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Numba has a CUDA_LOW_OCCUPANCY_WARNINGS that raises a warning whenever a binary predicate is called with a small input size (ie for testing). I added NUMBA_CUDA_LOW_OCCUPANCY_WARNINGS=0 to my environment which reduced the number of test errors from 984 to 71.
Nothing in the binary predicates directly uses numba. My only guess is that cudf functionality is being used that produces that warning, but haven't come up with a way of tracking down exactly what is emitting the warnings yet.
Version
23.08
On which installation method(s) does this occur?
Docker, Conda, Source, Rapids-Compose
Describe the issue
pytest
unit test are throwing quite a few warnings during execution. They need to be triaged and eliminated where possible.Minimum reproducible example
No response
Relevant log output
No response
Environment details
No response
Other/Misc.
No response
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