Release 0.9.2

.github/workflows/test.yml

@@ -134,6 +134,13 @@ jobs:
           using Pkg
           Pkg.add("CUDA")
           Pkg.add("CUDSS")
+          # Pin the CUDA runtime to a 12.x toolkit so the self-hosted
+          # V100 runner keeps working: CUDA 13 dropped sm_70 support, and
+          # without this pin CUDA_Runtime_jll may auto-select CUDA 13.
+          # See JuliaGPU/CUDA.jl#3134 — once that fix is in a tagged
+          # CUDA.jl release, this pin can be removed.
+          using CUDA
+          CUDA.set_runtime_version!(v"12.9")
       - name: Add AMDGPU
         if: matrix.gpu == 'amdgpu'
         shell: julia --project=./lib/MadNLPGPU/test --color=yes {0}

Project.toml

@@ -1,6 +1,6 @@
 name = "MadNLP"
 uuid = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
-version = "0.9.1"
+version = "0.9.2"
 
 [deps]
 LDLFactorizations = "40e66cde-538c-5869-a4ad-c39174c6795b"

docs/install.jl

@@ -11,3 +11,10 @@ Base.compilecache(Base.identify_package("MadNLPTests"))
 Base.compilecache(Base.identify_package("MadNLPGPU"))
 Base.compilecache(Base.identify_package("MadNLP"))
 Pkg.instantiate()
+
+# Pin the CUDA runtime to a 12.x toolkit so the self-hosted V100 runner
+# keeps working: CUDA 13 dropped sm_70 support, and without this pin
+# CUDA_Runtime_jll may auto-select CUDA 13. See JuliaGPU/CUDA.jl#3134 —
+# once that fix is in a tagged CUDA.jl release, this pin can be removed.
+using CUDA
+CUDA.set_runtime_version!(v"12.9")

lib/MadNLPGPU/Project.toml

@@ -1,6 +1,6 @@
 name = "MadNLPGPU"
 uuid = "d72a61cc-809d-412f-99be-fd81f4b8a598"
-version = "0.8.0"
+version = "0.9.0"
 
 [deps]
 AMD = "14f7f29c-3bd6-536c-9a0b-7339e30b5a3e"

lib/MadNLPTests/Project.toml

@@ -1,6 +1,6 @@
 name = "MadNLPTests"
 uuid = "b52a2a03-04ab-4a5f-9698-6a2deff93217"
-version = "0.6.0"
+version = "0.6.1"
 
 [deps]
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"