This PR
- adds an example on how to run Ray Train and log results to weights & biases
- adds functionality to the W&B plugin to store checkpoints
- fixes a bug introduced in #24017
- Adds a CI utility script to setup credentials
- Adds a CI utility script to remove test state from external services cc @simon-mo
This PR implements ray list tasks and ray list objects APIs.
NOTE: You can ignore the merge conflict for now. It is because the first PR was reverted. There's a fix PR open now.
In https://github.com/ray-project/ray/blob/ray-1.11.0/docker/ray-ml/Dockerfile, the order of pip install commands currently matters (potentially a lot). It would be good to run one big pip install command to avoid ending up with a broken env.
Co-authored-by: Kai Fricke <krfricke@users.noreply.github.com>
We're introducing the usage of [MyST Notebooks](https://myst-nb.readthedocs.io/en/latest/index.html) here and demonstrate how it works by rewriting (and extending) the RLLib Serve tutorial. Benefits:
- [x] Write notebooks in markdown. Can be converted into other formats e.g. with `jupytext`
- [x] Tutorials like this have a binderhub link added to the top nav (launch button).
- [x] Notebooks get executed when docs are built, so it's impossible to have stale docs.
- [x] But locally those builds are cached so that you don't have to wait too long.
- [x] The notebook cell outputs can be shown, hidden or removed. In particular, we can now avoid adding expected code output as comments in our scripts (which might get outdated).
We're also clarifying #22022.
Old tutorial: [here](https://docs.ray.io/en/latest/serve/tutorials/rllib.html)
New tutorial (preview): [here](https://ray--22030.org.readthedocs.build/en/22030/serve/tutorials/rllib.html)
Co-authored-by: simon-mo <simon.mo@hey.com>
* updating azure autoscaler versions and backwards compatibility, and moving to azure-identity based authentication
* adding azure sdk rqmts for tests
* updating azure test requirements and adding wrapper function for azure sdk function resolution
* adding docstring to get_azure_sdk_function
Co-authored-by: Scott Graham <scgraham@microsoft.com>
As described in #18884, reconfiguration will mutate state mid-query. I try to solve this problem by adding read/write lock to each replica.
Co-authored-by: yuzihao.2001 <yuzihao.2001@bytedance.com>
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## Why are these changes needed?
This pin is needed to fix `test_output` on master, which broke when 4.0.0 was released.
It may also fix the windows build (unsure).
## Related issue number
<!-- For example: "Closes #1234" -->
## Checks
- [ ] I've run `scripts/format.sh` to lint the changes in this PR.
- [ ] I've included any doc changes needed for https://docs.ray.io/en/master/.
- [ ] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
- Testing Strategy
- [ ] Unit tests
- [ ] Release tests
- [ ] This PR is not tested :(
* Fix QMix, SAC, and MADDPA too.
* Unpin gym and deprecate pendulum v0
Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1
Lastly, all of the RLlib tests and have
been moved to python 3.7
* Add gym installation based on python version.
Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20
* Reformatting
* Fixing tests
* Move atari-py install conditional to req.txt
* migrate to new ale install method
* Fix QMix, SAC, and MADDPA too.
* Unpin gym and deprecate pendulum v0
Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1
Lastly, all of the RLlib tests and have
been moved to python 3.7
* Add gym installation based on python version.
Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20
Move atari-py install conditional to req.txt
migrate to new ale install method
Make parametric_actions_cartpole return float32 actions/obs
Adding type conversions if obs/actions don't match space
Add utils to make elements match gym space dtypes
Co-authored-by: Jun Gong <jungong@anyscale.com>
Co-authored-by: sven1977 <svenmika1977@gmail.com>
Gym appears to have cut a release, 0.21.
It isn't clear what changes were made
between 0.19/0.20 and 0.21, as there is
no change log available for the 0.21 release,
so for now we'll pin gym to 0.19 until we
can fully understand the breaking changes
in gym 0.21. I suspect some things have
just been removed from the regular gym installation
that rllib has previously relied on. Will address
later.
