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![]() * Create a core set of algorithms tests to run nightly. * Run release tests under tf, tf2, and torch frameworks. * Fix * Add eager_tracing option for tf2 framework. * make sure core tests can run in parallel. * cql * Report progress while running nightly/weekly tests. * Innclude SAC in nightly lineup. * Revert changes to learning_tests * rebrand to performance test. * update build_pipeline.py with new performance_tests name. * Record stats. * bug fix, need to populate experiments dict. * Alphabetize yaml files. * Allow specifying frameworks. And do not run tf2 by default. * remove some debugging code. * fix * Undo testing changes. * Do not run CQL regression for now. * LINT. Co-authored-by: sven1977 <svenmika1977@gmail.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 | ||
ml_user_tests | ||
nightly_tests | ||
release_logs | ||
rllib_tests | ||
runtime_env_tests | ||
serve_tests | ||
sgd_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