[Lang] Support LU sparse solver on CUDA backend #6967
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strongoier
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Issue: taichi-dev#2906 ### Brief Summary To be consistent with API on CPU backend, this pr provides LU sparse solver on CUDA backend. CuSolver just provides a CPU version API of LU sparse solver which is used in this PR. The cuSolverRF provides a GPU version LU solve, but it only supports `double` datatype. Thus, it's not used in this PR. Besides, the `print_triplets` is refactored to resolve the ndarray `read` constraints (the `read` and `write` data should be the same datatype). Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Issue: #2906
Brief Summary
To be consistent with API on CPU backend, this pr provides LU sparse solver on CUDA backend. CuSolver just provides a CPU version API of LU sparse solver which is used in this PR. The cuSolverRF provides a GPU version LU solve, but it only supports
doubledatatype. Thus, it's not used in this PR.Besides, the
print_tripletsis refactored to resolve the ndarrayreadconstraints (thereadandwritedata should be the same datatype).