* 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.
* 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
* 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.
* 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.
* Added example for compute grads in ray
* Added formatting
* Removed need for placeholders in apply gradient
* Streamlined examples
* Fixed docs
* Added formatting
* Removed old references
* Simplified code some
* Addressed comments
* Changes to first code block
* Added test for training and updated code snippets
* Formatting
* Removed mean
* Removed all mention of mean
* Added comments
* Added comments
* Added test for retriving variables from an optimizer
* Added comments to test
* Addressed comments
* Fixed travis bug
* Added fix to circular controls
* Added set for explored operations and duplicate prefix stripping
* Removed embeded ipython
* Removed prefix, use seperate graph for each network
* Removed redundant imports
* Addressed comments and added separate graph to initializer
* fix typos
* get rid of prefix in documentation
