* remove the put in memory store
* put small objects directly in memory store
* cast data type
* fix another place that uses Put to spill to plasma store
* fix multiple tests related to memory limits
* partially fix test_metrics
* remove not functioning codes
* fix core_worker_test
* refactor put to plasma codes
* add a flag for the new feature
* add flag to more places
* do a warmup round for the plasma store
* lint
* lint again
* fix warmup store
* Update _raylet.pyx
Co-authored-by: Eric Liang <ekhliang@gmail.com>
* 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>
* 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