Pin CUDA runtime for Volta GPU tests

Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com>

Author: ChrisRackauckas

LocalPreferences.toml

@@ -0,0 +1,2 @@
+[CUDA_Runtime_jll]
+version = "12.9"

Project.toml

@@ -29,6 +29,7 @@ CommonSolve = "0.2"
 ConcreteStructs = "0.2"
 # cuDNN 9.11 dropped Volta support, but the GPU runner pool includes V100s.
 CUDNN_jll = "=9.10.0"
+CUDA_Runtime_jll = "0.19"
 DiffEqBase = "6.176.0, 7.0"
 Documenter = "1"
 FastClosures = "0.3"
@@ -63,6 +64,7 @@ julia = "1.10"
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 CUDNN_jll = "62b44479-cb7b-5706-934f-f13b2eb2e645"
+CUDA_Runtime_jll = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
@@ -83,4 +85,4 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["Aqua", "CUDNN_jll", "Documenter", "ForwardDiff", "Functors", "GPUArraysCore", "InteractiveUtils", "LuxCUDA", "LuxTestUtils", "MLDataDevices", "NLsolve", "NonlinearSolve", "OrdinaryDiffEq", "OrdinaryDiffEqAdamsBashforthMoulton", "SafeTestsets", "SciMLSensitivity", "SciMLTesting", "StableRNGs", "Test", "Zygote"]
+test = ["Aqua", "CUDNN_jll", "CUDA_Runtime_jll", "Documenter", "ForwardDiff", "Functors", "GPUArraysCore", "InteractiveUtils", "LuxCUDA", "LuxTestUtils", "MLDataDevices", "NLsolve", "NonlinearSolve", "OrdinaryDiffEq", "OrdinaryDiffEqAdamsBashforthMoulton", "SafeTestsets", "SciMLSensitivity", "SciMLTesting", "StableRNGs", "Test", "Zygote"]

test/shared_testsetup.jl

@@ -20,15 +20,18 @@ function cuda_testing()
         MLDataDevices.functional(CUDADevice)
 end
 
+if BACKEND_GROUP == "all" || BACKEND_GROUP == "cuda"
+    @test Base.pkgversion(CUDNN_jll) < v"9.11"
+    @test cuda_testing()
+end
+
 const MODES = begin
     modes = []
     cpu_testing() && push!(modes, ("cpu", Array, CPUDevice(), false))
     cuda_testing() && push!(modes, ("cuda", CuArray, CUDADevice(), true))
     modes
 end
 
-cuda_testing() && @test Base.pkgversion(CUDNN_jll) < v"9.11"
-
 is_finite_gradient(x::AbstractArray) = all(isfinite, x)
 is_finite_gradient(::Nothing) = true
 is_finite_gradient(gs) = all(is_finite_gradient, fleaves(gs))