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https://github.com/vale981/ray
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* Add an RLlib Tune experiment to UserTest suite. * Add ray.init() * Move example script to example/tune/, so it can be imported as module. * add __init__.py so our new module will get included in python wheel. * Add block device to RLlib test instances. * Reduce disk size a little bit. * Add metrics reporting * Allow max of 5 workers to accomodate all the worker tasks. * revert disk size change. * Minor updates * Trigger build * set max num workers * Add a compute cfg for autoscaled cpu and gpu nodes. * use 1gpu instance. * install tblib for debugging worker crashes. * Manually upgrade to pytorch 1.9.0 * -y * torch=1.9.0 * install torch on driver * Add an RLlib Tune experiment to UserTest suite. * Add ray.init() * Move example script to example/tune/, so it can be imported as module. * add __init__.py so our new module will get included in python wheel. * Add block device to RLlib test instances. * Reduce disk size a little bit. * Add metrics reporting * Allow max of 5 workers to accomodate all the worker tasks. * revert disk size change. * Minor updates * Trigger build * set max num workers * Add a compute cfg for autoscaled cpu and gpu nodes. * use 1gpu instance. * install tblib for debugging worker crashes. * Manually upgrade to pytorch 1.9.0 * -y * torch=1.9.0 * install torch on driver * bump timeout * Write a more informational result dict. * Revert changes to compute config files that are not used. * add smoke test * update * reduce timeout * Reduce the # of env per worker to 1. * Small fix for getting trial_states * Trigger build * simply result dict * lint * more lint * fix smoke test Co-authored-by: Amog Kamsetty <amogkamsetty@yahoo.com> |
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| .. | ||
| .buildkite | ||
| alerts | ||
| golden_notebook_tests | ||
| horovod_tests | ||
| kubernetes_manual_tests | ||
| lightgbm_tests | ||
| long_running_distributed_tests | ||
| long_running_tests | ||
| microbenchmark | ||
| nightly_tests | ||
| ray_lightning_tests | ||
| release_logs | ||
| rllib_tests | ||
| runtime_env_tests | ||
| serve_tests | ||
| sgd_tests | ||
| train_tests | ||
| tune_tests | ||
| util | ||
| xgboost_tests | ||
| __init__.py | ||
| alert.py | ||
| config_generator.html | ||
| e2e.py | ||
| README.md | ||
| requirements.txt | ||
| test_owners.yaml | ||
Release Tests
While the exact release process relies on Anyscale internal tooling, the tests we run during the releases are located at https://github.com/ray-project/ray/blob/master/release/.buildkite/build_pipeline.py