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Merged
frapac merged 4 commits into from
Jun 9, 2026
Merged

bump to MadNLP 0.10 #25

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7fbb780
bump to MadNLP 0.10
frapac Jun 4, 2026
4803f64
fix version of MadNLPTests
frapac Jun 4, 2026
bb473b4
fix CUDA extension
frapac Jun 8, 2026
e976d37
quick fix
frapac Jun 8, 2026
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17 changes: 9 additions & 8 deletions Project.toml
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
name = "MadNCL"
uuid = "434a0bcb-5a7c-42b2-a9d3-9e3f760e7af0"
authors = ["fpacaud <francoispacaud8@gmail.com>", "amontoison <amontoison@anl.gov>"]
version = "0.2.2"
version = "0.2.3"

[deps]
Atomix = "a9b6321e-bd34-4604-b9c9-b65b8de01458"
Expand All @@ -14,21 +14,22 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"

[weakdeps]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
MadNLPGPU = "d72a61cc-809d-412f-99be-fd81f4b8a598"

[extensions]
MadNCLCUDAExt = ["MadNLPGPU"]
MadNCLCUDAExt = ["CUDA", "MadNLPGPU"]

[compat]
Atomix = "1.1.2"
CUDA = "5.4.0"
CUDA = "6"
FiniteDiff = "2.27.0"
JuMP = "1.30"
KernelAbstractions = "0.9"
LinearAlgebra = "1.10"
MadNLP = "0.9.1"
MadNLPGPU = "0.8"
MadNLPTests = "0.6"
MadNLP = "0.10"
MadNLPGPU = "0.10"
MadNLPTests = "0.6.2"
NLPModels = "0.21.9"
NLPModelsJuMP = "0.13"
Printf = "1.10"
Expand All @@ -38,12 +39,12 @@ Test = "1.10"
julia = "1.10"

[extras]
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
CUDSS = "45b445bb-4962-46a0-9369-b4df9d0f772e"
FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
MadNLPTests = "b52a2a03-04ab-4a5f-9698-6a2deff93217"
NLPModelsJuMP = "792afdf1-32c1-5681-94e0-d7bf7a5df49e"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["CUDA", "FiniteDiff", "JuMP", "MadNLPGPU", "MadNLPTests", "NLPModelsJuMP", "Test"]
test = ["CUDA", "CUDSS", "FiniteDiff", "JuMP", "MadNLPGPU", "MadNLPTests", "NLPModelsJuMP", "Test"]
9 changes: 5 additions & 4 deletions ext/MadNCLCUDAExt.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -3,13 +3,14 @@ module MadNCLCUDAExt
using LinearAlgebra
using SparseArrays
import MadNLPGPU
import MadNLPGPU.CUDA: CUSPARSE, CuVector, CUDABackend
import CUDA: cuSPARSE, CUDACore
import CUDA: CuVector, CUDABackend
import KernelAbstractions: synchronize
import MadNLP
import MadNCL

function MadNLP.transfer!(
dest::CUSPARSE.CuSparseMatrixCSC{Tv},
dest::cuSPARSE.CuSparseMatrixCSC{Tv},
src::MadNLP.SparseMatrixCOO{Tv},
map::CuVector{Int},
) where {Tv}
Expand All @@ -23,7 +24,7 @@ end

function MadNCL.symul!(
y::CuVector{T},
A::CUSPARSE.CuSparseMatrixCSC{T},
A::cuSPARSE.CuSparseMatrixCSC{T},
x::CuVector{T},
alpha::Number,
beta::Number,
Expand All @@ -38,7 +39,7 @@ end

function MadNLP.build_condensed_aug_coord!(
kkt::MadNCL.K1sAuglagKKTSystem{T,VT,MT},
) where {T,VT,MT<:CUSPARSE.CuSparseMatrixCSC{T}}
) where {T,VT,MT<:cuSPARSE.CuSparseMatrixCSC{T}}
fill!(kkt.aug_com.nzVal, zero(T))
if length(kkt.hptr) > 0
MadNLPGPU._transfer_hessian_kernel!(CUDABackend())(
Expand Down
1 change: 1 addition & 0 deletions test/cuda_wrapper.jl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@

using CUDA
using CUDSS
using MadNLPGPU

function test_model_gpu(ncl_cpu, ncl_gpu)
Expand Down
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