* 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.
* Added helper class for getting tf variables from loss function
* Updated usage and documentation
* Removed try-catches
* Added futures
* Added documentation
* fixes and tests
* more tests
* install tensorflow in travis
* check available shared memory when starting object store
* exit with error if not enough shared memory available for object store
* Some comments and formatting.
* Improve formatting of error messages.
* Catch errors that occur when looking up function name from function ID.
* Push warning to user if worker spends to long waiting for proper import counter.
* Fixes.
* Add comment.
* Suppress Redis warnings and remove some global scheduler logging.
* Pass a counter into run_function_on_all_workers indicating how many workers have begun executing this function.
* Add function for driver to get address info from Redis.
* Use Redis address instead of Redis port.
* Configure Redis to run in unprotected mode.
* Add method for starting Ray processes on non-head node.
* Pass in correct node ip address to start_plasma_manager.
* Script for starting Ray processes.
* Handle the case where an object already exists in the store. Maybe this should also compare the object hashes.
* Have driver get info from Redis when start_ray_local=False.
* Fix.
* Script for killing ray processes.
* Catch some errors when the main_loop in a worker throws an exception.
* Allow redirecting stdout and stderr to /dev/null.
* Wrap start_ray.py in a shell script.
* More helpful error messages.
* Fixes.
* Wait for redis server to start up before configuring it.
* Allow seeding of deterministic object ID generation.
* Small change.
* Add RAY.CONNECT Redis command.
* Add RAY.GET_CLIENT_ADDRESS command.
* Build and clean Redis in common Makefile.
* Use custom Redis module in Ray and use custom CONNECT and GET_CLIENT_ADDRESS commands.
* Fixes.
* Remove mapping from redis client ID to ray db client ID.
* Fix.
* passing plasma ip:port association with photon through redis to global scheduler
* Fix test.
* sanity-checking aux_address inside db_connect_extended
* clang format
* fix photon tests
* clang format photon tests
* Consolidate wait implementations.
* Consolidate fetch implementations.
* Share callback between wait and fetch to address issue in which only one callback can be run for a given subscribe channel.
* Reactivate manager tests.
* Remove more code.
* Add some documentation.
* Fetch missing dependencies from local scheduler.
* Factor out global scheduler policy state.
* Use object_table_subscribe instead of object_table_lookup.
* Fix bug in which timer was being created twice for a single fetch request.
* Free old manager vector.
* Give more informative error message when we do not know how to serialize a class.
* Check that passing arguments to remote functions and getting them does not change their values.
* fix serialization bug
* fix tests for common module
* Formatting.
* Bug fix in init_pickle_module signature.
* Use pickle with HIGHEST_PROTOCOL.
* Initial scheduler commit
* global scheduler
* add global scheduler
* Implement global scheduler skeleton.
* Formatting.
* Allow local scheduler to be started without a connection to redis so that we can test it without a global scheduler.
* Fail if there are no local schedulers when the global scheduler receives a task.
* Initialize uninitialized value and formatting fix.
* Generalize local scheduler table to db client table.
* Remove code duplication in local scheduler and add flag for whether a task came from the global scheduler or not.
* Queue task specs in the local scheduler instead of tasks.
* Simple global scheduler tests, including valgrind.
* Factor out functions for starting processes.
* Fixes.
* Initial integration of webui with ray
* Re-organized calling of build-webui in setup.py
* Fixed Lint comments on js code
* Fixed more lint issues
* Fixed various issues
* Fixed directory in services.py
* Small changes.
* Changes to match lint
* Put infrastructure in place to compute task IDs and object IDs.
* Fix version number for common library.
* Compute task IDs and object IDs deterministically.
* Address Stephanie's comments.
* Update task documentation.
* Fix formatting.
* Add more tests and checks.
* Fix formatting.
* Enable DCHECKs and change CHECKs to DCHECKs.
* Fix bug in which worker import counters were treated incorrectly.
* Fix bug in which cached functions-to-run were double counted as exports. This also runs the functions-to-run on the driver only after ray.init is called.
* Only define reusable variables locally after ray.init has been called.
* Remove flaky reference counting tests. It's not clear that these tests make sense.
* Make numbuf pip install verbose.
* Export cached reusable variables before cached remote functions.
* Fix bug causing the worker to hang sometimes. This happens when the worker is trying to run a task, but it hasn't imported enough imports to run the task, so it continually acquires and releases a lock while checking if it has enough imports. However, for some reason, the import thread is waiting to acquire the same lock and never does so (or takes a very long time to do so). By dropping the lock before sleeping, this makes it easier for other threads to acquire the lock.
* Acquire locks using 'with' statements.
* Fix possible test failure.
* Try to start Redis multiple times with different random ports if the original attempt failed.
* Fix test in which we redefine a remote function.
* Basic functionality for LRU eviction.
* Test eviction.
* Factor out eviction policy.
* Move delete_object into eviction policy.
* Replace array of released objects with an LRU cache (hash table + doubly linked list).
* Finish rebase on master.
* Move actual object deletion away from eviction policy and into plasma store.
* Small fixes.
* Fixes.
* Make remove_object_from_lru_cache always remove the object.
* Minor formatting and comments.
* Pass in allowed memory as argument to Plasma store.
* Small fix.
* Small cleanups in worker.py.
* Remove dependencies on subprocess32, graphviz, protobuf, and ipython.
* Retry starting the plasma manager if the port is in use.
* Whitespace
* Move start_plasma_manager into plasma.py.
* Update worker code and services code to use plasma and the local scheduler.
* Cleanups.
* Fix bug in which threads were started before the worker mode was set. This caused remote functions to be defined on workers before the worker knew it was in WORKER_MODE.
* Fix bug in install-dependencies.sh.
* Lengthen timeout in failure_test.py.
* Cleanups.
* Cleanup services.start_ray_local.
* Clean up random name generation.
* Cleanups.
* Build Ray with setup.py.
* Building photon extensions with cmake.
* Fix formatting in photon_extension.c
* Pip install with sudo in Travis.
* Fix plasma __init__.py.
* Rename and remove some files.
* Properly reset reusable variables on the driver when remote functions are run locally on the driver.
* Cache functions to run on all workers that occur before ray.init is called.
