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m0nib avatar m0nib commented on July 29, 2024

Hi, I had the same issue when using the default hlc data set.

i googled a bit found a solution that worked for me, not sure if its a solution or just a work around but might be helpful to others so here it goes.

The issue seems to be with the numba==0.53.1 and downgrading to numba==0.52 has fixed the issue for me.

pip uninstall numba
pip install numba==0.52.0

Downgrading numba can through some errors so i followed instructions as discussed here "NVIDIA/NeMo#841"

simply run
pip install llvmlite --ignore-installed
pip install numba==0.52.0 --ignore-installed

you might see some errors/warnings but i restarted the kernel in jupyter lab and the whoel workflow worked like a charm and was very quick on NVIDIA 3090.

awesome work guys.

Thank you

Best regards
Monib

from rapids-single-cell-examples.

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