* 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.
* 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
* Remove start_ray_local from ray.init and change default number of workers to 10.
* Remove alexnet example.
* Move array methods to experimental.
* Remove TRPO example.
* Remove old files.
* Compile plasma when we build numbuf.
* Address comments.
* Updated code to mesh with get_weights returning a dict and new tf code
* Added tf.global_variables_initalizer to hyperopt example as well
* Small fix.
* Small name change.
* Update documentation for serialization.
* Update documentation for reusable variables.
* Update documentation for using Ray with TensorFlow. This change is to allow code blocks to be copied and pasted into a Python interpreter.
* Fix documentation for hyperparameter optimization example.
* Cleanup setting and getting of tensorflow weights.
* Add documentation for using TensorFlow.
* Group get_weights and set_weights in a function.
* Update readme.
* Re-implemented select, changed name to wait
* Changed tests for select to tests for wait
* Updated the hyperopt example to match wait
* Small fixes and improve example readme.
* Make tests pass.
