Don't select an algorithm for SVDFactorization

[avik-pal]

Selecting an algorithm for SVDFactorization will cause it to fail for CUDA. Possible solutions:

1. Keep it as nothing and use the default versions used in the downstream package

[ChrisRackauckas]

I don't get what this means.

[avik-pal]

LinearSolve.jl/src/factorization.jl

Line 324 in 7911113

SVDFactorization() = SVDFactorization(false, LinearAlgebra.DivideAndConquer())

sets the algorithm as DivideAndConquer, the CUSOLVER ones which is dispatched via svd(::CuArray) don't map directly to the LinearAlgebra ones so svd(::CuArray; alg = DivideAndConquer() is an error

[ChrisRackauckas]

I see. We had to do the same before with QR factorization pivoting choices. This is an easy thing to fix, good first issue.