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rapidsai / cuml

cuML - RAPIDS Machine Learning Library
https://docs.rapids.ai/api/cuml/stable/
Apache License 2.0
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[FEA] Pool allocator tests #2391

Open cjnolet opened 4 years ago

cjnolet commented 4 years ago

When running the cuml benchmarks notebook with the pool allocator for release 0.14 benchmarks, we found a bug in an estimator that wouldn’t have been found otherwise.

It would be useful if we ran our tests with the pool allocator just to make sure other estimators may not have similar bugs.

This could be as simple as perhaps keeping the default RMM allocator but providing a simple pytest mark / option to use a different allocator.

github-actions[bot] commented 3 years ago

This issue has been marked rotten due to no recent activity in the past 90d. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

github-actions[bot] commented 3 years ago

This issue has been marked stale due to no recent activity in the past 30d. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be marked rotten if there is no activity in the next 60d.