-
-
Notifications
You must be signed in to change notification settings - Fork 54
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #495 from SciML/ap/fix_le
Fix the formatting
- Loading branch information
Showing
3 changed files
with
1,444 additions
and
1,441 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,61 +1,64 @@ | ||
| module LinearSolveCUDAExt | ||
|
|
||
| using CUDA | ||
| using LinearSolve | ||
| using LinearSolve.LinearAlgebra, LinearSolve.SciMLBase, LinearSolve.ArrayInterface | ||
| using SciMLBase: AbstractSciMLOperator | ||
|
|
||
| function LinearSolve.defaultalg(A::CUDA.CUSPARSE.CuSparseMatrixCSR{Tv, Ti}, b, | ||
| assump::OperatorAssumptions{Bool}) where {Tv, Ti} | ||
| if LinearSolve.cudss_loaded(A) | ||
| LinearSolve.DefaultLinearSolver(LinearSolve.DefaultAlgorithmChoice.LUFactorization) | ||
| else | ||
| if !LinearSolve.ALREADY_WARNED_CUDSS[] | ||
| @warn("CUDSS.jl is required for LU Factorizations on CuSparseMatrixCSR. Please load this library. Falling back to Krylov") | ||
| LinearSolve.ALREADY_WARNED_CUDSS[] = true | ||
| end | ||
| LinearSolve.DefaultLinearSolver(LinearSolve.DefaultAlgorithmChoice.KrylovJL_GMRES) | ||
| end | ||
| end | ||
|
|
||
| function LinearSolve.error_no_cudss_lu(A::CUDA.CUSPARSE.CuSparseMatrixCSR) | ||
| if !LinearSolve.CUDSS_LOADED[] | ||
| error("CUDSS.jl is required for LU Factorizations on CuSparseMatrixCSR. Please load this library.") | ||
| end | ||
| nothing | ||
| end | ||
|
|
||
| function SciMLBase.solve!(cache::LinearSolve.LinearCache, alg::CudaOffloadFactorization; | ||
| kwargs...) | ||
| if cache.isfresh | ||
| fact = qr(CUDA.CuArray(cache.A)) | ||
| cache.cacheval = fact | ||
| cache.isfresh = false | ||
| end | ||
| y = Array(ldiv!(CUDA.CuArray(cache.u), cache.cacheval, CUDA.CuArray(cache.b))) | ||
| cache.u .= y | ||
| SciMLBase.build_linear_solution(alg, y, nothing, cache) | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval(alg::CudaOffloadFactorization, A, b, u, Pl, Pr, | ||
| maxiters::Int, abstol, reltol, verbose::Bool, | ||
| assumptions::OperatorAssumptions) | ||
| qr(CUDA.CuArray(A)) | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval(::SparspakFactorization, A::CUDA.CUSPARSE.CuSparseMatrixCSR, b, u, | ||
| Pl, Pr, maxiters::Int, abstol, reltol, verbose::Bool, assumptions::OperatorAssumptions) | ||
| nothing | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval(::KLUFactorization, A::CUDA.CUSPARSE.CuSparseMatrixCSR, b, u, | ||
| Pl, Pr, maxiters::Int, abstol, reltol, verbose::Bool, assumptions::OperatorAssumptions) | ||
| nothing | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval(::UMFPACKFactorization, A::CUDA.CUSPARSE.CuSparseMatrixCSR, b, u, | ||
| Pl, Pr, maxiters::Int, abstol, reltol, verbose::Bool, assumptions::OperatorAssumptions) | ||
| nothing | ||
| end | ||
|
|
||
| end | ||
| module LinearSolveCUDAExt | ||
|
|
||
| using CUDA | ||
| using LinearSolve | ||
| using LinearSolve.LinearAlgebra, LinearSolve.SciMLBase, LinearSolve.ArrayInterface | ||
| using SciMLBase: AbstractSciMLOperator | ||
|
|
||
| function LinearSolve.defaultalg(A::CUDA.CUSPARSE.CuSparseMatrixCSR{Tv, Ti}, b, | ||
| assump::OperatorAssumptions{Bool}) where {Tv, Ti} | ||
| if LinearSolve.cudss_loaded(A) | ||
| LinearSolve.DefaultLinearSolver(LinearSolve.DefaultAlgorithmChoice.LUFactorization) | ||
| else | ||
| if !LinearSolve.ALREADY_WARNED_CUDSS[] | ||
| @warn("CUDSS.jl is required for LU Factorizations on CuSparseMatrixCSR. Please load this library. Falling back to Krylov") | ||
| LinearSolve.ALREADY_WARNED_CUDSS[] = true | ||
| end | ||
| LinearSolve.DefaultLinearSolver(LinearSolve.DefaultAlgorithmChoice.KrylovJL_GMRES) | ||
| end | ||
| end | ||
|
|
||
| function LinearSolve.error_no_cudss_lu(A::CUDA.CUSPARSE.CuSparseMatrixCSR) | ||
| if !LinearSolve.CUDSS_LOADED[] | ||
| error("CUDSS.jl is required for LU Factorizations on CuSparseMatrixCSR. Please load this library.") | ||
| end | ||
| nothing | ||
| end | ||
|
|
||
| function SciMLBase.solve!(cache::LinearSolve.LinearCache, alg::CudaOffloadFactorization; | ||
| kwargs...) | ||
| if cache.isfresh | ||
| fact = qr(CUDA.CuArray(cache.A)) | ||
| cache.cacheval = fact | ||
| cache.isfresh = false | ||
| end | ||
| y = Array(ldiv!(CUDA.CuArray(cache.u), cache.cacheval, CUDA.CuArray(cache.b))) | ||
| cache.u .= y | ||
| SciMLBase.build_linear_solution(alg, y, nothing, cache) | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval(alg::CudaOffloadFactorization, A, b, u, Pl, Pr, | ||
| maxiters::Int, abstol, reltol, verbose::Bool, | ||
| assumptions::OperatorAssumptions) | ||
| qr(CUDA.CuArray(A)) | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval( | ||
| ::SparspakFactorization, A::CUDA.CUSPARSE.CuSparseMatrixCSR, b, u, | ||
| Pl, Pr, maxiters::Int, abstol, reltol, verbose::Bool, assumptions::OperatorAssumptions) | ||
| nothing | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval( | ||
| ::KLUFactorization, A::CUDA.CUSPARSE.CuSparseMatrixCSR, b, u, | ||
| Pl, Pr, maxiters::Int, abstol, reltol, verbose::Bool, assumptions::OperatorAssumptions) | ||
| nothing | ||
| end | ||
|
|
||
| function LinearSolve.init_cacheval( | ||
| ::UMFPACKFactorization, A::CUDA.CUSPARSE.CuSparseMatrixCSR, b, u, | ||
| Pl, Pr, maxiters::Int, abstol, reltol, verbose::Bool, assumptions::OperatorAssumptions) | ||
| nothing | ||
| end | ||
|
|
||
| end |
Oops, something went wrong.