Reduce GPU backend specializatinos

Project.toml

@@ -9,44 +9,32 @@ Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 SolverCore = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
 
 [weakdeps]
-AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
-CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
 KernelAbstractions = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MadNLP = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
 MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
 NLPModelsIpopt = "f4238b75-b362-5c4c-b852-0801c9a21d71"
-OpenCL = "08131aa3-fb12-5dee-8b74-c09406e224a2"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
-oneAPI = "8f75cd03-7ff8-4ecb-9b8f-daf728133b1b"
 
 [extensions]
-ExaModelsAMDGPU = "AMDGPU"
-ExaModelsCUDA = "CUDA"
 ExaModelsIpopt = ["MathOptInterface", "NLPModelsIpopt"]
 ExaModelsJuMP = "JuMP"
 ExaModelsKernelAbstractions = "KernelAbstractions"
 ExaModelsLinearAlgebra = "LinearAlgebra"
 ExaModelsMOI = "MathOptInterface"
 ExaModelsMadNLP = ["MadNLP", "MathOptInterface"]
-ExaModelsOneAPI = "oneAPI"
-ExaModelsOpenCL = "OpenCL"
 ExaModelsSpecialFunctions = "SpecialFunctions"
 
 [compat]
-AMDGPU = "2"
-CUDA = "5"
 Ipopt = "1.11"
 JuMP = "1"
 KernelAbstractions = "0.9"
 MadNLP = "0.9"
 MathOptInterface = "1.19"
 NLPModels = "0.21"
 NLPModelsIpopt = "0.11"
-OpenCL = "0.10"
 SolverCore = "0.3"
 SpecialFunctions = "2"
 julia = "1.9"
-oneAPI = "2"

ext/ExaModelsKernelAbstractions.jl

@@ -4,6 +4,8 @@ import ExaModels: ExaModels, NLPModels
 import KernelAbstractions: KernelAbstractions, @kernel, @index, @Const, synchronize, CPU
 
 ExaModels.convert_array(v, backend::CPU) = v
+ExaModels.convert_array(v, backend) = KernelAbstractions.allocate(backend, eltype(v), length(v))
+
 
 function getitr(gen::UnitRange{Int64})
     return gen