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Is the Ray framework essential for Cell type identification on a single node with 2 GPUs? #14
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Hi, it is fine to remove the ray framework as it was only used for speed up computating through using mutili-processes |
Thanks for your work on decomposition of spatial transcriptomic data. However, I am now stucked in the
ray.init()
, which always throws out of errors:I tried several versions:
ray 2.0.0 with grpcio 1.43.0
andray 2.0.0 with grpcio 1.46.3
, and changed thetemp_dir
in theray.init()
ofsrc/Cell_Type_Identification.py
with no success. I also triedray.init()
withlocal_mode=True
, which gave the same error.What I wander is that, for my cluster's config with 1 head node and 1 compute node with 2 GPUs, is it possible to get rid of the ray framework and just run on a local mode?
I read a part of the source code, and it seems that I could modify the code to not use the Ray framework. What I'm not sure is that would the remove of ray influence the results of data analysis?
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