* Drop stale actor table notifications
* build
* Add num_restarts to disconnect handler
* Unit test and increment num_restarts on ALIVE, not RESTARTING
* Wait for pid to exit
* Remove worker Wait() call due to SIGCHLD being ignored
* Port _pid_alive to Windows
* Show PID as well as TID in glog
* Update TensorFlow version for Python 3.8 on Windows
* Handle missing Pillow on Windows
* Work around dm-tree PermissionError on Windows
* Fix some lint errors on Windows with Python 3.8
* Simplify torch requirements
* Quiet git clean
* Handle finalizer issues
* Exit with the signal number
* Get rid of wget
* Fix some Windows compatibility issues with tests
Co-authored-by: Mehrdad <noreply@github.com>
* Python
* Consolidate state in the direct actor transport, set the caller starts at
* todo
* Remove unused
* Update and unit tests
* Doc
* Remove unused
* doc
* Remove debug
* Update src/ray/core_worker/transport/direct_actor_transport.h
Co-authored-by: Eric Liang <ekhliang@gmail.com>
* Update src/ray/core_worker/transport/direct_actor_transport.cc
Co-authored-by: Eric Liang <ekhliang@gmail.com>
* lint and fix build
* Update
* Fix build
* Fix tests
* Unit test for max_task_retries=0
* Fix java?
* Fix bad test
* Cross language fix
* fix java
Co-authored-by: Eric Liang <ekhliang@gmail.com>
* Remove all __future__ imports from RLlib.
* Remove (object) again from tf_run_builder.py::TFRunBuilder.
* Fix 2xLINT warnings.
* Fix broken appo_policy import (must be appo_tf_policy)
* Remove future imports from all other ray files (not just RLlib).
* Remove future imports from all other ray files (not just RLlib).
* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).
* Add two empty lines before Schedule class.
* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
* move more unit tests to bazel
* move to avoid conflict
* fix lint
* fix deps
* seprate
* fix failing tests
* show tests
* ignore mismatch
* try combining bazel runs
* build lint
* remove tests from install
* fix test utils
* better config
* split up
* exclusive
* fix verbosity
* fix tests class
* cleanup
* remove flaky
* fix metrics test
* Update .travis.yml
* no retry flaky
* split up actor
* split basic test
* split up trial runner test
* split stress
* fix basic test
* fix tests
* switch to pytest runner for main
* make microbench not fail
* move load code to py3
* test is no longer package
* bazel to end