* Added agent name & env id to default logdir prefix
* Revert "Added agent name & env id to default logdir prefix"
This reverts commit 07cfdf80d2537da3c67dd4f553c5f3e43671cc7d.
* Added default logger creator with informative prefix to Agent
* Updated import order & improved str cat
* Update agent.py
Fixes issue where object manager sometimes crashes within the `Wait` method: The issue stems from inconsistent behavior of the boost deadline timer's `cancel` method, which is invoked within `WaitComplete` to enforce exactly one `WaitComplete` invocation for each `Wait` request. The `cancel` method sometimes fails to actually prevent the timer's invocation of the provided handler with non-zero error code.
This PR makes it so debugging logs are only evaluated during debugging. We found that for the current code, functions called in debug logging code are evaluated even in release mode (even though nothing is printed).
* Trigger reconstruction in ray.wait and mark worker as blocked.
* Add test.
* Linting.
* Don't run new test with legacy Ray.
* Only call HandleClientUnblocked if it actually blocked in ray.wait.
* Reduce time to ray.wait in the test.
* use cmake to build ray project, no need to appply build.sh before cmake, fix some abuse of cmake, improve the build performance
* support boost external project, avoid using the system or build.sh boost
* keep compatible with build.sh, remove boost and arrow build from it.
* bugfix: parquet bison version control, plasma_java lib install problem
* bugfix: cmake, do not compile plasma java client if no need
* bugfix: component failures test timeout machenism has problem for plasma manager failed case
* bugfix: arrow use lib64 in centos, travis check-git-clang-format-output.sh does not support other branches except master
* revert some fix
* set arrow python executable, fix format error in component_failures_test.py
* make clean arrow python build directory
* update cmake code style, back to support cmake minimum version 3.4
A fix to an example for tune (`python/ray/tune/examples/pbt_tune_cifar10_with_keras.py`) where the hyperparameters for the optimizer, learning rate and decay, were not being passed into the optimizer.
This means that the current optimizer uses default values for the hyperparameters no matter the config.
Add new search algorithm (genetic) along with the base framework of the searcher (which performs some basic jobs such as logging, recording and organizing in our project).
Note that this is the initial commit. In the following days, we will add example, UT, and other refinements.
When running in a screen (or any other time it is hard to scroll up), printing "Suppressing previous error message" is not helpful since the previous error is lost far above past scrollback. Better to just print it repeatedly at the end.
tada 1
Adds the ability for trainables to reset their configurations during experiments. These changes in particular add the base functions to the trial_executor and trainable interfaces as well as giving the basic implementation on the PopulationBasedTraining scheduler.
Related issue number: #2741
* removed cv2
* remove opencv
* increased number of default rollouts ARS
* put cv2 back in this branch
* put cv2 back in this branch
* moved cv2 back where it belongs in preprocessors
This change addresses issue #2809. Test #2797 has been enabled for raylet and can pass.
The following should happen when a driver exits (either gracefully or ungracefully).
#2797 should be enabled and pass.
Any actors created by the driver that are still running should be killed.
Any workers running tasks for the driver should be killed.
Any tasks for the driver in any node_manager queues should be removed.
Any future tasks received by a node manager for the driver should be ignored.
The driver death notification should only be received once.
Before this change, the autoscaler `up` and related commands don't print any info messages to the console at all. This was a regression from 0.5. @richardliaw @robertnishihara https://github.com/ray-project/ray/issues/2812
It's possible to configure PPO in a way that ends up discarding most of the samples (they are treated as "stragglers"). Add a warning when this happens, and raise an exception if the waste is particularly egregious.
This makes sure we always update the local filter, and adds an option to synchronize the remote filters as well. In APEX_DDPG we previously didn't do either. The first is needed for checkpoint correctness, the second might help performance.
Previously `Ray.createActor` only support creating an actor without any parameter. This PR adds the support for creating an actor with parameters. Moreover, besides using a constructor, it's now also allowed to create an actor with a factory method. For more usage, prefer refer to `ActorTest.java`.
API module (`ray/java/api` dir) includes all public APIs provided by Ray, it should be the only module that normal Ray users need to face.
The purpose of this PR to first improve the code quality of the API module. Subsequent PRs will improve other modules later. The changes of this PR include the following aspects:
1) Only keep interfaces in api module, to hide implementation details from users and fix circular dependencies among modules.
2) Document everything in the api module.
3) Improve naming.
4) Add more tests for API.
5) Also fix/improve related code in other modules.
6) Remove some unused code.
(Apologize for posting such a large PR. Java worker code has been lack of maintenance for a while. There're a lot of code quality issues that need to be fixed. We plan to use a couple of large PRs to address them. After that, future changes will come in small PRs.)
