(value)``
* Raise on invalid return/yield value
* Fix end to end reporter test
2020-09-17 20:18:35 -07:00
ee99c919e3
[tune] lazy trials ( #10802 )
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* Lazily fill trial queue
* Update interface
* Update end to end reporter test
* Removed `next_trials()` method
* Lint
* Print total number of samples to be generated in progress reporter. Allow infinite samples.
* Nit check
2020-09-17 08:51:46 -07:00
d3feb83053
[tune] check for running session ( #10840 )
2020-09-16 18:55:11 -07:00
0865d68466
[tune] convert fallback representation to numbers in wandb integration ( #10799 )
2020-09-15 11:47:11 -07:00
6edacb22b8
Fix abstraction violations in command_runner interface ( #10715 )
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* Fix abstraction violations in command_runner interface
* user guide
* lint
* breaking abstraction in commands
* extra initialization commands
* more cleanup
* small fixes
* fix test_integration_kubernetes.py
* lint
Co-authored-by: root <root@ip-172-31-28-155.us-west-2.compute.internal >
Co-authored-by: Ameer Haj Ali <ameerhajali@Ameers-MacBook-Pro.local >
2020-09-14 20:28:38 -07:00
5bc2ba38fd
[docker] Detect CPUs in container correctly ( #10507 )
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Co-authored-by: simon-mo <simon.mo@hey.com >
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
Co-authored-by: Alex Wu <itswu.alex@gmail.com >
2020-09-13 23:40:48 -07:00
6662efd74b
[tune/rllib] revert removal of queue-trials ( #10744 )
2020-09-11 14:13:20 -07:00
7eaf063f29
[tune] wrapper function to pass arbitrary objects through the object store to trainables ( #10679 )
2020-09-10 17:39:44 -07:00
153813936b
[tune] auto infer metrics ( #10663 )
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Co-authored-by: Kai Fricke <krfricke@users.noreply.github.com >
Co-authored-by: Kai Fricke <kai@anyscale.com >
2020-09-09 09:53:47 -07:00
d7c7aba99c
[tune] Tune experiment analysis improvements ( #10645 )
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Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-08 21:00:52 -07:00
756a9ea641
[tune] add mode/metric parameters to tune.run ( #10627 )
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Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-08 17:06:21 -07:00
87c4f36f02
[tune] Added timeout parameter to tune.run(), ( #10642 )
2020-09-08 15:38:28 -07:00
5851e893ee
[tune] More robust resolution/detection of signature ( #10365 )
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Co-authored-by: Amog Kamsetty <amogkam@users.noreply.github.com >
2020-09-08 11:38:16 -07:00
088f8ebb69
[tune] Add algorithms for search space conversion ( #10621 )
2020-09-07 13:44:16 -07:00
c5e9bafe15
[tune] Fix flaky test in test_sample ( #10602 )
2020-09-06 10:29:48 -07:00
551c597312
[tune] API revamp fix ( #10518 )
2020-09-05 15:34:53 -07:00
54215ff287
[tune] implement shim instantiation ( #10456 )
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* Create ray.tune.suggest.create.create_scheduler
* Update __init__.py
* Resolve conflict in __init__.py
* Create ray.tune.schedulers.create.create_scheduler
* Update __init__.py
* Move create_scheduler to tune.schedulers.__init__
* Move create_searcher to tune.suggest.__init__
* Delete tune.suggest.create
* Delete tune.schedulers.create
* Update imports for shim functions in tune.__init__
* Remove shim from tune.suggest.__init__.__all__
* Remove shim from tune.schedulers.__init__.__all__
* Add ShimCreationTest
* Move ShimCreationTest to test_api
* Delete test_shim.py
* Add docstring for ray.tune.create_scheduler
* Add docstring to ray.tune.create_searcher
* Fix typo in ray.tune.create_scheduler docstring
* Fix lint errors in tune.schedulers.__init__
* Fix lint errors in tune.suggest.__init__
* Fix lint errors in tune.suggest.__init__
* Fix lint errors in tune.schedulers.__init__
* Fix imports in test_api
* Fix lint errors in test_api
* Fix kwargs in create_searcher
* Fix kwargs in create_scheduler
* Merge branch 'master' into shim-instantiation
* Update use-case in docs in tune.create_scheduler
* Update use-case in docs in tune.create_searcher
* Remove duplicate pytest run from test_api
* Add check to create_searcher
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
* Add check to create_scheduler
* lint
* Compare types of instances in test_api
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
* Add tune.create_searcher to docs
* Fix doc build
* Fix tests
* Add tune.create_scheduler to docs
* Fix tests
* Fix lint errors
* Update Ax search for master
* Fix metric kwarg for Ax in test_api
* Fix doc build
* Fix HyperOptSearch import in test_api
* Fix HyperOptSearch import in create_searcher
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-05 09:36:42 -07:00
6b6780a108
[tune] Allow trials to remain paused in BOHB ( #10531 )
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Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-04 15:29:33 -07:00
2e49e22f21
[tune] Add test_sample to bazel BUILD ( #10566 )
2020-09-04 09:09:02 -07:00
43a7a64b30
[tune] horovod trainable ( #10304 )
2020-09-03 16:53:35 -07:00
06af62ba91
[tune] refactor tune search space ( #10444 )
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* Added basic functionality and tests
* Feature parity with old tune search space config
* Convert Optuna search spaces
* Introduced quantized values
* Updated Optuna resolving
* Added HyperOpt search space conversion
* Convert search spaces to AxSearch
* Convert search spaces to BayesOpt
* Added basic functionality and tests
* Feature parity with old tune search space config
* Convert Optuna search spaces
* Introduced quantized values
* Updated Optuna resolving
* Added HyperOpt search space conversion
* Convert search spaces to AxSearch
* Convert search spaces to BayesOpt
* Re-factored samplers into domain classes
* Re-added base classes
* Re-factored into list comprehensions
* Added `from_config` classmethod for config conversion
* Applied suggestions from code review
* Removed truncated normal distribution
* Set search properties in tune.run
* Added test for tune.run search properties
* Move sampler initializers to base classes
* Add tune API sampling test, fixed includes, fixed resampling bug
* Add to API docs
* Fix docs
* Update metric and mode only when set. Set default metric and mode to experiment analysis object.
* Fix experiment analysis tests
* Raise error when delimiter is used in the config keys
* Added randint/qrandint to API docs, added additional check in tune.run
* Fix tests
* Fix linting error
* Applied suggestions from code review. Re-aded tune.function for the time being
* Fix sampling tests
* Fix experiment analysis tests
* Fix tests and linting error
* Removed unnecessary default_config attribute from OptunaSearch
* Revert to set AxSearch default metric
* fix-min-max
* fix
* nits
* Added function check, enhanced loguniform error message
* fix-print
* fix
* fix
* Raise if unresolved values are in config and search space is already set
Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-09-03 09:06:13 -07:00
09d4a3241f
[tune] Support true pooling and batched concurrency ( #10352 )
2020-09-01 10:33:49 -07:00
f3f698816d
[tune] Added PyTorch Lightning callbacks to integrations ( #10220 )
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Co-authored-by: Richard Liaw <rliaw@berkeley.edu >
2020-08-31 15:30:48 -07:00
efa1d51aea
[tune] Added external PyTorch tutorial test ( #10192 )
2020-08-31 15:24:31 -07:00
afde3db4f0
[Tune] Synchronous Mode for PBT ( #10283 )
2020-08-31 00:00:47 -07:00
cb438be146
[core] Move log_to_driver back to public ( #10422 )
2020-08-29 16:35:14 -07:00
519354a39a
[api] Initial API deprecations for Ray 1.0 ( #10325 )
2020-08-28 15:03:50 -07:00
f75dfd60a3
[api] API deprecations and cleanups for 1.0 (internal_config and Checkpointable actor) ( #10333 )
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* remove
* internal config updates, remove Checkpointable
* Lower object timeout default
* remove json
* Fix flaky test
* Fix unit test
2020-08-27 10:19:53 -07:00
146d91385c
[tune] custom trial directory name ( #10214 )
2020-08-25 12:52:54 -07:00
6bd5458bef
[tune] cleanup error messaging/diagnose_serialization helper ( #10210 )
2020-08-22 11:50:49 -07:00
24ee496b89
[tune] support rerunning failed trials ( #10060 )
2020-08-22 09:59:05 -07:00
Kai Fricke