* Use F.softmax instead of a pointless network layer
Stateless functions should not be network layers.
* Use correct pytorch functions
* Rename argument name to out_size
Matches in_size and makes more sense.
* Fix shapes of tensors
Advantages and rewards both should be scalars, and therefore a list of them
should be 1D.
* Fmt
* replace deprecated function
* rm unnecessary Variable wrapper
* rm all use of torch Variables
Torch does this for us now.
* Ensure that values are flat list
* Fix shape error in conv nets
* fmt
* Fix shape errors
Reshaping the action before stepping in the env fixes a few errors.
* Add TODO
* Use correct filter size
Works when `self.config['model']['channel_major'] = True`.
* Add missing channel major
* Revert reshape of action
This should be handled by the agent or at least in a cleaner way that doesn't
break existing envs.
* Squeeze action
* Squeeze actions along first dimension
This should deal with some cases such as cartpole where actions are scalars
while leaving alone cases where actions are arrays (some robotics tasks).
* try adding pytorch tests
* typo
* fixup docker messages
* Fix A3C for some envs
Pendulum doesn't work since it's an edge case (expects singleton arrays, which
`.squeeze()` collapses to scalars).
* fmt
* nit flake
* small lint
* Implement global state API for xray.
* Fix object table.
* Fixes for log structure.
* Implement cluster_resources.
* Add driver task to task table.
* Remove python flatbuffers code
* Get some global state API tests running.
* Python linting.
* Fix linting.
* Fix mock modules for doc
* Copy over flatbuffer bindings.
* Fix for tests.
* Linting
* Fix monitor crash.
* Add flake8 to Travis
* Add flake8-comprehensions
[flake8 plugin](https://github.com/adamchainz/flake8-comprehensions) that
checks for useless constructions.
* Use generators instead of lists where appropriate
A lot of the builtins can take in generators instead of lists.
This commit applies `flake8-comprehensions` to find them.
* Fix lint error
* Fix some string formatting
The rest can be fixed in another PR
* Fix compound literals syntax
This should probably be merged after #1963.
* dict() -> {}
* Use dict literal syntax
dict(...) -> {...}
* Rewrite nested dicts
* Fix hanging indent
* Add missing import
* Add missing quote
* fmt
* Add missing whitespace
* rm duplicate pip install
This is already installed in another file.
* Fix indent
* move `merge_dicts` into utils
* Bring up to date with `master`
* Add automatic syntax upgrade
* rm pyupgrade
In case users want to still use it on their own, the upgrade-syn.sh script was
left in the `.travis` dir.
* Use pep8 style
The original style file is actually just pep8 style, but with everything
spelled out. It's easier to use the `based_on_style` feature. Any overrides are
clearer that way.
* Improve yapf script
1. Do formatting in parallel
2. Lint RLlib
3. Use .style.yapf file
* Pull out expressions into variables
* Don't format rllib
* Don't allow splits in dicts
* Apply yapf
* Disallow single line if-statements
* Use arithmetic comparison
* Simplify checking for changed files
* Pull out expr into var
* Run xray tests in travis.
* Comment out TaskTests.testSubmittingManyTasks.
* Comment out failing tests.
* Comment out hanging test.
* Linting
* Comment out failing test.
* Comment out failing test.
* Ignore test_dataframe.py for now.
* Comment out testDriverExitingQuickly.
* Make ActorHandles pickleable, also make proper ActorHandle and ActorClass classes.
* Fix bug.
* Fix actor test bug.
* Update __ray_terminate__ usage.
* Fix most linting, add documentation, and small cleanups.
* Handle forking and pickling differently for actor handles. Fix linting.
* Fixes for named actors via pickling.
* Generate actor handle IDs deterministically in the pickling case.
* Use set/dict literal syntax
Ran code through [pyupgrade](https://github.com/asottile/pyupgrade). This is
supported in every Python version 2.7+.
* Drop unnecessary string format specification
No need to specify 0,1.. if paramters are passed in order.
* Revert "Drop unnecessary string format specification"
This reverts commit efa5ec85d30ff69f34e5ed93e31343fea7647bcb.
* Undo changes to cloudpickle
Drop use of set literal until cloudpickle uses it.
* Reformat code with YAPF
We need to set up a git pre-push hook to automatically run this stuff.
* Integrate worker with raylet.
* Begin allowing worker to attach to cluster.
* Fix linting and documentation.
* Fix linting.
* Comment tests back in.
* Fix type of worker command.
* Remove xray python files and tests.
* Fix from rebase.
* Add test.
* Copy over raylet executable.
* Small cleanup.
* Print error when actor takes too long to start, and refactor error message pushing.
* Print warning every ten seconds.
* Fix linting and tests.
* Fix tests.
* Provide experimental API for changing number of return values and resource requirements at task submission time.
* Remove code duplication and add tests.
* Treat actor creation like a regular task.
* Small cleanups.
* Change semantics of actor resource handling.
* Bug fix.
* Minor linting
* Bug fix
* Fix jenkins test.
* Fix actor tests
* Some cleanups
* Bug fix
* Fix bug.
* Remove cached actor tasks when a driver is removed.
* Add more info to taskspec in global state API.
* Fix cyclic import bug in tune.
* Fix
* Fix linting.
* Fix linting.
* Don't schedule any tasks (especially actor creaiton tasks) on local schedulers with 0 CPUs.
* Bug fix.
* Add test for 0 CPU case
* Fix linting
* Address comments.
* Fix typos and add comment.
* Add assertion and fix test.
* Fri Feb 16 13:53:50 PST 2018
* Sat Feb 17 15:32:08 PST 2018
* Sat Feb 17 15:44:59 PST 2018
* fix
* Sun Feb 18 14:46:24 PST 2018
* Sun Feb 18 14:46:37 PST 2018
* Sun Feb 18 14:55:52 PST 2018
* Sun Feb 18 15:14:32 PST 2018
* Wed Feb 21 17:34:17 PST 2018
* Sun Feb 25 17:51:17 PST 2018
* Sun Feb 25 22:18:40 PST 2018
* Wed Feb 28 13:19:05 PST 2018
* Wed Feb 28 13:22:13 PST 2018
* Wed Feb 28 13:33:29 PST 2018
* Wed Feb 28 13:35:33 PST 2018
* add ex
* Fri Mar 2 12:50:17 PST 2018
* Fri Mar 2 12:54:31 PST 2018
* Allow passing in --object-store-memory to ray start.
* Allow setting ports for the redis shards.
* Reorder arguments and infer number of shards from ports.
* Move code block into only the head node case.
* Add test.
* spillback policy implementation: global + local scheduler
* modernize global scheduler policy state; factor out random number engine and generator
* Minimal version.
* Fix test.
* Make load balancing test less strenuous.
