* Separate out file_mounts contents hashing into its own separate hash
Add an option to continuously sync file_mounts from head node to worker nodes:
monitor.py will re-sync file mounts whenver contents change but will only run setup_commands if the config also changes
* add test and default value for file_mounts_sync_continuously
* format code
* Update comments
* Add param to skip setup commands when only file_mounts content changed during monitor.py's update tick
Fixed so setup commands run when ray up is run and file_mounts content changes
* Refactor so that runtime_hash retains previous behavior
runtime_hash is almost identical as before this PR. It is used to determine if setup_commands need to run
file_mounts_contents_hash is an additional hash of the file_mounts content that is used to detect when only file syncing has to occur.
Note: runtime_hash value will have changed from before the PR because we hash the hash of the contents of the file_mounts as a performance optimization
* fix issue with hashing a hash
* fix bug where trying to set contents hash when it wasn't generated
* Fix lint error
Fix bug in command_runner where check_output was no longer returning the output of the command
* clear out provider between tests to get rid of flakyness
* reduce chance of race condition from node_launcher launching a node in the middle of an autoscaler.update call
* 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
