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Have a look at the examples for different datasets in the src folder.
The metadata of each dataset, i.e. data type, dimension, integer types needed for indexing elements, etc., as well as configuration of the nearest neighbor graph such as number of neighbors needs to be compiled into the templated CUDA kernels.
One could probably build a few coarse templates that should cover a vast range of datasets without recompilation, which could then be used via Python. But that would be a considerable effort for which we currently lack the time to do so.
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