* Compile the Ray redis module with C++.
* Redo parsing of object table notifications with flatbuffers.
* Update redis module python tests.
* Redo parsing of task table notifications with flatbuffers.
* Fix linting.
* Redo parsing of db client notifications with flatbuffers.
* Redo publishing of local scheduler heartbeats with flatbuffers.
* Fix linting.
* Remove usage of fixed-width formatting of scheduling state in channel name.
* Reply with flatbuffer object to task table queries, also simplify redis string to flatbuffer string conversion.
* Fix linting and tests.
* fix
* cleanup
* simplify logic in ReplyWithTask
* Initial conversion
* Further changes
* fixes
* some changes
* Fixes
* Added data pipeline
* Added updates to cifar
* Currently borken need sep pr
* Added test for retriving variables from an optimizer
* Removed FlAG ref in environment variables
* Added comments to test
* Addressed comments
* Added updates
* Made further changes for tfutils
* Fixed finalized bug
* Removed ipython
* Added accuracy printing
* Temp commit
* added fixes
* changes
* Added writing to file
* Fixes for gpus
* Cleaned up code
* Temp commit
* Gpu support fully implemented
* Updated to use num_gpus for actors
* Finished testing gpus implementation
* Changed to be more in line with origin implementation
* Updated test to use actors
* Added support for cpu only systems
* Now works with no cpus
* Minor changes and some documentation.
* WARN instead of FATAL for object hash mismatches, push error to driver
* Document the callback signature for object_table_add/remove
* Error table
* Wait for all errors in python test
* Fix doc
* Fix state test
* Change tranfer queue to doubly-linked list to speed up append.
* Maintain set of pending transfers to make deduplication easy.
* Fix naming convention for structs in plasma manager.
* Clean up plasma subscribers on EPIPE
First pass at a monitoring script - monitor can detect local scheduler death
Clean up task table upon local scheduler death in monitoring script
Don't schedule to dead local schedulers in global scheduler
Have global scheduler update the db clients table, monitor script cleans up state
Documentation
Monitor script should scan tables before beginning to read from subscription channel
Fix for python3
Redirect monitor output to redis logs, fix hanging in multinode tests
* Publish auxiliary addresses as part of db_client deletion notifications
* Fix test case?
* Small changes.
* Use SCAN instead of KEYS
* Address comments
* Address more comments
* Free redis module strings
* adding flatbuffers and migrating flatcc to flatbuffers for plasma
* variable name changes in plasma_protocol and plasma flatbuffers schema
* quick fix
* cleanups and remove flatcc
* more cleanup
* add doc
* linting
* fix linting
* fix mac os x build
* linting
* cleanup
* c++ fix for plasma flatbuffers
* Remove flatcc from CMakeLists.txt.
* linting; trigger travis
* Availability after a killed worker
* Workers exit cleanly
* Memory cleanup in photon C tests
* Worker failure in multinode
* Consolidate worker cleanup handlers
* Update the result table before handling a task submission
* KILL_WORKER_TIMEOUT -> KILL_WORKER_TIMEOUT_MILLISECONDS
* Log a warning instead of crashing if no result table entry found
* Make global scheduler periodically resubmit tasks that can't be scheduled because their resource requirements are not met.
* Address comments and fix bug.
* Rename impossible_tasks -> pending_tasks.
* Fix formatting.
* Add num_cpus and num_gpus to actor decorator.
* Assign GPU IDs to actors.
* Add additional actor test.
* Remove duplicated line.
* Factor out local scheduler selection method.
* Add test and simplify local scheduler selection.
* First pass at a policy to solve deadlock
* Address Robert's comments
* stress test
* unit test
* Fix test cases
* Fix test for python3
* add more logging
* White space.
* arrow limits
* more logging
* set the right limit
* update
* simplify
* fix
* account for subsequences
* fixes and deactivate arrow limit tests in travis
* fixes
* Minor formatting.
* Add a couple more tests.
* Remove import counter and export counter.
* Provide isolation between drivers for remote functions.
* Add test for driver function isolation.
* Hash source code into function ID to reduce likelihood of collisions.
* Fix failure test example.
* Replace assertTrue with assertIn to improve failure messages in tests.
* Fix failure test.
* Implement actor field for tasks
* Implement actor management in local scheduler.
* initial python frontend for actors
* import actors on worker
* IPython code completion and tests
* prepare creating actors through local schedulers
* add actor id to PyTask
* submit actor calls to local scheduler
* starting to integrate
* simple fix
* Fixes from rebasing.
* more work on python actors
* Improve local scheduler actor handlers.
* Pass actor ID to local scheduler when connecting a client.
* first working version of actors
* fixing actors
* fix creating two copies of the same actor
* fix actors
* remove sleep
* get rid of export synchronization
* update
* insert actor methods into the queue in the right order
* remove print statements
* make it compile again after rebase
* Minor updates.
* fix python actor ids
* Pass actor_id to start_worker.
* add test
* Minor changes.
* Update actor tests.
* Temporary plan for import counter.
* Temporarily fix import counters.
* Fix some tests.
* Fixes.
* Make actor creation non-blocking.
* Fix test?
* Fix actors on Python 2.
* fix rare case.
* Fix python 2 test.
* More tests.
* Small fixes.
* Linting.
* Revert tensorflow version to 0.12.0 temporarily.
* Small fix.
* Enhance inheritance test.
* Attempt to start web UI when starting Ray.
* Add instructions for using web UI to cluster documentation.
* Don't check if port 8080 is open.
* Remove print statement.
