fbc545c03b
[rllib] Support parallel, parameterized evaluation ( #6981 )
...
* eval api
* update
* sync eval filters
* sync fix
* docs
* update
* docs
* update
* link
* nit
* doc updates
* format
2020-02-01 22:12:12 -08:00
037aa2b961
[sgd] Refactor PyTorch SGD Documentation. ( #6910 )
...
* Refactor documentation and directory structurre
* update loss
* ,ore examples
* fix comments
* more code
* svgs
* formatting
* more_docs
* more writing
* comments ready
* move
* whitespace
* examples
* fix
* bold
* pytorch
* batch
* fix
* fix test
* Apply suggestions from code review
* quarantinegp
* tests/
* fix missing
2020-01-29 08:51:01 -08:00
446cbdf2e0
[RLlib] Fix issue (bug): LSTM + non-shared vf + PPO + tuple actions ( #6890 )
...
* Add `RandomEnv` example to examples folder.
Convert warning into Error message when using an LSTM in a non-shared-vf network (after the warning, the program would crash).
* LINT.
* Fix issue #6884 . LSTM + non-shared vf NN + PPO crashes when using a Tuple action space.
* LINT
* Change warning message for Model: shared_vf=False, LSTM=True cases.
* Bug fix.
* Add examples/random_env.py test to Jenkins.
2020-01-24 10:29:35 -08:00
ae9a3a2237
[RLlib] from_config util method for framework agnostic components; start moving RLlib tests into Bazel. ( #6865 )
2020-01-22 17:02:58 -08:00
c957ed58ed
[RLlib] Implement PPO torch version. ( #6826 )
2020-01-20 23:06:50 -08:00
60d4d5e1aa
Remove future imports ( #6724 )
...
* Remove all __future__ imports from RLlib.
* Remove (object) again from tf_run_builder.py::TFRunBuilder.
* Fix 2xLINT warnings.
* Fix broken appo_policy import (must be appo_tf_policy)
* Remove future imports from all other ray files (not just RLlib).
* Remove future imports from all other ray files (not just RLlib).
* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).
* Add two empty lines before Schedule class.
* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
2020-01-09 00:15:48 -08:00
f1b56fa5ee
PG unify/cleanup tf vs torch and PG functionality test cases (tf + torch). ( #6650 )
...
* Unifying the code for PGTrainer/Policy wrt tf vs torch.
Adding loss function test cases for the PGAgent (confirm equivalence of tf and torch).
* Fix LINT line-len errors.
* Fix LINT errors.
* Fix `tf_pg_policy` imports (formerly: `pg_policy`).
* Rename tf_pg_... into pg_tf_... following <alg>_<framework>_... convention, where ...=policy/loss/agent/trainer.
Retire `PGAgent` class (use PGTrainer instead).
* - Move PG test into agents/pg/tests directory.
- All test cases will be located near the classes that are tested and
then built into the Bazel/Travis test suite.
* Moved post_process_advantages into pg.py (from pg_tf_policy.py), b/c
the function is not a tf-specific one.
* Fix remaining import errors for agents/pg/...
* Fix circular dependency in pg imports.
* Add pg tests to Jenkins test suite.
2020-01-02 16:08:03 -08:00
5719a05757
[sgd] Add support for multi-model multi-optimizer training ( #6317 )
2019-12-15 15:19:45 -08:00
ad4da17899
[Tune] Add example and tutorial for DCGAN ( #6400 )
2019-12-13 14:15:44 -08:00
be5dd8eb5e
Enable direct calls by default ( #6367 )
...
* wip
* add
* timeout fix
* const ref
* comments
* fix
* fix
* Move actor state into actor handle
* comments 2
* enable by default
* temp reorder
* some fixes
* add debug code
* tmp
* fix
* wip
* remove dbg
* fix compile
* fix
* fix check
* remove non direct tests
* Increment ref count before resolving value
* rename
* fix another bug
* tmp
* tmp
* Fix object pinning
* build change
* lint
* ActorManager
* tmp
* ActorManager
* fix test component failures
* Remove old code
* Remove unused
* fix
* fix
* fix resources
* fix advanced
* eric's diff
* blacklist
* blacklist
* cleanup
* annotate
* disable tests for now
* remove
* fix
* fix
* clean up verbosity
* fix test
* fix concurrency test
* Update .travis.yml
* Update .travis.yml
* Update .travis.yml
* split up analysis suite
* split up trial runner suite
* fix detached direct actors
* fix
* split up advanced tesT
* lint
* fix core worker test hang
* fix bad check fail which breaks test_cluster.py in tune
* fix some minor diffs in test_cluster
* less workers
* make less stressful
* split up test
* retry flaky tests
* remove old test flags
* fixes
* lint
* Update worker_pool.cc
* fix race
* fix
* fix bugs in node failure handling
* fix race condition
* fix bugs in node failure handling
* fix race condition
* nits
* fix test
* disable heartbeatS
* disable heartbeatS
* fix
* fix
* use worker id
* fix max fail
* debug exit
* fix merge, and apply [PATCH] fix concurrency test
* [patch] fix core worker test hang
* remove NotifyActorCreation, and return worker on completion of actor creation task
* remove actor diied callback
* Update core_worker.cc
* lint
* use task manager
* fix merge
* fix deadlock
* wip
* merge conflits
* fix
* better sysexit handling
* better sysexit handling
* better sysexit handling
* check id
* better debug
* task failed msg
* task failed msg
* retry failed tasks with delay
* retry failed tasks with delay
* clip deps
* fix
* fix core worker tests
* fix task manager test
* fix all tests
* cleanup
* set to 0 for direct tests
* dont check worker id for ownership rpc
* dont check worker id for ownership rpc
* debug messages
* add comment
* remove debug statements
* nit
* check worker id
* fix test
* owner
* fix tests
2019-12-13 13:58:04 -08:00
4e24c805ee
AlphaZero and Ranked reward implementation ( #6385 )
2019-12-07 12:08:40 -08:00
4c6739476b
[rllib] Raise an error if GPUs are enabled but not tf.test.is_gpu_available() ( #6365 )
2019-12-05 10:13:54 -08:00
e5863d7914
Force tune tests to run in direct call mode ( #6301 )
...
* force tune direct mode
* force tune
* fix
* Update run_multi_node_tests.sh
2019-11-27 19:58:33 -08:00
64a3a7239e
Set RAY_FORCE_DIRECT=1 for run_rllib_tests, test_basic ( #6171 )
2019-11-25 14:12:11 -08:00
8f6d73a93a
[sgd] Extend distributed pytorch functionality ( #5675 )
...
* 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
e94bebb1de
[tune] Fix Jenkins tests ( #6028 )
2019-11-01 16:42:04 -07:00
48ba484640
[tune] Test TF2.0, TF1.14, TF1.12 Tensorboard support ( #5931 )
2019-10-18 13:50:42 -07:00
d52a4983af
Update TF documentation ( #5918 )
2019-10-16 01:31:27 -07:00
9f23620412
[tune] tf2.0 mnist example ( #5898 )
...
* tfmnistexample
* tfmnist
* add_to_ci
* format
* exampledownlaod
* fix
2019-10-15 22:25:01 -07:00
1650f7b174
[tune] Remove TF MNIST example + add TrialRunner hook to execut… ( #5868 )
...
* remove test
* add trial runner
* remvoerestore
* Remove other mnist examples
* tunetest
* revert
* v1
* Revert "v1"
This reverts commit c8bddaf2db7a8270c43c02021cac0e75df15ed20.
* Revert "revert"
This reverts commit b58f56884a0c288d3a6f997d149ab4d496ddd7a3.
* errors
* format
2019-10-13 20:33:56 -07:00
04e997fe0d
Fix TF2 / rllib test ( #5846 )
2019-10-07 14:25:16 -07:00
b99cdf4e39
[tune] PBT + Memnn example ( #5723 )
...
* Add example file
* Move into train function
* Somewhat working example of MemNN, still has some failed trials
* Reorganize into a class
* Small fixes
* Iteration decrease and fix hyperparam_mutations
* Add example file
* Move into train function
* Somewhat working example of MemNN, still has some failed trials
* Reorganize into a class
* Small fixes
* Iteration decrease and fix hyperparam_mutations
* Some style edits
* Address PR changes without modifying learning rate
* Add configs and hyperparameter mutations
* Add tune test
* Modify import locations
* Some parameter changes for testing
* Update memnn example
* Add tensorboard support and address PR comment
* Final changes
* lint
* generator
2019-10-05 09:22:37 -07:00
443feb75f0
Fix test ( #5810 )
2019-09-30 19:39:53 -07:00
baf85c6665
[tune/sgd] Fix Jenkins ( #5765 )
2019-09-27 09:59:08 -07:00
10f21fa313
[docs] Convert Examples to Gallery ( #5414 )
2019-09-24 15:46:56 -07:00
e00071721a
[tune] tf2.0 testing and supporting callables ( #5738 )
2019-09-21 17:01:14 -07:00
1711e202a3
[training] Tensorflow interface for MultiNode SGD ( #5440 )
2019-09-03 15:35:42 -07:00
411f30c125
[docs] Second push of changes ( #5391 )
2019-08-28 17:54:15 -07:00
97ccd75952
[rllib] Enable object store memory limit by default ( #5534 )
2019-08-26 01:37:28 -07:00
b520f6141e
[rllib] Adds eager support with a generic TFEagerPolicy class ( #5436 )
2019-08-23 14:21:11 +08:00
cdc9227f1b
[tune] ASHA xgboost and lightgbm examples ( #5500 )
2019-08-22 10:37:59 -07:00
851c5b2dae
Add a script for benchmarking performance for Ray developers. ( #5472 )
2019-08-19 23:41:23 -07:00
d7b309223b
[tune] MLFlow Logger ( #5438 )
2019-08-14 15:58:18 -07:00
b7d0733362
[tune] Implement BOHB ( #5382 )
2019-08-13 12:32:07 -07:00
a1d2e17623
[rllib] Autoregressive action distributions ( #5304 )
2019-08-10 14:05:12 -07:00
de95117e96
[sgd] Tune interface for Pytorch MultiNode SGD ( #5350 )
2019-08-10 13:51:44 -07:00
18f1e904de
Bump 0.8.0.dev2 -> 0.8.0.dev3 ( #5409 )
2019-08-09 11:37:19 -07:00
592f313210
[rllib] Centralized critic / PPO example on TwoStepGame ( #5392 )
2019-08-08 14:03:28 -07:00
281829e712
MADDPG implementation in RLlib ( #5348 )
2019-08-06 16:22:06 -07:00
5d7afe8092
[rllib] Try moving RLlib to top level dir ( #5324 )
2019-08-05 23:25:49 -07:00
1eaa57c98f
[tune] Distributed example + walkthrough ( #5157 )
2019-08-02 09:17:20 -07:00
3bdd114282
[rllib] Better example rnn envs ( #5300 )
2019-07-28 14:07:18 -07:00
a62c5f40f6
[rllib] Document ModelV2 and clean up the models/ directory ( #5277 )
2019-07-27 02:08:16 -07:00
7e715520e5
[sgd] Example for Training ( #5292 )
2019-07-27 01:10:25 -07:00
f9043cc49a
[rllib] Remove experimental eager support
2019-07-21 12:27:17 -07:00
0af07bd493
Enable seeding actors for reproducible experiments ( #5197 )
...
* enable graph-level worker-specific seed
* lint checked
* revised according to eric's suggestions
* revised accordingly and added a test case
* formated
* Update test_reproducibility.py
* Update trainer.py
* Update rollout_worker.py
* Update run_rllib_tests.sh
* Update worker_set.py
2019-07-17 23:31:34 -07:00
b6509f46b0
Update wheels to 0.8.0dev2 ( #5186 )
2019-07-12 17:27:03 -07:00
0b540ab492
[tune] Test example checkpointing ( #4728 )
2019-07-10 01:58:26 -07:00
34d054ff19
[rllib] ModelV2 API ( #4926 )
2019-07-03 15:59:47 -07:00
b1827d5fbe
[tune] Update MNIST Example ( #4991 )
2019-06-25 22:50:15 -07:00
Eric Liang