* Dispatch regular and actor tasks when resources become available.
* Make actor methods do resource bookkeeping and add test.
* Remove unnecessary field.
* Fix linting.
* Fix actor test.
* Maintain set of actors with pending tasks to speed up task dispatch.
* Exit early from task dispatch if there are no resources available.
* Fix linting.
* Fix error.
* Fix bug related to iterator invalidation.
* When an actor is removed, remove it from the set of actors with pending tasks.
* Start up webui on ray.init
* Removed .ipynb checkpoint folders.
* Removed print statements in cleanup function.
* Fixed
* Removed extra file.
* Cleaned up ui.
* Don't start browser automatically in ray.init(), also copy the notebook every time so that changes don't persist.
* Update setup.py and installation instructions to install jupyter.
* Don't automatically install jupyter, don't start the UI if jupyter is not installed.
* Improve error message when failing to start UI.
* Replace a local scheduler ut_array with a std::vector.
* Replace vector of sizes in local scheduler with std::pair.
* Remove utarray include.
* Replace utarray with std::vector for reading local scheduler input messages.
* Remove more UT data structures.
* Remove UT includes.
* Fix linting.
* Include stdlib.h to find size_t.
* Remove includes of stdbool.h.
* Replace std::pair with TaskQueueEntry.
* Fix redis tests.
* Reinstate tests.
* configuration option for tensorflow debugger
* add model checkpointing
* fix linting
* make it possible to run without checkpointing
* fix
* loading from checkpoint and expose debugger through cli
* todo for filters
* Fix typo.
* Divide large get requests into smaller chunks.
* Divide fetches into smaller chunks.
* Wait longer in worker and manager before reissuing fetch requests if there are many outstanding fetch requests.
* Log warning if a handler in the local scheduler or plasma manager takes more than one second.
* added log_table function and a test
* fixed log_files and added task_profiles
* fixed formatting
* fixed linting errors
* fixes
* removed file
* more fixes
* hopefully fixed
* Small changes.
* Fix linting.
* Fix bug in log monitor.
* Small changes.
* Fix bug in travis.
* Including data_size and hash in the ResultTableReply.
* Included data_size and hash info in object_table.
* Fixed bugs in ray_redis_module.cc.
* Removing commented out code.
* Fixes
* Freed hash and data_size strings after using, and checked if they're null along with task_id and is_put.
* Changed it so that data_size is set correctly.
* Removed iostream import.
* Included a check to ensure that the Redis string to long long conversion was successful.
* Included separate data_size and hash null checks.
* Fixed bug.
* Made linting changes.
* Another linting error.
* Slight simplication.
* Log fatal error if plasma manager or local scheduler take too long to send heartbeat.
* Fix linting.
* Use int64_t for milliseconds since unix epoch.
* implement restarting workers after certain number of task executions
* Clean up python code.
* Don't start new worker when an actor disconnects.
* Move wait_for_pid_to_exit to test_utils.py.
* Add test.
* Fix linting errors.
* Fix linting.
* Fix typo.
* add tf metrics
* comments
* fix network scopes
* add doc
* initial work
* try with 3 virtual cpus
* clean up metrics
* use format string
* fix trace level
* back to pong
* always run summary on cpu
* plot intermediate and final sgd stats
* add back a global step
* update
* add timeline
* use staging area and reuse weights properly
* stage at cpu
* whoops, stage only the batch
* clean up a bit
* fix py flake
* wip
* create an optimizer graph per device
* print timeline on 5th batch instead
* print examples per second
* log placement for training ops
* force placement on cpu:0
* try separating weights onto different gpus
* try using nccl
* add cpu fallback
* remove space from date
* check has gpu device
* fix flag config
* checkpoint
* wip
* update
* add some timing
* trace loading
* try cpu
* revert that
* remove expensive test
* lint
* cleanups
* clean up timers
* clean it up a bit
* fix code for non-scalar action spaces
* address some nits
* fix quotes
* efficient shuffling between sgd epochs
* local scheduler
* redirect output files to be associated with workers rather than the local scheduler
* fixed formatting
* fixes
* Moved output redirection logic to worker.py.
* Changed write mode.
* Fixed formatting.
* Added comment.
* Reuse log file creation in services.py.
* Fix linting.
* Fix problem in which multiple processes attempt to create /tmp/raylogs at the same time.
* Added to troubleshooting documentation about whether redefining remote functions runs the new code version
* Minor correction to troubleshooting documentation
* Writing new documentation page for using Ray with GPUs
* Wrote new documentation page on using ray with gpus
* Add some more details.
* Added to troubleshooting documentation about whether redefining remote functions runs the new code version
* Minor correction to troubleshooting documentation
* Small rewordings.
* Rewrote and reordered the examples in the Actor documentation for clarity. Also added an introduction to Gym
* Minor tweaks to actor documentation
* Small changes to wording.
* Fix bug in which plasma client file descriptors were not closed.
* Add logging statement when disconnecting client from plasma store.
* Fix after rebasing.
* Add more checks to plasma disconnect client.
* Add script for building MacOS wheels.
* Small cleanups to script.
* Fix setting of PATH before building wheel.
* Create symbolic link to correct Python executable so Ray installation finds the right Python.
* Address comments.
* Rename readme.
* Add manylinux setup
* Switch to cp27mu
* python/MANIFEST.in
* Fix MANIFEST.in
* Add build-wheel-manylinux1.sh
* Update readme
* Install correct version of numpy
* Fix typo in README-manylinux1.md
* Don't install cmake
* Remove commented line from setup.py
* Delete unused manylinux1.sh
* Run setup.py bdist_wheel twice
* Don't use package_data and MANIFEST.in.
* Small aesthetic change.
* Trigger build_ext in setup.py.
* Remove nonexistent file from MANIFEST.in.
* Manually copy files in MANIFEST.in to where Python expects them in order to prevent setup.py from having to be run twice.
* Only run setup.py once when building wheels.
* Aesthetic change to readme.
* Copy generated flatbuffer Python files in build_ext.
* Fix permission denied error by making sure to preserve executableness when copying files.
* Remove unnecessary argument to setup.py.
* Remove MANIFEST.in and move files to include into list in setup.py.
* Fix numpy version when building wheels and replace rm with git clean.
