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Use Adapt.jl for backend array conversion #236

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Merged
michel2323 merged 1 commit into from
Mar 10, 2026
+5 −48
Merged

Use Adapt.jl for backend array conversion #236

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11 changes: 2 additions & 9 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -4,13 +4,12 @@ authors = ["Sungho Shin <sushin@mit.edu>"]
version = "0.9.5"

[deps]
Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
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"
Expand All @@ -20,24 +19,19 @@ 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"
Adapt = "4"
Ipopt = "1.11"
JuMP = "1"
KernelAbstractions = "0.9"
Expand All @@ -49,4 +43,3 @@ OpenCL = "0.10"
SolverCore = "0.3"
SpecialFunctions = "2"
julia = "1.9"
oneAPI = "2"
7 changes: 0 additions & 7 deletions ext/ExaModelsAMDGPU.jl
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8 changes: 0 additions & 8 deletions ext/ExaModelsCUDA.jl
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2 changes: 0 additions & 2 deletions ext/ExaModelsKernelAbstractions.jl
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Expand Up @@ -3,8 +3,6 @@ module ExaModelsKernelAbstractions
import ExaModels: ExaModels, NLPModels
import KernelAbstractions: KernelAbstractions, @kernel, @index, @Const, synchronize, CPU

ExaModels.convert_array(v, backend::CPU) = v

function getitr(gen::UnitRange{Int64})
return gen
end
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19 changes: 0 additions & 19 deletions ext/ExaModelsOneAPI.jl
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2 changes: 0 additions & 2 deletions ext/ExaModelsOpenCL.jl
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Expand Up @@ -2,8 +2,6 @@ module ExaModelsOpenCL

import ExaModels, OpenCL

ExaModels.convert_array(v, backend::OpenCL.OpenCLBackend) = OpenCL.CLArray(v)

ExaModels.sort!(array::A; lt = isless) where {A<:OpenCL.CLArray} =
copyto!(array, sort!(Array(array); lt = lt))

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1 change: 1 addition & 0 deletions src/ExaModels.jl
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Expand Up @@ -7,6 +7,7 @@ For more information, please visit https://github.com/exanauts/ExaModels.jl
"""
module ExaModels

import Adapt: adapt
import NLPModels:
NLPModels,
obj,
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3 changes: 2 additions & 1 deletion src/templates.jl
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@@ -1,5 +1,6 @@
# A template for convert_array. This is extended in extension packages for each device architecture.
# Convert array to the appropriate device using Adapt.jl.
convert_array(v, ::Nothing) = v
convert_array(v, backend) = adapt(backend, v)

# to avoid type privacy
sort!(array; kwargs...) = Base.sort!(array; kwargs...)
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