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ray/release/long_running_tests/app_config.yaml

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[Release] Use nightly Docker images (#20001) * use nightly * switch ml cpu to ray cpu * fix * add pytest * add more pytest * add constraint * add tensorflow * fix merge conflict * add tblib * fix * add back uninstall
2021-11-10 18:00:16 -08:00
base_image: "anyscale/ray:nightly-py37"
[release tests] Fix microbenchmark base image, network overhead cluster wait time, add long running tests (#16355)
2021-06-16 21:37:17 +01:00
env_vars: {}
[hotfix] Fix stress_test_many_tasks cluster environment (#20519) This should fix the long running release tests that are failing to build their app configs. It seems like pip install ray[all] now downgrades the ray version. It's unclear why, but most likely, a dependency has pinned the ray version now. This PR explicitely install the version of Ray that we want after the pip install ray[all] to fix the problem.
2021-11-18 11:51:46 -08:00
[release tests] Fix microbenchmark base image, network overhead cluster wait time, add long running tests (#16355)
2021-06-16 21:37:17 +01:00
debian_packages:
- curl
[Serve] Add serve test config files and wrk dependency (#16631)
2021-06-28 10:01:55 -07:00
- unzip
[release tests] Fix microbenchmark base image, network overhead cluster wait time, add long running tests (#16355)
2021-06-16 21:37:17 +01:00
python:
pip_packages:
[Release] Use nightly Docker images (#20001) * use nightly * switch ml cpu to ray cpu * fix * add pytest * add more pytest * add constraint * add tensorflow * fix merge conflict * add tblib * fix * add back uninstall
2021-11-10 18:00:16 -08:00
- gym[atari]
- pytest
- tensorflow
[release tests] Fix microbenchmark base image, network overhead cluster wait time, add long running tests (#16355)
2021-06-16 21:37:17 +01:00
conda_packages: []
post_build_cmds:
[Release] change default expiration to 2 days in order to prevent custodian kill it early morning (#17215) Co-authored-by: Jiao Dong <jiaodong@anyscale.com>
2021-07-20 17:03:14 -07:00
- 'rm -r wrk || true && git clone https://github.com/wg/wrk.git /tmp/wrk && cd /tmp/wrk && make -j && sudo cp wrk /usr/local/bin'
[nightly] Fix pytest missing in nightly test (#20076) ## Why are these changes needed? In the nightly test we see ``` Command returned non-success status: 1; Command logs:Traceback (most recent call last): File "dask_on_ray/large_scale_test.py", line 17, in from ray._private.test_utils import monitor_memory_usage File "/home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/test_utils.py", line 18, in import pytest ModuleNotFoundError: No module named 'pytest' ``` This PR fixes this error. ## Related issue number
2021-11-04 13:38:05 -07:00
- pip3 install pytest || true
[RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535) * 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>
2021-11-03 08:24:00 -07:00
- pip3 install -U ray[all] gym[atari] autorom[accept-rom-license]
[Release] Use nightly Docker images (#20001) * use nightly * switch ml cpu to ray cpu * fix * add pytest * add more pytest * add constraint * add tensorflow * fix merge conflict * add tblib * fix * add back uninstall
2021-11-10 18:00:16 -08:00
- pip3 install ray[all]
[hotfix] Fix stress_test_many_tasks cluster environment (#20519) This should fix the long running release tests that are failing to build their app configs. It seems like pip install ray[all] now downgrades the ray version. It's unclear why, but most likely, a dependency has pinned the ray version now. This PR explicitely install the version of Ray that we want after the pip install ray[all] to fix the problem.
2021-11-18 11:51:46 -08:00
# TODO (Alex): Ideally we would install all the dependencies from the new
# version too, but pip won't be able to find the new version of ray-cpp.
[CI] [Release] uninstall Ray before installing new Ray version (#21159)
2021-12-17 16:25:15 -08:00
- pip3 uninstall ray -y && pip3 install -U {{ env["RAY_WHEELS"] | default("ray") }}
[ci/release] Add sanity check for ray wheels hash to release tests (#18489)
2021-09-10 17:50:31 +01:00
- {{ env["RAY_WHEELS_SANITY_CHECK"] | default("echo No Ray wheels sanity check") }}
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