* 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.
* attribute-based heterogeneity-awareness in global scheduler and photon
* minor post-rebase fix
* photon: enforce dynamic capacity constraint on task dispatch
* globalsched: cap the number of times we try to schedule a task in round robin
* propagating ability to specify resource capacity to ray.init
* adding resources to remote function export and fetch/register
* globalsched: remove unused functions; update cached photon resource capacity (until next photon heartbeat)
* Add some integration tests.
* globalsched: cleanup + factor out constraint checking
* lots of style
* task_spec_required_resource: global refactor
* clang format
* clang format + comment update in photon
* clang format photon comment
* valgrind
* reduce verbosity for Travis
* Add test for scheduler load balancing.
* addressing comments
* refactoring global scheduler algorithm
* Minor cleanups.
* Linting.
* Fix array_test.py and linting.
* valgrind fix for photon tests
* Attempt to fix stress tests.
* fix hashmap free
* fix hashmap free comment
* memset photon resource vectors to 0 in case they get used before the first heartbeat
* More whitespace changes.
* Undo whitespace error I introduced.
* First pass at reconstruction in the worker
Modify reconstruction stress testing to start Plasma service before rest of Ray cluster
TODO about reconstructing ray.puts
Fix ray.put error for double creates
Distinguish between empty entry and no entry in object table
Fix test case
Fix Python test
Fix tests
* Only call reconstruct on objects we have not yet received
* Address review comments
* Fix reconstruction for Python3
* remove unused code
* Address Robert's comments, stress tests are crashing
* Test and update the task's scheduling state to suppress duplicate
reconstruction requests.
* Split result table into two lookups, one for task ID and the other as a
test-and-set for the task state
* Fix object table tests
* Fix redis module result_table_lookup test case
* Multinode reconstruction tests
* Fix python3 test case
* rename
* Use new start_redis
* Remove unused code
* lint
* indent
* Address Robert's comments
* Use start_redis from ray.services in state table tests
* Remove unnecessary memset
* global scheduler with object transfer cost awareness -- upstream rebase
* debugging global scheduler: multiple subscriptions
* global scheduler: utarray push bug fix; tasks change state to SCHEDULED
* change global scheduler test to be an integraton test
* unit and integration tests are passing for global scheduler
* improve global scheduler test: break up into several
* global scheduler checkpoint: fix photon object id bug in test
* test with timesync between object and task notifications; TODO: handle OoO object+task notifications in GS
* fallback to base policy if no object dependencies are cached (may happen due to OoO object+task notification arrivals
* clean up printfs; handle a missing LS in LS cache
* Minor changes to Python test and factor out some common code.
* refactoring handle task waiting
* addressing comments
* log_info -> log_debug
* Change object ID printing.
* PRId64 merge
* Python 3 fix.
* PRId64.
* Python 3 fix.
* resurrect differentiation between no args and missing object info; spacing
* Valgrind fix.
* Run all global scheduler tests in valgrind.
* clang format
* Comments and documentation changes.
* Minor cleanups.
* fix whitespace
* Fix.
* Documentation fix.
* 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.
* Add Python and Redis submodules, and remove old third-party modules
* Update VS projects (WARNING: references files that do not exist yet)
* Update code & add shims for APIs except AF_UNIX/{send,recv}msg()
* Minor style changes.
* Use sizeof(field) instead of sizeof(type) and other fixes.
* Fix formatting.
* Bug fix.
* Zero-initialize structs. There are many more instances of these that I haven't changed yet.
* Bug fix.
* Revert from atexit to signaling to fix valgrind tests.
* Address Philipp's comments.
* Merge task table and task log
* Fix test in db tests
* Address Robert's comments and some better error checking
* Add a LOG_FATAL that exits the program
* 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.
