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Hi,
At the moment it is not possible, because the sparse representation of L lives on the GPU.
It should be easy to do it by adding a function to copy the arrays to the CPU and returning a copy of them.
That said, if you care only about L and not solving triangular systems, then you might be better off using some other tools doing Cholesky decomposition on the CPU, e.g. SciPy
Thank you. I see but I am looking for a sparse solver where you can extract L. Do you know of any other sparse Cholesky python solvers apart from scikit-sparse?
I am trying to get the actual lower triangular matrix L out from CholeskySolverF but I have not succeeded so far. Is it possible?
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