Skip to content

Fix missing imports in CUDA extension #742

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 6 commits into from
Aug 19, 2025
Merged

Fix missing imports in CUDA extension #742

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
3161e37
Fix missing imports in CUDA extension
claude Aug 19, 2025
f66b516
Add sources section to LinearSolveAutotune Project.toml
claude Aug 19, 2025
a60e259
Move sources section to main Project.toml following OrdinaryDiffEq pa…
claude Aug 19, 2025
11ed2be
Fix sources section: LinearSolveAutotune should source LinearSolve
claude Aug 19, 2025
4331d74
Fix CUDA extension issues
claude Aug 19, 2025
b2e1c3f
Update src/factorization.jl
ChrisRackauckas Aug 19, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion Project.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -122,8 +122,8 @@ RecursiveFactorization = "0.2.23"
Reexport = "1.2.2"
SafeTestsets = "0.1"
SciMLBase = "2.70"
SciMLOperators = "1"
SciMLLogging = "1"
SciMLOperators = "1"
Setfield = "1.1.1"
SparseArrays = "1.10"
Sparspak = "0.3.9"
Expand Down
5 changes: 4 additions & 1 deletion ext/LinearSolveCUDAExt.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,13 +1,16 @@
module LinearSolveCUDAExt

using CUDA
using CUDA: CuVector, CuMatrix
using LinearSolve: LinearSolve, is_cusparse, defaultalg, cudss_loaded, DefaultLinearSolver,
DefaultAlgorithmChoice, ALREADY_WARNED_CUDSS, LinearCache,
needs_concrete_A,
error_no_cudss_lu, init_cacheval, OperatorAssumptions,
CudaOffloadFactorization, CudaOffloadLUFactorization, CudaOffloadQRFactorization,
SparspakFactorization, KLUFactorization, UMFPACKFactorization
SparspakFactorization, KLUFactorization, UMFPACKFactorization,
LinearVerbosity
using LinearSolve.LinearAlgebra, LinearSolve.SciMLBase, LinearSolve.ArrayInterface
using LinearAlgebra: LU
using SciMLBase: AbstractSciMLOperator

function LinearSolve.is_cusparse(A::Union{
Expand Down
3 changes: 3 additions & 0 deletions lib/LinearSolveAutotune/Project.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,9 @@ uuid = "67398393-80e8-4254-b7e4-1b9a36a3c5b6"
authors = ["SciML"]
version = "1.8.0"

[sources]
LinearSolve = {path = "../.."}

[deps]
Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
Expand Down
Loading